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Add lean source and binary files (part 56)

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  1. lean/OAI/Combinatorics/Sensitivity/RecursiveJointZero.lean +97 -0
  2. lean/OAI/Combinatorics/Sensitivity/RecursiveOne.lean +150 -0
  3. lean/OAI/Combinatorics/Sensitivity/RecursiveProfiles.lean +110 -0
  4. lean/OAI/Combinatorics/Sensitivity/RecursiveRepair.lean +103 -0
  5. lean/OAI/Combinatorics/Sensitivity/RecursiveSets.lean +89 -0
  6. lean/OAI/Combinatorics/Sensitivity/RecursiveZero.lean +121 -0
  7. lean/OAI/Combinatorics/Sensitivity/Reindex.lean +106 -0
  8. lean/OAI/Combinatorics/Sensitivity/ScalarBounds.lean +54 -0
  9. lean/OAI/Combinatorics/Sensitivity/SeedAmplification.lean +47 -0
  10. lean/OAI/Combinatorics/Sensitivity/Separation.lean +57 -0
  11. lean/OAI/Combinatorics/Sensitivity/SeparationArithmetic.lean +116 -0
  12. lean/OAI/Combinatorics/Sensitivity/Tournament.lean +68 -0
  13. lean/OAI/Combinatorics/Sensitivity/TournamentCounts.lean +69 -0
  14. lean/OAI/Combinatorics/Sensitivity/TournamentCyclic.lean +53 -0
  15. lean/OAI/Combinatorics/Sensitivity/Tower.lean +161 -0
  16. lean/OAI/Combinatorics/Sensitivity/TowerProfiles.lean +80 -0
  17. lean/OAI/Combinatorics/Sensitivity/UniformCoordinates.lean +31 -0
  18. lean/OAI/Combinatorics/SharpRamsey/Bounds/FromConstruction.lean +79 -0
  19. lean/OAI/Combinatorics/SharpRamsey/Bounds/Lower.lean +186 -0
  20. lean/OAI/Combinatorics/SharpRamsey/Bounds/SamplingParameter.lean +313 -0
  21. lean/OAI/Combinatorics/SharpRamsey/Bounds/SumFiberCenter.lean +461 -0
  22. lean/OAI/Combinatorics/SharpRamsey/Bounds/Upper.lean +452 -0
  23. lean/OAI/Combinatorics/SharpRamsey/Construction/FiniteStreamTail.lean +124 -0
  24. lean/OAI/Combinatorics/SharpRamsey/Construction/FlagConstruction.lean +217 -0
  25. lean/OAI/Combinatorics/SharpRamsey/Construction/GraphWitness.lean +73 -0
  26. lean/OAI/Combinatorics/SharpRamsey/Construction/InitialLaw.lean +121 -0
  27. lean/OAI/Combinatorics/SharpRamsey/Construction/InitialRectangles.lean +137 -0
  28. lean/OAI/Combinatorics/SharpRamsey/Construction/InitialTools.lean +96 -0
  29. lean/OAI/Combinatorics/SharpRamsey/Construction/PrimeConstruction.lean +35 -0
  30. lean/OAI/Combinatorics/SharpRamsey/Construction/RectangleStreamEvent.lean +157 -0
  31. lean/OAI/Combinatorics/SharpRamsey/Construction/SourceSizes.lean +47 -0
  32. lean/OAI/Combinatorics/SharpRamsey/Entropy/AnchorEventsRealized.lean +478 -0
  33. lean/OAI/Combinatorics/SharpRamsey/Entropy/CompleteProgramWeight.lean +463 -0
  34. lean/OAI/Combinatorics/SharpRamsey/Entropy/ComponentLabelWitness.lean +460 -0
  35. lean/OAI/Combinatorics/SharpRamsey/Entropy/ExternalMass.lean +478 -0
  36. lean/OAI/Combinatorics/SharpRamsey/Entropy/ForcedHits.lean +467 -0
  37. lean/OAI/Combinatorics/SharpRamsey/Entropy/HighMoments.lean +423 -0
  38. lean/OAI/Combinatorics/SharpRamsey/Entropy/HighRankEntropy.lean +63 -0
  39. lean/OAI/Combinatorics/SharpRamsey/Entropy/InformationScales.lean +30 -0
  40. lean/OAI/Combinatorics/SharpRamsey/Entropy/IntegralTypicalScoreSq.lean +450 -0
  41. lean/OAI/Combinatorics/SharpRamsey/Entropy/LabelledFilterCard.lean +469 -0
  42. lean/OAI/Combinatorics/SharpRamsey/Entropy/LargeCard.lean +448 -0
  43. lean/OAI/Combinatorics/SharpRamsey/Entropy/MakePair.lean +470 -0
  44. lean/OAI/Combinatorics/SharpRamsey/Entropy/MarkingTwoEntropy.lean +66 -0
  45. lean/OAI/Combinatorics/SharpRamsey/Entropy/NewEvents.lean +487 -0
  46. lean/OAI/Combinatorics/SharpRamsey/Entropy/PatchNotMem.lean +454 -0
  47. lean/OAI/Combinatorics/SharpRamsey/Entropy/PoissonLaw.lean +465 -0
  48. lean/OAI/Combinatorics/SharpRamsey/Entropy/ProtocolEntropy.lean +90 -0
  49. lean/OAI/Combinatorics/SharpRamsey/Entropy/ReciprocalEntropy.lean +114 -0
  50. lean/OAI/Combinatorics/SharpRamsey/Entropy/SelectedEntropy.lean +67 -0
lean/OAI/Combinatorics/Sensitivity/RecursiveJointZero.lean ADDED
@@ -0,0 +1,97 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ import OAI.Combinatorics.Sensitivity.RecursiveCandidates
2
+
3
+ namespace OAI
4
+
5
+ /-! The joint zero recurrence uses the fixed weaker-threshold failure lists. -/
6
+
7
+ noncomputable section
8
+ open scoped Classical
9
+
10
+ namespace Paper320
11
+
12
+ theorem recursive_joint_zero_at {k r h : ℕ} {I : Type} [Fintype I]
13
+ (T : Tournament k) (A : GoodLabeling T r)
14
+ (F : Fin (h + 1) → (I → Bool) → Bool) (hF : NestedFamily F) (hr : 0 < r)
15
+ (q q' : Fin h) (hqq : q < q') (x : ((Fin k × Fin r) × I) → Bool)
16
+ (hx : recursiveFamily T A.label F q x = false)
17
+ (hx' : recursiveFamily T A.label F q' x = false) :
18
+ jointSensitivityAt (recursiveFamily T A.label F q) (recursiveFamily T A.label F q') x ≤
19
+ 16 * sideSensitivity F false + 3 * jointSensitivity F true := by
20
+ let TC := targetCandidates T A.label F q x
21
+ let GC := gateCandidates T A.label F q x
22
+ let w := gateWitness T A.label F q x
23
+ let U := TC.biUnion fun i => childChanges F (Fin.last h) x i (targetWitness F x hr i)
24
+ let V := GC.biUnion fun i => childJointChanges F (gateIndex q') (gateIndex q) x (w i) (A.label i (w i))
25
+ have hsub : (Finset.univ.filter fun p =>
26
+ recursiveFamily T A.label F q (flip x {p}) ≠ recursiveFamily T A.label F q x ∧
27
+ recursiveFamily T A.label F q' (flip x {p}) ≠ recursiveFamily T A.label F q' x) ⊆ U ∪ V := by
28
+ rintro ⟨⟨j, c⟩, a⟩ hp
29
+ have hchange := (Finset.mem_filter.mp hp).2
30
+ have hon' : recursiveFamily T A.label F q' (flip x {((j, c), a)}) = true := by
31
+ cases hy : recursiveFamily T A.label F q' (flip x {((j, c), a)})
32
+ · exact False.elim (hchange.2 (hy.trans hx'.symm))
33
+ · rfl
34
+ obtain ⟨i, hi'⟩ := (recursiveFamily_eq_true_iff T A.label F q' _).mp hon'
35
+ have hi := rowClause_nested T A.label F hF hqq.le _ i hi'
36
+ have hioff := (recursiveFamily_eq_false_iff T A.label F q x).mp hx i
37
+ rcases rowClause_repair_cases T A.label F q x i j c a hioff hi with
38
+ ⟨hit, hji, htoff, hton⟩ | ⟨hig, hij, rfl, hgon, hgoff⟩
39
+ · subst j
40
+ have hc := targetWitness_unique T A.label F q x hr i hit c htoff
41
+ apply Finset.mem_union_left
42
+ apply Finset.mem_biUnion.mpr
43
+ refine ⟨i, hit, ?_⟩
44
+ have hn : F (Fin.last h) (flip (recursiveChild x i c) {a}) ≠
45
+ F (Fin.last h) (recursiveChild x i c) := by simp [hton, htoff]
46
+ simpa [childChanges, hc] using hn
47
+ · have hj := gateWitness_unique T A.label F q x i hig j hij hgon
48
+ have hgon' := hF.accepts_of_le (gateIndex_strictAnti hqq).le hgon
49
+ have hgoff' := ((rowClause_eq_true_iff T A.label F q' _ i).mp hi').2 j hij
50
+ rw [recursiveChild_flip_same] at hgoff'
51
+ apply Finset.mem_union_right
52
+ apply Finset.mem_biUnion.mpr
53
+ refine ⟨i, hig, ?_⟩
54
+ have hn :
55
+ F (gateIndex q') (flip (recursiveChild x j (A.label i j)) {a}) ≠
56
+ F (gateIndex q') (recursiveChild x j (A.label i j)) ∧
57
+ F (gateIndex q) (flip (recursiveChild x j (A.label i j)) {a}) ≠
58
+ F (gateIndex q) (recursiveChild x j (A.label i j)) := by
59
+ simp [hgon, hgoff, hgon', hgoff']
60
+ simpa [childJointChanges, w, hj] using hn
61
+ have hU : U.card ≤ 16 * sideSensitivity F false := by
62
+ calc
63
+ U.card ≤ TC.card * sideSensitivity F false :=
64
+ card_biUnion_le_mul TC _ _ (fun i hi => by
65
+ rw [childChanges_card]
66
+ exact sensitivityAt_le_sideSensitivity F false _ _
67
+ (targetWitness_false T A.label F q x hr i hi))
68
+ _ ≤ 16 * sideSensitivity F false := Nat.mul_le_mul_right _
69
+ (Nat.le_of_lt (targetCandidates_card T A F hF q x hr))
70
+ have hV : V.card ≤ 3 * jointSensitivity F true := by
71
+ calc
72
+ V.card ≤ GC.card * jointSensitivity F true :=
73
+ card_biUnion_le_mul GC _ _ (fun i hi => by
74
+ rw [childJointChanges_card]
75
+ have hg := (gateWitness_spec T A.label F q x i hi).2
76
+ exact jointSensitivityAt_le_jointSensitivity F true _ _ _
77
+ (gateIndex_strictAnti hqq) (hF.accepts_of_le (gateIndex_strictAnti hqq).le hg) hg)
78
+ _ ≤ 3 * jointSensitivity F true := Nat.mul_le_mul_right _ (gateCandidates_card T A.label F hF q x)
79
+ calc
80
+ jointSensitivityAt (recursiveFamily T A.label F q) (recursiveFamily T A.label F q') x ≤
81
+ (U ∪ V).card := Finset.card_le_card hsub
82
+ _ ≤ U.card + V.card := Finset.card_union_le _ _
83
+ _ ≤ _ := Nat.add_le_add hU hV
84
+
85
+ theorem recursive_joint_zero {k r h : ℕ} {I : Type} [Fintype I]
86
+ (T : Tournament k) (A : GoodLabeling T r)
87
+ (F : Fin (h + 1) → (I → Bool) → Bool) (hF : NestedFamily F) (hr : 0 < r) :
88
+ jointSensitivity (recursiveFamily T A.label F) false ≤
89
+ 16 * sideSensitivity F false + 3 * jointSensitivity F true := by
90
+ apply jointSensitivity_le
91
+ exact fun q q' x hqq hx hx' => recursive_joint_zero_at T A F hF hr q q' hqq x hx hx'
92
+
93
+ end Paper320
94
+
95
+ end
96
+
97
+ end OAI
lean/OAI/Combinatorics/Sensitivity/RecursiveOne.lean ADDED
@@ -0,0 +1,150 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ import OAI.Combinatorics.Sensitivity.RecursiveSets
2
+
3
+ namespace OAI
4
+
5
+ /-! The two recurrences for inputs at which the parent predicates accept. -/
6
+
7
+ noncomputable section
8
+ open scoped Classical
9
+
10
+ namespace Paper320
11
+
12
+ theorem recursive_sensitivity_one_at {k r h : ℕ} {I : Type} [Fintype I]
13
+ (T : Tournament k) (label : Fin k → Fin k → Fin r)
14
+ (F : Fin (h + 1) → (I → Bool) → Bool) (o : ℕ)
15
+ (ho : ∀ i, (Finset.univ.filter (T.Adj i)).card = o)
16
+ (q : Fin h) (x : ((Fin k × Fin r) × I) → Bool)
17
+ (hx : recursiveFamily T label F q x = true) :
18
+ sensitivityAt (recursiveFamily T label F q) x ≤
19
+ o * sideSensitivity F false + r * sideSensitivity F true := by
20
+ obtain ⟨i, hi⟩ := (recursiveFamily_eq_true_iff T label F q x).mp hx
21
+ have hcond := (rowClause_eq_true_iff T label F q x i).mp hi
22
+ let U := Finset.univ.biUnion fun c => childChanges F (Fin.last h) x i c
23
+ let V := (Finset.univ.filter (T.Adj i)).biUnion fun j =>
24
+ childChanges F (gateIndex q) x j (label i j)
25
+ have hsub : (Finset.univ.filter fun p =>
26
+ recursiveFamily T label F q (flip x {p}) ≠ recursiveFamily T label F q x) ⊆ U ∪ V := by
27
+ rintro ⟨⟨j, c⟩, a⟩ hp
28
+ have hchange := (Finset.mem_filter.mp hp).2
29
+ have hf : recursiveFamily T label F q (flip x {((j, c), a)}) = false := by
30
+ cases hy : recursiveFamily T label F q (flip x {((j, c), a)})
31
+ · rfl
32
+ · exact False.elim (hchange (hy.trans hx.symm))
33
+ have hif := (recursiveFamily_eq_false_iff T label F q _).mp hf i
34
+ have hic : rowClause T label F q (flip x {((j, c), a)}) i ≠ rowClause T label F q x i := by
35
+ simp [hi, hif]
36
+ rcases rowClause_flip_change T label F q x i j c a hic with ⟨rfl, ht⟩ | ⟨hij, rfl, hg⟩
37
+ · apply Finset.mem_union_left
38
+ apply Finset.mem_biUnion.mpr
39
+ exact ⟨c, Finset.mem_univ _, by simpa [childChanges] using ht⟩
40
+ · apply Finset.mem_union_right
41
+ apply Finset.mem_biUnion.mpr
42
+ exact ⟨j, Finset.mem_filter.mpr ⟨Finset.mem_univ _, hij⟩,
43
+ by simpa [childChanges] using hg⟩
44
+ have hU : U.card ≤ r * sideSensitivity F true := by
45
+ simpa [U] using card_biUnion_le_mul Finset.univ
46
+ (fun c => childChanges F (Fin.last h) x i c) (sideSensitivity F true)
47
+ (fun c _ => by
48
+ rw [childChanges_card]
49
+ exact sensitivityAt_le_sideSensitivity F true _ _ (hcond.1 c))
50
+ have hV : V.card ≤ o * sideSensitivity F false := by
51
+ simpa only [V, ho i] using card_biUnion_le_mul (Finset.univ.filter (T.Adj i))
52
+ (fun j => childChanges F (gateIndex q) x j (label i j)) (sideSensitivity F false)
53
+ (fun j hj => by
54
+ rw [childChanges_card]
55
+ exact sensitivityAt_le_sideSensitivity F false _ _
56
+ (hcond.2 j (Finset.mem_filter.mp hj).2))
57
+ calc
58
+ sensitivityAt (recursiveFamily T label F q) x ≤ (U ∪ V).card := Finset.card_le_card hsub
59
+ _ ≤ U.card + V.card := Finset.card_union_le _ _
60
+ _ ≤ r * sideSensitivity F true + o * sideSensitivity F false := Nat.add_le_add hU hV
61
+ _ = _ := Nat.add_comm _ _
62
+
63
+ theorem recursive_side_one {k r h : ℕ} {I : Type} [Fintype I]
64
+ (T : Tournament k) (label : Fin k → Fin k → Fin r)
65
+ (F : Fin (h + 1) → (I → Bool) → Bool) (o : ℕ)
66
+ (ho : ∀ i, (Finset.univ.filter (T.Adj i)).card = o) :
67
+ sideSensitivity (recursiveFamily T label F) true ≤
68
+ o * sideSensitivity F false + r * sideSensitivity F true := by
69
+ apply sideSensitivity_le
70
+ exact fun q x hx => recursive_sensitivity_one_at T label F o ho q x hx
71
+
72
+ theorem recursive_joint_one_at {k r h : ℕ} {I : Type} [Fintype I]
73
+ (T : Tournament k) (label : Fin k → Fin k → Fin r)
74
+ (F : Fin (h + 1) → (I → Bool) → Bool) (hF : NestedFamily F) (o : ℕ)
75
+ (ho : ∀ i, (Finset.univ.filter (T.Adj i)).card = o)
76
+ (q q' : Fin h) (hqq : q < q') (x : ((Fin k × Fin r) × I) → Bool)
77
+ (hx : recursiveFamily T label F q x = true)
78
+ (hx' : recursiveFamily T label F q' x = true) :
79
+ jointSensitivityAt (recursiveFamily T label F q) (recursiveFamily T label F q') x ≤
80
+ o * jointSensitivity F false + r * sideSensitivity F true := by
81
+ obtain ⟨i, hi'⟩ := (recursiveFamily_eq_true_iff T label F q' x).mp hx'
82
+ have hi := rowClause_nested T label F hF hqq.le x i hi'
83
+ have hcond := (rowClause_eq_true_iff T label F q x i).mp hi
84
+ have hcond' := (rowClause_eq_true_iff T label F q' x i).mp hi'
85
+ let U := Finset.univ.biUnion fun c => childChanges F (Fin.last h) x i c
86
+ let V := (Finset.univ.filter (T.Adj i)).biUnion fun j =>
87
+ childJointChanges F (gateIndex q') (gateIndex q) x j (label i j)
88
+ have hsub : (Finset.univ.filter fun p =>
89
+ recursiveFamily T label F q (flip x {p}) ≠ recursiveFamily T label F q x ∧
90
+ recursiveFamily T label F q' (flip x {p}) ≠ recursiveFamily T label F q' x) ⊆ U ∪ V := by
91
+ rintro ⟨⟨j, c⟩, a⟩ hp
92
+ have hchange := (Finset.mem_filter.mp hp).2
93
+ have hf : recursiveFamily T label F q (flip x {((j, c), a)}) = false := by
94
+ cases hy : recursiveFamily T label F q (flip x {((j, c), a)})
95
+ · rfl
96
+ · exact False.elim (hchange.1 (hy.trans hx.symm))
97
+ have hf' : recursiveFamily T label F q' (flip x {((j, c), a)}) = false := by
98
+ cases hy : recursiveFamily T label F q' (flip x {((j, c), a)})
99
+ · rfl
100
+ · exact False.elim (hchange.2 (hy.trans hx'.symm))
101
+ have hif := (recursiveFamily_eq_false_iff T label F q _).mp hf i
102
+ have hif' := (recursiveFamily_eq_false_iff T label F q' _).mp hf' i
103
+ have hic : rowClause T label F q (flip x {((j, c), a)}) i ≠ rowClause T label F q x i := by
104
+ simp [hi, hif]
105
+ have hic' : rowClause T label F q' (flip x {((j, c), a)}) i ≠ rowClause T label F q' x i := by
106
+ simp [hi', hif']
107
+ rcases rowClause_joint_flip_change T label F q q' x i j c a hic hic' with
108
+ ⟨rfl, ht⟩ | ⟨hij, rfl, hg, hg'⟩
109
+ · apply Finset.mem_union_left
110
+ apply Finset.mem_biUnion.mpr
111
+ exact ⟨c, Finset.mem_univ _, by simpa [childChanges] using ht⟩
112
+ · apply Finset.mem_union_right
113
+ apply Finset.mem_biUnion.mpr
114
+ exact ⟨j, Finset.mem_filter.mpr ⟨Finset.mem_univ _, hij⟩,
115
+ by simpa [childJointChanges] using And.intro hg' hg⟩
116
+ have hU : U.card ≤ r * sideSensitivity F true := by
117
+ simpa [U] using card_biUnion_le_mul Finset.univ
118
+ (fun c => childChanges F (Fin.last h) x i c) (sideSensitivity F true)
119
+ (fun c _ => by
120
+ rw [childChanges_card]
121
+ exact sensitivityAt_le_sideSensitivity F true _ _ (hcond.1 c))
122
+ have hV : V.card ≤ o * jointSensitivity F false := by
123
+ simpa only [V, ho i] using card_biUnion_le_mul (Finset.univ.filter (T.Adj i))
124
+ (fun j => childJointChanges F (gateIndex q') (gateIndex q) x j (label i j))
125
+ (jointSensitivity F false) (fun j hj => by
126
+ have hij := (Finset.mem_filter.mp hj).2
127
+ rw [childJointChanges_card]
128
+ exact jointSensitivityAt_le_jointSensitivity F false _ _ _
129
+ (gateIndex_strictAnti hqq) (hcond'.2 j hij) (hcond.2 j hij))
130
+ calc
131
+ jointSensitivityAt (recursiveFamily T label F q) (recursiveFamily T label F q') x ≤
132
+ (U ∪ V).card := Finset.card_le_card hsub
133
+ _ ≤ U.card + V.card := Finset.card_union_le _ _
134
+ _ ≤ r * sideSensitivity F true + o * jointSensitivity F false := Nat.add_le_add hU hV
135
+ _ = _ := Nat.add_comm _ _
136
+
137
+ theorem recursive_joint_one {k r h : ℕ} {I : Type} [Fintype I]
138
+ (T : Tournament k) (label : Fin k → Fin k → Fin r)
139
+ (F : Fin (h + 1) → (I → Bool) → Bool) (hF : NestedFamily F) (o : ℕ)
140
+ (ho : ∀ i, (Finset.univ.filter (T.Adj i)).card = o) :
141
+ jointSensitivity (recursiveFamily T label F) true ≤
142
+ o * jointSensitivity F false + r * sideSensitivity F true := by
143
+ apply jointSensitivity_le
144
+ exact fun q q' x hqq hx hx' => recursive_joint_one_at T label F hF o ho q q' hqq x hx hx'
145
+
146
+ end Paper320
147
+
148
+ end
149
+
150
+ end OAI
lean/OAI/Combinatorics/Sensitivity/RecursiveProfiles.lean ADDED
@@ -0,0 +1,110 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ import OAI.Combinatorics.Sensitivity.Model
2
+
3
+ namespace OAI
4
+
5
+ /-! The side and joint profiles count literal flips of the same raw input. -/
6
+
7
+ noncomputable section
8
+ open scoped Classical
9
+
10
+ namespace Paper320
11
+
12
+ /-- Acceptance at a stronger index implies acceptance at every weaker index. -/
13
+ structure NestedFamily {h : ℕ} {I : Type}
14
+ (F : Fin h → (I → Bool) → Bool) : Prop where
15
+ accepts_of_le : ∀ {q q' : Fin h} {x}, q ≤ q' → F q' x = true → F q x = true
16
+
17
+ theorem NestedFamily.rejects_of_le {h : ℕ} {I : Type}
18
+ {F : Fin h → (I → Bool) → Bool} (hF : NestedFamily F)
19
+ {q q' : Fin h} {x} (hqq : q ≤ q') (hx : F q x = false) :
20
+ F q' x = false := by
21
+ cases h' : F q' x
22
+ · rfl
23
+ · have := hF.accepts_of_le hqq h'
24
+ simp [hx] at this
25
+
26
+ /-- The number of coordinates whose one-bit flip changes both predicates. -/
27
+ def jointSensitivityAt {I : Type} [Fintype I]
28
+ (f g : (I → Bool) → Bool) (x : I → Bool) : ℕ :=
29
+ (Finset.univ.filter fun i =>
30
+ f (flip x {i}) ≠ f x ∧ g (flip x {i}) ≠ g x).card
31
+
32
+ /-- Maximum sensitivity over all indices and inputs with the indicated output. -/
33
+ def sideSensitivity {h : ℕ} {I : Type} [Fintype I]
34
+ (F : Fin h → (I → Bool) → Bool) (b : Bool) : ℕ :=
35
+ Finset.univ.sup fun q => Finset.univ.sup fun x =>
36
+ if F q x = b then sensitivityAt (F q) x else 0
37
+
38
+ /-- Maximum same-input, same-bit joint sensitivity over two distinct ordered indices. -/
39
+ def jointSensitivity {h : ℕ} {I : Type} [Fintype I]
40
+ (F : Fin h → (I → Bool) → Bool) (b : Bool) : ℕ :=
41
+ Finset.univ.sup fun q => Finset.univ.sup fun q' => Finset.univ.sup fun x =>
42
+ if q < q' ∧ F q x = b ∧ F q' x = b then
43
+ jointSensitivityAt (F q) (F q') x else 0
44
+
45
+ theorem sensitivityAt_le_sideSensitivity {h : ℕ} {I : Type} [Fintype I]
46
+ (F : Fin h → (I → Bool) → Bool) (b : Bool) (q : Fin h) (x : I → Bool)
47
+ (hx : F q x = b) : sensitivityAt (F q) x ≤ sideSensitivity F b := by
48
+ apply Finset.le_sup_of_le (Finset.mem_univ q)
49
+ apply Finset.le_sup_of_le (Finset.mem_univ x)
50
+ simp [hx]
51
+
52
+ theorem sideSensitivity_le {h : ℕ} {I : Type} [Fintype I]
53
+ (F : Fin h → (I → Bool) → Bool) (b : Bool) (B : ℕ)
54
+ (hB : ∀ q x, F q x = b → sensitivityAt (F q) x ≤ B) :
55
+ sideSensitivity F b ≤ B := by
56
+ apply Finset.sup_le
57
+ intro q _
58
+ apply Finset.sup_le
59
+ intro x _
60
+ split_ifs with hx
61
+ · exact hB q x hx
62
+ · exact Nat.zero_le _
63
+
64
+ theorem jointSensitivityAt_le_jointSensitivity {h : ℕ} {I : Type} [Fintype I]
65
+ (F : Fin h → (I → Bool) → Bool) (b : Bool) (q q' : Fin h) (x : I → Bool)
66
+ (hqq : q < q') (hx : F q x = b) (hx' : F q' x = b) :
67
+ jointSensitivityAt (F q) (F q') x ≤ jointSensitivity F b := by
68
+ apply Finset.le_sup_of_le (Finset.mem_univ q)
69
+ apply Finset.le_sup_of_le (Finset.mem_univ q')
70
+ apply Finset.le_sup_of_le (Finset.mem_univ x)
71
+ simp [hqq, hx, hx']
72
+
73
+ theorem jointSensitivity_le {h : ℕ} {I : Type} [Fintype I]
74
+ (F : Fin h → (I → Bool) → Bool) (b : Bool) (B : ℕ)
75
+ (hB : ∀ q q' x, q < q' → F q x = b → F q' x = b →
76
+ jointSensitivityAt (F q) (F q') x ≤ B) : jointSensitivity F b ≤ B := by
77
+ apply Finset.sup_le
78
+ intro q _
79
+ apply Finset.sup_le
80
+ intro q' _
81
+ apply Finset.sup_le
82
+ intro x _
83
+ split_ifs with hx
84
+ · exact hB q q' x hx.1 hx.2.1 hx.2.2
85
+ · exact Nat.zero_le _
86
+
87
+ theorem jointSensitivityAt_le_left {I : Type} [Fintype I]
88
+ (f g : (I → Bool) → Bool) (x : I → Bool) :
89
+ jointSensitivityAt f g x ≤ sensitivityAt f x := by
90
+ apply Finset.card_le_card
91
+ intro i hi
92
+ exact Finset.mem_filter.mpr ⟨Finset.mem_univ _, (Finset.mem_filter.mp hi).2.1⟩
93
+
94
+ theorem jointSensitivityAt_comm {I : Type} [Fintype I]
95
+ (f g : (I → Bool) → Bool) (x : I → Bool) :
96
+ jointSensitivityAt f g x = jointSensitivityAt g f x := by
97
+ simp only [jointSensitivityAt, and_comm]
98
+
99
+ theorem jointSensitivity_one {I : Type} [Fintype I]
100
+ (F : Fin 1 → (I → Bool) → Bool) (b : Bool) : jointSensitivity F b = 0 := by
101
+ apply Nat.eq_zero_of_le_zero
102
+ apply jointSensitivity_le
103
+ intro q q' x hqq _ _
104
+ exact False.elim (by omega)
105
+
106
+ end Paper320
107
+
108
+ end
109
+
110
+ end OAI
lean/OAI/Combinatorics/Sensitivity/RecursiveRepair.lean ADDED
@@ -0,0 +1,103 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ import OAI.Combinatorics.Sensitivity.RecursiveFailures
2
+
3
+ namespace OAI
4
+
5
+ /-! A successful raw-bit flip repairs the unique initial failed condition. -/
6
+
7
+ noncomputable section
8
+ open scoped Classical
9
+
10
+ namespace Paper320
11
+
12
+ theorem repaired_target_location {k r h : ℕ} {I : Type} (T : Tournament k)
13
+ (label : Fin k → Fin k → Fin r) (F : Fin (h + 1) → (I → Bool) → Bool)
14
+ (q : Fin h) (x : ((Fin k × Fin r) × I) → Bool)
15
+ (i j : Fin k) (c c' : Fin r) (a : I)
16
+ (hf : rowClause T label F q (flip x {((j, c), a)}) i = true)
17
+ (hz : F (Fin.last h) (recursiveChild x i c') = false) : (i, c') = (j, c) := by
18
+ by_contra hne
19
+ have ht := ((rowClause_eq_true_iff T label F q _ i).mp hf).1 c'
20
+ rw [recursiveChild_flip_other x j i c c' a hne, hz] at ht
21
+ exact Bool.false_ne_true ht
22
+
23
+ theorem repaired_gate_location {k r h : ℕ} {I : Type} (T : Tournament k)
24
+ (label : Fin k → Fin k → Fin r) (F : Fin (h + 1) → (I → Bool) → Bool)
25
+ (q : Fin h) (x : ((Fin k × Fin r) × I) → Bool)
26
+ (i j j' : Fin k) (c : Fin r) (a : I)
27
+ (hf : rowClause T label F q (flip x {((j, c), a)}) i = true)
28
+ (hij' : T.Adj i j') (hon : F (gateIndex q) (recursiveChild x j' (label i j')) = true) :
29
+ (j', label i j') = (j, c) := by
30
+ by_contra hne
31
+ have hg := ((rowClause_eq_true_iff T label F q _ i).mp hf).2 j' hij'
32
+ rw [recursiveChild_flip_other x j j' c (label i j') a hne, hon] at hg
33
+ exact Bool.false_ne_true hg.symm
34
+
35
+ theorem rowClause_repair_cases {k r h : ℕ} {I : Type} (T : Tournament k)
36
+ (label : Fin k → Fin k → Fin r) (F : Fin (h + 1) → (I → Bool) → Bool)
37
+ (q : Fin h) (x : ((Fin k × Fin r) × I) → Bool)
38
+ (i j : Fin k) (c : Fin r) (a : I)
39
+ (hi : rowClause T label F q x i = false)
40
+ (hf : rowClause T label F q (flip x {((j, c), a)}) i = true) :
41
+ (i ∈ targetCandidates T label F q x ∧ j = i ∧
42
+ F (Fin.last h) (recursiveChild x j c) = false ∧
43
+ F (Fin.last h) (flip (recursiveChild x j c) {a}) = true) ∨
44
+ (i ∈ gateCandidates T label F q x ∧ T.Adj i j ∧ c = label i j ∧
45
+ F (gateIndex q) (recursiveChild x j c) = true ∧
46
+ F (gateIndex q) (flip (recursiveChild x j c) {a}) = false) := by
47
+ have hchange : rowClause T label F q (flip x {((j, c), a)}) i ≠ rowClause T label F q x i := by
48
+ simp [hi, hf]
49
+ rcases rowClause_flip_change T label F q x i j c a hchange with
50
+ ⟨hji, ht⟩ | ⟨hij, rfl, hg⟩
51
+ · subst j
52
+ have hton := ((rowClause_eq_true_iff T label F q _ i).mp hf).1 c
53
+ rw [recursiveChild_flip_same] at hton
54
+ have htoff : F (Fin.last h) (recursiveChild x i c) = false := by
55
+ cases hc : F (Fin.last h) (recursiveChild x i c)
56
+ · rfl
57
+ · exact False.elim (ht (hton.trans hc.symm))
58
+ have htargets : targetFailures F x i = {c} := by
59
+ ext c'
60
+ simp only [targetFailures, Finset.mem_filter, Finset.mem_univ, true_and, Finset.mem_singleton]
61
+ constructor
62
+ · intro hfalse
63
+ exact congrArg Prod.snd (repaired_target_location T label F q x i i c c' a hf hfalse)
64
+ · rintro rfl
65
+ exact htoff
66
+ have hgates : gateFailures T label F q x i = ∅ := by
67
+ apply Finset.eq_empty_iff_forall_notMem.mpr
68
+ intro j' hj'
69
+ have h := (Finset.mem_filter.mp hj').2
70
+ have heq := repaired_gate_location T label F q x i i j' c a hf h.1 h.2
71
+ exact T.ne_of_adj h.1 (congrArg Prod.fst heq).symm
72
+ have hmem : i ∈ targetCandidates T label F q x := by
73
+ simp [targetCandidates, htargets, hgates]
74
+ exact Or.inl ⟨hmem, rfl, htoff, hton⟩
75
+ · have hgoff := ((rowClause_eq_true_iff T label F q _ i).mp hf).2 j hij
76
+ rw [recursiveChild_flip_same] at hgoff
77
+ have hgon : F (gateIndex q) (recursiveChild x j (label i j)) = true := by
78
+ cases hc : F (gateIndex q) (recursiveChild x j (label i j))
79
+ · exact False.elim (hg (hgoff.trans hc.symm))
80
+ · rfl
81
+ have htargets : targetFailures F x i = ∅ := by
82
+ apply Finset.eq_empty_iff_forall_notMem.mpr
83
+ intro c' hc'
84
+ have heq := repaired_target_location T label F q x i j (label i j) c' a hf
85
+ (Finset.mem_filter.mp hc').2
86
+ exact T.ne_of_adj hij (congrArg Prod.fst heq)
87
+ have hgates : gateFailures T label F q x i = {j} := by
88
+ ext j'
89
+ simp only [gateFailures, Finset.mem_filter, Finset.mem_univ, true_and, Finset.mem_singleton]
90
+ constructor
91
+ · rintro ⟨hij', hon⟩
92
+ exact congrArg Prod.fst (repaired_gate_location T label F q x i j j' (label i j) a hf hij' hon)
93
+ · rintro rfl
94
+ exact ⟨hij, hgon⟩
95
+ have hmem : i ∈ gateCandidates T label F q x := by
96
+ simp [gateCandidates, htargets, hgates]
97
+ exact Or.inr ⟨hmem, hij, rfl, hgon, hgoff⟩
98
+
99
+ end Paper320
100
+
101
+ end
102
+
103
+ end OAI
lean/OAI/Combinatorics/Sensitivity/RecursiveSets.lean ADDED
@@ -0,0 +1,89 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ import OAI.Combinatorics.Sensitivity.RecursiveFlips
2
+
3
+ namespace OAI
4
+
5
+ /-! Finite sets of changing raw coordinates inside an individual child. -/
6
+
7
+ noncomputable section
8
+ open scoped Classical
9
+
10
+ namespace Paper320
11
+
12
+ def childLift {J I : Type} (j : J) (A : Finset I) : Finset (J × I) :=
13
+ A.map ⟨fun a => (j, a), fun _ _ h => congrArg (fun p : J × I => p.2) h⟩
14
+
15
+ @[simp] theorem mem_childLift {J I : Type} (j : J) (A : Finset I) (p : J × I) :
16
+ p ∈ childLift j A ↔ p.1 = j ∧ p.2 ∈ A := by
17
+ rcases p with ⟨k, a⟩
18
+ unfold childLift
19
+ rw [Finset.mem_map]
20
+ constructor
21
+ · rintro ⟨b, hb, hp⟩
22
+ change (j, b) = (k, a) at hp
23
+ cases hp
24
+ exact ⟨rfl, hb⟩
25
+ · rintro ⟨rfl, ha⟩
26
+ exact ⟨a, ha, rfl⟩
27
+
28
+ @[simp] theorem childLift_card {J I : Type} (j : J) (A : Finset I) :
29
+ (childLift j A).card = A.card := Finset.card_map _
30
+
31
+ def childChanges {k r h : ℕ} {I : Type} [Fintype I]
32
+ (F : Fin h → (I → Bool) → Bool) (q : Fin h)
33
+ (x : ((Fin k × Fin r) × I) → Bool) (j : Fin k) (c : Fin r) :
34
+ Finset ((Fin k × Fin r) × I) :=
35
+ childLift (j, c) (Finset.univ.filter fun a =>
36
+ F q (flip (recursiveChild x j c) {a}) ≠ F q (recursiveChild x j c))
37
+
38
+ def childJointChanges {k r h : ℕ} {I : Type} [Fintype I]
39
+ (F : Fin h → (I → Bool) → Bool) (q q' : Fin h)
40
+ (x : ((Fin k × Fin r) × I) → Bool) (j : Fin k) (c : Fin r) :
41
+ Finset ((Fin k × Fin r) × I) :=
42
+ childLift (j, c) (Finset.univ.filter fun a =>
43
+ F q (flip (recursiveChild x j c) {a}) ≠ F q (recursiveChild x j c) ∧
44
+ F q' (flip (recursiveChild x j c) {a}) ≠ F q' (recursiveChild x j c))
45
+
46
+ @[simp] theorem childChanges_card {k r h : ℕ} {I : Type} [Fintype I]
47
+ (F : Fin h → (I → Bool) → Bool) (q : Fin h)
48
+ (x : ((Fin k × Fin r) × I) → Bool) (j : Fin k) (c : Fin r) :
49
+ (childChanges F q x j c).card = sensitivityAt (F q) (recursiveChild x j c) := by
50
+ simp [childChanges, sensitivityAt]
51
+
52
+ @[simp] theorem childJointChanges_card {k r h : ℕ} {I : Type} [Fintype I]
53
+ (F : Fin h → (I → Bool) → Bool) (q q' : Fin h)
54
+ (x : ((Fin k × Fin r) × I) → Bool) (j : Fin k) (c : Fin r) :
55
+ (childJointChanges F q q' x j c).card =
56
+ jointSensitivityAt (F q) (F q') (recursiveChild x j c) := by
57
+ simp [childJointChanges, jointSensitivityAt]
58
+
59
+ theorem card_biUnion_le_mul {J I : Type} [DecidableEq I] (A : Finset J) (B : J → Finset I) (n : ℕ)
60
+ (hn : ∀ j ∈ A, (B j).card ≤ n) : (A.biUnion B).card ≤ A.card * n := by
61
+ calc
62
+ (A.biUnion B).card ≤ ∑ j ∈ A, (B j).card := Finset.card_biUnion_le
63
+ _ ≤ ∑ _j ∈ A, n := Finset.sum_le_sum hn
64
+ _ = A.card * n := by simp
65
+
66
+ theorem rowClause_joint_flip_change {k r h : ℕ} {I : Type} (T : Tournament k)
67
+ (label : Fin k → Fin k → Fin r) (F : Fin (h + 1) → (I → Bool) → Bool)
68
+ (q q' : Fin h) (x : ((Fin k × Fin r) × I) → Bool)
69
+ (i j : Fin k) (c : Fin r) (a : I)
70
+ (hc : rowClause T label F q (flip x {((j, c), a)}) i ≠ rowClause T label F q x i)
71
+ (hc' : rowClause T label F q' (flip x {((j, c), a)}) i ≠ rowClause T label F q' x i) :
72
+ (j = i ∧ F (Fin.last h) (flip (recursiveChild x j c) {a}) ≠
73
+ F (Fin.last h) (recursiveChild x j c)) ∨
74
+ (T.Adj i j ∧ c = label i j ∧
75
+ F (gateIndex q) (flip (recursiveChild x j c) {a}) ≠
76
+ F (gateIndex q) (recursiveChild x j c) ∧
77
+ F (gateIndex q') (flip (recursiveChild x j c) {a}) ≠
78
+ F (gateIndex q') (recursiveChild x j c)) := by
79
+ rcases rowClause_flip_change T label F q x i j c a hc with ht | ⟨hij, hcl, hq⟩
80
+ · exact Or.inl ht
81
+ · rcases rowClause_flip_change T label F q' x i j c a hc' with ht | hg
82
+ · exact False.elim ((T.ne_of_adj hij) ht.1.symm)
83
+ · exact Or.inr ⟨hij, hcl, hq, hg.2.2⟩
84
+
85
+ end Paper320
86
+
87
+ end
88
+
89
+ end OAI
lean/OAI/Combinatorics/Sensitivity/RecursiveZero.lean ADDED
@@ -0,0 +1,121 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ import OAI.Combinatorics.Sensitivity.RecursiveCandidates
2
+
3
+ namespace OAI
4
+
5
+ /-! The zero-side recurrence separates the unique possible gate-list sink. -/
6
+
7
+ noncomputable section
8
+ open scoped Classical
9
+
10
+ namespace Paper320
11
+
12
+ theorem recursive_sensitivity_zero_at {k r h : ℕ} {I : Type} [Fintype I]
13
+ (T : Tournament k) (A : GoodLabeling T r)
14
+ (F : Fin (h + 1) → (I → Bool) → Bool) (hF : NestedFamily F) (hr : 0 < r)
15
+ (q : Fin h) (x : ((Fin k × Fin r) × I) → Bool)
16
+ (hx : recursiveFamily T A.label F q x = false) :
17
+ sensitivityAt (recursiveFamily T A.label F q) x ≤
18
+ 16 * sideSensitivity F false + sideSensitivity F true + 3 * jointSensitivity F true := by
19
+ let TC := targetCandidates T A.label F q x
20
+ let GC := gateCandidates T A.label F q x
21
+ let SC := gateSinks T A.label F q x
22
+ let NC := GC \ SC
23
+ let w := gateWitness T A.label F q x
24
+ let U := TC.biUnion fun i => childChanges F (Fin.last h) x i (targetWitness F x hr i)
25
+ let V := NC.biUnion fun i => childJointChanges F (gateIndex q) (Fin.last h) x (w i) (A.label i (w i))
26
+ let W := SC.biUnion fun i => childChanges F (gateIndex q) x (w i) (A.label i (w i))
27
+ have hsub : (Finset.univ.filter fun p =>
28
+ recursiveFamily T A.label F q (flip x {p}) ≠ recursiveFamily T A.label F q x) ⊆ U ∪ (V ∪ W) := by
29
+ rintro ⟨⟨j, c⟩, a⟩ hp
30
+ have hchange := (Finset.mem_filter.mp hp).2
31
+ have hon : recursiveFamily T A.label F q (flip x {((j, c), a)}) = true := by
32
+ cases hy : recursiveFamily T A.label F q (flip x {((j, c), a)})
33
+ · exact False.elim (hchange (hy.trans hx.symm))
34
+ · rfl
35
+ obtain ⟨i, hi⟩ := (recursiveFamily_eq_true_iff T A.label F q _).mp hon
36
+ have hioff := (recursiveFamily_eq_false_iff T A.label F q x).mp hx i
37
+ rcases rowClause_repair_cases T A.label F q x i j c a hioff hi with
38
+ ⟨hit, hji, htoff, hton⟩ | ⟨hig, hij, rfl, hgon, hgoff⟩
39
+ · subst j
40
+ have hc := targetWitness_unique T A.label F q x hr i hit c htoff
41
+ apply Finset.mem_union_left
42
+ apply Finset.mem_biUnion.mpr
43
+ refine ⟨i, hit, ?_⟩
44
+ have hn : F (Fin.last h) (flip (recursiveChild x i c) {a}) ≠
45
+ F (Fin.last h) (recursiveChild x i c) := by simp [hton, htoff]
46
+ simpa [childChanges, hc] using hn
47
+ · have hj := gateWitness_unique T A.label F q x i hig j hij hgon
48
+ apply Finset.mem_union_right
49
+ by_cases hs : i ∈ SC
50
+ · apply Finset.mem_union_right
51
+ apply Finset.mem_biUnion.mpr
52
+ refine ⟨i, hs, ?_⟩
53
+ have hn : F (gateIndex q) (flip (recursiveChild x j (A.label i j)) {a}) ≠
54
+ F (gateIndex q) (recursiveChild x j (A.label i j)) := by simp [hgon, hgoff]
55
+ simpa [childChanges, w, hj] using hn
56
+ · have hwg := nonsink_gateWitness_mem T A.label F hF q x i hig hs
57
+ have hjg : j ∈ gateCandidates T A.label F q x := by simpa [hj] using hwg
58
+ have hton := (targetFailures_empty_iff F x j).mp (Finset.mem_filter.mp hjg).2.1 (A.label i j)
59
+ have htoff := hF.rejects_of_le (gateIndex_lt_last q).le hgoff
60
+ apply Finset.mem_union_left
61
+ apply Finset.mem_biUnion.mpr
62
+ refine ⟨i, Finset.mem_sdiff.mpr ⟨hig, hs⟩, ?_⟩
63
+ have hn :
64
+ F (gateIndex q) (flip (recursiveChild x j (A.label i j)) {a}) ≠
65
+ F (gateIndex q) (recursiveChild x j (A.label i j)) ∧
66
+ F (Fin.last h) (flip (recursiveChild x j (A.label i j)) {a}) ≠
67
+ F (Fin.last h) (recursiveChild x j (A.label i j)) := by
68
+ simp [hgon, hgoff, hton, htoff]
69
+ simpa [childJointChanges, w, hj] using hn
70
+ have hU : U.card ≤ 16 * sideSensitivity F false := by
71
+ calc
72
+ U.card ≤ TC.card * sideSensitivity F false :=
73
+ card_biUnion_le_mul TC _ _ (fun i hi => by
74
+ rw [childChanges_card]
75
+ exact sensitivityAt_le_sideSensitivity F false _ _
76
+ (targetWitness_false T A.label F q x hr i hi))
77
+ _ ≤ 16 * sideSensitivity F false := Nat.mul_le_mul_right _
78
+ (Nat.le_of_lt (targetCandidates_card T A F hF q x hr))
79
+ have hV : V.card ≤ 3 * jointSensitivity F true := by
80
+ calc
81
+ V.card ≤ NC.card * jointSensitivity F true :=
82
+ card_biUnion_le_mul NC _ _ (fun i hi => by
83
+ have hg := Finset.mem_sdiff.mp hi
84
+ have hw := nonsink_gateWitness_mem T A.label F hF q x i hg.1 hg.2
85
+ have hgate := (gateWitness_spec T A.label F q x i hg.1).2
86
+ have htarget := (targetFailures_empty_iff F x _).mp (Finset.mem_filter.mp hw).2.1
87
+ (A.label i (w i))
88
+ rw [childJointChanges_card]
89
+ exact jointSensitivityAt_le_jointSensitivity F true _ _ _ (gateIndex_lt_last q) hgate htarget)
90
+ _ ≤ GC.card * jointSensitivity F true := Nat.mul_le_mul_right _ (Finset.card_le_card Finset.sdiff_subset)
91
+ _ ≤ 3 * jointSensitivity F true := Nat.mul_le_mul_right _ (gateCandidates_card T A.label F hF q x)
92
+ have hW : W.card ≤ sideSensitivity F true := by
93
+ calc
94
+ W.card ≤ SC.card * sideSensitivity F true :=
95
+ card_biUnion_le_mul SC _ _ (fun i hi => by
96
+ rw [childChanges_card]
97
+ exact sensitivityAt_le_sideSensitivity F true _ _
98
+ (gateWitness_spec T A.label F q x i (Finset.mem_filter.mp hi).1).2)
99
+ _ ≤ 1 * sideSensitivity F true := Nat.mul_le_mul_right _ (gateSinks_card T A.label F q x)
100
+ _ = _ := Nat.one_mul _
101
+ calc
102
+ sensitivityAt (recursiveFamily T A.label F q) x ≤ (U ∪ (V ∪ W)).card := Finset.card_le_card hsub
103
+ _ ≤ U.card + (V ∪ W).card := Finset.card_union_le _ _
104
+ _ ≤ U.card + (V.card + W.card) := Nat.add_le_add_left (Finset.card_union_le _ _) _
105
+ _ ≤ 16 * sideSensitivity F false + (3 * jointSensitivity F true + sideSensitivity F true) :=
106
+ Nat.add_le_add hU (Nat.add_le_add hV hW)
107
+ _ = _ := by omega
108
+
109
+ theorem recursive_side_zero {k r h : ℕ} {I : Type} [Fintype I]
110
+ (T : Tournament k) (A : GoodLabeling T r)
111
+ (F : Fin (h + 1) → (I → Bool) → Bool) (hF : NestedFamily F) (hr : 0 < r) :
112
+ sideSensitivity (recursiveFamily T A.label F) false ≤
113
+ 16 * sideSensitivity F false + sideSensitivity F true + 3 * jointSensitivity F true := by
114
+ apply sideSensitivity_le
115
+ exact fun q x hx => recursive_sensitivity_zero_at T A F hF hr q x hx
116
+
117
+ end Paper320
118
+
119
+ end
120
+
121
+ end OAI
lean/OAI/Combinatorics/Sensitivity/Reindex.lean ADDED
@@ -0,0 +1,106 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ import OAI.Combinatorics.Sensitivity.Basic
2
+
3
+ namespace OAI
4
+
5
+ /-! Coordinate equivalences preserve the two literal Boolean complexity measures. -/
6
+
7
+ noncomputable section
8
+ open scoped Classical
9
+
10
+ namespace Paper320
11
+
12
+ variable {I J : Type}
13
+
14
+ def reindex (e : I ≃ J) (f : (I → Bool) → Bool) : (J → Bool) → Bool :=
15
+ fun x => f (fun i => x (e i))
16
+
17
+ theorem flip_reindex (e : I ≃ J) (x : J → Bool) (B : Finset I) :
18
+ (fun i => flip x (B.map e.toEmbedding) (e i)) =
19
+ flip (fun i => x (e i)) B := by
20
+ funext i
21
+ simp [flip]
22
+
23
+ theorem flip_reindex_singleton (e : I ≃ J) (x : J → Bool) (i : I) :
24
+ (fun a => flip x {e i} (e a)) = flip (fun a => x (e a)) {i} := by
25
+ simpa using flip_reindex e x {i}
26
+
27
+ @[simp] theorem reindex_symm (e : I ≃ J) (f : (I → Bool) → Bool) :
28
+ reindex e.symm (reindex e f) = f := by
29
+ funext x
30
+ simp [reindex]
31
+
32
+ section Finite
33
+ variable [Fintype I] [Fintype J]
34
+
35
+ theorem sensitivityAt_reindex (e : I ≃ J) (f : (I → Bool) → Bool) (x : J → Bool) :
36
+ sensitivityAt (reindex e f) x = sensitivityAt f (fun i => x (e i)) := by
37
+ have hs : (Finset.univ.filter fun j =>
38
+ reindex e f (flip x {j}) ≠ reindex e f x).map e.symm.toEmbedding =
39
+ Finset.univ.filter (fun i =>
40
+ f (flip (fun a => x (e a)) {i}) ≠ f (fun a => x (e a))) := by
41
+ ext i
42
+ simp only [Finset.mem_map_equiv, Equiv.symm_symm, Finset.mem_filter,
43
+ Finset.mem_univ, true_and]
44
+ change f (fun a => flip x {e i} (e a)) ≠ f (fun a => x (e a)) ↔ _
45
+ rw [flip_reindex_singleton]
46
+ simpa only [sensitivityAt, Finset.card_map] using congrArg Finset.card hs
47
+
48
+ theorem sensitivity_reindex (e : I ≃ J) (f : (I → Bool) → Bool) :
49
+ sensitivity (reindex e f) = sensitivity f := by
50
+ apply Nat.le_antisymm
51
+ · apply sensitivity_le
52
+ intro x
53
+ rw [sensitivityAt_reindex]
54
+ exact sensitivityAt_le_sensitivity f _
55
+ · apply sensitivity_le
56
+ intro x
57
+ have h := sensitivityAt_le_sensitivity (reindex e f) (fun j => x (e.symm j))
58
+ rw [sensitivityAt_reindex] at h
59
+ simpa only [Equiv.symm_apply_apply] using h
60
+
61
+ theorem blockSensitivityAt_le_reindex (e : I ≃ J) (f : (I → Bool) → Bool)
62
+ (x : J → Bool) :
63
+ blockSensitivityAt f (fun i => x (e i)) ≤ blockSensitivityAt (reindex e f) x := by
64
+ apply blockSensitivityAt_le
65
+ intro blocks hd hb
66
+ have h := le_blockSensitivityAt_of_family (reindex e f) x
67
+ (fun B : blocks => B.val.map e.toEmbedding)
68
+ (fun B => (hb B.val B.property).1.map (f := e.toEmbedding))
69
+ (by
70
+ intro A B hAB
71
+ apply (Finset.disjoint_map e.toEmbedding).mpr
72
+ exact hd A.val A.property B.val B.property (fun h => hAB (Subtype.ext h)))
73
+ (by
74
+ intro B
75
+ change f (fun i => flip x (B.val.map e.toEmbedding) (e i)) ≠ _
76
+ rw [flip_reindex]
77
+ exact (hb B.val B.property).2)
78
+ simpa only [Fintype.card_coe] using h
79
+
80
+ theorem blockSensitivityAt_reindex (e : I ≃ J) (f : (I → Bool) → Bool)
81
+ (x : J → Bool) :
82
+ blockSensitivityAt (reindex e f) x = blockSensitivityAt f (fun i => x (e i)) := by
83
+ apply Nat.le_antisymm
84
+ · have h := blockSensitivityAt_le_reindex e.symm (reindex e f) (fun i => x (e i))
85
+ simpa only [Equiv.apply_symm_apply, reindex_symm] using h
86
+ · exact blockSensitivityAt_le_reindex e f x
87
+
88
+ theorem blockSensitivity_reindex (e : I ≃ J) (f : (I → Bool) → Bool) :
89
+ blockSensitivity (reindex e f) = blockSensitivity f := by
90
+ apply Nat.le_antisymm
91
+ · apply blockSensitivity_le
92
+ intro x
93
+ rw [blockSensitivityAt_reindex]
94
+ exact blockSensitivityAt_le_blockSensitivity f _
95
+ · apply blockSensitivity_le
96
+ intro x
97
+ have h := blockSensitivityAt_le_blockSensitivity (reindex e f) (fun j => x (e.symm j))
98
+ rw [blockSensitivityAt_reindex] at h
99
+ simpa only [Equiv.symm_apply_apply] using h
100
+
101
+ end Finite
102
+ end Paper320
103
+
104
+ end
105
+
106
+ end OAI
lean/OAI/Combinatorics/Sensitivity/ScalarBounds.lean ADDED
@@ -0,0 +1,54 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ import Mathlib
2
+
3
+ namespace OAI
4
+
5
+ /-! Scalar bounds for the two coupled sensitivity profiles. -/
6
+
7
+ namespace Paper320
8
+
9
+ theorem geometric_error_le {d n : ℕ} (hn : n ≤ d) {ε L : ℝ}
10
+ (hε : 0 ≤ ε) (hL : 0 ≤ L) (hbudget : ε * 3 ^ (d + 1) ≤ 2) :
11
+ (3 / 2 : ℝ) * ε * L * (3 ^ n - 1) ≤ L := by
12
+ have hp : (3 : ℝ) ^ (n + 1) ≤ 3 ^ (d + 1) :=
13
+ pow_le_pow_right₀ (by norm_num) (Nat.succ_le_succ hn)
14
+ have hb := (mul_le_mul_of_nonneg_left hp hε).trans hbudget
15
+ have hm := mul_le_mul_of_nonneg_right hb hL
16
+ rw [pow_succ] at hm
17
+ nlinarith [mul_nonneg hε hL]
18
+
19
+ theorem coupled_profiles_bound (d : ℕ) (u v : ℕ → ℝ) (ε L : ℝ)
20
+ (hε : 0 ≤ ε) (hL : 0 ≤ L) (hbudget : ε * 3 ^ (d + 1) ≤ 2)
21
+ (hu0 : u 0 ≤ L) (hv0 : v 0 ≤ 0)
22
+ (hu : ∀ n < d, u (n + 1) ≤ (1 + ε) * u n + 3 * v n)
23
+ (hv : ∀ n < d, v (n + 1) ≤ ε * u n + 3 * v n) :
24
+ ∀ n ≤ d, u n ≤ 2 * L ∧ v n ≤ ε * L * (3 ^ n - 1) := by
25
+ have strong : ∀ n ≤ d,
26
+ u n ≤ L + (3 / 2 : ℝ) * ε * L * (3 ^ n - 1) ∧
27
+ v n ≤ ε * L * (3 ^ n - 1) := by
28
+ intro n
29
+ induction n with
30
+ | zero =>
31
+ intro _
32
+ simpa using And.intro hu0 hv0
33
+ | succ n ih =>
34
+ intro hn
35
+ have hnd : n ≤ d := by omega
36
+ obtain ⟨hun, hvn⟩ := ih hnd
37
+ have he := geometric_error_le hnd hε hL hbudget
38
+ have hun' : u n ≤ 2 * L := by linarith
39
+ have heu := mul_le_mul_of_nonneg_left hun' hε
40
+ have hnu := hu n (by omega)
41
+ have hnv := hv n (by omega)
42
+ constructor
43
+ · rw [pow_succ]
44
+ nlinarith [mul_nonneg hε hL]
45
+ · rw [pow_succ]
46
+ nlinarith
47
+ intro n hn
48
+ obtain ⟨hun, hvn⟩ := strong n hn
49
+ have he := geometric_error_le hn hε hL hbudget
50
+ exact ⟨by linarith, hvn⟩
51
+
52
+ end Paper320
53
+
54
+ end OAI
lean/OAI/Combinatorics/Sensitivity/SeedAmplification.lean ADDED
@@ -0,0 +1,47 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ import OAI.Combinatorics.Sensitivity.ConstructedSeed
2
+ import OAI.Combinatorics.Sensitivity.PowerAmplification
3
+ import OAI.Combinatorics.Sensitivity.SeparationArithmetic
4
+
5
+ namespace OAI
6
+
7
+ /-! The depth-nine seed gives a fixed exponent and explicit ratios. -/
8
+
9
+ noncomputable section
10
+ open scoped Classical
11
+
12
+ namespace Paper320
13
+
14
+ theorem constructed_power_family :
15
+ ∃ α : ℝ, 2 < α ∧
16
+ ∃ (n : ℕ → ℕ) (F : ∀ m : ℕ, (Fin (n m) → Bool) → Bool),
17
+ (∀ m : ℕ,
18
+ 0 < n m ∧ F m (fun _ => false) = false ∧
19
+ (∃ x y, F m x ≠ F m y) ∧
20
+ (sensitivity (F m) : ℝ) ^ α ≤ (blockSensitivityAt (F m) (fun _ => false) : ℝ) ∧
21
+ ((128 : ℝ) / 121) ^ m ≤
22
+ (blockSensitivity (F m) : ℝ) / (sensitivity (F m) : ℝ) ^ 2) ∧
23
+ Filter.Tendsto
24
+ (fun m : ℕ => (blockSensitivityAt (F m) (fun _ => false) : ℝ))
25
+ Filter.atTop Filter.atTop := by
26
+ let M : ℕ := 9 ^ 10
27
+ have hM : 0 < M := by dsimp [M]; positivity
28
+ obtain ⟨f, _, hf, _, hs, hb⟩ := exists_constructed_seed 9 M (by norm_num) (by rfl)
29
+ change sensitivity f ≤ 22 * M ^ 10 at hs
30
+ obtain ⟨hA, hB⟩ := depth_nine_seed_gap M hM
31
+ obtain ⟨hα, hall, hlim⟩ := power_amplification f hf (22 * M ^ 10)
32
+ (M ^ 2 * (2 * M ^ 2 + 1) ^ 9) hs hb hA hB
33
+ refine ⟨_, hα, _, (fun m => iterateFin f m), ?_, hlim⟩
34
+ intro m
35
+ obtain ⟨hn, hzero, hnc, hpow, hratio⟩ := hall m
36
+ refine ⟨hn, hzero, hnc, hpow, ?_⟩
37
+ apply le_trans _ hratio
38
+ apply pow_le_pow_left₀ (by norm_num)
39
+ have hMr : (0 : ℝ) < M := by exact_mod_cast hM
40
+ simpa only [Nat.cast_mul, Nat.cast_pow, Nat.cast_add, Nat.cast_ofNat, Nat.cast_one]
41
+ using depth_nine_seed_ratio hMr
42
+
43
+ end Paper320
44
+
45
+ end
46
+
47
+ end OAI
lean/OAI/Combinatorics/Sensitivity/Separation.lean ADDED
@@ -0,0 +1,57 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ import OAI.Combinatorics.Sensitivity.SeedAmplification
2
+
3
+ namespace OAI
4
+
5
+ /-! Quantitative, unbounded quadratic, and fixed-power separations of sensitivity. -/
6
+
7
+ noncomputable section
8
+ open scoped Classical
9
+
10
+ namespace Paper320
11
+
12
+ theorem quantitative_separation (d : ℕ) (hd : 1 ≤ d) :
13
+ ∃ (n : ℕ) (f : (Fin n → Bool) → Bool),
14
+ 0 < n ∧ f (fun _ => false) = false ∧
15
+ (∃ x y : Fin n → Bool, f x ≠ f y) ∧
16
+ (2 : ℝ) ^ d / (4 * ((d : ℝ) + 2) ^ 2) ≤
17
+ (blockSensitivity f : ℝ) / (sensitivity f : ℝ) ^ 2 := by
18
+ let M : ℕ := 9 ^ (d + 1)
19
+ have hM : 0 < M := by dsimp [M]; positivity
20
+ obtain ⟨f, hn, hf, hnc, hs, hb⟩ := exists_constructed_seed d M hd (by rfl)
21
+ exact ⟨_, f, hn, hf, hnc, quantitative_ratio_of_bounds f d M hM hnc hs hb⟩
22
+
23
+ theorem unbounded_quadratic_separation (C : ℝ) (hC : 0 < C) :
24
+ ∃ (n : ℕ) (f : (Fin n → Bool) → Bool),
25
+ 0 < n ∧ f (fun _ => false) = false ∧
26
+ (∃ x y : Fin n → Bool, f x ≠ f y) ∧
27
+ C * (sensitivity f : ℝ) ^ 2 < (blockSensitivity f : ℝ) := by
28
+ obtain ⟨d, hd, hlarge⟩ := ((Filter.eventually_ge_atTop (1 : ℕ)).and
29
+ (quantitative_ratio_tendsto.eventually_gt_atTop (max C 0))).exists
30
+ rw [max_eq_left hC.le] at hlarge
31
+ obtain ⟨n, f, hn, hf, hnc, hratio⟩ := quantitative_separation d hd
32
+ have hs : (0 : ℝ) < sensitivity f := by
33
+ exact_mod_cast sensitivity_pos_of_nonconstant f hnc
34
+ exact ⟨n, f, hn, hf, hnc, (lt_div_iff₀ (pow_pos hs 2)).mp (hlarge.trans_le hratio)⟩
35
+
36
+ theorem fixed_power_separation :
37
+ ∃ α : ℝ, 2 < α ∧
38
+ ∃ (n : ℕ → ℕ) (F : ∀ m : ℕ, (Fin (n m) → Bool) → Bool),
39
+ (∀ m : ℕ, 1 ≤ m →
40
+ 0 < n m ∧ F m (fun _ => false) = false ∧
41
+ (∃ x y : Fin (n m) → Bool, F m x ≠ F m y) ∧
42
+ (sensitivity (F m) : ℝ) ^ α ≤
43
+ (blockSensitivityAt (F m) (fun _ => false) : ℝ)) ∧
44
+ Filter.Tendsto
45
+ (fun m : ℕ => (blockSensitivityAt (F m) (fun _ => false) : ℝ))
46
+ Filter.atTop Filter.atTop := by
47
+ obtain ⟨α, hα, n, F, hall, hlim⟩ := constructed_power_family
48
+ refine ⟨α, hα, n, F, ?_, hlim⟩
49
+ intro m _
50
+ obtain ⟨hn, hf, hnc, hpow, _⟩ := hall m
51
+ exact ⟨hn, hf, hnc, hpow⟩
52
+
53
+ end Paper320
54
+
55
+ end
56
+
57
+ end OAI
lean/OAI/Combinatorics/Sensitivity/SeparationArithmetic.lean ADDED
@@ -0,0 +1,116 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ import OAI.Combinatorics.Sensitivity.Basic
2
+
3
+ namespace OAI
4
+
5
+ /-! The exact final ratio, the depth-nine seed gap, and exponential divergence. -/
6
+
7
+ noncomputable section
8
+ open Filter
9
+ open scoped Topology
10
+
11
+ namespace Paper320
12
+
13
+ theorem seed_ratio_identity (d : ℕ) {L M k : ℝ} (hL : L ≠ 0) (hM : M ≠ 0) :
14
+ (M ^ 2 * k ^ d) / (2 * L * M ^ (d + 1)) ^ 2 =
15
+ (k / M ^ 2) ^ d / (4 * L ^ 2) := by
16
+ have hp : (M ^ 2) ^ d = (M ^ d) ^ 2 := by
17
+ rw [← pow_mul, ← pow_mul, Nat.mul_comm 2 d]
18
+ rw [div_pow, hp, pow_succ]
19
+ field_simp
20
+ ring
21
+
22
+ theorem seed_ratio_lower (d : ℕ) {M : ℝ} (hM : 0 < M) :
23
+ (2 : ℝ) ^ d / (4 * ((d : ℝ) + 2) ^ 2) ≤
24
+ (M ^ 2 * (2 * M ^ 2 + 1) ^ d) /
25
+ (2 * ((d : ℝ) + 2) * M ^ (d + 1)) ^ 2 := by
26
+ rw [seed_ratio_identity d (by positivity) (ne_of_gt hM)]
27
+ have hk : 2 ≤ (2 * M ^ 2 + 1) / M ^ 2 := by
28
+ apply (le_div_iff₀ (pow_pos hM 2)).mpr
29
+ linarith
30
+ exact div_le_div_of_nonneg_right (pow_le_pow_left₀ (by norm_num) hk d) (by positivity)
31
+
32
+ theorem ratio_of_bounds {I : Type} [Fintype I] (f : (I → Bool) → Bool)
33
+ (s b : ℝ) (hpos : 0 < (sensitivity f : ℝ))
34
+ (hs : (sensitivity f : ℝ) ≤ s) (hb : b ≤ (blockSensitivityAt f (fun _ => false) : ℝ))
35
+ (hb0 : 0 ≤ b) :
36
+ b / s ^ 2 ≤ (blockSensitivity f : ℝ) / (sensitivity f : ℝ) ^ 2 := by
37
+ have hsp : 0 < s := lt_of_lt_of_le hpos hs
38
+ apply (le_div_iff₀ (pow_pos hpos 2)).mpr
39
+ calc
40
+ _ ≤ (b / s ^ 2) * s ^ 2 :=
41
+ mul_le_mul_of_nonneg_left (pow_le_pow_left₀ hpos.le hs 2) (div_nonneg hb0 (sq_nonneg s))
42
+ _ = b := div_mul_cancel₀ _ (ne_of_gt (pow_pos hsp 2))
43
+ _ ≤ (blockSensitivityAt f (fun _ => false) : ℝ) := hb
44
+ _ ≤ (blockSensitivity f : ℝ) := by
45
+ exact_mod_cast blockSensitivityAt_le_blockSensitivity f (fun _ => false)
46
+
47
+ theorem quantitative_ratio_of_bounds {I : Type} [Fintype I]
48
+ (f : (I → Bool) → Bool) (d M : ℕ) (hM : 0 < M)
49
+ (hnc : ∃ x y, f x ≠ f y)
50
+ (hs : sensitivity f ≤ 2 * (d + 2) * M ^ (d + 1))
51
+ (hb : M ^ 2 * (2 * M ^ 2 + 1) ^ d ≤ blockSensitivityAt f (fun _ => false)) :
52
+ (2 : ℝ) ^ d / (4 * ((d : ℝ) + 2) ^ 2) ≤
53
+ (blockSensitivity f : ℝ) / (sensitivity f : ℝ) ^ 2 := by
54
+ have hMr : 0 < (M : ℝ) := by exact_mod_cast hM
55
+ apply (seed_ratio_lower d hMr).trans
56
+ apply ratio_of_bounds
57
+ · exact_mod_cast sensitivity_pos_of_nonconstant f hnc
58
+ · exact_mod_cast hs
59
+ · exact_mod_cast hb
60
+ · positivity
61
+
62
+ theorem depth_nine_ratio :
63
+ (2 : ℝ) ^ 9 / (4 * ((9 : ℝ) + 2) ^ 2) = 128 / 121 := by norm_num
64
+
65
+ theorem depth_nine_ratio_gt_one : (1 : ℝ) < 128 / 121 := by norm_num
66
+
67
+ theorem depth_nine_seed_ratio {M : ℝ} (hM : 0 < M) :
68
+ (128 : ℝ) / 121 ≤ M ^ 2 * (2 * M ^ 2 + 1) ^ 9 / (22 * M ^ 10) ^ 2 := by
69
+ have h := seed_ratio_lower 9 hM
70
+ norm_num at h ⊢
71
+ exact h
72
+
73
+ theorem depth_nine_seed_gap (M : ℕ) (hM : 0 < M) :
74
+ 1 < 22 * M ^ 10 ∧ (22 * M ^ 10) ^ 2 < M ^ 2 * (2 * M ^ 2 + 1) ^ 9 := by
75
+ constructor
76
+ · have hp := pow_pos hM 10
77
+ omega
78
+ · have hp := pow_pos hM 20
79
+ have hmono : M ^ 2 * (2 * M ^ 2) ^ 9 ≤ M ^ 2 * (2 * M ^ 2 + 1) ^ 9 := by
80
+ gcongr
81
+ omega
82
+ calc
83
+ _ = 484 * M ^ 20 := by ring
84
+ _ < 512 * M ^ 20 := by omega
85
+ _ = M ^ 2 * (2 * M ^ 2) ^ 9 := by ring
86
+ _ ≤ _ := hmono
87
+
88
+ theorem quantitative_ratio_tendsto :
89
+ Tendsto (fun d : ℕ => (2 : ℝ) ^ d / (4 * ((d : ℝ) + 2) ^ 2)) atTop atTop := by
90
+ have hb := (tendsto_pow_const_div_const_pow_of_one_lt 2 (by norm_num : (1 : ℝ) < 2)).comp
91
+ (tendsto_add_atTop_nat 2)
92
+ have hz : Tendsto (fun d : ℕ => 4 * ((d : ℝ) + 2) ^ 2 / (2 : ℝ) ^ d)
93
+ atTop (𝓝 0) := by
94
+ have h := hb.const_mul (16 : ℝ)
95
+ convert h using 1
96
+ · funext d
97
+ simp only [Function.comp_apply]
98
+ push_cast
99
+ rw [pow_add]
100
+ norm_num
101
+ ring
102
+ · simp
103
+ have hr : Tendsto (fun d : ℕ => 4 * ((d : ℝ) + 2) ^ 2 / (2 : ℝ) ^ d)
104
+ atTop (𝓝[>] (0 : ℝ)) := by
105
+ apply tendsto_nhdsWithin_iff.mpr
106
+ refine ⟨hz, Filter.Eventually.of_forall ?_⟩
107
+ intro d
108
+ change 0 < 4 * ((d : ℝ) + 2) ^ 2 / (2 : ℝ) ^ d
109
+ positivity
110
+ simpa only [Function.comp_def, inv_div] using tendsto_inv_nhdsGT_zero.comp hr
111
+
112
+ end Paper320
113
+
114
+ end
115
+
116
+ end OAI
lean/OAI/Combinatorics/Sensitivity/Tournament.lean ADDED
@@ -0,0 +1,68 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ import Mathlib.Combinatorics.Digraph.Basic
2
+ import Mathlib.Data.Finset.Card
3
+ import Mathlib.Data.Finset.Prod
4
+ import Mathlib.Data.Finset.Powerset
5
+ import Mathlib.Data.Fintype.BigOperators
6
+
7
+ namespace OAI
8
+
9
+ /-! Finite tournaments and the target-constant labeling condition. -/
10
+
11
+ noncomputable section
12
+ open scoped Classical
13
+
14
+ namespace Paper320
15
+
16
+ structure Tournament (k : ℕ) extends Digraph (Fin k) where
17
+ loopless : ∀ i, ¬ Adj i i
18
+ edge_compl : ∀ {i j}, i ≠ j → (Adj i j ↔ ¬ Adj j i)
19
+
20
+ structure RegularTournament (M : ℕ) extends Tournament (2 * M^2 + 1) where
21
+ outdegree : ∀ i, (Finset.univ.filter (Adj i)).card = M^2
22
+
23
+ structure GoodLabeling {k : ℕ} (T : Tournament k) (r : ℕ) where
24
+ label : Fin k → Fin k → Fin r
25
+ good : ∀ I : Finset (Fin k), I.card = 16 → ∀ m : Fin k → Fin r,
26
+ ∃ i ∈ I, ∃ j ∈ I, T.Adj i j ∧ label i j ≠ m j
27
+
28
+ namespace Tournament
29
+ variable {k : ℕ} (T : Tournament k)
30
+
31
+ theorem ne_of_adj {i j : Fin k} (h : T.Adj i j) : i ≠ j := by
32
+ rintro rfl
33
+ exact T.loopless i h
34
+
35
+ theorem not_adj_reverse {i j : Fin k} (h : T.Adj i j) : ¬ T.Adj j i :=
36
+ (T.edge_compl (T.ne_of_adj h)).mp h
37
+
38
+ theorem adj_or_reverse {i j : Fin k} (h : i ≠ j) : T.Adj i j ∨ T.Adj j i := by
39
+ by_cases hh : T.Adj j i
40
+ · exact Or.inr hh
41
+ · exact Or.inl ((T.edge_compl h).mpr hh)
42
+
43
+ theorem internal_sink_unique {I : Finset (Fin k)} {i j : Fin k}
44
+ (hi : i ∈ I) (hj : j ∈ I)
45
+ (hsi : ∀ v ∈ I, ¬ T.Adj i v) (hsj : ∀ v ∈ I, ¬ T.Adj j v) : i = j := by
46
+ by_contra h
47
+ rcases T.adj_or_reverse h with hh | hh
48
+ · exact hsi j hj hh
49
+ · exact hsj i hi hh
50
+
51
+ end Tournament
52
+
53
+ namespace GoodLabeling
54
+ variable {k r : ℕ} {T : Tournament k} (A : GoodLabeling T r)
55
+
56
+ theorem good_implies_card_lt_sixteen (I : Finset (Fin k)) (m : Fin k → Fin r)
57
+ (h : ∀ i ∈ I, ∀ j ∈ I, T.Adj i j → A.label i j = m j) : I.card < 16 := by
58
+ by_contra hn
59
+ obtain ⟨J, hJI, hJ⟩ := Finset.exists_subset_card_eq (show 16 ≤ I.card by omega)
60
+ obtain ⟨i, hi, j, hj, hij, hne⟩ := A.good J hJ m
61
+ exact hne (h i (hJI hi) j (hJI hj) hij)
62
+
63
+ end GoodLabeling
64
+ end Paper320
65
+
66
+ end
67
+
68
+ end OAI
lean/OAI/Combinatorics/Sensitivity/TournamentCounts.lean ADDED
@@ -0,0 +1,69 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ import OAI.Combinatorics.Sensitivity.Tournament
2
+ import Mathlib.Algebra.BigOperators.Group.Finset.Basic
3
+ import Mathlib.Algebra.Order.BigOperators.Group.Finset
4
+ import Mathlib.Tactic.Linarith
5
+
6
+ namespace OAI
7
+
8
+ /-! The exact internal edge count and the small gate-candidate bound. -/
9
+
10
+ noncomputable section
11
+ open scoped Classical BigOperators
12
+
13
+ namespace Paper320.Tournament
14
+ variable {k : ℕ} (T : Tournament k)
15
+
16
+ def internalEdges (I : Finset (Fin k)) : Finset (Fin k × Fin k) :=
17
+ (I ×ˢ I).filter fun p => T.Adj p.1 p.2
18
+
19
+ theorem card_internalEdges (I : Finset (Fin k)) :
20
+ (T.internalEdges I).card = I.card.choose 2 := by
21
+ let U := T.internalEdges I
22
+ let V := (I ×ˢ I).filter fun p => T.Adj p.2 p.1
23
+ have hd : Disjoint U V := by
24
+ apply Finset.disjoint_left.mpr
25
+ intro p hp hq
26
+ exact T.not_adj_reverse (Finset.mem_filter.mp hp).2 (Finset.mem_filter.mp hq).2
27
+ have hu : U.disjUnion V hd = I.offDiag := by
28
+ ext ⟨i,j⟩
29
+ simp only [Finset.mem_disjUnion, U, V, internalEdges, Finset.mem_filter,
30
+ Finset.mem_product, Finset.mem_offDiag]
31
+ constructor
32
+ · rintro (⟨⟨hi,hj⟩,h⟩ | ⟨⟨hi,hj⟩,h⟩)
33
+ · exact ⟨hi,hj,T.ne_of_adj h⟩
34
+ · exact ⟨hi,hj,(T.ne_of_adj h).symm⟩
35
+ · rintro ⟨hi,hj,hne⟩
36
+ exact (T.adj_or_reverse hne).imp (fun h => ⟨⟨hi,hj⟩,h⟩) (fun h => ⟨⟨hi,hj⟩,h⟩)
37
+ have hs : U.card = V.card := Finset.card_equiv (Equiv.prodComm (Fin k) (Fin k)) (by
38
+ intro p
39
+ simp only [U,V,internalEdges,Finset.mem_filter,Finset.mem_product,Equiv.prodComm_apply]
40
+ tauto)
41
+ have hc := congrArg Finset.card hu
42
+ rw [Finset.card_disjUnion, ← hs, Finset.offDiag_card] at hc
43
+ rw [Nat.choose_two_right, Nat.mul_sub_one]
44
+ change U.card = _
45
+ omega
46
+
47
+ theorem sum_outdegree_eq (I : Finset (Fin k)) :
48
+ ∑ i ∈ I, (I.filter (T.Adj i)).card = (T.internalEdges I).card := by
49
+ simp only [internalEdges, Finset.card_eq_sum_ones, Finset.sum_filter, Finset.sum_product]
50
+
51
+ theorem card_le_three_of_outdegree_le_one (I : Finset (Fin k))
52
+ (h : ∀ i ∈ I, (I.filter (T.Adj i)).card ≤ 1) : I.card ≤ 3 := by
53
+ have hsum := Finset.sum_le_sum h
54
+ have hc : I.card.choose 2 ≤ I.card := by
55
+ rw [← T.card_internalEdges, ← T.sum_outdegree_eq]
56
+ simpa only [Finset.sum_const_nat, mul_one] using hsum
57
+ have hdouble : I.card * (I.card - 1) ≤ 2 * I.card + 1 := by
58
+ rw [Nat.choose_two_right] at hc
59
+ omega
60
+ by_contra hn
61
+ have h4 : 4 ≤ I.card := by omega
62
+ have ht : I.card - 1 + 1 = I.card := by omega
63
+ nlinarith
64
+
65
+ end Paper320.Tournament
66
+
67
+ end
68
+
69
+ end OAI
lean/OAI/Combinatorics/Sensitivity/TournamentCyclic.lean ADDED
@@ -0,0 +1,53 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ import OAI.Combinatorics.Sensitivity.Tournament
2
+ import Mathlib.Algebra.Group.Fin.Basic
3
+ import Mathlib.Algebra.Group.Units.Equiv
4
+ import Mathlib.Order.Interval.Finset.Fin
5
+
6
+ namespace OAI
7
+
8
+ /-! The literal regular tournament on an odd cyclic set. -/
9
+
10
+ noncomputable section
11
+ open scoped Classical
12
+
13
+ namespace Paper320
14
+
15
+ def cyclicTournament (a : ℕ) : Tournament (2*a+1) where
16
+ Adj i j := 0 < (j-i).val ∧ (j-i).val ≤ a
17
+ loopless i := by simp
18
+ edge_compl := by
19
+ intro i j hij
20
+ have hδ : j-i ≠ 0 := sub_ne_zero.mpr hij.symm
21
+ have hp : 0 < (j-i).val := Nat.pos_of_ne_zero (Fin.val_ne_zero_iff.mpr hδ)
22
+ have hb := (j-i).isLt
23
+ have hn : (i-j).val = 2*a+1-(j-i).val := by
24
+ rw [← neg_sub j i, Fin.val_neg, ite_eq_right hδ]
25
+ change (0 < (j-i).val ∧ (j-i).val ≤ a) ↔ ¬ (0 < (i-j).val ∧ (i-j).val ≤ a)
26
+ rw [hn]
27
+ omega
28
+
29
+ theorem cyclicTournament_outdegree (a : ℕ) (i : Fin (2*a+1)) :
30
+ (Finset.univ.filter ((cyclicTournament a).Adj i)).card = a := by
31
+ let z : Fin (2*a+1) := 0
32
+ let b : Fin (2*a+1) := ⟨a, by omega⟩
33
+ have he : (Finset.Ioc z b).card =
34
+ (Finset.univ.filter ((cyclicTournament a).Adj i)).card :=
35
+ Finset.card_equiv (Equiv.addLeft i) (by
36
+ intro x
37
+ simp only [Finset.mem_Ioc, Finset.mem_filter, Finset.mem_univ, true_and]
38
+ change (0 < x.val ∧ x.val ≤ a) ↔
39
+ (0 < ((i+x)-i).val ∧ ((i+x)-i).val ≤ a)
40
+ rw [add_sub_cancel_left])
41
+ rw [← he, Fin.card_Ioc]
42
+ change a - 0 = a
43
+ exact Nat.sub_zero a
44
+
45
+ def regularCyclicTournament (M : ℕ) : RegularTournament M where
46
+ toTournament := cyclicTournament (M^2)
47
+ outdegree := cyclicTournament_outdegree (M^2)
48
+
49
+ end Paper320
50
+
51
+ end
52
+
53
+ end OAI
lean/OAI/Combinatorics/Sensitivity/Tower.lean ADDED
@@ -0,0 +1,161 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ import OAI.Combinatorics.Sensitivity.Recursive
2
+
3
+ namespace OAI
4
+
5
+ /-! An indexed tower of the literal recursive construction and its common blocks. -/
6
+
7
+ noncomputable section
8
+ open scoped Classical
9
+
10
+ namespace Paper320
11
+
12
+ def TowerCoordinates (k r : ℕ) (I : Type) : ℕ → Type
13
+ | 0 => I
14
+ | n + 1 => (Fin k × Fin r) × TowerCoordinates k r I n
15
+
16
+ instance towerCoordinatesFintype (k r : ℕ) (I : Type) [Fintype I] :
17
+ (n : ℕ) → Fintype (TowerCoordinates k r I n)
18
+ | 0 => inferInstanceAs (Fintype I)
19
+ | n + 1 => by
20
+ letI := towerCoordinatesFintype k r I n
21
+ exact inferInstanceAs (Fintype ((Fin k × Fin r) × TowerCoordinates k r I n))
22
+
23
+ def TowerBlockIndex (k : ℕ) (K : Type) : ℕ → Type
24
+ | 0 => K
25
+ | n + 1 => Fin k × TowerBlockIndex k K n
26
+
27
+ instance towerBlockIndexFintype (k : ℕ) (K : Type) [Fintype K] :
28
+ (n : ℕ) → Fintype (TowerBlockIndex k K n)
29
+ | 0 => inferInstanceAs (Fintype K)
30
+ | n + 1 => by
31
+ letI := towerBlockIndexFintype k K n
32
+ exact inferInstanceAs (Fintype (Fin k × TowerBlockIndex k K n))
33
+
34
+ def towerFamily {k r : ℕ} {I : Type} (T : Tournament k)
35
+ (label : Fin k → Fin k → Fin r) (base : (h : ℕ) → Fin h → (I → Bool) → Bool) :
36
+ (n h : ℕ) → Fin h → (TowerCoordinates k r I n → Bool) → Bool
37
+ | 0, h => base h
38
+ | n + 1, h => recursiveFamily T label (towerFamily T label base n (h + 1))
39
+
40
+ def towerBlocks {k r : ℕ} {I K : Type} (blocks : K → Finset I) :
41
+ (n : ℕ) → TowerBlockIndex k K n → Finset (TowerCoordinates k r I n)
42
+ | 0, b => blocks b
43
+ | n + 1, b => rowLift b.1 (towerBlocks blocks n b.2)
44
+
45
+ /-- Extend a prescribed initial family to unused index counts without adding assumptions. -/
46
+ def baseExtension {I : Type} (D : ℕ) (F : Fin D → (I → Bool) → Bool)
47
+ (h : ℕ) (q : Fin h) (x : I → Bool) : Bool :=
48
+ if he : h = D then F (Fin.cast he q) x else false
49
+
50
+ @[simp] theorem baseExtension_same {I : Type} (D : ℕ) (F : Fin D → (I → Bool) → Bool) :
51
+ baseExtension D F D = F := by
52
+ funext q x
53
+ simp [baseExtension]
54
+
55
+ theorem tower_coordinates_card {k r : ℕ} {I : Type} [Fintype I] (n : ℕ) :
56
+ Fintype.card (TowerCoordinates k r I n) = (k * r) ^ n * Fintype.card I := by
57
+ induction n with
58
+ | zero =>
59
+ change Fintype.card I = (k * r) ^ 0 * Fintype.card I
60
+ simp
61
+ | succ n ih =>
62
+ change Fintype.card ((Fin k × Fin r) × TowerCoordinates k r I n) = _
63
+ simp only [Fintype.card_prod, Fintype.card_fin, ih, pow_succ]
64
+ ring
65
+
66
+ theorem tower_block_index_card {k : ℕ} {K : Type} [Fintype K] (n : ℕ) :
67
+ Fintype.card (TowerBlockIndex k K n) = k ^ n * Fintype.card K := by
68
+ induction n with
69
+ | zero =>
70
+ change Fintype.card K = k ^ 0 * Fintype.card K
71
+ simp
72
+ | succ n ih =>
73
+ change Fintype.card (Fin k × TowerBlockIndex k K n) = _
74
+ simp only [Fintype.card_prod, Fintype.card_fin, ih, pow_succ]
75
+ ring
76
+
77
+ theorem towerBlocks_card {k r : ℕ} {I K : Type} (blocks : K → Finset I)
78
+ (L : ℕ) (hL : ∀ b, (blocks b).card = L) (n : ℕ) (b : TowerBlockIndex k K n) :
79
+ (towerBlocks (r := r) blocks n b).card = r ^ n * L := by
80
+ induction n with
81
+ | zero =>
82
+ change (blocks b).card = r ^ 0 * L
83
+ simpa only [pow_zero, one_mul] using hL b
84
+ | succ n ih =>
85
+ change (rowLift b.1 (towerBlocks blocks n b.2)).card = _
86
+ rw [rowLift_card, ih]
87
+ ring
88
+
89
+ theorem towerBlocks_nonempty {k r : ℕ} {I K : Type} (blocks : K → Finset I)
90
+ (hr : 0 < r) (hne : ∀ b, (blocks b).Nonempty) (n : ℕ) (b : TowerBlockIndex k K n) :
91
+ (towerBlocks (r := r) blocks n b).Nonempty := by
92
+ induction n with
93
+ | zero => exact hne b
94
+ | succ n ih => exact rowLift_nonempty b.1 _ hr (ih b.2)
95
+
96
+ theorem towerBlocks_pairwise {k r : ℕ} {I K : Type} (blocks : K → Finset I)
97
+ (hd : Pairwise fun a b => Disjoint (blocks a) (blocks b)) (n : ℕ) :
98
+ Pairwise fun a b => Disjoint (towerBlocks (k := k) (r := r) blocks n a) (towerBlocks blocks n b) := by
99
+ induction n with
100
+ | zero => exact hd
101
+ | succ n ih => exact rowLift_family_disjoint (towerBlocks blocks n) ih
102
+
103
+ theorem towerFamily_nested {k r : ℕ} {I : Type} (T : Tournament k)
104
+ (label : Fin k → Fin k → Fin r) (base : (h : ℕ) → Fin h → (I → Bool) → Bool)
105
+ (n h : ℕ) (hbase : NestedFamily (base (h + n))) :
106
+ NestedFamily (towerFamily T label base n h) := by
107
+ induction n generalizing h with
108
+ | zero =>
109
+ change NestedFamily (base h)
110
+ simpa only [Nat.add_zero] using hbase
111
+ | succ n ih =>
112
+ apply recursiveFamily_nested
113
+ apply ih
114
+ have he : (h + 1) + n = h + (n + 1) := by omega
115
+ rw [he]
116
+ exact hbase
117
+
118
+ theorem towerFamily_zero {k r : ℕ} {I : Type} (T : Tournament k)
119
+ (label : Fin k → Fin k → Fin r) (base : (h : ℕ) → Fin h → (I → Bool) → Bool)
120
+ (hr : 0 < r) (n h : ℕ) (hbase : ∀ q, base (h + n) q (fun _ => false) = false) :
121
+ ∀ q, towerFamily T label base n h q (fun _ => false) = false := by
122
+ induction n generalizing h with
123
+ | zero =>
124
+ change ∀ q, base h q (fun _ => false) = false
125
+ simpa only [Nat.add_zero] using hbase
126
+ | succ n ih =>
127
+ apply recursiveFamily_zero T label _ hr
128
+ apply ih
129
+ have he : (h + 1) + n = h + (n + 1) := by omega
130
+ rw [he]
131
+ exact hbase
132
+
133
+ theorem towerFamily_blocks {k r : ℕ} {I K : Type} (T : Tournament k)
134
+ (label : Fin k → Fin k → Fin r) (base : (h : ℕ) → Fin h → (I → Bool) → Bool)
135
+ (blocks : K → Finset I) (hr : 0 < r) (n h : ℕ)
136
+ (hzero : ∀ q, base (h + n) q (fun _ => false) = false)
137
+ (hblocks : ∀ b q, base (h + n) q (flip (fun _ => false) (blocks b)) = true) :
138
+ ∀ b q, towerFamily T label base n h q
139
+ (flip (fun _ => false) (towerBlocks blocks n b)) = true := by
140
+ induction n generalizing h with
141
+ | zero =>
142
+ change ∀ b q, base h q (flip (fun _ => false) (blocks b)) = true
143
+ simpa only [Nat.add_zero] using hblocks
144
+ | succ n ih =>
145
+ intro b q
146
+ have he : (h + 1) + n = h + (n + 1) := by omega
147
+ have hz : ∀ q, base ((h + 1) + n) q (fun _ => false) = false := by
148
+ rw [he]
149
+ exact hzero
150
+ have hb : ∀ b q, base ((h + 1) + n) q (flip (fun _ => false) (blocks b)) = true := by
151
+ rw [he]
152
+ exact hblocks
153
+ exact recursiveFamily_rowLift T label _
154
+ (towerFamily_zero T label base hr n (h + 1) hz)
155
+ (towerBlocks blocks n b.2) (ih (h + 1) hz hb b.2) b.1 q
156
+
157
+ end Paper320
158
+
159
+ end
160
+
161
+ end OAI
lean/OAI/Combinatorics/Sensitivity/TowerProfiles.lean ADDED
@@ -0,0 +1,80 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ import OAI.Combinatorics.Sensitivity.Tower
2
+ import OAI.Combinatorics.Sensitivity.RecursiveChildren
3
+
4
+ namespace OAI
5
+
6
+ /-! The fixed-initial-height profiles and their exact four recurrences. -/
7
+
8
+ noncomputable section
9
+ open scoped Classical
10
+
11
+ namespace Paper320
12
+
13
+ def towerSide {k r : ℕ} {I : Type} [Fintype I] (T : Tournament k)
14
+ (label : Fin k → Fin k → Fin r) (base : (h : ℕ) → Fin h → (I → Bool) → Bool)
15
+ (D n : ℕ) (b : Bool) : ℕ :=
16
+ sideSensitivity (towerFamily T label base n (D - n)) b
17
+
18
+ def towerJoint {k r : ℕ} {I : Type} [Fintype I] (T : Tournament k)
19
+ (label : Fin k → Fin k → Fin r) (base : (h : ℕ) → Fin h → (I → Bool) → Bool)
20
+ (D n : ℕ) (b : Bool) : ℕ :=
21
+ jointSensitivity (towerFamily T label base n (D - n)) b
22
+
23
+ @[simp] theorem towerSide_zero {k r : ℕ} {I : Type} [Fintype I] (T : Tournament k)
24
+ (label : Fin k → Fin k → Fin r) (base : (h : ℕ) → Fin h → (I → Bool) → Bool)
25
+ (D : ℕ) (b : Bool) : towerSide T label base D 0 b = sideSensitivity (base D) b := by
26
+ rfl
27
+
28
+ @[simp] theorem towerJoint_zero {k r : ℕ} {I : Type} [Fintype I] (T : Tournament k)
29
+ (label : Fin k → Fin k → Fin r) (base : (h : ℕ) → Fin h → (I → Bool) → Bool)
30
+ (D : ℕ) (b : Bool) : towerJoint T label base D 0 b = jointSensitivity (base D) b := by
31
+ rfl
32
+
33
+ theorem tower_four_recurrences {M r : ℕ} {I : Type} [Fintype I]
34
+ (T : RegularTournament M) (A : GoodLabeling T.toTournament r)
35
+ (base : (h : ℕ) → Fin h → (I → Bool) → Bool)
36
+ (D n : ℕ) (hn : n < D) (hr : 0 < r) (hbase : NestedFamily (base D)) :
37
+ (towerSide T.toTournament A.label base D (n + 1) true ≤
38
+ M ^ 2 * towerSide T.toTournament A.label base D n false +
39
+ r * towerSide T.toTournament A.label base D n true) ∧
40
+ (towerJoint T.toTournament A.label base D (n + 1) true ≤
41
+ M ^ 2 * towerJoint T.toTournament A.label base D n false +
42
+ r * towerSide T.toTournament A.label base D n true) ∧
43
+ (towerSide T.toTournament A.label base D (n + 1) false ≤
44
+ 16 * towerSide T.toTournament A.label base D n false +
45
+ towerSide T.toTournament A.label base D n true +
46
+ 3 * towerJoint T.toTournament A.label base D n true) ∧
47
+ (towerJoint T.toTournament A.label base D (n + 1) false ≤
48
+ 16 * towerSide T.toTournament A.label base D n false +
49
+ 3 * towerJoint T.toTournament A.label base D n true) := by
50
+ have he : (D - (n + 1) + 1) + n = D := by omega
51
+ have hf : NestedFamily (towerFamily T.toTournament A.label base n (D - (n + 1) + 1)) := by
52
+ apply towerFamily_nested
53
+ rwa [he]
54
+ have H := recursive_four_recurrences T A
55
+ (towerFamily T.toTournament A.label base n (D - (n + 1) + 1)) hf hr
56
+ dsimp only at H
57
+ change (sideSensitivity (towerFamily T.toTournament A.label base (n + 1) (D - (n + 1))) true ≤ _) ∧
58
+ (jointSensitivity (towerFamily T.toTournament A.label base (n + 1) (D - (n + 1))) true ≤ _) ∧
59
+ (sideSensitivity (towerFamily T.toTournament A.label base (n + 1) (D - (n + 1))) false ≤ _) ∧
60
+ (jointSensitivity (towerFamily T.toTournament A.label base (n + 1) (D - (n + 1))) false ≤ _) at H
61
+ have hcount : D - (n + 1) + 1 = D - n := by omega
62
+ rw [hcount] at H
63
+ exact H
64
+
65
+ theorem towerBlocks_family_card {k r : ℕ} {I K : Type} [Fintype K]
66
+ (blocks : K → Finset I) (hr : 0 < r) (hne : ∀ b, (blocks b).Nonempty)
67
+ (hd : Pairwise fun a b => Disjoint (blocks a) (blocks b)) (n : ℕ) :
68
+ (Finset.univ.image (towerBlocks (k := k) (r := r) blocks n)).card = k ^ n * Fintype.card K := by
69
+ have hinj : Function.Injective (towerBlocks (k := k) (r := r) blocks n) := by
70
+ intro a b hab
71
+ by_contra hneab
72
+ obtain ⟨i, hi⟩ := towerBlocks_nonempty blocks hr hne n a
73
+ exact Finset.disjoint_left.mp (towerBlocks_pairwise blocks hd n hneab) hi (by simpa [← hab] using hi)
74
+ rw [Finset.card_image_of_injective _ hinj, Finset.card_univ, tower_block_index_card]
75
+
76
+ end Paper320
77
+
78
+ end
79
+
80
+ end OAI
lean/OAI/Combinatorics/Sensitivity/UniformCoordinates.lean ADDED
@@ -0,0 +1,31 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ import OAI.Combinatorics.Sensitivity.FixedCoordinates
2
+ import Mathlib.Probability.Distributions.Uniform
3
+
4
+ namespace OAI
5
+
6
+ /-! The exact probability of prescribed values under uniform independent labels. -/
7
+
8
+ noncomputable section
9
+ open scoped Classical
10
+
11
+ namespace Paper320
12
+
13
+ theorem uniform_fixedCoordinates_probability {α β : Type} [Fintype α] [Fintype β]
14
+ [DecidableEq α] [Nonempty β] (s : Finset α) (v : α → β) :
15
+ ((PMF.uniformOfFintype (α → β)).toOuterMeasure
16
+ {f | ∀ i ∈ s, f i = v i}).toReal = 1 / (Fintype.card β : ℝ)^s.card := by
17
+ rw [PMF.toOuterMeasure_uniformOfFintype_apply]
18
+ simp only [ENNReal.toReal_div, ENNReal.toReal_natCast]
19
+ rw [Fintype.card_subtype]
20
+ simp only [Set.mem_ofPred_eq]
21
+ rw [card_fixedCoordinates, Fintype.card_fun]
22
+ simp only [Nat.cast_pow]
23
+ have hp : (Fintype.card β : ℝ) ≠ 0 := by exact_mod_cast Fintype.card_ne_zero (α := β)
24
+ rw [div_eq_div_iff (pow_ne_zero _ hp) (pow_ne_zero _ hp), one_mul,
25
+ ← pow_add, Nat.sub_add_cancel (Finset.card_le_univ s)]
26
+
27
+ end Paper320
28
+
29
+ end
30
+
31
+ end OAI
lean/OAI/Combinatorics/SharpRamsey/Bounds/FromConstruction.lean ADDED
@@ -0,0 +1,79 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ import Mathlib
2
+ import OAI.Combinatorics.SharpRamsey.Bounds.Lower
3
+
4
+ namespace OAI
5
+
6
+ /-! Two-sided Ramsey bounds and the logarithmic limit from a prime-field construction. -/
7
+
8
+ section
9
+ namespace SharpLogRamsey
10
+
11
+ theorem mainLimit_of_mainBounds (s : ℕ) (h : MainBounds s) : MainLimit s := by
12
+ obtain ⟨C,hC,h⟩ := h
13
+ have hlog : Filter.Tendsto (fun t : ℕ => Real.log (t:ℝ)) Filter.atTop Filter.atTop :=
14
+ Real.tendsto_log_atTop.comp tendsto_natCast_atTop_atTop
15
+ have hloglog : Filter.Tendsto (fun t : ℕ => Real.log (Real.log (t:ℝ)))
16
+ Filter.atTop Filter.atTop := Real.tendsto_log_atTop.comp hlog
17
+ apply Metric.tendsto_atTop.mpr
18
+ intro ε hε
19
+ obtain ⟨t₀,ht₀⟩ := h (ε/2) (by positivity)
20
+ obtain ⟨t₁,ht₁⟩ := Filter.eventually_atTop.mp
21
+ (hloglog.eventually (Filter.eventually_gt_atTop (max 0 (2*|Real.log C|/ε))))
22
+ refine ⟨max (max t₀ t₁) 2, fun t ht => ?_⟩
23
+ have htl : t₀≤t := (le_max_left t₀ t₁).trans ((le_max_left _ _).trans ht)
24
+ have htll : t₁≤t := (le_max_right t₀ t₁).trans ((le_max_left _ _).trans ht)
25
+ have ht2 : 2≤t := (le_max_right _ _).trans ht
26
+ have htp : (0:ℝ)<t := by exact_mod_cast (by omega : 0<t)
27
+ have hlt : 0<Real.log (t:ℝ) := Real.log_pos (by exact_mod_cast (by omega : 1<t))
28
+ have hll0 : 0<Real.log (Real.log (t:ℝ)) := (le_max_left _ _).trans_lt (ht₁ t htll)
29
+ have hllbig : 2*|Real.log C|/ε<Real.log (Real.log (t:ℝ)) :=
30
+ (le_max_right _ _).trans_lt (ht₁ t htll)
31
+ obtain ⟨hl,hu⟩ := ht₀ t htl
32
+ have hp : 0<(t:ℝ)^(s-1)/Real.rpow (Real.log (t:ℝ)) ((s-2:ℕ)+(ε/2)) :=
33
+ div_pos (pow_pos htp _) (Real.rpow_pos_of_pos hlt _)
34
+ have hr : 0<(ramsey s t:ℝ) := hp.trans_le hl
35
+ have hl' := Real.log_le_log hp hl
36
+ change Real.log ((t:ℝ)^(s-1)/(Real.log (t:ℝ))^(((s-2:ℕ):ℝ)+ε/2)) ≤ Real.log (ramsey s t:ℝ) at hl'
37
+ rw [Real.log_div (pow_ne_zero (s-1) (ne_of_gt htp))
38
+ (ne_of_gt (Real.rpow_pos_of_pos hlt (((s-2:ℕ):ℝ)+(ε/2)))), Real.log_pow,Real.log_rpow hlt] at hl'
39
+ have hu' := Real.log_le_log hr hu
40
+ rw [Real.log_div (mul_ne_zero (ne_of_gt hC) (pow_ne_zero (s-1) (ne_of_gt htp)))
41
+ (pow_ne_zero (s-2) (ne_of_gt hlt)), Real.log_mul (ne_of_gt hC)
42
+ (pow_ne_zero (s-1) (ne_of_gt htp)),Real.log_pow,Real.log_pow] at hu'
43
+ have herr : |Real.log C| < (ε/2)*Real.log (Real.log (t:ℝ)) := by
44
+ have he := (div_lt_iff₀ hε).mp hllbig
45
+ nlinarith
46
+ have hlow : ((s-2:ℕ):ℝ)-ε/2 <
47
+ (((s-1:ℕ):ℝ)*Real.log (t:ℝ)-Real.log (ramsey s t:ℝ))/
48
+ Real.log (Real.log (t:ℝ)) := by
49
+ apply (lt_div_iff₀ hll0).mpr
50
+ have habs := le_abs_self (Real.log C)
51
+ nlinarith
52
+ have hupp : (((s-1:ℕ):ℝ)*Real.log (t:ℝ)-Real.log (ramsey s t:ℝ))/
53
+ Real.log (Real.log (t:ℝ)) ≤ ((s-2:ℕ):ℝ)+ε/2 := by
54
+ apply (div_le_iff₀ hll0).mpr
55
+ nlinarith
56
+ rw [Real.dist_eq,abs_lt]
57
+ constructor <;> linarith
58
+ end SharpLogRamsey
59
+
60
+ namespace SharpLogRamsey
61
+
62
+ theorem main_of_primeConstruction (s : ℕ) (hs : 6 ≤ s)
63
+ (hprime : LowerTransfer.PrimeConstruction (s-1)) : MainBounds s ∧ MainLimit s := by
64
+ have hb : MainBounds s := by
65
+ obtain ⟨C,hC,t₀,ht₀⟩ := Upper.ramsey_upper (by omega : 3 ≤ s)
66
+ refine ⟨C,hC,fun ε hε => ?_⟩
67
+ have hl := LowerTransfer.all_epsilon_lower (s-1) (by omega) hprime ε hε
68
+ have he : s-1+1=s := by omega
69
+ have he' : s-1-1=s-2 := by omega
70
+ rw [he,he'] at hl
71
+ obtain ⟨t₁,ht₁⟩ := Filter.eventually_atTop.mp hl
72
+ exact ⟨max t₀ t₁,fun t ht => ⟨ht₁ t ((le_max_right _ _).trans ht),
73
+ ht₀ t ((le_max_left _ _).trans ht)⟩⟩
74
+ exact ⟨hb,mainLimit_of_mainBounds s hb⟩
75
+ end SharpLogRamsey
76
+
77
+ end
78
+
79
+ end OAI
lean/OAI/Combinatorics/SharpRamsey/Bounds/Lower.lean ADDED
@@ -0,0 +1,186 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ import Mathlib
2
+ import OAI.Combinatorics.SharpRamsey.Bounds.SamplingParameter
3
+
4
+ namespace OAI
5
+
6
+ /-! Transfer of finite prime-field graph constructions to all sufficiently large orders. -/
7
+
8
+ section
9
+ namespace SharpLogRamsey.LowerTransfer
10
+ open Filter Real
11
+ open scoped Topology
12
+ noncomputable section
13
+
14
+ def PrimeConstruction (d : ℕ) : Prop :=
15
+ ∀ η : ℝ, 0 < η → η < 1/10 → ∀ᶠ q : ℕ in atTop,
16
+ q.Prime → ∃ G : SimpleGraph (Fin ⌊(q:ℝ)^d * Real.log q⌋₊),
17
+ G.CliqueFree (d+1) ∧ G.indepNum < ⌊(q:ℝ) * (Real.log q)^(1+η)⌋₊
18
+
19
+ theorem prime_interval (x : ℝ) (hx : 4 ≤ x) :
20
+ ∃ q : ℕ, q.Prime ∧ x/4 ≤ q ∧ (q:ℝ) ≤ x := by
21
+ let n := ⌊x/2⌋₊
22
+ have hn : 1 ≤ n := (Nat.one_le_floor_iff _).mpr (by linarith)
23
+ obtain ⟨q,hq,hnq,hqn⟩ := Nat.exists_prime_lt_and_le_two_mul n (by omega)
24
+ refine ⟨q,hq,?_,?_⟩
25
+ · have hnf := Nat.lt_floor_add_one (x/2)
26
+ have hnqr : (n:ℝ)+1 ≤ q := by exact_mod_cast hnq
27
+ dsimp [n] at hnqr
28
+ linarith
29
+ · have hnf := Nat.floor_le (show 0≤x/2 by linarith)
30
+ have hqn' : (q:ℝ) ≤ 2*n := by exact_mod_cast hqn
31
+ dsimp [n] at hqn'
32
+ linarith
33
+
34
+ theorem witness_bound (d q t : ℕ) (η : ℝ) (hd : 1≤d) (ht : 1≤t)
35
+ (G : SimpleGraph (Fin ⌊(q:ℝ)^d * Real.log q⌋₊))
36
+ (hG : G.CliqueFree (d+1))
37
+ (hI : G.indepNum < ⌊(q:ℝ)*(Real.log q)^(1+η)⌋₊)
38
+ (hqt : (q:ℝ)*(Real.log q)^(1+η) ≤ t) :
39
+ (q:ℝ)^d * Real.log q < (ramsey (d+1) t : ℝ) := by
40
+ have hk : ⌊(q:ℝ)*(Real.log q)^(1+η)⌋₊ ≤ t := Nat.floor_le_of_le hqt
41
+ have hf : Gᶜ.CliqueFree t := by
42
+ intro A hA
43
+ have hi := G.isNClique_compl.mp hA
44
+ have hle := hi.isIndepSet.card_le_indepNum
45
+ have hc := hi.card_eq
46
+ omega
47
+ have hr := Foundation.order_lt_ramsey G (by omega) ht hG hf
48
+ simp only [Fintype.card_fin] at hr
49
+ have hr' : (⌊(q:ℝ)^d * Real.log q⌋₊ :ℝ)+1 ≤ ramsey (d+1) t := by
50
+ exact_mod_cast hr
51
+ exact (Nat.lt_floor_add_one _).trans_le hr'
52
+
53
+ theorem eventual_scale (η : ℝ) : ∀ᶠ t : ℝ in atTop,
54
+ 1 < t ∧ 1 ≤ Real.log t ∧
55
+ 4*t^((1:ℝ)/2) ≤ t/(Real.log t)^(1+η) := by
56
+ have h := (isLittleO_log_rpow_rpow_atTop (1+η) (show 0<(1:ℝ)/2 by norm_num)).bound
57
+ (show 0<(1:ℝ)/4 by norm_num)
58
+ filter_upwards [h,eventually_gt_atTop (1:ℝ),Real.tendsto_log_atTop.eventually_ge_atTop 1]
59
+ with t ht ht1 hl
60
+ refine ⟨ht1,hl,?_⟩
61
+ have ht0 : 0<t := by linarith
62
+ have hl0 : 0<Real.log t := by linarith
63
+ simp only [Real.norm_eq_abs,abs_of_pos (Real.rpow_pos_of_pos hl0 _),
64
+ abs_of_pos (Real.rpow_pos_of_pos ht0 _)] at ht
65
+ apply (le_div_iff₀ (Real.rpow_pos_of_pos hl0 _)).mpr
66
+ have hp : t^((1:ℝ)/2)*t^((1:ℝ)/2)=t := by
67
+ rw [←Real.rpow_add ht0]; norm_num
68
+ nlinarith [mul_le_mul_of_nonneg_left ht (Real.rpow_nonneg ht0.le ((1:ℝ)/2))]
69
+
70
+ theorem interval_bounds (η t q : ℝ) (hη : 0≤η) (ht : 1<t) (hl : 1≤Real.log t)
71
+ (hscale : 4*t^((1:ℝ)/2) ≤ t/(Real.log t)^(1+η))
72
+ (hqlo : (t/(Real.log t)^(1+η))/4 ≤ q)
73
+ (hqhi : q ≤ t/(Real.log t)^(1+η)) :
74
+ 0<q ∧ Real.log t/2 ≤ Real.log q ∧
75
+ q*(Real.log q)^(1+η) ≤ t := by
76
+ have ht0 : 0<t := by linarith
77
+ have hl0 : 0<Real.log t := by linarith
78
+ have hp : 0<(Real.log t)^(1+η) := Real.rpow_pos_of_pos hl0 _
79
+ have hqs : t^((1:ℝ)/2)≤q := by linarith
80
+ have hq0 : 0<q := (Real.rpow_pos_of_pos ht0 _).trans_le hqs
81
+ refine ⟨hq0,?_,?_⟩
82
+ · have hlog := Real.log_le_log (Real.rpow_pos_of_pos ht0 _) hqs
83
+ rw [Real.log_rpow ht0] at hlog
84
+ linarith
85
+ · have hden : 1≤(Real.log t)^(1+η) := Real.one_le_rpow hl (by linarith)
86
+ have hqt : q≤t := hqhi.trans (div_le_self ht0.le hden)
87
+ have hq1 : 1≤q := (Real.one_le_rpow ht.le (by norm_num)).trans hqs
88
+ have hlogq : 0≤Real.log q := Real.log_nonneg hq1
89
+ have hpow : (Real.log q)^(1+η)≤(Real.log t)^(1+η) :=
90
+ Real.rpow_le_rpow hlogq (Real.log_le_log hq0 hqt) (by linarith)
91
+ calc
92
+ q*(Real.log q)^(1+η) ≤ q*(Real.log t)^(1+η) := mul_le_mul_of_nonneg_left hpow hq0.le
93
+ _ ≤ (t/(Real.log t)^(1+η))*(Real.log t)^(1+η) :=
94
+ mul_le_mul_of_nonneg_right hqhi hp.le
95
+ _ = t := div_mul_cancel₀ _ hp.ne'
96
+
97
+ theorem scalar_lower (d : ℕ) (hd : 1≤d) (η ε t q : ℝ)
98
+ (ht : 0≤t) (hl : 0<Real.log t) (hq : 0≤q)
99
+ (hqlo : (t/(Real.log t)^(1+η))/4 ≤ q)
100
+ (hlog : Real.log t/2 ≤ Real.log q)
101
+ (habsorb : 2*(4:ℝ)^d ≤ (Real.log t)^(ε-(d:ℝ)*η)) :
102
+ t^d/(Real.log t)^(((d-1:ℕ):ℝ)+ε) ≤ q^d*Real.log q := by
103
+ let a : ℝ := ((d-1:ℕ):ℝ)+(d:ℝ)*η
104
+ have he : (1+η)*(d:ℝ)=a+1 := by
105
+ dsimp [a]
106
+ rw [Nat.cast_sub hd]
107
+ norm_num
108
+ ring
109
+ have he' : ((d-1:ℕ):ℝ)+ε=a+(ε-(d:ℝ)*η) := by dsimp [a];ring
110
+ have hpow : ((Real.log t)^(1+η))^d=(Real.log t)^a*Real.log t := by
111
+ rw [←Real.rpow_natCast,←Real.rpow_mul hl.le,he,Real.rpow_add_one hl.ne']
112
+ have hp : 0<(Real.log t)^a := Real.rpow_pos_of_pos hl _
113
+ have hp' : 0<(Real.log t)^(ε-(d:ℝ)*η) := Real.rpow_pos_of_pos hl _
114
+ have h4 : 0<(4:ℝ)^d := by positivity
115
+ have hden : ((Real.log t)^a)*(2*(4:ℝ)^d) ≤
116
+ ((Real.log t)^a)*(Real.log t)^(ε-(d:ℝ)*η) :=
117
+ mul_le_mul_of_nonneg_left habsorb hp.le
118
+ calc
119
+ t^d/(Real.log t)^(((d-1:ℕ):ℝ)+ε) =
120
+ t^d/((Real.log t)^a*(Real.log t)^(ε-(d:ℝ)*η)) := by rw [he',Real.rpow_add hl]
121
+ _ ≤ t^d/((Real.log t)^a*(2*(4:ℝ)^d)) :=
122
+ div_le_div_of_nonneg_left (pow_nonneg ht _) (by positivity) hden
123
+ _ = ((t/(Real.log t)^(1+η))/4)^d*(Real.log t/2) := by
124
+ rw [div_pow,div_pow,hpow]
125
+ field_simp
126
+ _ ≤ q^d*Real.log q := by
127
+ apply mul_le_mul
128
+ · exact pow_le_pow_left₀ (by positivity) hqlo _
129
+ · exact hlog
130
+ · positivity
131
+ · exact pow_nonneg hq _
132
+
133
+ theorem lower_from_prime_construction (d : ℕ) (hd : 1≤d) (hprime : PrimeConstruction d)
134
+ (η ε : ℝ) (hη : 0<η) (hη' : η<1/10) (hε : (d:ℝ)*η<ε) :
135
+ ∀ᶠ t : ℕ in atTop,
136
+ (t:ℝ)^d/(Real.log t)^(((d-1:ℕ):ℝ)+ε) ≤ (ramsey (d+1) t :ℝ) := by
137
+ obtain ⟨q₀,hq₀⟩ := eventually_atTop.mp (hprime η hη hη')
138
+ have hcoef : ∀ᶠ t : ℝ in atTop,
139
+ 2*(4:ℝ)^d ≤ (Real.log t)^(ε-(d:ℝ)*η) :=
140
+ ((tendsto_rpow_atTop (by linarith : 0<ε-(d:ℝ)*η)).comp
141
+ Real.tendsto_log_atTop).eventually_ge_atTop _
142
+ have hsqr : ∀ᶠ t : ℝ in atTop, max 1 (q₀:ℝ) ≤ t^((1:ℝ)/2) :=
143
+ (tendsto_rpow_atTop (by norm_num : 0<(1:ℝ)/2)).eventually_ge_atTop _
144
+ have H : ∀ᶠ t : ℝ in atTop,
145
+ 1<t ∧ 1≤Real.log t ∧ 4*t^((1:ℝ)/2)≤t/(Real.log t)^(1+η) ∧
146
+ max 1 (q₀:ℝ)≤t^((1:ℝ)/2) ∧
147
+ 2*(4:ℝ)^d≤(Real.log t)^(ε-(d:ℝ)*η) := by
148
+ filter_upwards [eventual_scale η,hsqr,hcoef] with t ht hs hc
149
+ exact ⟨ht.1,ht.2.1,ht.2.2,hs,hc⟩
150
+ filter_upwards [tendsto_natCast_atTop_atTop.eventually H] with t ht
151
+ obtain ⟨ht1,hl,hs,hqmin,hcoef⟩ := ht
152
+ have hx4 : 4 ≤ (t:ℝ)/(Real.log t)^(1+η) := by
153
+ have := (le_max_left (1:ℝ) q₀).trans hqmin
154
+ linarith
155
+ obtain ⟨q,hq,hql,hqu⟩ := prime_interval _ hx4
156
+ have hq₀' : q₀≤q := by
157
+ have hreal : (q₀:ℝ)≤q := by
158
+ have := (le_max_right (1:ℝ) q₀).trans hqmin
159
+ linarith
160
+ exact_mod_cast hreal
161
+ obtain ⟨G,hG,hI⟩ := hq₀ q hq₀' hq
162
+ obtain ⟨hqpos,hlog,hsize⟩ := interval_bounds η t q hη.le ht1 hl hs hql hqu
163
+ have hr := witness_bound d q t η hd (by exact_mod_cast ht1.le) G hG hI hsize
164
+ exact (scalar_lower d hd η ε t q (by positivity) (by linarith) hqpos.le hql hlog hcoef).trans hr.le
165
+
166
+ theorem all_epsilon_lower (d : ℕ) (hd : 1≤d) (hprime : PrimeConstruction d)
167
+ (ε : ℝ) (hε : 0<ε) :
168
+ ∀ᶠ t : ℕ in atTop,
169
+ (t:ℝ)^d/(Real.log t)^(((d-1:ℕ):ℝ)+ε) ≤ (ramsey (d+1) t :ℝ) := by
170
+ let η := min (1/20:ℝ) (ε/(2*(d:ℝ)))
171
+ have hd0 : 0<(d:ℝ) := by exact_mod_cast (show 0<d by omega)
172
+ have hη : 0<η := lt_min (by norm_num) (by positivity)
173
+ have hη' : η<1/10 := (min_le_left _ _).trans_lt (by norm_num)
174
+ have hηε : (d:ℝ)*η<ε := by
175
+ have h := mul_le_mul_of_nonneg_left (min_le_right (1/20:ℝ) (ε/(2*(d:ℝ)))) hd0.le
176
+ have he : (d:ℝ)*(ε/(2*(d:ℝ)))=ε/2 := by field_simp
177
+ rw [he] at h
178
+ exact h.trans_lt (by linarith)
179
+ exact lower_from_prime_construction d hd hprime η ε hη hη' hηε
180
+
181
+ end
182
+ end SharpLogRamsey.LowerTransfer
183
+
184
+ end
185
+
186
+ end OAI
lean/OAI/Combinatorics/SharpRamsey/Bounds/SamplingParameter.lean ADDED
@@ -0,0 +1,313 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ import Mathlib
2
+ import OAI.Combinatorics.SharpRamsey.Bounds.SumFiberCenter
3
+
4
+ namespace OAI
5
+
6
+ /-! The off-diagonal Ramsey upper bound. -/
7
+
8
+ section
9
+ open scoped BigOperators Classical
10
+ open Finset
11
+ open scoped BigOperators Classical
12
+ open Finset
13
+ open scoped BigOperators Classical
14
+ open Finset
15
+ open scoped BigOperators
16
+ namespace SharpLogRamsey.Upper
17
+ theorem sampling_parameter {h m t : ℝ} (hh : 1 ≤ h) (hm : 1 ≤ m)
18
+ (ht : 65536 ≤ t) (hratio : m * Real.sqrt t ≤ h) :
19
+ ∃ p : ℝ, 0 < p ∧ p ≤ 1 ∧ 1 ≤ p*h ∧ p^2*h*m ≤ 1/8 ∧
20
+ Real.log t ≤ 8 * Real.log (p*h) := by
21
+ have hh0 : 0 < h := by linarith
22
+ have hm0 : 0 < m := by linarith
23
+ have ht0 : 0 < t := by linarith
24
+ have hs : 0 < Real.sqrt (h*m) := Real.sqrt_pos.mpr (mul_pos hh0 hm0)
25
+ let p := 1 / (4 * Real.sqrt (h*m))
26
+ have hp : 0 < p := by dsimp [p]; positivity
27
+ have hs1 : 1 ≤ Real.sqrt (h*m) := by
28
+ rw [Real.le_sqrt (by norm_num) (by positivity)]
29
+ nlinarith
30
+ have hp1 : p ≤ 1 := by
31
+ dsimp [p]
32
+ apply (div_le_iff₀ (by positivity)).mpr
33
+ linarith
34
+ have hsq := Real.sq_sqrt (show 0 ≤ h*m by positivity)
35
+ have hmoment : p^2*h*m = 1/16 := by
36
+ dsimp [p]
37
+ field_simp
38
+ nlinarith
39
+ have hlog : Real.log (p*h) = (Real.log h - Real.log m)/2 - Real.log 4 := by
40
+ dsimp [p]
41
+ rw [Real.log_mul (by positivity) hh0.ne', Real.log_div (by norm_num) (by positivity),
42
+ Real.log_one, Real.log_mul (by norm_num) hs.ne', Real.log_sqrt (by positivity : 0 ≤ h*m),
43
+ Real.log_mul hh0.ne' hm0.ne']
44
+ ring
45
+ have hratio' := Real.log_le_log (mul_pos hm0 (Real.sqrt_pos.mpr ht0)) hratio
46
+ rw [Real.log_mul hm0.ne' (Real.sqrt_pos.mpr ht0).ne', Real.log_sqrt ht0.le] at hratio'
47
+ have htlog := Real.log_le_log (show (0:ℝ) < 65536 by norm_num) ht
48
+ have h65536 : Real.log (65536:ℝ) = 8 * Real.log 4 := by
49
+ rw [show (65536:ℝ) = 4^8 by norm_num, Real.log_pow]
50
+ norm_num
51
+ rw [h65536] at htlog
52
+ have hl : Real.log t ≤ 8 * Real.log (p*h) := by linarith
53
+ have hl0 : 0 ≤ Real.log (p*h) := by
54
+ have htl : 0 ≤ Real.log t := Real.log_nonneg (by linarith)
55
+ linarith
56
+ have hph : 1 ≤ p*h := by
57
+ exact (Real.log_nonneg_iff (by positivity)).mp hl0
58
+ exact ⟨p,hp,hp1,hph,by linarith,hl⟩
59
+
60
+ end SharpLogRamsey.Upper
61
+
62
+ namespace SharpLogRamsey.Upper
63
+ open Foundation Sampling
64
+ variable {V : Type*} [Fintype V] [DecidableEq V] (G : SimpleGraph V)
65
+
66
+ theorem alteration_bound {h m t : ℕ} (ht : 1 ≤ t)
67
+ (hG : Gᶜ.CliqueFree t) (hdeg : ∀ x, G.degree x ≤ h)
68
+ (hcommon : ∀ x y, G.Adj x y → Fintype.card (G.commonNeighbors x y) ≤ m)
69
+ {p : ℝ} (hp : 0 < p) (hp1 : p ≤ 1)
70
+ (hph : 1 ≤ p*h) (hmoment : p^2*h*m ≤ 1/8) :
71
+ (Fintype.card V : ℝ) * Real.log (p*h) ≤ 256 * t * h := by
72
+ let n : ℝ := Fintype.card V
73
+ have hn : 0 ≤ n := Nat.cast_nonneg _
74
+ have hhp : (0:ℝ) < h := by nlinarith
75
+ have hD : 0 < 12*p*h := by positivity
76
+ obtain ⟨U,hU,hUd,hUt⟩ := sample_prune G hp.le hp1 hD
77
+ have hsum : (∑ x : V, (G.degree x : ℝ)) ≤ n*h := by
78
+ calc
79
+ _ ≤ ∑ _x : V, (h : ℝ) := sum_le_sum (fun x _ => by exact_mod_cast hdeg x)
80
+ _ = n*h := by simp [n]
81
+ have htri : ((G.cliqueFinset 3).card : ℝ) ≤ n*h*m := by
82
+ dsimp [n]
83
+ exact_mod_cast triangle_count_le G hdeg hcommon
84
+ have hloss : p^2 * (∑ x : V, (G.degree x : ℝ)) / (12*p*h) ≤ n*p/12 := by
85
+ apply (div_le_iff₀ hD).mpr
86
+ calc
87
+ _ ≤ p^2*(n*h) := mul_le_mul_of_nonneg_left hsum (sq_nonneg _)
88
+ _ = n*p/12*(12*p*h) := by ring
89
+ have htri' : p^3 * ((G.cliqueFinset 3).card : ℝ) ≤ n*p/8 := by
90
+ calc
91
+ _ ≤ p^3*(n*h*m) := mul_le_mul_of_nonneg_left htri (by positivity)
92
+ _ = n*p*(p^2*h*m) := by ring
93
+ _ ≤ n*p*(1/8) := mul_le_mul_of_nonneg_left hmoment (by positivity)
94
+ _ = n*p/8 := by ring
95
+ have hUsize : 3/4*n*p ≤ (U.card : ℝ) := by dsimp [n] at *; linarith
96
+ have hlog : 0 ≤ Real.log (p*h) := Real.log_nonneg hph
97
+ by_cases hn0 : n = 0
98
+ · change n * _ ≤ _
99
+ rw [hn0, zero_mul]
100
+ positivity
101
+ have hnpos : 0 < n := lt_of_le_of_ne hn (Ne.symm hn0)
102
+ have hUpos : 0 < U.card := by
103
+ have hu : (0:ℝ) < U.card := lt_of_lt_of_le (by positivity) hUsize
104
+ exact_mod_cast hu
105
+ obtain ⟨x,hx⟩ := card_pos.mp hUpos
106
+ let : Nonempty (U : Set V) := ⟨⟨x,hx⟩⟩
107
+ have ha := TriangleFree.indepNum_lower_bound (G.induce (U : Set V)) hUt
108
+ (by nlinarith : (1:ℝ) ≤ 12*p*h) hUd
109
+ have hat : ((G.induce (U : Set V)).indepNum : ℝ) < t := by
110
+ exact_mod_cast indepNum_lt_of_cliqueFree_compl (G.induce (U : Set V))
111
+ (compl_cliqueFree_induce G hG _)
112
+ have ha' : (U.card : ℝ) * Real.log (12*p*h+1) < t*(8*(12*p*h+1)) := by
113
+ have H := ha.trans_lt hat
114
+ rw [div_lt_iff₀ (by positivity)] at H
115
+ have hc : Fintype.card (U : Set V) = U.card := Fintype.card_coe U
116
+ simpa only [hc] using H
117
+ have hl : Real.log (p*h) ≤ Real.log (12*p*h+1) :=
118
+ Real.log_le_log (by positivity) (by nlinarith)
119
+ have hu : (3/4*n*p) * Real.log (p*h) ≤
120
+ (U.card : ℝ) * Real.log (12*p*h+1) :=
121
+ mul_le_mul hUsize hl hlog (Nat.cast_nonneg _)
122
+ have hd : t*(8*(12*p*h+1)) ≤ 104*t*p*h := by
123
+ have ht0 : (0:ℝ) ≤ t := Nat.cast_nonneg _
124
+ nlinarith [mul_le_mul_of_nonneg_left hph ht0]
125
+ have H := (hu.trans_lt ha').trans_le hd
126
+ have ht0 : (0:ℝ) ≤ t := Nat.cast_nonneg _
127
+ change n*Real.log (p*h) ≤ _
128
+ have : p*(n*Real.log (p*h)) ≤ p*(256*t*h) := by nlinarith
129
+ exact (mul_le_mul_iff_right₀ hp).mp this
130
+
131
+ theorem graph_recurrence (j : ℕ) {t : ℕ} (ht : 65536 ≤ t)
132
+ (hs : G.CliqueFree (j+4)) (hi : Gᶜ.CliqueFree t) :
133
+ (Fintype.card V : ℝ) ≤
134
+ t*((t:ℝ)^(j+1)*Real.sqrt t+1) +
135
+ 2048*t*(ramsey (j+3) t)/Real.log t := by
136
+ let h := G.maxDegree
137
+ let m := ramsey (j+2) t
138
+ have ht1 : 1 ≤ t := by omega
139
+ have ht0 : (0:ℝ) < t := by exact_mod_cast (show 0 < t by omega)
140
+ have hlog : 0 < Real.log t := Real.log_pos (by exact_mod_cast (show 1 < t by omega))
141
+ have hm1 : 1 ≤ m := ht1.trans (le_ramsey (by omega) ht1)
142
+ have hmb : (m : ℝ) ≤ (t:ℝ)^(j+1) := by
143
+ have H := ramsey_le_pow (s := j+2) (by omega) ht1
144
+ norm_num at H
145
+ exact_mod_cast H
146
+ have hcommon : ∀ x y, G.Adj x y → Fintype.card (G.commonNeighbors x y) ≤ m := by
147
+ intro x y hxy
148
+ exact (order_lt_ramsey (G.induce (G.commonNeighbors x y)) (by omega) ht1
149
+ (cliqueFree_common G hs hxy) (compl_cliqueFree_induce G hi _)).le
150
+ have hdeg : ∀ x, G.degree x ≤ h := G.degree_le_maxDegree
151
+ have hhr : h ≤ ramsey (j+3) t := by
152
+ apply G.maxDegree_le_of_forall_degree_le
153
+ intro x
154
+ have H := order_lt_ramsey (G.induce (G.neighborSet x)) (by omega) ht1
155
+ (cliqueFree_neighbor G hs x) (compl_cliqueFree_induce G hi _)
156
+ rw [G.card_neighborSet_eq_degree] at H
157
+ exact H.le
158
+ have hright : 0 ≤ 2048*(t:ℝ)*(ramsey (j+3) t)/Real.log t := by positivity
159
+ by_cases hsmall : (h:ℝ) ≤ m*Real.sqrt t
160
+ · have hn := card_le_mul_indepNum G (B := h+1) (by intro x; exact Nat.add_le_add_right (hdeg x) 1)
161
+ have hia := indepNum_lt_of_cliqueFree_compl G hi
162
+ have Hnat : Fintype.card V ≤ (h+1)*t := hn.trans (Nat.mul_le_mul_left _ hia.le)
163
+ have H : (Fintype.card V : ℝ) ≤ ((h:ℝ)+1)*t := by exact_mod_cast Hnat
164
+ have hm' := mul_le_mul_of_nonneg_right hmb (Real.sqrt_nonneg (t:ℝ))
165
+ have H' := mul_le_mul_of_nonneg_right (add_le_add_right (hsmall.trans hm') 1) ht0.le
166
+ nlinarith
167
+ · have hh : (1:ℝ) ≤ h := by
168
+ have hsqrt : 1 ≤ Real.sqrt (t:ℝ) := by
169
+ rw [Real.le_sqrt (by norm_num) ht0.le]
170
+ exact_mod_cast ht1
171
+ have hm1' : (1:ℝ) ≤ m := by exact_mod_cast hm1
172
+ nlinarith
173
+ obtain ⟨p,hp,hp1,hph,hpm,hl⟩ := sampling_parameter hh (by exact_mod_cast hm1)
174
+ (by exact_mod_cast ht) (le_of_not_ge hsmall)
175
+ have hab := alteration_bound G ht1 hi hdeg hcommon hp hp1 hph hpm
176
+ have hn0 : (0:ℝ) ≤ Fintype.card V := Nat.cast_nonneg _
177
+ have H : (Fintype.card V : ℝ)*Real.log t ≤ 2048*t*h := by
178
+ nlinarith [mul_le_mul_of_nonneg_left hl hn0]
179
+ have H' : (Fintype.card V : ℝ) ≤ 2048*t*h/Real.log t :=
180
+ (le_div_iff₀ hlog).mpr H
181
+ have H'' : 2048*(t:ℝ)*h/Real.log t ≤ 2048*t*(ramsey (j+3) t)/Real.log t := by
182
+ apply div_le_div_of_nonneg_right _ hlog.le
183
+ exact mul_le_mul_of_nonneg_left (by exact_mod_cast hhr) (by positivity)
184
+ have hleft : 0 ≤ (t:ℝ)*((t:ℝ)^(j+1)*Real.sqrt t+1) := by positivity
185
+ linarith
186
+
187
+ theorem ramsey_recurrence (j : ℕ) {t : ℕ} (ht : 65536 ≤ t) :
188
+ (ramsey (j+4) t : ℝ) ≤
189
+ t*((t:ℝ)^(j+1)*Real.sqrt t+1) +
190
+ 2048*t*(ramsey (j+3) t)/Real.log t + 1 := by
191
+ classical
192
+ obtain ⟨G,hG,hGi⟩ := exists_avoiding_pred (s := j+4) (by omega) (by omega : 2 ≤ t)
193
+ have H := graph_recurrence G j ht hG hGi
194
+ simp only [Fintype.card_fin] at H
195
+ have hr : 1 ≤ ramsey (j+4) t :=
196
+ (by omega : 1 ≤ t).trans (le_ramsey (by omega) (by omega))
197
+ rw [Nat.cast_sub hr, Nat.cast_one] at H
198
+ linarith
199
+
200
+ theorem ramsey_three {t : ℕ} (ht : 2 ≤ t) :
201
+ (ramsey 3 t : ℝ)*Real.log t ≤ 17*(t:ℝ)^2 := by
202
+ classical
203
+ obtain ⟨G,hG,hGi⟩ := exists_avoiding_pred (s := 3) (by omega) ht
204
+ have hr : 2 ≤ ramsey 3 t := ht.trans (le_ramsey (by omega) (by omega))
205
+ have hnon : 0 < ramsey 3 t - 1 := by omega
206
+ let : Nonempty (Fin (ramsey 3 t - 1)) := Fin.pos_iff_nonempty.mp hnon
207
+ have hd : ∀ x, (G.degree x : ℝ) ≤ t := by
208
+ intro x
209
+ have H := order_lt_ramsey (G.induce (G.neighborSet x)) (by omega : 2 ≤ 2)
210
+ (by omega : 1 ≤ t) (cliqueFree_neighbor G hG x) (compl_cliqueFree_induce G hGi _)
211
+ rw [G.card_neighborSet_eq_degree, ramsey_two (by omega)] at H
212
+ exact_mod_cast H.le
213
+ have ht0 : (0:ℝ) < t := by exact_mod_cast (show 0 < t by omega)
214
+ have ht1 : (1:ℝ) ≤ t := by exact_mod_cast (show 1 ≤ t by omega)
215
+ have hl : 0 ≤ Real.log (t:ℝ) := Real.log_nonneg ht1
216
+ have H := TriangleFree.indepNum_lower_bound G hG ht1 hd
217
+ have hi : (G.indepNum : ℝ) < t := by
218
+ exact_mod_cast indepNum_lt_of_cliqueFree_compl G hGi
219
+ have H' := H.trans_lt hi
220
+ rw [div_lt_iff₀ (by positivity)] at H'
221
+ have hc : (Fintype.card (Fin (ramsey 3 t - 1)) : ℝ) = (ramsey 3 t : ℝ)-1 := by
222
+ rw [Fintype.card_fin, Nat.cast_sub (by omega), Nat.cast_one]
223
+ rw [hc] at H'
224
+ have hl' : Real.log (t:ℝ) ≤ Real.log ((t:ℝ)+1) := Real.log_le_log ht0 (by linarith)
225
+ have hn : 0 ≤ (ramsey 3 t : ℝ)-1 := by
226
+ have H : (2:ℝ) ≤ ramsey 3 t := by exact_mod_cast hr
227
+ linarith
228
+ have hh := mul_le_mul_of_nonneg_left hl' hn
229
+ have hlt := Real.log_le_self ht0.le
230
+ nlinarith [sq_nonneg ((t:ℝ)-1)]
231
+
232
+ open Filter in
233
+ theorem eventually_log_pow_le_sqrt (j : ℕ) :
234
+ ∀ᶠ t : ℕ in atTop, (Real.log (t:ℝ))^j ≤ Real.sqrt t := by
235
+ have H := (isLittleO_log_rpow_rpow_atTop (j:ℝ) (by norm_num : (0:ℝ)<1/2)).bound
236
+ (by norm_num : (0:ℝ)<1)
237
+ have Hn := tendsto_natCast_atTop_atTop.eventually H
238
+ filter_upwards [Hn, eventually_ge_atTop (1:ℕ)] with t ht ht1
239
+ have hlog := Real.log_nonneg (show (1:ℝ) ≤ t by exact_mod_cast ht1)
240
+ simpa only [Real.rpow_natCast, Real.norm_eq_abs, abs_of_nonneg (pow_nonneg hlog _),
241
+ ← Real.sqrt_eq_rpow, abs_of_nonneg (Real.sqrt_nonneg _), one_mul] using ht
242
+
243
+ open Filter in
244
+
245
+ theorem ramsey_upper_scaled (j : ℕ) :
246
+ ∃ C : ℝ, 0 < C ∧ ∀ᶠ t : ℕ in atTop,
247
+ (ramsey (j+3) t : ℝ)*(Real.log (t:ℝ))^(j+1) ≤ C*(t:ℝ)^(j+2) := by
248
+ induction j with
249
+ | zero =>
250
+ refine ⟨17, by norm_num, ?_⟩
251
+ filter_upwards [eventually_ge_atTop (2:ℕ)] with t ht
252
+ simpa using ramsey_three ht
253
+ | succ j ih =>
254
+ obtain ⟨C,hC,hCb⟩ := ih
255
+ refine ⟨3+2048*C, by positivity, ?_⟩
256
+ filter_upwards [hCb, eventually_log_pow_le_sqrt (j+2),
257
+ eventually_ge_atTop (65536:ℕ)] with t hCt hL ht
258
+ have ht1 : (1:ℝ) ≤ t := by exact_mod_cast (show 1 ≤ t by omega)
259
+ have ht0 : (0:ℝ) < t := by exact_mod_cast (show 0 < t by omega)
260
+ have hl : 0 < Real.log (t:ℝ) := Real.log_pos (by exact_mod_cast (show 1 < t by omega))
261
+ have hs := Real.sqrt_nonneg (t:ℝ)
262
+ have hs2 := Real.sq_sqrt ht0.le
263
+ have hst : Real.sqrt (t:ℝ) ≤ t := by
264
+ rw [Real.sqrt_le_iff]
265
+ exact ⟨ht0.le, by nlinarith⟩
266
+ have hpow : (t:ℝ)^2 ≤ (t:ℝ)^(j+3) := pow_le_pow_right₀ ht1 (by omega)
267
+ have hsmall : (t*((t:ℝ)^(j+1)*Real.sqrt t+1)+1)*(Real.log (t:ℝ))^(j+2) ≤
268
+ 3*(t:ℝ)^(j+3) := by
269
+ calc
270
+ _ ≤ (t*((t:ℝ)^(j+1)*Real.sqrt t+1)+1)*Real.sqrt t :=
271
+ mul_le_mul_of_nonneg_left hL (by positivity)
272
+ _ = (t:ℝ)^(j+1)*t*(Real.sqrt t)^2+(t+1)*Real.sqrt t := by ring
273
+ _ = (t:ℝ)^(j+3)+(t+1)*Real.sqrt t := by
274
+ rw [hs2]
275
+ simp only [pow_succ]
276
+ _ ≤ (t:ℝ)^(j+3)+2*(t:ℝ)^2 := by
277
+ have H := mul_le_mul_of_nonneg_left hst (by positivity : (0:ℝ) ≤ t+1)
278
+ nlinarith
279
+ _ ≤ 3*(t:ℝ)^(j+3) := by linarith
280
+ have hmain : (2048*t*(ramsey (j+3) t)/Real.log t)*(Real.log (t:ℝ))^(j+2) ≤
281
+ (2048*C)*(t:ℝ)^(j+3) := by
282
+ calc
283
+ _ = 2048*t*((ramsey (j+3) t : ℝ)*(Real.log (t:ℝ))^(j+1)) := by
284
+ rw [show j+2 = (j+1)+1 from by omega, pow_succ]
285
+ field_simp
286
+ _ ≤ 2048*t*(C*(t:ℝ)^(j+2)) :=
287
+ mul_le_mul_of_nonneg_left hCt (by positivity)
288
+ _ = (2048*C)*(t:ℝ)^(j+3) := by
289
+ rw [show j+3 = (j+2)+1 from by omega, pow_succ]; ring
290
+ have H := mul_le_mul_of_nonneg_right (ramsey_recurrence j ht)
291
+ (pow_nonneg hl.le (j+2))
292
+ linear_combination H + hsmall + hmain
293
+
294
+ open Filter in
295
+ theorem ramsey_upper {s : ℕ} (hs : 3 ≤ s) :
296
+ ∃ C : ℝ, 0 < C ∧ ∃ t₀ : ℕ, ∀ t : ℕ, t₀ ≤ t →
297
+ (ramsey s t : ℝ) ≤ C*(t:ℝ)^(s-1)/(Real.log (t:ℝ))^(s-2) := by
298
+ obtain ⟨j,rfl⟩ := Nat.exists_eq_add_of_le hs
299
+ obtain ⟨C,hC,hCb⟩ := ramsey_upper_scaled j
300
+ refine ⟨C,hC,?_⟩
301
+ have H : ∀ᶠ t : ℕ in atTop,
302
+ (ramsey (3+j) t : ℝ) ≤ C*(t:ℝ)^(3+j-1)/(Real.log (t:ℝ))^(3+j-2) := by
303
+ filter_upwards [hCb, eventually_ge_atTop (2:ℕ)] with t ht ht2
304
+ have hl : 0 < Real.log (t:ℝ) := Real.log_pos (by exact_mod_cast (show 1 < t by omega))
305
+ apply (le_div_iff₀ (pow_pos hl _)).mpr
306
+ simpa [show 3+j = j+3 from by omega] using ht
307
+ exact eventually_atTop.mp H
308
+
309
+ end SharpLogRamsey.Upper
310
+
311
+ end
312
+
313
+ end OAI
lean/OAI/Combinatorics/SharpRamsey/Bounds/SumFiberCenter.lean ADDED
@@ -0,0 +1,461 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ import Mathlib
2
+ import OAI.Combinatorics.SharpRamsey.Construction.FiniteStreamTail
3
+ import OAI.Combinatorics.SharpRamsey.Bounds.Upper
4
+
5
+ namespace OAI
6
+
7
+ /-! The off-diagonal Ramsey upper bound. -/
8
+
9
+ section
10
+ open scoped BigOperators Classical
11
+ open Finset
12
+ open scoped BigOperators Classical
13
+ open Finset
14
+ namespace SharpLogRamsey.TriangleFree
15
+ variable {V : Type*} [Fintype V] [DecidableEq V]
16
+ variable (G : SimpleGraph V)
17
+ theorem sum_fiber_center (htri : G.CliqueFree 3) {x : V} {J : Finset V}
18
+ (hJ : Admissible G x J) : ∑ S ∈ fiber G x J, (if x ∈ S then (1:ℝ) else 0) = 1 := by
19
+ rw [sum_fiber G htri hJ]
20
+ simp only [mem_insert_self, ite_true]
21
+ have hx : ∀ K ∈ (available G x J).powerset, x ∉ J ∪ K := by
22
+ intro K hK h
23
+ rcases mem_union.mp h with hx | hx
24
+ · exact admissible_not_center G hJ hx
25
+ · exact center_not_available G x J (mem_powerset.mp hK hx)
26
+ rw [sum_eq_zero (fun K hK => ite_eq_right (hx K hK)), add_zero]
27
+
28
+ theorem twice_sum_fiber_neighbors (htri : G.CliqueFree 3) {x : V} {J : Finset V}
29
+ (hJ : Admissible G x J) :
30
+ 2 * (∑ S ∈ fiber G x J, ((S ∩ G.neighborFinset x).card : ℝ)) =
31
+ (available G x J).card * (2:ℝ)^(available G x J).card := by
32
+ rw [sum_fiber G htri hJ, center_neighbor_inter G hJ, card_empty, Nat.cast_zero,
33
+ zero_add]
34
+ have he : ∑ K ∈ (available G x J).powerset,
35
+ (((J ∪ K) ∩ G.neighborFinset x).card : ℝ) =
36
+ ∑ K ∈ (available G x J).powerset, (K.card : ℝ) := by
37
+ apply sum_congr rfl
38
+ intro K hK
39
+ rw [extend_neighbor_inter G hJ (mem_powerset.mp hK)]
40
+ rw [he]
41
+ exact twice_sum_powerset_card (available G x J)
42
+
43
+ noncomputable def Z (x : V) (S : Finset V) : ℕ :=
44
+ (available G x (outside G x S)).card
45
+
46
+ theorem fiber_empty_of_not_admissible {x : V} {J : Finset V}
47
+ (hJ : ¬Admissible G x J) : fiber G x J = ∅ := by
48
+ apply eq_empty_iff_forall_notMem.mpr
49
+ intro S hS
50
+ obtain ⟨hS, hout⟩ := mem_filter.mp hS
51
+ exact hJ (hout ▸ admissible_outside G x hS)
52
+
53
+ theorem sum_fiber_Z (x : V) (J : Finset V) (f : ℕ → ℝ) :
54
+ ∑ S ∈ fiber G x J, f (Z G x S) = (fiber G x J).card * f (available G x J).card := by
55
+ calc
56
+ _ = ∑ _S ∈ fiber G x J, f (available G x J).card := by
57
+ apply sum_congr rfl
58
+ intro S hS
59
+ simp only [Z, (mem_filter.mp hS).2]
60
+ _ = _ := by simp
61
+
62
+ theorem exp_neg_log_two_mul (z : ℕ) :
63
+ Real.exp (-(Real.log 2) * z) = ((2:ℝ)^z)⁻¹ := by
64
+ rw [show -(Real.log 2) * z = -((z:ℝ) * Real.log 2) by ring,
65
+ Real.exp_neg, Real.exp_nat_mul, Real.exp_log (by norm_num)]
66
+
67
+ theorem half_sum_exp_le_center (htri : G.CliqueFree 3) (x : V) :
68
+ (∑ S ∈ independentSets G, Real.exp (-Real.log 2 * Z G x S)) / 2 ≤
69
+ ∑ S ∈ independentSets G, (if x ∈ S then (1:ℝ) else 0) := by
70
+ rw [← Finset.sum_fiberwise (independentSets G) (outside G x)
71
+ (fun S => Real.exp (-Real.log 2 * Z G x S)),
72
+ ← Finset.sum_fiberwise (independentSets G) (outside G x)
73
+ (fun S => if x ∈ S then (1:ℝ) else 0), sum_div]
74
+ apply sum_le_sum
75
+ intro J _
76
+ change (∑ S ∈ fiber G x J, _) / 2 ≤ ∑ S ∈ fiber G x J, _
77
+ by_cases hJ : Admissible G x J
78
+ · rw [sum_fiber_Z G x J (fun z => Real.exp (-Real.log 2 * z)),
79
+ card_fiber G htri hJ, sum_fiber_center G htri hJ, exp_neg_log_two_mul]
80
+ push_cast
81
+ have hp : (1:ℝ) ≤ 2^(available G x J).card := one_le_pow₀ (by norm_num)
82
+ have hpp : (0:ℝ) < 2^(available G x J).card := by positivity
83
+ field_simp
84
+ nlinarith
85
+ · rw [fiber_empty_of_not_admissible G hJ]
86
+ simp
87
+
88
+ theorem sum_Z_le_four_neighbors (htri : G.CliqueFree 3) (x : V) :
89
+ (∑ S ∈ independentSets G, (Z G x S : ℝ)) ≤
90
+ 4 * ∑ S ∈ independentSets G, ((S ∩ G.neighborFinset x).card : ℝ) := by
91
+ rw [← Finset.sum_fiberwise (independentSets G) (outside G x)
92
+ (fun S => (Z G x S : ℝ)),
93
+ ← Finset.sum_fiberwise (independentSets G) (outside G x)
94
+ (fun S => ((S ∩ G.neighborFinset x).card : ℝ)), mul_sum]
95
+ apply sum_le_sum
96
+ intro J _
97
+ change (∑ S ∈ fiber G x J, _) ≤ 4 * ∑ S ∈ fiber G x J, _
98
+ by_cases hJ : Admissible G x J
99
+ · rw [sum_fiber_Z G x J (fun z => (z:ℝ)), card_fiber G htri hJ]
100
+ have hn := twice_sum_fiber_neighbors G htri hJ
101
+ have hp : (1:ℝ) ≤ 2^(available G x J).card := one_le_pow₀ (by norm_num)
102
+ have hz : (0:ℝ) ≤ (available G x J).card := by positivity
103
+ push_cast
104
+ nlinarith
105
+ · rw [fiber_empty_of_not_admissible G hJ]
106
+ simp
107
+
108
+ theorem sum_center (S : Finset V) :
109
+ (∑ x : V, if x ∈ S then (1:ℝ) else 0) = S.card := by
110
+ simp
111
+
112
+ theorem sum_neighbors (S : Finset V) :
113
+ (∑ x : V, ((S ∩ G.neighborFinset x).card : ℝ)) =
114
+ ∑ v ∈ S, (G.degree v : ℝ) := by
115
+ calc
116
+ _ = ∑ x : V, ∑ v ∈ S, (if G.Adj x v then (1:ℝ) else 0) := by
117
+ apply sum_congr rfl
118
+ intro x _
119
+ rw [← sum_filter]
120
+ simp only [sum_const, nsmul_eq_mul, mul_one]
121
+ congr 2
122
+ ext v
123
+ simp []
124
+ _ = ∑ v ∈ S, ∑ x : V, (if G.Adj x v then (1:ℝ) else 0) := sum_comm
125
+ _ = _ := by
126
+ apply sum_congr rfl
127
+ intro v _
128
+ simp_rw [G.adj_comm]
129
+ rw [← sum_filter]
130
+ have he : univ.filter (G.Adj v) = G.neighborFinset v := by ext x; simp
131
+ rw [he]
132
+ simp
133
+
134
+ theorem exp_mean_le {α : Type*} (A : Finset α) (hA : A.Nonempty) (f : α → ℝ) :
135
+ Real.exp ((∑ i ∈ A, f i) / A.card) ≤ (∑ i ∈ A, Real.exp (f i)) / A.card := by
136
+ have hc : (0:ℝ) < A.card := by exact_mod_cast hA.card_pos
137
+ have hsum : ∑ _i ∈ A, ((A.card:ℝ)⁻¹) = 1 := by
138
+ simp [hc.ne']
139
+ have hj := convexOn_exp.map_sum_le (t := A) (w := fun _ => (A.card:ℝ)⁻¹)
140
+ (p := f) (fun _ _ => inv_nonneg.mpr hc.le) hsum (fun _ _ => Set.mem_univ _)
141
+ simp only [smul_eq_mul, ← mul_sum] at hj
142
+ simpa only [div_eq_mul_inv, mul_comm] using hj
143
+
144
+ theorem occupation_lower_bound {D μ : ℝ} (hD : 1 ≤ D) (hμ : 0 ≤ μ)
145
+ (hkey : Real.exp (-4 * D * μ * Real.log 2) ≤ 2 * μ) :
146
+ Real.log (D+1) / (8 * (D+1)) ≤ μ := by
147
+ by_contra! hbad
148
+ have hu : 0 < D + 1 := by linarith
149
+ have hlog : 0 < Real.log (D+1) := Real.log_pos (by linarith)
150
+ have hl2 : 0 < Real.log 2 := Real.log_pos (by norm_num)
151
+ have hl2' : Real.log 2 < 1 := by
152
+ convert Real.log_lt_sub_one_of_pos (x := (2:ℝ)) (by norm_num) (by norm_num) using 1 ; norm_num
153
+ have hb : 8 * (D+1) * μ < Real.log (D+1) := by
154
+ have := (lt_div_iff₀ (show 0 < 8*(D+1) by positivity)).mp hbad
155
+ nlinarith
156
+ have hDμ : 0 ≤ D * μ := mul_nonneg (by linarith) hμ
157
+ have he : -Real.log (D+1)/2 < -4 * D * μ * Real.log 2 := by
158
+ have hh := mul_le_mul_of_nonneg_left hl2'.le hDμ
159
+ nlinarith
160
+ have hlow : Real.exp (-Real.log (D+1)/2) < 2 * μ :=
161
+ (Real.exp_lt_exp.mpr he).trans_le hkey
162
+ have hid : (D+1) * Real.exp (-Real.log (D+1)/2) =
163
+ Real.exp (Real.log (D+1)/2) := by
164
+ conv_lhs => lhs; rw [← Real.exp_log hu]
165
+ rw [← Real.exp_add]
166
+ congr 1
167
+ ring
168
+ have hupper := Real.add_one_le_exp (Real.log (D+1)/2)
169
+ have hmul := mul_lt_mul_of_pos_left hlow (show 0 < 4*(D+1) by positivity)
170
+ nlinarith
171
+
172
+ theorem exists_occupation (htri : G.CliqueFree 3) [Nonempty V]
173
+ {D : ℝ} (hD : ∀ x, (G.degree x : ℝ) ≤ D) :
174
+ ∃ μ : ℝ, 0 ≤ μ ∧ (Fintype.card V : ℝ) * μ ≤ G.indepNum ∧
175
+ Real.exp (-4 * D * μ * Real.log 2) ≤ 2 * μ := by
176
+ let A := independentSets G
177
+ let Ω := (univ : Finset V) ×ˢ A
178
+ let M : ℝ := ∑ S ∈ A, (S.card : ℝ)
179
+ let m : ℝ := (Fintype.card V : ℝ) * A.card
180
+ have hn : (0:ℝ) < Fintype.card V := by exact_mod_cast Fintype.card_pos
181
+ have ha : (0:ℝ) < A.card := by exact_mod_cast (independentSets_nonempty G).card_pos
182
+ have hm : 0 < m := mul_pos hn ha
183
+ have hmcard : (Ω.card:ℝ) = m := by simp [Ω, m]
184
+ have hM : 0 ≤ M := sum_nonneg (fun _ _ => Nat.cast_nonneg _)
185
+ have he : (∑ a ∈ Ω, Real.exp (-Real.log 2 * Z G a.1 a.2)) ≤ 2*M := by
186
+ have hh := sum_le_sum (s := (univ : Finset V))
187
+ (fun x _ => half_sum_exp_le_center G htri x)
188
+ rw [← sum_div] at hh
189
+ have hcenter : (∑ x : V, ∑ S ∈ independentSets G,
190
+ (if x ∈ S then (1:ℝ) else 0)) = M := by
191
+ rw [sum_comm]
192
+ simp only [sum_center]
193
+ rfl
194
+ rw [hcenter] at hh
195
+ unfold Ω
196
+ rw [sum_product]
197
+ dsimp only
198
+ change (∑ x : V, ∑ S ∈ independentSets G, _) ≤ 2*M
199
+ linarith
200
+ have hz : (∑ a ∈ Ω, (Z G a.1 a.2 : ℝ)) ≤ 4*D*M := by
201
+ have hh := sum_le_sum (s := (univ : Finset V))
202
+ (fun x _ => sum_Z_le_four_neighbors G htri x)
203
+ rw [← mul_sum] at hh
204
+ have hneigh : (∑ x : V, ∑ S ∈ independentSets G,
205
+ ((S ∩ G.neighborFinset x).card:ℝ)) =
206
+ ∑ S ∈ independentSets G, ∑ v ∈ S, (G.degree v:ℝ) := by
207
+ rw [sum_comm]
208
+ simp_rw [sum_neighbors]
209
+ rw [hneigh] at hh
210
+ have hd : (∑ S ∈ independentSets G, ∑ v ∈ S, (G.degree v : ℝ)) ≤ D*M := by
211
+ calc
212
+ _ ≤ ∑ S ∈ independentSets G, ∑ _v ∈ S, D := by
213
+ apply sum_le_sum
214
+ intro S _
215
+ exact sum_le_sum (fun v _ => hD v)
216
+ _ = D*M := by simp [M, A, mul_sum, mul_comm]
217
+ unfold Ω
218
+ rw [sum_product]
219
+ dsimp only
220
+ change (∑ x : V, ∑ S ∈ independentSets G, _) ≤ 4*D*M
221
+ linarith
222
+ have hind : M ≤ (A.card:ℝ) * G.indepNum := by
223
+ calc
224
+ M ≤ ∑ _S ∈ A, (G.indepNum : ℝ) := by
225
+ apply sum_le_sum
226
+ intro S hS
227
+ exact_mod_cast (mem_independentSets G S |>.mp hS).card_le_indepNum
228
+ _ = _ := by simp
229
+ refine ⟨M/m, div_nonneg hM hm.le, ?_, ?_⟩
230
+ · rw [← mul_div_assoc]
231
+ apply (div_le_iff₀ hm).mpr
232
+ dsimp only [m]
233
+ nlinarith [mul_le_mul_of_nonneg_left hind hn.le]
234
+ · have hΩ : Ω.Nonempty := nonempty_product.mpr ⟨univ_nonempty, independentSets_nonempty G⟩
235
+ have hj := exp_mean_le Ω hΩ (fun a => -Real.log 2 * Z G a.1 a.2)
236
+ rw [hmcard, ← mul_sum] at hj
237
+ have hl : 0 ≤ Real.log 2 := (Real.log_pos (by norm_num : (1:ℝ)<2)).le
238
+ have hexp : Real.exp (-4*D*(M/m)*Real.log 2) ≤
239
+ Real.exp (-Real.log 2 * (∑ a ∈ Ω, (Z G a.1 a.2:ℝ)) / m) := by
240
+ apply Real.exp_le_exp.mpr
241
+ rw [show -4*D*(M/m)*Real.log 2 = (-4*D*M*Real.log 2)/m by ring]
242
+ apply (div_le_div_iff_of_pos_right hm).mpr
243
+ have hh := mul_le_mul_of_nonpos_left hz (neg_nonpos.mpr hl)
244
+ convert hh using 1 ; ring
245
+ have hfinal := hexp.trans hj
246
+ have hdiv := div_le_div_of_nonneg_right he hm.le
247
+ calc
248
+ _ ≤ (∑ a ∈ Ω, Real.exp (-Real.log 2 * Z G a.1 a.2))/m := hfinal
249
+ _ ≤ 2*M/m := hdiv
250
+ _ = 2*(M/m) := by ring
251
+
252
+ theorem indepNum_lower_bound (htri : G.CliqueFree 3) [Nonempty V]
253
+ {D : ℝ} (hD : 1 ≤ D) (hdeg : ∀ x, (G.degree x : ℝ) ≤ D) :
254
+ (Fintype.card V : ℝ) * Real.log (D+1) / (8*(D+1)) ≤ G.indepNum := by
255
+ obtain ⟨μ, hμ, hind, hkey⟩ := exists_occupation G htri hdeg
256
+ have hb := occupation_lower_bound hD hμ hkey
257
+ have hh := mul_le_mul_of_nonneg_left hb
258
+ (show (0:ℝ) ≤ Fintype.card V by positivity)
259
+ rw [← mul_div_assoc] at hh
260
+ exact hh.trans hind
261
+
262
+ end SharpLogRamsey.TriangleFree
263
+
264
+ open scoped BigOperators Classical
265
+ open Finset
266
+ namespace SharpLogRamsey.Sampling
267
+ variable {V : Type*} [Fintype V] [DecidableEq V]
268
+
269
+ variable (G : SimpleGraph V)
270
+
271
+ noncomputable def internalDegree (S : Finset V) (x : V) : ℕ :=
272
+ (S.filter (G.Adj x)).card
273
+
274
+ noncomputable def degreeMass (S : Finset V) : ℕ := ∑ x ∈ S, internalDegree G S x
275
+
276
+ theorem degreeMass_pair_sum (S : Finset V) :
277
+ (degreeMass G S : ℝ) = ∑ x : V, ∑ y : V,
278
+ if G.Adj x y then (if ({x,y} : Finset V) ⊆ S then 1 else 0) else 0 := by
279
+ have hi (x : V) : (∑ y : V,
280
+ if G.Adj x y then (if ({x,y} : Finset V) ⊆ S then (1:ℝ) else 0) else 0) =
281
+ if x ∈ S then (internalDegree G S x : ℝ) else 0 := by
282
+ by_cases hx : x ∈ S
283
+ · rw [ite_eq_left hx]
284
+ have he : S = univ.filter (· ∈ S) := by simp
285
+ change _ = ((S.filter (G.Adj x)).card : ℝ)
286
+ conv_rhs => rw [he]
287
+ rw [filter_filter, ← sum_boole]
288
+ apply sum_congr rfl
289
+ intro y _
290
+ simp only [insert_subset_iff, singleton_subset_iff, hx, true_and]
291
+ by_cases h : G.Adj x y <;> by_cases hy : y ∈ S <;> simp [h, hy]
292
+ · simp [insert_subset_iff, singleton_subset_iff, hx]
293
+ simp_rw [hi]
294
+ rw [← sum_filter]
295
+ simp [degreeMass, Nat.cast_sum]
296
+
297
+ theorem degreeMass_moment (p : ℝ) :
298
+ (∑ f : V → Bool, weight p f * degreeMass G (selected f)) =
299
+ p^2 * ∑ x : V, (G.degree x : ℝ) := by
300
+ simp_rw [degreeMass_pair_sum, mul_sum]
301
+ rw [sum_comm]
302
+ calc
303
+ _ = ∑ x : V, ∑ y : V, if G.Adj x y then p^2 else 0 := by
304
+ apply sum_congr rfl
305
+ intro x _
306
+ rw [sum_comm]
307
+ apply sum_congr rfl
308
+ intro y _
309
+ by_cases h : G.Adj x y
310
+ · simp only [ite_eq_left h]
311
+ rw [containment_moment]
312
+ simp [h.ne]
313
+ · simp [h]
314
+ _ = p^2 * ∑ x : V, (G.degree x : ℝ) := by
315
+ rw [mul_sum]
316
+ apply sum_congr rfl
317
+ intro x _
318
+ rw [← sum_filter]
319
+ simp [← G.card_neighborFinset_eq_degree, SimpleGraph.neighborFinset_def,
320
+ mul_comm]
321
+ _ = _ := by simp [mul_sum]
322
+
323
+ omit [Fintype V] in
324
+
325
+ theorem exists_avoid_family (F : Finset (Finset V))
326
+ (hF : ∀ A ∈ F, A.Nonempty) (S : Finset V) :
327
+ ∃ U ⊆ S, S.card ≤ U.card + F.card ∧ ∀ A ∈ F, ¬ A ⊆ U := by
328
+ induction F using Finset.induction_on generalizing S with
329
+ | empty => exact ⟨S, Subset.rfl, by simp, by simp⟩
330
+ | @insert A F hAF ih =>
331
+ obtain ⟨U, hUS, hUcard, hU⟩ := ih (fun B hB => hF B (mem_insert_of_mem hB)) S
332
+ by_cases hAU : A ⊆ U
333
+ · obtain ⟨x, hx⟩ := hF A (mem_insert_self A F)
334
+ refine ⟨U.erase x, (erase_subset x U).trans hUS, ?_, ?_⟩
335
+ · have he := card_erase_of_mem (hAU hx)
336
+ rw [card_insert_of_notMem hAF]
337
+ omega
338
+ · intro B hB hBU
339
+ rcases mem_insert.mp hB with rfl | hB
340
+ · exact (notMem_erase x U) (hBU hx)
341
+ · exact hU B hB (hBU.trans (erase_subset x U))
342
+ · refine ⟨U, hUS, ?_, ?_⟩
343
+ · rw [card_insert_of_notMem hAF]
344
+ omega
345
+ · intro B hB hBU
346
+ rcases mem_insert.mp hB with rfl | hB
347
+ · exact hAU hBU
348
+ · exact hU B hB hBU
349
+
350
+ theorem prune (S : Finset V) {D : ℝ} (hD : 0 < D) :
351
+ ∃ U ⊆ S,
352
+ (S.card : ℝ) - degreeMass G S / D - count (G.cliqueFinset 3) S ≤ U.card ∧
353
+ (∀ x ∈ U, (internalDegree G U x : ℝ) ≤ D) ∧
354
+ (G.induce (U : Set V)).CliqueFree 3 := by
355
+ let bad := S.filter (fun x => D < (internalDegree G S x : ℝ))
356
+ have hbad : (bad.card : ℝ) ≤ degreeMass G S / D := by
357
+ apply (le_div_iff₀ hD).mpr
358
+ calc
359
+ (bad.card : ℝ) * D = ∑ _x ∈ bad, D := by simp
360
+ _ ≤ ∑ x ∈ bad, (internalDegree G S x : ℝ) := by
361
+ exact sum_le_sum (fun x hx => (mem_filter.mp hx).2.le)
362
+ _ ≤ ∑ x ∈ S, (internalDegree G S x : ℝ) :=
363
+ sum_le_sum_of_subset_of_nonneg (filter_subset _ _) (by intros; positivity)
364
+ _ = degreeMass G S := by simp [degreeMass, Nat.cast_sum]
365
+ let T := S \ bad
366
+ let F := (G.cliqueFinset 3).filter (· ⊆ S)
367
+ have hF : ∀ A ∈ F, A.Nonempty := by
368
+ intro A hA
369
+ have ha := (SimpleGraph.mem_cliqueFinset_iff.mp (mem_filter.mp hA).1).2
370
+ exact card_pos.mp (by omega)
371
+ obtain ⟨U, hUT, hcard, havoid⟩ := exists_avoid_family F hF T
372
+ have hUS : U ⊆ S := hUT.trans sdiff_subset
373
+ refine ⟨U, hUS, ?_, ?_, ?_⟩
374
+ · have hc : (S.card : ℝ) ≤ T.card + bad.card := by
375
+ exact_mod_cast card_le_card_sdiff_add_card
376
+ have hu : (T.card : ℝ) ≤ U.card + F.card := by exact_mod_cast hcard
377
+ change (S.card : ℝ) - degreeMass G S / D - F.card ≤ _
378
+ linarith
379
+ · intro x hx
380
+ have hxT := mem_sdiff.mp (hUT hx)
381
+ have hd : (internalDegree G S x : ℝ) ≤ D := by
382
+ by_contra! hh
383
+ exact hxT.2 (mem_filter.mpr ⟨hxT.1, hh⟩)
384
+ exact (Nat.cast_le.mpr (card_le_card (filter_subset_filter _ hUS))).trans hd
385
+ · rw [G.cliqueFree_induce_iff]
386
+ intro A hAU hA
387
+ have hAF : A ∈ F := mem_filter.mpr
388
+ ⟨SimpleGraph.mem_cliqueFinset_iff.mpr hA, (show A ⊆ U from hAU).trans hUS⟩
389
+ exact havoid A hAF hAU
390
+
391
+ omit [Fintype V] [DecidableEq V] in
392
+ theorem induced_degree (U : Finset V) (x : (U : Set V)) :
393
+ (G.induce (U : Set V)).degree x = internalDegree G U x := by
394
+ rw [← SimpleGraph.card_neighborSet_eq_degree]
395
+ let e : ((G.induce (U : Set V)).neighborSet x) ≃
396
+ {y : V // y ∈ U.filter (G.Adj x)} :=
397
+ { toFun := fun y => ⟨y.1, mem_filter.mpr ⟨y.1.2, y.2⟩⟩
398
+ invFun := fun y => ⟨⟨y.1, (mem_filter.mp y.2).1⟩, (mem_filter.mp y.2).2⟩
399
+ left_inv := by intro y; rfl
400
+ right_inv := by intro y; rfl }
401
+ exact (Fintype.card_congr e).trans (Fintype.card_coe (U.filter (G.Adj x)))
402
+
403
+ theorem sample_prune {p D : ℝ} (hp : 0 ≤ p) (hp1 : p ≤ 1) (hD : 0 < D) :
404
+ ∃ U : Finset V,
405
+ p * Fintype.card V - p^2 * (∑ x, (G.degree x : ℝ)) / D -
406
+ p^3 * (G.cliqueFinset 3).card ≤ U.card ∧
407
+ (∀ x : (U : Set V), ((G.induce (U : Set V)).degree x : ℝ) ≤ D) ∧
408
+ (G.induce (U : Set V)).CliqueFree 3 := by
409
+ let X (f : V → Bool) : ℝ := (selected f).card -
410
+ degreeMass G (selected f) / D - count (G.cliqueFinset 3) (selected f)
411
+ have hmean : (∑ f, weight p f * X f) =
412
+ p * Fintype.card V - p^2 * (∑ x, (G.degree x : ℝ)) / D -
413
+ p^3 * (G.cliqueFinset 3).card := by
414
+ simp only [X, mul_sub, ← mul_div_assoc, sum_sub_distrib, ← sum_div]
415
+ rw [size_moment, degreeMass_moment, family_moment]
416
+ intro A hA
417
+ exact (SimpleGraph.mem_cliqueFinset_iff.mp hA).2
418
+ obtain ⟨f, hf⟩ := exists_ge_mean hp hp1 X
419
+ rw [hmean] at hf
420
+ obtain ⟨U, _hUS, hU, hdeg, htri⟩ := prune G (selected f) hD
421
+ refine ⟨U, hf.trans hU, ?_, htri⟩
422
+ intro x
423
+ rw [induced_degree]
424
+ exact hdeg x x.2
425
+
426
+ theorem triangle_count_le {h m : ℕ} (hdeg : ∀ x, G.degree x ≤ h)
427
+ (hcommon : ∀ x y, G.Adj x y → Fintype.card (G.commonNeighbors x y) ≤ m) :
428
+ (G.cliqueFinset 3).card ≤ Fintype.card V * h * m := by
429
+ let T := Σ x : V, Σ y : G.neighborSet x, G.commonNeighbors x y
430
+ have hex (A : {A // A ∈ G.cliqueFinset 3}) :
431
+ ∃ t : T, A.1 = {t.1, t.2.1.1, t.2.2.1} := by
432
+ obtain ⟨x,y,z,hxy,hxz,hyz,hA⟩ := SimpleGraph.is3Clique_iff.mp
433
+ (SimpleGraph.mem_cliqueFinset_iff.mp A.2)
434
+ exact ⟨⟨x, ⟨y,hxy⟩, ⟨z,hxz,hyz⟩⟩, hA⟩
435
+ choose f hf using hex
436
+ have hinj : Function.Injective f := by
437
+ intro A B hAB
438
+ apply Subtype.ext
439
+ rw [hf A, hf B, hAB]
440
+ calc
441
+ (G.cliqueFinset 3).card = Fintype.card {A // A ∈ G.cliqueFinset 3} := (Fintype.card_coe _).symm
442
+ _ ≤ Fintype.card T := Fintype.card_le_of_injective f hinj
443
+ _ = ∑ x : V, ∑ y : G.neighborSet x, Fintype.card (G.commonNeighbors x y) := by
444
+ simp [T, Fintype.card_sigma]
445
+ _ ≤ ∑ x : V, ∑ _y : G.neighborSet x, m := by
446
+ exact sum_le_sum (fun x _ => sum_le_sum (fun y _ => hcommon x y y.2))
447
+ _ ≤ ∑ _x : V, h*m := by
448
+ apply sum_le_sum
449
+ intro x _
450
+ simpa [G.card_neighborSet_eq_degree] using Nat.mul_le_mul_right m (hdeg x)
451
+ _ = Fintype.card V * h * m := by simp [mul_assoc]
452
+
453
+ end SharpLogRamsey.Sampling
454
+
455
+ open scoped BigOperators
456
+ namespace SharpLogRamsey.Upper
457
+
458
+ end SharpLogRamsey.Upper
459
+ end
460
+
461
+ end OAI
lean/OAI/Combinatorics/SharpRamsey/Bounds/Upper.lean ADDED
@@ -0,0 +1,452 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ import Mathlib
2
+ import OAI.Combinatorics.SharpRamsey.Model
3
+ import OAI.Combinatorics.SharpRamsey.Geometry.SpanPairLine
4
+
5
+ namespace OAI
6
+
7
+ /-! The off-diagonal Ramsey upper bound. -/
8
+
9
+ section
10
+ open scoped BigOperators Classical
11
+ open Finset
12
+ namespace SharpLogRamsey
13
+
14
+ namespace Foundation
15
+ variable {V : Type*} [Fintype V] [DecidableEq V] (G : SimpleGraph V)
16
+
17
+ omit [Fintype V] [DecidableEq V] in
18
+ theorem indepNum_lt_of_cliqueFree_compl {t : ℕ} (ht : Gᶜ.CliqueFree t) :
19
+ G.indepNum < t := by
20
+ by_contra! h
21
+ obtain ⟨A, hA⟩ := G.exists_isNIndepSet_indepNum
22
+ exact (ht.mono h) A (G.isNClique_compl.mpr hA)
23
+
24
+ omit [DecidableEq V] in
25
+ theorem maximum_indep_dominates {A : Finset V} (hA : G.IsMaximumIndepSet A)
26
+ (x : V) : x ∈ A ∨ ∃ y ∈ A, G.Adj x y := by
27
+ by_contra! hn
28
+ have hi : G.IsIndepSet ((insert x A : Finset V) : Set V) := by
29
+ intro u hu v hv huv
30
+ simp only [mem_coe, mem_insert] at hu hv
31
+ rcases hu with rfl | hu <;> rcases hv with rfl | hv
32
+ · simp
33
+ · exact hn.2 v hv
34
+ · exact fun h => hn.2 u hu h.symm
35
+ · exact hA.1 hu hv huv
36
+ have hc := hA.2 (insert x A) hi
37
+ rw [card_insert_of_notMem hn.1] at hc
38
+ omega
39
+
40
+ theorem card_le_mul_indepNum {B : ℕ} (hdeg : ∀ x, G.degree x + 1 ≤ B) :
41
+ Fintype.card V ≤ B * G.indepNum := by
42
+ obtain ⟨A, hA⟩ := G.maximumIndepSet_exists
43
+ have hcover : (univ : Finset V) ⊆ A.biUnion (fun x => insert x (G.neighborFinset x)) := by
44
+ intro v _
45
+ obtain hv | ⟨x, hx, hadj⟩ := maximum_indep_dominates G hA v
46
+ · exact mem_biUnion.mpr ⟨v, hv, by simp⟩
47
+ · exact mem_biUnion.mpr ⟨x, hx, by simp [hadj.symm]⟩
48
+ calc
49
+ Fintype.card V = (univ : Finset V).card := (card_univ).symm
50
+ _ ≤ (A.biUnion (fun x => insert x (G.neighborFinset x))).card := card_le_card hcover
51
+ _ ≤ ∑ x ∈ A, (insert x (G.neighborFinset x)).card := card_biUnion_le
52
+ _ ≤ ∑ _x ∈ A, B := by
53
+ apply sum_le_sum
54
+ intro x _
55
+ simpa using hdeg x
56
+ _ = B * G.indepNum := by
57
+ simp [G.maximumIndepSet_card_eq_indepNum A hA, mul_comm]
58
+
59
+ omit [Fintype V] [DecidableEq V] in
60
+ theorem cliqueFree_neighbor {s : ℕ} (hs : G.CliqueFree (s+1)) (x : V) :
61
+ (G.induce (G.neighborSet x)).CliqueFree s := by
62
+ rw [G.cliqueFree_induce_iff]
63
+ have hc : G.CliqueFreeOn Set.univ (s+1) := (G.cliqueFreeOn_univ).mpr hs
64
+ simpa using SimpleGraph.CliqueFreeOn.of_succ G hc (a := x) (Set.mem_univ x)
65
+
66
+ omit [Fintype V] [DecidableEq V] in
67
+ theorem cliqueFree_induce {s : ℕ} (hs : G.CliqueFree s) (U : Set V) :
68
+ (G.induce U).CliqueFree s := by
69
+ rw [G.cliqueFree_induce_iff]
70
+ intro A _ hA
71
+ exact hs A hA
72
+ omit [Fintype V] [DecidableEq V] in
73
+
74
+ theorem compl_cliqueFree_induce {t : ℕ} (ht : Gᶜ.CliqueFree t) (U : Set V) :
75
+ (G.induce U)ᶜ.CliqueFree t := by
76
+ have he : (G.induce U)ᶜ = Gᶜ.induce U := by ext u v; simp [Subtype.val_inj]
77
+ rw [he]
78
+ exact cliqueFree_induce Gᶜ ht U
79
+
80
+ theorem order_avoiding_lt_pow (n : ℕ) {t : ℕ} (ht : 1 ≤ t) :
81
+ ∀ {V : Type*} [Fintype V] [DecidableEq V] (G : SimpleGraph V),
82
+ G.CliqueFree (n+2) → Gᶜ.CliqueFree t → Fintype.card V < t^(n+1) := by
83
+ induction n with
84
+ | zero =>
85
+ intro V _ _ G hs hi
86
+ have hg : G = ⊥ := G.cliqueFree_two.mp hs
87
+ have hn := card_le_mul_indepNum G (B := 1) (by intro x; simp [hg])
88
+ have hh := indepNum_lt_of_cliqueFree_compl G hi
89
+ simpa using hn.trans_lt (by simpa using hh)
90
+ | succ n ih =>
91
+ intro V _ _ G hs hi
92
+ have hd : ∀ x, G.degree x + 1 ≤ t^(n+1) := by
93
+ intro x
94
+ have hc := cliqueFree_neighbor G (s := n+2) (by simpa [Nat.add_assoc] using hs) x
95
+ have hci := compl_cliqueFree_induce G hi (G.neighborSet x)
96
+ have hh := ih (G.induce (G.neighborSet x)) hc hci
97
+ rw [G.card_neighborSet_eq_degree] at hh
98
+ omega
99
+ have hn := card_le_mul_indepNum G hd
100
+ have hi' := indepNum_lt_of_cliqueFree_compl G hi
101
+ have hp : 0 < t^(n+1) := pow_pos (by omega) _
102
+ have hm := Nat.mul_lt_mul_of_pos_left hi' hp
103
+ calc
104
+ Fintype.card V ≤ t^(n+1) * G.indepNum := hn
105
+ _ < t^(n+1) * t := hm
106
+ _ = t^(n+1+1) := (pow_succ _ _).symm
107
+
108
+ theorem ramseyProperty_pow (n : ℕ) {t : ℕ} (ht : 1 ≤ t) :
109
+ RamseyProperty (n+2) t (t^(n+1)) := by
110
+ intro G
111
+ by_cases hs : G.CliqueFree (n+2)
112
+ · right
113
+ by_contra! hi
114
+ have hh := order_avoiding_lt_pow n ht G hs hi
115
+ simp at hh
116
+ · left
117
+ simpa only [SimpleGraph.CliqueFree, not_forall, not_not] using hs
118
+
119
+ theorem ramseyProperty_nonempty {s t : ℕ} (hs : 2 ≤ s) (ht : 1 ≤ t) :
120
+ {N | RamseyProperty s t N}.Nonempty := by
121
+ obtain ⟨n, rfl⟩ := Nat.exists_eq_add_of_le hs
122
+ exact ⟨t^(n+1), by simpa [Nat.add_comm] using ramseyProperty_pow n ht⟩
123
+
124
+ theorem ramsey_has_property {s t : ℕ} (hs : 2 ≤ s) (ht : 1 ≤ t) :
125
+ RamseyProperty s t (ramsey s t) := Nat.sInf_mem (ramseyProperty_nonempty hs ht)
126
+
127
+ omit [Fintype V] [DecidableEq V] in
128
+ theorem clique_map_embedding {U : Type*} (f : U ↪ V) {n : ℕ} {A : Finset U}
129
+ (hA : (G.comap f).IsNClique n A) : G.IsNClique n (A.map f) := by
130
+ constructor
131
+ · intro u hu v hv huv
132
+ obtain ⟨a, ha, rfl⟩ := mem_map.mp hu
133
+ obtain ⟨b, hb, rfl⟩ := mem_map.mp hv
134
+ exact hA.1 ha hb (fun h => huv (congrArg f h))
135
+ · simpa using hA.2
136
+
137
+ omit [Fintype V] [DecidableEq V] in
138
+ theorem compl_comap_embedding {U : Type*} (f : U ↪ V) :
139
+ (G.comap f)ᶜ = Gᶜ.comap f := by
140
+ ext u v
141
+ simp [SimpleGraph.comap_adj, f.injective.eq_iff]
142
+
143
+ omit [DecidableEq V] in
144
+ theorem property_for_finite_type {s t N : ℕ} (hN : RamseyProperty s t N)
145
+ (hcard : N ≤ Fintype.card V) :
146
+ (∃ A, G.IsNClique s A) ∨ (∃ B, Gᶜ.IsNClique t B) := by
147
+ obtain ⟨f⟩ := Function.Embedding.nonempty_of_card_le
148
+ (α := Fin N) (β := V) (by simpa using hcard)
149
+ obtain ⟨A, hA⟩ | ⟨B, hB⟩ := hN (G.comap f)
150
+ · exact Or.inl ⟨A.map f, clique_map_embedding G f hA⟩
151
+ · rw [compl_comap_embedding G f] at hB
152
+ exact Or.inr ⟨B.map f, clique_map_embedding Gᶜ f hB⟩
153
+ omit [DecidableEq V] in
154
+
155
+ theorem order_lt_ramsey {s t : ℕ} (hs : 2 ≤ s) (ht : 1 ≤ t)
156
+ (hGs : G.CliqueFree s) (hGt : Gᶜ.CliqueFree t) :
157
+ Fintype.card V < ramsey s t := by
158
+ by_contra! h
159
+ obtain ⟨A, hA⟩ | ⟨B, hB⟩ := property_for_finite_type G (ramsey_has_property hs ht) h
160
+ · exact hGs A hA
161
+ · exact hGt B hB
162
+
163
+ theorem ramsey_le_of_property {s t N : ℕ} (hN : RamseyProperty s t N) :
164
+ ramsey s t ≤ N := Nat.sInf_le hN
165
+
166
+ theorem property_mono {s t N M : ℕ} (hN : RamseyProperty s t N) (hNM : N ≤ M) :
167
+ RamseyProperty s t M := by
168
+ intro G
169
+ exact property_for_finite_type G hN (by simpa using hNM)
170
+
171
+ theorem ramsey_le_pow {s t : ℕ} (hs : 2 ≤ s) (ht : 1 ≤ t) :
172
+ ramsey s t ≤ t^(s-1) := by
173
+ obtain ⟨n, rfl⟩ := Nat.exists_eq_add_of_le hs
174
+ have hh := ramsey_le_of_property (ramseyProperty_pow n ht)
175
+ simpa [Nat.add_comm] using hh
176
+
177
+ theorem le_ramsey {s t : ℕ} (hs : 2 ≤ s) (ht : 1 ≤ t) : t ≤ ramsey s t := by
178
+ obtain ⟨A,hA⟩ | ⟨B,hB⟩ := ramsey_has_property hs ht (⊥ : SimpleGraph (Fin (ramsey s t)))
179
+ · exact False.elim ((SimpleGraph.cliqueFree_bot (by omega : 1 < s)) A hA)
180
+ · have hb := card_le_card (subset_univ B)
181
+ simpa [hB.2] using hb
182
+
183
+ theorem ramsey_two {t : ℕ} (ht : 1 ≤ t) : ramsey 2 t = t := by
184
+ apply Nat.le_antisymm
185
+ · simpa using ramsey_le_pow (s := 2) (by omega) ht
186
+ · exact le_ramsey (by omega) ht
187
+
188
+ omit [Fintype V] [DecidableEq V] in
189
+ theorem cliqueFree_common {s : ℕ} (hs : G.CliqueFree (s+2))
190
+ {x y : V} (hxy : G.Adj x y) :
191
+ (G.induce (G.commonNeighbors x y)).CliqueFree s := by
192
+ rw [G.cliqueFree_induce_iff]
193
+ have hc : G.CliqueFreeOn Set.univ (s+2) := (G.cliqueFreeOn_univ).mpr hs
194
+ have hn : G.CliqueFreeOn (G.neighborSet x) (s+1) := by
195
+ simpa using SimpleGraph.CliqueFreeOn.of_succ G hc (a := x) (Set.mem_univ x)
196
+ exact SimpleGraph.CliqueFreeOn.of_succ G hn hxy
197
+
198
+ theorem exists_avoiding_pred {s t : ℕ} (hs : 2 ≤ s) (ht : 2 ≤ t) :
199
+ ∃ G : SimpleGraph (Fin (ramsey s t - 1)), G.CliqueFree s ∧ Gᶜ.CliqueFree t := by
200
+ have hr : 2 ≤ ramsey s t := ht.trans (le_ramsey hs (by omega))
201
+ have hn : ¬ RamseyProperty s t (ramsey s t - 1) := by
202
+ intro h
203
+ have hh := ramsey_le_of_property h
204
+ omega
205
+ simp only [RamseyProperty, not_forall, not_or, not_exists] at hn
206
+ exact hn
207
+
208
+ end Foundation
209
+ end SharpLogRamsey
210
+
211
+ open scoped BigOperators Classical
212
+ open Finset
213
+ namespace SharpLogRamsey.TriangleFree
214
+ variable {V : Type*} [Fintype V] [DecidableEq V]
215
+ variable (G : SimpleGraph V)
216
+
217
+ noncomputable def independentSets : Finset (Finset V) :=
218
+ univ.filter (fun S => G.IsIndepSet (S : Set V))
219
+
220
+ @[simp] theorem mem_independentSets (S : Finset V) :
221
+ S ∈ independentSets G ↔ G.IsIndepSet (S : Set V) := by
222
+ simp [independentSets]
223
+
224
+ theorem independentSets_nonempty : (independentSets G).Nonempty := by
225
+ refine ⟨∅, ?_⟩
226
+ simp [SimpleGraph.IsIndepSet]
227
+
228
+ noncomputable def closed (x : V) : Finset V := insert x (G.neighborFinset x)
229
+ noncomputable def outside (x : V) (S : Finset V) : Finset V := S \ closed G x
230
+ noncomputable def available (x : V) (J : Finset V) : Finset V :=
231
+ (G.neighborFinset x).filter (fun u => ∀ v ∈ J, ¬G.Adj u v)
232
+ noncomputable def fiber (x : V) (J : Finset V) : Finset (Finset V) :=
233
+ (independentSets G).filter (fun S => outside G x S = J)
234
+
235
+ def Admissible (x : V) (J : Finset V) : Prop :=
236
+ G.IsIndepSet (J : Set V) ∧ Disjoint J (closed G x)
237
+
238
+ @[simp] theorem mem_closed (x u : V) : u ∈ closed G x ↔ u = x ∨ G.Adj x u := by
239
+ simp [closed]
240
+ @[simp] theorem mem_outside (x u : V) (S : Finset V) :
241
+ u ∈ outside G x S ↔ u ∈ S ∧ u ≠ x ∧ ¬G.Adj x u := by
242
+ simp [outside]
243
+ @[simp] theorem mem_available (x u : V) (J : Finset V) :
244
+ u ∈ available G x J ↔ G.Adj x u ∧ ∀ v ∈ J, ¬G.Adj u v := by
245
+ simp [available]
246
+
247
+ @[simp] theorem center_not_available (x : V) (J : Finset V) : x ∉ available G x J := by
248
+ simp
249
+
250
+ theorem admissible_outside (x : V) {S : Finset V}
251
+ (hS : S ∈ independentSets G) : Admissible G x (outside G x S) := by
252
+ constructor
253
+ · exact (mem_independentSets G S |>.mp hS).mono (by
254
+ intro u hu; exact (mem_outside G x u S |>.mp hu).1)
255
+ · exact disjoint_left.mpr (fun u hu hc => (Finset.mem_sdiff.mp hu).2 hc)
256
+
257
+ theorem admissible_not_center {x : V} {J : Finset V}
258
+ (hJ : Admissible G x J) : x ∉ J := by
259
+ intro hx
260
+ exact disjoint_left.mp hJ.2 hx (by simp)
261
+
262
+ theorem admissible_not_adj {x u : V} {J : Finset V}
263
+ (hJ : Admissible G x J) (hu : u ∈ J) : ¬G.Adj x u := by
264
+ intro h
265
+ exact disjoint_left.mp hJ.2 hu (by simp [h])
266
+
267
+ theorem available_disjoint {x : V} {J : Finset V}
268
+ (hJ : Admissible G x J) : Disjoint J (available G x J) := by
269
+ apply disjoint_left.mpr
270
+ intro u hJ' hu
271
+ exact admissible_not_adj G hJ hJ' (mem_available G x u J |>.mp hu).1
272
+
273
+ theorem independent_insert_center {x : V} {J : Finset V}
274
+ (hJ : Admissible G x J) : G.IsIndepSet ((insert x J : Finset V) : Set V) := by
275
+ intro u hu v hv huv
276
+ simp only [mem_coe, mem_insert] at hu hv
277
+ rcases hu with rfl | hu
278
+ · rcases hv with rfl | hv
279
+ · simp
280
+ · exact admissible_not_adj G hJ hv
281
+ · rcases hv with rfl | hv
282
+ · exact fun h => admissible_not_adj G hJ hu h.symm
283
+ · exact hJ.1 hu hv huv
284
+
285
+ theorem independent_extend (htri : G.CliqueFree 3) {x : V} {J K : Finset V}
286
+ (hJ : Admissible G x J) (hK : K ⊆ available G x J) :
287
+ G.IsIndepSet ((J ∪ K : Finset V) : Set V) := by
288
+ intro u hu v hv huv
289
+ simp only [mem_coe, mem_union] at hu hv
290
+ rcases hu with hu | hu <;> rcases hv with hv | hv
291
+ · exact hJ.1 hu hv huv
292
+ · exact fun h => (mem_available G x v J |>.mp (hK hv)).2 u hu h.symm
293
+ · exact (mem_available G x u J |>.mp (hK hu)).2 v hv
294
+ · exact (G.isIndepSet_neighborSet_of_triangleFree htri x)
295
+ (mem_available G x u J |>.mp (hK hu)).1
296
+ (mem_available G x v J |>.mp (hK hv)).1 huv
297
+
298
+ theorem outside_insert_center {x : V} {J : Finset V}
299
+ (hJ : Admissible G x J) : outside G x (insert x J) = J := by
300
+ ext u
301
+ simp only [mem_outside, mem_insert]
302
+ constructor
303
+ · rintro ⟨h, hne, _⟩
304
+ exact h.resolve_left hne
305
+ · intro hu
306
+ exact ⟨Or.inr hu, fun h => admissible_not_center G hJ (h ▸ hu),
307
+ admissible_not_adj G hJ hu⟩
308
+
309
+ theorem outside_extend {x : V} {J K : Finset V}
310
+ (hJ : Admissible G x J) (hK : K ⊆ available G x J) :
311
+ outside G x (J ∪ K) = J := by
312
+ ext u
313
+ simp only [mem_outside, mem_union]
314
+ constructor
315
+ · rintro ⟨hu | hu, _, hna⟩
316
+ · exact hu
317
+ · exact False.elim (hna (mem_available G x u J |>.mp (hK hu)).1)
318
+ · intro hu
319
+ exact ⟨Or.inl hu, fun h => admissible_not_center G hJ (h ▸ hu),
320
+ admissible_not_adj G hJ hu⟩
321
+
322
+ theorem fiber_eq (htri : G.CliqueFree 3) {x : V} {J : Finset V}
323
+ (hJ : Admissible G x J) :
324
+ fiber G x J = insert (insert x J)
325
+ ((available G x J).powerset.image (fun K => J ∪ K)) := by
326
+ ext S
327
+ simp only [fiber, mem_filter, mem_independentSets, mem_insert, mem_image,
328
+ mem_powerset]
329
+ constructor
330
+ · rintro ⟨hS, hout⟩
331
+ by_cases hx : x ∈ S
332
+ · left
333
+ ext u
334
+ simp only [mem_insert]
335
+ constructor
336
+ · intro hu
337
+ by_cases hux : u = x
338
+ · exact Or.inl hux
339
+ · right
340
+ rw [← hout, mem_outside]
341
+ exact ⟨hu, hux, hS hx hu (Ne.symm hux)⟩
342
+ · rintro (rfl | hu)
343
+ · exact hx
344
+ · rw [← hout, mem_outside] at hu
345
+ exact hu.1
346
+ · right
347
+ refine ⟨S ∩ G.neighborFinset x, ?_, ?_⟩
348
+ · intro u hu
349
+ simp only [mem_inter, SimpleGraph.mem_neighborFinset] at hu
350
+ apply (mem_available G x u J).mpr
351
+ refine ⟨hu.2, ?_⟩
352
+ intro v hv hadj
353
+ have hvS : v ∈ S := by rw [← hout, mem_outside] at hv; exact hv.1
354
+ exact hS hu.1 hvS hadj.ne hadj
355
+ · ext u
356
+ simp only [mem_union, mem_inter, SimpleGraph.mem_neighborFinset]
357
+ constructor
358
+ · rintro (hu | hu)
359
+ · rw [← hout, mem_outside] at hu; exact hu.1
360
+ · exact hu.1
361
+ · intro hu
362
+ by_cases hax : G.Adj x u
363
+ · exact Or.inr ⟨hu, hax⟩
364
+ · left
365
+ rw [← hout, mem_outside]
366
+ exact ⟨hu, fun h => hx (h ▸ hu), hax⟩
367
+ · rintro (rfl | ⟨K, hK, rfl⟩)
368
+ · exact ⟨independent_insert_center G hJ, outside_insert_center G hJ⟩
369
+ · exact ⟨independent_extend G htri hJ hK, outside_extend G hJ hK⟩
370
+
371
+ theorem extend_injective {x : V} {J : Finset V} (hJ : Admissible G x J) :
372
+ Set.InjOn (fun K => J ∪ K) ((available G x J).powerset : Set (Finset V)) := by
373
+ intro K hK L hL heq
374
+ have hdK : Disjoint J K := (available_disjoint G hJ).mono_right (mem_powerset.mp hK)
375
+ have hdL : Disjoint J L := (available_disjoint G hJ).mono_right (mem_powerset.mp hL)
376
+ simpa [union_sdiff_cancel_left hdK, union_sdiff_cancel_left hdL] using
377
+ congrArg (fun S => S \ J) heq
378
+
379
+ theorem center_choice_not_image {x : V} {J : Finset V} (hJ : Admissible G x J) :
380
+ insert x J ∉ (available G x J).powerset.image (fun K => J ∪ K) := by
381
+ rintro h
382
+ obtain ⟨K, hK, heq⟩ := mem_image.mp h
383
+ have hx : x ∈ J ∪ K := heq ▸ mem_insert_self x J
384
+ rcases mem_union.mp hx with hx | hx
385
+ · exact admissible_not_center G hJ hx
386
+ · exact center_not_available G x J (mem_powerset.mp hK hx)
387
+
388
+ theorem card_fiber (htri : G.CliqueFree 3) {x : V} {J : Finset V}
389
+ (hJ : Admissible G x J) : (fiber G x J).card = 1 + 2^(available G x J).card := by
390
+ rw [fiber_eq G htri hJ, card_insert_of_notMem (center_choice_not_image G hJ),
391
+ card_image_of_injOn (extend_injective G hJ), card_powerset]
392
+ omega
393
+
394
+ theorem sum_fiber (htri : G.CliqueFree 3) {x : V} {J : Finset V}
395
+ (hJ : Admissible G x J) (f : Finset V → ℝ) :
396
+ ∑ S ∈ fiber G x J, f S = f (insert x J) +
397
+ ∑ K ∈ (available G x J).powerset, f (J ∪ K) := by
398
+ rw [fiber_eq G htri hJ, sum_insert (center_choice_not_image G hJ),
399
+ sum_image (extend_injective G hJ)]
400
+
401
+ omit [Fintype V] in
402
+
403
+ theorem twice_sum_powerset_card (A : Finset V) :
404
+ 2 * (∑ K ∈ A.powerset, (K.card : ℝ)) = A.card * (2:ℝ)^A.card := by
405
+ have hc : ∑ K ∈ A.powerset, ((A \ K).card : ℝ) =
406
+ ∑ K ∈ A.powerset, (K.card : ℝ) := by
407
+ apply sum_bij (fun K _ => A \ K)
408
+ · intro K _; exact mem_powerset.mpr sdiff_subset
409
+ · intro K hK L hL heq
410
+ have := congrArg (fun X => A \ X) heq
411
+ simpa [Finset.sdiff_sdiff_eq_self (mem_powerset.mp hK),
412
+ Finset.sdiff_sdiff_eq_self (mem_powerset.mp hL)] using this
413
+ · intro K hK
414
+ exact ⟨A \ K, mem_powerset.mpr sdiff_subset,
415
+ Finset.sdiff_sdiff_eq_self (mem_powerset.mp hK)⟩
416
+ · intro K _; rfl
417
+ have hsum : ∑ K ∈ A.powerset, (((A \ K).card : ℝ) + K.card) =
418
+ A.card * (2:ℝ)^A.card := by
419
+ calc
420
+ _ = ∑ _K ∈ A.powerset, (A.card : ℝ) := by
421
+ apply sum_congr rfl
422
+ intro K hK
423
+ exact_mod_cast card_sdiff_add_card_eq_card (mem_powerset.mp hK)
424
+ _ = _ := by simp [card_powerset]; ring
425
+ rw [sum_add_distrib, hc] at hsum
426
+ linarith
427
+
428
+ theorem center_neighbor_inter {x : V} {J : Finset V}
429
+ (hJ : Admissible G x J) : insert x J ∩ G.neighborFinset x = ∅ := by
430
+ apply eq_empty_iff_forall_notMem.mpr
431
+ intro u hu
432
+ simp only [mem_inter, mem_insert, SimpleGraph.mem_neighborFinset] at hu
433
+ rcases hu.1 with rfl | huJ
434
+ · exact G.irrefl hu.2
435
+ · exact admissible_not_adj G hJ huJ hu.2
436
+
437
+ theorem extend_neighbor_inter {x : V} {J K : Finset V}
438
+ (hJ : Admissible G x J) (hK : K ⊆ available G x J) :
439
+ (J ∪ K) ∩ G.neighborFinset x = K := by
440
+ ext u
441
+ simp only [mem_inter, mem_union, SimpleGraph.mem_neighborFinset]
442
+ constructor
443
+ · rintro ⟨hu | hu, hadj⟩
444
+ · exact False.elim (admissible_not_adj G hJ hu hadj)
445
+ · exact hu
446
+ · intro hu
447
+ exact ⟨Or.inr hu, (mem_available G x u J |>.mp (hK hu)).1⟩
448
+
449
+ end SharpLogRamsey.TriangleFree
450
+ end
451
+
452
+ end OAI
lean/OAI/Combinatorics/SharpRamsey/Construction/FiniteStreamTail.lean ADDED
@@ -0,0 +1,124 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ import Mathlib
2
+
3
+ namespace OAI
4
+
5
+ section
6
+ namespace SharpLogRamsey.FiniteStreamTail
7
+ open Finset Real
8
+ open scoped Classical BigOperators
9
+ noncomputable section
10
+ variable {α : Type*} [Fintype α]
11
+
12
+ def hits {N : ℕ} (S : Finset α) (z : Fin N→α) : ℕ :=
13
+ (univ.filter (fun i=>z i∈S)).card
14
+
15
+ def probability (S : Finset α) : ℝ := (S.card:ℝ)/(Fintype.card α:ℝ)
16
+
17
+ lemma moment (S : Finset α) (N : ℕ) :
18
+ (∑ z : Fin N→α,(2:ℝ)^hits S z)=
19
+ ((Fintype.card α:ℝ)+(S.card:ℝ))^N := by
20
+ have hp (z : Fin N→α) :
21
+ (2:ℝ)^hits S z=∏ i,if z i∈S then (2:ℝ) else 1 := by
22
+ simp only [prod_ite,hits,prod_const,one_pow,mul_one]
23
+ have hs : (∑ a : α,if a∈S then (2:ℝ) else 1)=(Fintype.card α:ℝ)+(S.card:ℝ) := by
24
+ have he (a : α) : (if a∈S then (2:ℝ) else 1)=1+(if a∈S then 1 else 0) := by
25
+ split_ifs <;> norm_num
26
+ simp only [he,sum_add_distrib,sum_const,card_univ,nsmul_eq_mul,mul_one,
27
+ Fintype.sum_ite_mem,sum_const]
28
+ simp_rw [hp]
29
+ rw [←Fintype.prod_sum (fun (_ : Fin N) (a : α)=>if a∈S then (2:ℝ) else 1)]
30
+ simp only [hs,prod_const,card_univ,Fintype.card_fin]
31
+
32
+ variable [Nonempty α]
33
+
34
+ lemma card_pos : (0:ℝ)<Fintype.card α := by exact_mod_cast Fintype.card_pos
35
+
36
+ lemma average_moment (S : Finset α) (N : ℕ) :
37
+ (∑ z : Fin N→α,(2:ℝ)^hits S z)/(Fintype.card (Fin N→α):ℝ) =
38
+ (1+probability S)^N := by
39
+ rw [moment]
40
+ simp only [Fintype.card_fun,Fintype.card_fin,Nat.cast_pow,←div_pow,probability]
41
+ congr 1
42
+ rw [add_div,div_self (ne_of_gt (card_pos (α:=α)))]
43
+
44
+ lemma average_moment_le (S : Finset α) (N : ℕ) :
45
+ (∑ z : Fin N→α,(2:ℝ)^hits S z)/(Fintype.card (Fin N→α):ℝ) ≤
46
+ exp (N*probability S) := by
47
+ rw [average_moment,exp_nat_mul]
48
+ apply pow_le_pow_left₀
49
+ · exact add_nonneg zero_le_one (div_nonneg (Nat.cast_nonneg _) (Nat.cast_nonneg _))
50
+ · simpa only [add_comm] using Real.add_one_le_exp (probability S)
51
+
52
+ lemma single_tail (S : Finset α) (N : ℕ) (t : ℝ) :
53
+ probability (univ.filter (fun z : Fin N→α=>t≤hits S z)) ≤
54
+ exp (N*probability S-t*log 2) := by
55
+ let B := univ.filter (fun z : Fin N→α=>t≤hits S z)
56
+ have hsum : (B.card:ℝ)*exp (t*log 2)≤∑ z : Fin N→α,(2:ℝ)^hits S z := by
57
+ calc
58
+ _ = ∑ _z∈B,exp (t*log 2) := by simp
59
+ _ ≤ ∑ z∈B,(2:ℝ)^hits S z := by
60
+ apply sum_le_sum
61
+ intro z hz
62
+ have ht := (mem_filter.mp hz).2
63
+ have he : exp ((hits S z:ℝ)*log 2)=(2:ℝ)^hits S z := by
64
+ rw [exp_nat_mul,exp_log (by norm_num)]
65
+ rw [←he]
66
+ apply exp_le_exp.mpr
67
+ exact mul_le_mul_of_nonneg_right ht (log_nonneg (by norm_num))
68
+ _ ≤ _ := sum_le_sum_of_subset_of_nonneg (subset_univ _) (fun _ _ _=>by positivity)
69
+ have hdiv := div_le_div_of_nonneg_right hsum (Nat.cast_nonneg (Fintype.card (Fin N→α)))
70
+ have hm := average_moment_le S N
71
+ have hb : probability B*exp (t*log 2)≤exp (N*probability S) := by
72
+ unfold probability
73
+ calc
74
+ _ = (B.card*exp (t*log 2))/(Fintype.card (Fin N→α):ℝ) := by ring
75
+ _ ≤ _ := hdiv.trans hm
76
+ have hh := (le_div_iff₀ (exp_pos (t*log 2))).mpr hb
77
+ simpa only [exp_sub] using hh
78
+
79
+ lemma probability_univ : probability (univ : Finset α)=1 := by
80
+ simp only [probability,card_univ]
81
+ exact div_self (ne_of_gt (card_pos (α:=α)))
82
+
83
+ lemma probability_compl (S : Finset α) : probability Sᶜ=1-probability S := by
84
+ simp only [probability,Finset.card_compl,Nat.cast_sub (card_le_univ S),sub_div,
85
+ div_self (ne_of_gt (card_pos (α:=α)))]
86
+
87
+ omit [Nonempty α] [Fintype α] in
88
+ lemma hits_embedding {N n : ℕ} (S : Finset α) (z : Fin N→α) (e : Fin n↪Fin N) :
89
+ hits S (z∘e)≤hits S z := by
90
+ let A := univ.filter (fun i : Fin n=>z (e i)∈S)
91
+ have he : A.map e⊆univ.filter (fun i : Fin N=>z i∈S) := by
92
+ intro i hi
93
+ obtain ⟨j,hj,rfl⟩ := mem_map.mp hi
94
+ exact mem_filter.mpr ⟨mem_univ _,(mem_filter.mp hj).2⟩
95
+ simpa only [card_map,A,hits,Function.comp_def] using card_le_card he
96
+
97
+ variable {J : Type*} [Fintype J]
98
+
99
+ theorem simultaneous_tail (R : J→Finset α) (N : ℕ) (t μ : ℝ)
100
+ (hμ : ∀ j,(N:ℝ)*probability (R j)≤μ) :
101
+ probability (univ.filter (fun z : Fin N→α=>∃ j,t≤hits (R j) z)) ≤
102
+ (Fintype.card J:ℝ)*exp (μ-t*log 2) := by
103
+ let B := fun j=>univ.filter (fun z : Fin N→α=>t≤hits (R j) z)
104
+ have he : (univ.filter (fun z : Fin N→α=>∃ j,t≤hits (R j) z))=
105
+ univ.biUnion B := by ext z; simp [B]
106
+ rw [he]
107
+ have hc : ((univ.biUnion B).card:ℝ)≤∑ j,((B j).card:ℝ) := by
108
+ exact_mod_cast (card_biUnion_le (s:=univ) (t:=B))
109
+ calc
110
+ _ ≤ (∑ j,((B j).card:ℝ))/(Fintype.card (Fin N→α):ℝ) :=
111
+ div_le_div_of_nonneg_right hc (by positivity)
112
+ _ = ∑ j,probability (B j) := by rw [sum_div]; rfl
113
+ _ ≤ ∑ _j : J,exp (μ-t*log 2) := by
114
+ apply sum_le_sum
115
+ intro j _
116
+ exact (single_tail (R j) N t).trans (exp_le_exp.mpr (sub_le_sub_right (hμ j) _))
117
+ _ = _ := by simp
118
+
119
+ end
120
+ end SharpLogRamsey.FiniteStreamTail
121
+
122
+ end
123
+
124
+ end OAI
lean/OAI/Combinatorics/SharpRamsey/Construction/FlagConstruction.lean ADDED
@@ -0,0 +1,217 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ import Mathlib
2
+ import OAI.Combinatorics.SharpRamsey.Marking.Popular
3
+
4
+ namespace OAI
5
+
6
+ section
7
+ namespace SharpLogRamsey
8
+
9
+ section LinearAlgebra
10
+ variable {K V : Type*} [Field K] [AddCommGroup V] [Module K V]
11
+
12
+ theorem flag_vectors_independent {m : ℕ} (a : Fin m → V)
13
+ (b : Fin m → Module.Dual K V)
14
+ (ha : ∀ i, a i ≠ 0)
15
+ (hz : ∀ i j, i ≤ j → b j (a i) = 0)
16
+ (hn : ∀ i j, i < j → b i (a j) ≠ 0) :
17
+ LinearIndependent K a := by
18
+ induction m with
19
+ | zero => exact linearIndependent_empty_type
20
+ | succ m ih =>
21
+ apply linearIndependent_finSucc'.mpr
22
+ refine ⟨ih (Fin.init a) (Fin.init b) (fun i => ha i.castSucc)
23
+ (fun i j h => hz i.castSucc j.castSucc h)
24
+ (fun i j h => hn i.castSucc j.castSucc h), ?_⟩
25
+ cases m with
26
+ | zero => simpa using ha (Fin.last 0)
27
+ | succ n =>
28
+ intro hmem
29
+ let j : Fin (n + 1 + 1) := (Fin.last n).castSucc
30
+ have hspan : Submodule.span K (Set.range (Fin.init a)) ≤
31
+ LinearMap.ker (b j) := by
32
+ apply Submodule.span_le.mpr
33
+ rintro _ ⟨i, rfl⟩
34
+ exact hz i.castSucc j (by simpa [j] using Fin.le_last i)
35
+ have hzero : b j (a (Fin.last (n + 1))) = 0 := hspan hmem
36
+ exact hn j (Fin.last (n + 1)) (by simp [j]) hzero
37
+
38
+ theorem flag_length_lt_finrank [FiniteDimensional K V] {m : ℕ}
39
+ (a : Fin (m+1) → V) (b : Fin (m+1) → Module.Dual K V)
40
+ (ha : ∀ i, a i ≠ 0) (hb : b (Fin.last m) ≠ 0)
41
+ (hz : ∀ i j, i ≤ j → b j (a i) = 0)
42
+ (hn : ∀ i j, i < j → b i (a j) ≠ 0) :
43
+ m + 1 < Module.finrank K V := by
44
+ let W := LinearMap.ker (b (Fin.last m))
45
+ let a' : Fin (m+1) → W := fun i => ⟨a i, hz i (Fin.last m) (Fin.le_last i)⟩
46
+ have hli : LinearIndependent K a' :=
47
+ LinearIndependent.of_comp W.subtype (flag_vectors_independent a b ha hz hn)
48
+ have hle : m + 1 ≤ Module.finrank K W := by
49
+ simpa using hli.fintype_card_le_finrank
50
+ have hproper : W ≠ ⊤ := by
51
+ exact fun h => hb (LinearMap.ker_eq_top.mp h)
52
+ exact hle.trans_lt (Submodule.finrank_lt hproper)
53
+
54
+ end LinearAlgebra
55
+
56
+ section Flags
57
+ variable (K V : Type*) [Field K] [AddCommGroup V] [Module K V]
58
+
59
+ theorem incident_iff_submodule (a : Projectivization K V)
60
+ (b : Projectivization K (Module.Dual K V)) :
61
+ Incident K V a b ↔ a.submodule ≤ LinearMap.ker b.rep := by
62
+ rw [Projectivization.submodule_eq, Submodule.span_singleton_le_iff_mem]
63
+ rfl
64
+
65
+ def flagGraph {N : ℕ} (F : Fin N → Flag K V) : SimpleGraph (Fin N) where
66
+ Adj i j :=
67
+ (i < j ∧ Incident K V (F i).point (F j).dualPoint ∧
68
+ ¬ Incident K V (F j).point (F i).dualPoint) ∨
69
+ (j < i ∧ Incident K V (F j).point (F i).dualPoint ∧
70
+ ¬ Incident K V (F i).point (F j).dualPoint)
71
+ symm := ⟨fun _ _ h => h.symm⟩
72
+ loopless := ⟨fun i => by simp⟩
73
+
74
+ variable {K V}
75
+
76
+ theorem flagGraph_adj_of_lt {N : ℕ} (F : Fin N → Flag K V)
77
+ {i j : Fin N} (hij : i < j) :
78
+ (flagGraph K V F).Adj i j ↔
79
+ Incident K V (F i).point (F j).dualPoint ∧
80
+ ¬ Incident K V (F j).point (F i).dualPoint := by
81
+ simp only [flagGraph, hij, true_and, not_lt_of_ge hij.le, false_and, or_false]
82
+
83
+ theorem flagGraph_cliqueFree [FiniteDimensional K V] {d N : ℕ}
84
+ (hdim : Module.finrank K V = d+1) (F : Fin N → Flag K V) :
85
+ (flagGraph K V F).CliqueFree (d+1) := by
86
+ intro S hS
87
+ let e := S.orderEmbOfFin hS.card_eq
88
+ let a : Fin (d+1) → V := fun i => (F (e i)).point.rep
89
+ let b : Fin (d+1) → Module.Dual K V := fun i => (F (e i)).dualPoint.rep
90
+ have hedge (i j : Fin (d+1)) (h : i < j) :
91
+ Incident K V (F (e i)).point (F (e j)).dualPoint ∧
92
+ ¬ Incident K V (F (e j)).point (F (e i)).dualPoint := by
93
+ apply (flagGraph_adj_of_lt F (e.strictMono h)).mp
94
+ exact hS.isClique (S.orderEmbOfFin_mem hS.card_eq i)
95
+ (S.orderEmbOfFin_mem hS.card_eq j) (ne_of_lt (e.strictMono h))
96
+ have hz : ∀ i j, i ≤ j → b j (a i) = 0 := by
97
+ intro i j h
98
+ rcases lt_or_eq_of_le h with hlt | rfl
99
+ · exact (hedge i j hlt).1
100
+ · exact (F (e i)).incident
101
+ have hn : ∀ i j, i < j → b i (a j) ≠ 0 := by
102
+ intro i j h
103
+ exact (hedge i j h).2
104
+ have hlt := flag_length_lt_finrank a b (fun i => (F (e i)).point.rep_nonzero)
105
+ (F (e (Fin.last d))).dualPoint.rep_nonzero hz hn
106
+ omega
107
+
108
+ theorem consistent_iff_no_edges {N : ℕ} (F : Fin N → Flag K V) :
109
+ Consistent F ↔ ∀ i j, ¬ (flagGraph K V F).Adj i j := by
110
+ constructor
111
+ · intro h i j hadj
112
+ rcases hadj with ⟨hij, hinc, hnot⟩ | ⟨hji, hinc, hnot⟩
113
+ · exact hnot (h i j hij hinc)
114
+ · exact hnot (h j i hji hinc)
115
+ · intro h i j hij hinc
116
+ by_contra hnot
117
+ exact h i j ((flagGraph_adj_of_lt F hij).mpr ⟨hinc, hnot⟩)
118
+
119
+ def ConsistentOn {N : ℕ} (F : Fin N → Flag K V) (S : Finset (Fin N)) : Prop :=
120
+ ∀ i ∈ S, ∀ j ∈ S, i < j → Incident K V (F i).point (F j).dualPoint →
121
+ Incident K V (F j).point (F i).dualPoint
122
+
123
+ theorem consistentOn_iff_compl_isClique {N : ℕ} (F : Fin N → Flag K V)
124
+ (S : Finset (Fin N)) :
125
+ ConsistentOn F S ↔ (flagGraph K V F)ᶜ.IsClique S := by
126
+ constructor
127
+ · intro h i hi j hj hne
128
+ rw [SimpleGraph.compl_adj]
129
+ refine ⟨hne, ?_⟩
130
+ rintro (⟨hij, hinc, hnot⟩ | ⟨hji, hinc, hnot⟩)
131
+ · exact hnot (h i hi j hj hij hinc)
132
+ · exact hnot (h j hj i hi hji hinc)
133
+ · intro h i hi j hj hij hinc
134
+ have hnot := ((flagGraph K V F).compl_adj i j).mp (h hi hj (ne_of_lt hij))
135
+ by_contra hrev
136
+ exact hnot.2 ((flagGraph_adj_of_lt F hij).mpr ⟨hinc, hrev⟩)
137
+
138
+ noncomputable def projectiveSubmoduleEquiv (W : Submodule K V) :
139
+ Projectivization K W ≃ {a : Projectivization K V // a.submodule ≤ W} := by
140
+ let f : Projectivization K W → {a : Projectivization K V // a.submodule ≤ W} :=
141
+ fun a => ⟨Projectivization.map W.subtype W.injective_subtype a, by
142
+ induction a using Projectivization.ind with
143
+ | h v hv =>
144
+ rw [Projectivization.map_mk, Projectivization.submodule_mk,
145
+ Submodule.span_singleton_le_iff_mem]
146
+ exact v.property⟩
147
+ apply Equiv.ofBijective f
148
+ constructor
149
+ · intro a b h
150
+ exact Projectivization.map_injective W.subtype W.injective_subtype
151
+ (congrArg Subtype.val h)
152
+ · rintro ⟨a, ha⟩
153
+ have hmem : a.rep ∈ W := ha (by
154
+ rw [Projectivization.submodule_eq]
155
+ exact Submodule.mem_span_singleton_self _)
156
+ let v : W := ⟨a.rep, hmem⟩
157
+ have hv : v ≠ 0 := fun h => a.rep_nonzero (congrArg Subtype.val h)
158
+ refine ⟨Projectivization.mk K v hv, ?_⟩
159
+ apply Subtype.ext
160
+ exact a.mk_rep
161
+
162
+ theorem card_incident_points [Finite K] [FiniteDimensional K V] {d : ℕ}
163
+ (hdim : Module.finrank K V = d+1)
164
+ (b : Projectivization K (Module.Dual K V)) :
165
+ Nat.card {a : Projectivization K V // Incident K V a b} =
166
+ ∑ i ∈ Finset.range d, Nat.card K ^ i := by
167
+ let e : {a : Projectivization K V // Incident K V a b} ≃
168
+ {a : Projectivization K V // a.submodule ≤ LinearMap.ker b.rep} :=
169
+ Equiv.subtypeEquivRight (fun a => incident_iff_submodule K V a b)
170
+ rw [Nat.card_congr e, ← Nat.card_congr (projectiveSubmoduleEquiv (LinearMap.ker b.rep))]
171
+ apply Projectivization.card_of_finrank
172
+ have h := Module.Dual.finrank_ker_add_one_of_ne_zero b.rep_nonzero
173
+ omega
174
+
175
+ theorem card_flags [Finite K] [FiniteDimensional K V] {d : ℕ}
176
+ (hdim : Module.finrank K V = d+1) :
177
+ Nat.card (Flag K V) =
178
+ (∑ i ∈ Finset.range (d+1), Nat.card K ^ i) *
179
+ (∑ i ∈ Finset.range d, Nat.card K ^ i) := by
180
+ classical
181
+ let : Finite V := Finite.of_injective (Module.finBasis K V).equivFun
182
+ (Module.finBasis K V).equivFun.injective
183
+ let : Finite (Module.Dual K V) :=
184
+ Finite.of_injective (Module.finBasis K (Module.Dual K V)).equivFun
185
+ (Module.finBasis K (Module.Dual K V)).equivFun.injective
186
+ let : Finite (Projectivization K V) :=
187
+ Finite.of_injective Projectivization.rep (fun a b h => by
188
+ rw [← a.mk_rep, ← b.mk_rep]; congr 1)
189
+ let : Finite (Projectivization K (Module.Dual K V)) :=
190
+ Finite.of_injective Projectivization.rep (fun a b h => by
191
+ rw [← a.mk_rep, ← b.mk_rep]; congr 1)
192
+ let := Fintype.ofFinite (Projectivization K (Module.Dual K V))
193
+ let e : Flag K V ≃ Σ b : Projectivization K (Module.Dual K V),
194
+ {a : Projectivization K V // Incident K V a b} :=
195
+ { toFun := fun f => ⟨f.dualPoint, f.point, f.incident⟩
196
+ invFun := fun f => ⟨f.2.1, f.1, f.2.2⟩
197
+ left_inv := fun f => by cases f; rfl
198
+ right_inv := fun f => by cases f; rfl }
199
+ rw [Nat.card_congr e, Nat.card_sigma]
200
+ simp_rw [card_incident_points hdim]
201
+ simp only [Finset.sum_const, Finset.card_univ, smul_eq_mul]
202
+ rw [← Nat.card_eq_fintype_card]
203
+ rw [Projectivization.card_of_finrank K (Module.Dual K V)
204
+ (Subspace.dual_finrank_eq.trans hdim)]
205
+
206
+ theorem prime_flagGraph_cliqueFree (q d N : ℕ) [Fact q.Prime]
207
+ (F : Fin N → Flag (ZMod q) (Fin (d+1) → ZMod q)) :
208
+ (flagGraph (ZMod q) (Fin (d+1) → ZMod q) F).CliqueFree (d+1) := by
209
+ apply flagGraph_cliqueFree
210
+ simp
211
+
212
+ end Flags
213
+ end SharpLogRamsey
214
+
215
+ end
216
+
217
+ end OAI
lean/OAI/Combinatorics/SharpRamsey/Construction/GraphWitness.lean ADDED
@@ -0,0 +1,73 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ import Mathlib
2
+ import OAI.Combinatorics.SharpRamsey.Parameters.FiniteIteration
3
+ import OAI.Combinatorics.SharpRamsey.Parameters.NoContext
4
+ import OAI.Combinatorics.SharpRamsey.Construction.InitialLaw
5
+
6
+ namespace OAI
7
+
8
+ section
9
+ namespace SharpLogRamsey.Marking
10
+ open Finset Real Filter Selection Selection.Windows ActualHighRank SourceScales
11
+ open scoped Classical BigOperators Topology
12
+ noncomputable section
13
+ local instance witnessFiniteDual {K : Type} [Field K] [Fintype K] {d : ℕ} : Finite (Module.Dual K (Fin (d+1)→K)) :=
14
+ Finite.of_injective ((↑) : Module.Dual K (Fin (d+1)→K)→((Fin (d+1)→K)→K)) DFunLike.coe_injective
15
+ local instance witnessFiniteDouble {K : Type} [Field K] [Fintype K] {d : ℕ} : Finite (Module.Dual K (Module.Dual K (Fin (d+1)→K))) :=
16
+ Finite.of_injective ((↑) : Module.Dual K (Module.Dual K (Fin (d+1)→K))→(Module.Dual K (Fin (d+1)→K)→K)) DFunLike.coe_injective
17
+ local instance witnessProjective {K : Type} [Field K] [Fintype K] {d : ℕ} : Fintype (Projectivization K (Fin (d+1)→K)) := Fintype.ofFinite _
18
+ local instance witnessDualProjective {K : Type} [Field K] [Fintype K] {d : ℕ} : Fintype (Projectivization K (Module.Dual K (Fin (d+1)→K))) := Fintype.ofFinite _
19
+ local instance witnessDoubleProjective {K : Type} [Field K] [Fintype K] {d : ℕ} : Fintype (Projectivization K (Module.Dual K (Module.Dual K (Fin (d+1)→K)))) := Fintype.ofFinite _
20
+
21
+ theorem eventually_graph_witness (i : ℕ) (η : ℝ) (hη : 0 < η) (hηu : η ≤ 1) :
22
+ ∀ᶠ σ : ℝ in atTop, ∀ (q : ℕ) [Fact q.Prime], 3 ≤ q → exp σ=(q:ℝ) →
23
+ ∀ N k : ℕ, 0 < k → k ≤ N → (k:ℝ) ≤ (q:ℝ)*σ^(1+η) →
24
+ ((q:ℝ)*σ^(1+η))/2 ≤ k → (N:ℝ) ≤ (q:ℝ)^(i+3)*σ →
25
+ ∃ G : SimpleGraph (Fin N),G.CliqueFree (i+4) ∧ G.indepNum < k := by
26
+ let P:=max 4 (stepPrefactor (i+3))
27
+ let T:=⌈8/η⌉₊+1
28
+ let Lstar:ℝ:=(4*classCount i)^T
29
+ let c:ℝ:=(1/2)/(256*classCount i)^T
30
+ have hP4 : 4 ≤ P:=le_max_left _ _
31
+ have hP1 : 1 ≤ P:=by linarith
32
+ have hPs : stepPrefactor (i+3) ≤ P:=le_max_right _ _
33
+ have hK : 0 < classCount i:=classCount_pos i
34
+ have hLs : 0 < Lstar:=by dsimp [Lstar];positivity
35
+ have hc : 0 < c:=by dsimp [c];positivity
36
+ filter_upwards [eventually_iterated_context i η P (InitialExperiment.occupancyConstant i)
37
+ hη hηu hP1 hPs (InitialExperiment.occupancyConstant_pos i).le,
38
+ eventually_no_small_context i η c Lstar P hη hc hLs hP1] with σ hiter hnone
39
+ intro q _ hq he N k hk hkn hku hklo hN
40
+ by_contra! hbad
41
+ have h : ∀ z : Fin N→Flag (ZMod q) (Fin (i+4)→ZMod q),
42
+ k ≤ (flagGraph (ZMod q) (Fin (i+4)→ZMod q) z).indepNum:=by
43
+ intro z
44
+ exact hbad _ (prime_flagGraph_cliqueFree q (i+3) N z)
45
+ have hlog : log (q:ℝ)=σ:=by rw [←he,log_exp]
46
+ have hNlog : (N:ℝ) ≤ (q:ℝ)^(i+3)*log (q:ℝ):=by simpa only [hlog] using hN
47
+ let Ω:=InitialExperiment.goodEvent i q N
48
+ let p:=InitialExperiment.law i q N hNlog
49
+ let stream : Ω→Fin N→Flag (ZMod q) (Fin (i+4)→ZMod q):=Subtype.val
50
+ let F : Ω→Fin k→Flag (ZMod q) (Fin (i+4)→ZMod q):=InitialExperiment.tuple i q N k h
51
+ have hdom : ∀ g,(p.map stream).mass g ≤ 2/(Fintype.card (Flag (ZMod q) (Fin (i+4)→ZMod q)):ℝ)^N:=
52
+ InitialExperiment.law_dom i q N hNlog
53
+ have hsel : ∀ x,p.mass x≠0→Occurs (F x) (stream x) ∨ Occurs (reverseTuple (F x)) (stream x):=by
54
+ intro x _
55
+ exact Or.inr (InitialExperiment.tuple_occurs i q N k h x)
56
+ have hcon : ∀ x,p.mass x≠0→ScanConsistent ((List.ofFn (fun j=>flagPair (F x j))).map toScan):=by
57
+ intro x _
58
+ exact InitialExperiment.tuple_consistent i q N k h x
59
+ have hocc : ∀ x,p.mass x≠0→∀ W : Submodule (ZMod q) (Fin (i+4)→ZMod q),
60
+ ((univ.filter (fun j : Fin k=>(flagPair (F x j)).swap∈
61
+ orthogonalRectangle Projectivization.rep Projectivization.rep W)).card:ℝ) ≤
62
+ InitialExperiment.occupancyConstant i*σ:=by
63
+ intro x _ W
64
+ simpa only [hlog] using InitialExperiment.tuple_occupancy i q N k h x W
65
+ let e0:=initial_context p F _ (InitialExperiment.alphabet_cap i q hP4 σ he)
66
+ obtain ⟨m,hm,⟨e⟩⟩:=hiter q hq he Ω N k p stream F hk hkn hku hklo hdom hsel hN hcon hocc e0
67
+ exact hnone q he Ω N k m p stream F hkn hku hdom hsel hN hcon hm ⟨e⟩
68
+ end
69
+ end SharpLogRamsey.Marking
70
+
71
+ end
72
+
73
+ end OAI
lean/OAI/Combinatorics/SharpRamsey/Construction/InitialLaw.lean ADDED
@@ -0,0 +1,121 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ import Mathlib
2
+ import OAI.Combinatorics.SharpRamsey.Construction.InitialTools
3
+
4
+ namespace OAI
5
+
6
+ section
7
+ namespace SharpLogRamsey.InitialExperiment
8
+ open Finset Real Filter Selection Marking FiniteStreamTail RectangleStreamEvent
9
+ open scoped Classical BigOperators Topology
10
+ noncomputable section
11
+ local instance initLawFiniteDual {K : Type} [Field K] [Fintype K] {d : ℕ} : Finite (Module.Dual K (Fin (d+1)→K)) :=
12
+ Finite.of_injective ((↑) : Module.Dual K (Fin (d+1)→K)→((Fin (d+1)→K)→K)) DFunLike.coe_injective
13
+ local instance initLawFiniteDouble {K : Type} [Field K] [Fintype K] {d : ℕ} : Finite (Module.Dual K (Module.Dual K (Fin (d+1)→K))) :=
14
+ Finite.of_injective ((↑) : Module.Dual K (Module.Dual K (Fin (d+1)→K))→(Module.Dual K (Fin (d+1)→K)→K)) DFunLike.coe_injective
15
+ local instance initLawProjective {K : Type} [Field K] [Fintype K] {d : ℕ} : Fintype (Projectivization K (Fin (d+1)→K)) := Fintype.ofFinite _
16
+ local instance initLawDualProjective {K : Type} [Field K] [Fintype K] {d : ℕ} : Fintype (Projectivization K (Module.Dual K (Fin (d+1)→K))) := Fintype.ofFinite _
17
+ local instance initLawDoubleProjective {K : Type} [Field K] [Fintype K] {d : ℕ} : Fintype (Projectivization K (Module.Dual K (Module.Dual K (Fin (d+1)→K)))) := Fintype.ofFinite _
18
+
19
+ def occupancyConstant (i : ℕ) : ℝ := (((i+4)^2:ℕ)+5:ℝ)/log 2
20
+
21
+ lemma occupancyConstant_pos (i : ℕ) : 0 < occupancyConstant i:=by
22
+ unfold occupancyConstant
23
+ exact div_pos (by positivity) (log_pos (by norm_num))
24
+
25
+ variable (i q : ℕ) [Fact q.Prime] (N k : ℕ)
26
+
27
+ local instance initLawFlagNonempty : Nonempty (Flag (ZMod q) (Fin (i+4)→ZMod q)):=
28
+ Fintype.card_pos_iff.mp (by
29
+ have hh:=flags_card_pos (K:=ZMod q) (V:=Fin (i+4)→ZMod q) (d:=i+3) (by omega) (by simp)
30
+ simpa only [←Nat.card_eq_fintype_card] using hh)
31
+
32
+ def goodEvent : Finset (Fin N→Flag (ZMod q) (Fin (i+4)→ZMod q)):=
33
+ univ.filter (fun z=>∀ W : Submodule (ZMod q) (Fin (i+4)→ZMod q),
34
+ (hits (rectangle W) z:ℝ)<occupancyConstant i*log (q:ℝ))
35
+
36
+ lemma goodEvent_half (hN : (N:ℝ) ≤ (q:ℝ)^(i+3)*log (q:ℝ)) :
37
+ (1:ℝ)/2 ≤ probability (goodEvent i q N) := by
38
+ have hh:=simultaneous_good_probability (d:=i+3) (N:=N) (K:=ZMod q) (V:=Fin (i+4)→ZMod q)
39
+ (by omega) (by simp) (by simpa only [Nat.card_zmod] using hN)
40
+ have hq : 2 ≤ (q:ℝ):=by exact_mod_cast (Fact.out : q.Prime).two_le
41
+ have hq0 : (0:ℝ) < q:=by linarith
42
+ have hdiv : 1/(q:ℝ) ≤ 1/2:=(div_le_iff₀ hq0).mpr (by linarith)
43
+ have hin : (1:ℝ)/2 ≤ 1-1/q:=by linarith
44
+ apply hin.trans
45
+ simpa only [goodEvent,occupancyConstant,Nat.card_zmod,show i+3+1=i+4 by omega,
46
+ probability,hits,rectangle,mem_filter,mem_univ,true_and,←Fintype.card_subtype,
47
+ ←Nat.card_eq_fintype_card] using hh
48
+
49
+ def law (hN : (N:ℝ) ≤ (q:ℝ)^(i+3)*log (q:ℝ)) : Law (goodEvent i q N):=
50
+ uniformLaw.onEvent (goodEvent i q N) (by rw [uniformLaw_event]; have:=goodEvent_half i q N hN;linarith)
51
+
52
+ lemma law_dom (hN : (N:ℝ) ≤ (q:ℝ)^(i+3)*log (q:ℝ)) :
53
+ ∀ g,((law i q N hN).map (Subtype.val : goodEvent i q N→_)).mass g ≤
54
+ 2/(Fintype.card (Flag (ZMod q) (Fin (i+4)→ZMod q)):ℝ)^N := by
55
+ intro g
56
+ have hh:=uniformLaw_conditioned (goodEvent_half i q N hN) g
57
+ convert hh using 1 <;> simp only [law,Fintype.card_fun,Fintype.card_fin,Nat.cast_pow]
58
+
59
+ variable (h : ∀ z : Fin N→Flag (ZMod q) (Fin (i+4)→ZMod q),
60
+ k ≤ (flagGraph (ZMod q) (Fin (i+4)→ZMod q) z).indepNum)
61
+
62
+ def chosen (z : Fin N→Flag (ZMod q) (Fin (i+4)→ZMod q)) : Fin k↪o Fin N:=
63
+ Classical.choose (independent_selected z (h z))
64
+
65
+ lemma chosen_consistent (z : Fin N→Flag (ZMod q) (Fin (i+4)→ZMod q)) :
66
+ Consistent (fun j=>z (chosen i q N k h z j)):=Classical.choose_spec (independent_selected z (h z))
67
+
68
+ def tuple (z : goodEvent i q N) : Fin k→Flag (ZMod q) (Fin (i+4)→ZMod q):=
69
+ fun j=>z.val (chosen i q N k h z.val j.rev)
70
+
71
+ lemma tuple_occurs (z : goodEvent i q N) : Occurs (reverseTuple (tuple i q N k h z)) z.val := by
72
+ apply (occurs_iff_orderEmbedding _ _).mpr
73
+ refine ⟨chosen i q N k h z.val,?_⟩
74
+ intro j
75
+ simp only [reverseTuple,tuple,Fin.rev_rev]
76
+
77
+ lemma tuple_consistent (z : goodEvent i q N) :
78
+ ScanConsistent ((List.ofFn (fun j=>flagPair (tuple i q N k h z j))).map toScan) :=
79
+ selected_reverse_consistent z.val (chosen i q N k h z.val) (chosen_consistent i q N k h z.val)
80
+
81
+ lemma tuple_occupancy (z : goodEvent i q N) :
82
+ ∀ W : Submodule (ZMod q) (Fin (i+4)→ZMod q),
83
+ ((univ.filter (fun j : Fin k=>(flagPair (tuple i q N k h z j)).swap∈
84
+ orthogonalRectangle Projectivization.rep Projectivization.rep W)).card:ℝ) ≤
85
+ occupancyConstant i*log (q:ℝ) := by
86
+ intro W
87
+ let e : Fin k↪Fin N:= (Equiv.toEmbedding (Equiv.ofBijective Fin.rev (by
88
+ constructor
89
+ · intro a b hab;simpa using congrArg Fin.rev hab
90
+ · intro a;exact ⟨a.rev,by simp⟩))).trans (chosen i q N k h z.val).toEmbedding
91
+ have hh:=hits_embedding (rectangle W) z.val e
92
+ have hz : (hits (rectangle W) z.val:ℝ)<occupancyConstant i*log (q:ℝ):=(mem_filter.mp z.property).2 W
93
+ apply le_trans _ hz.le
94
+ convert (Nat.cast_le (α:=ℝ)).mpr hh using 1
95
+ congr 1
96
+ apply congrArg Finset.card
97
+ ext j
98
+ simp only [mem_filter,mem_univ,true_and,rectangle_pair_iff]
99
+ rfl
100
+
101
+ lemma alphabet_cap {P : ℝ} (hP : 4 ≤ P) (σ : ℝ) (he : exp σ=(q:ℝ)) :
102
+ (Fintype.card (Flag (ZMod q) (Fin (i+4)→ZMod q)):ℝ) ≤
103
+ P*(q:ℝ)^(i+3)*exp (((i+2:ℕ):ℝ)*σ) := by
104
+ have hq : 2 ≤ q:=(Fact.out : q.Prime).two_le
105
+ have hh : Fintype.card (Flag (ZMod q) (Fin (i+4)→ZMod q)) ≤ 4*q^(i+3)*q^(i+2):=by
106
+ rw [actualFlag_card (d:=i+3) (by simp),Nat.card_zmod]
107
+ have h1:=InitialRectangles.sum_powers_le_two hq (show 0 < i+3+1 by omega)
108
+ have h2:=InitialRectangles.sum_powers_le_two hq (show 0 < i+3 by omega)
109
+ have hx:=Nat.mul_le_mul h1 h2
110
+ simp only [Nat.add_sub_cancel,show i+3-1=i+2 by omega] at hx
111
+ exact hx.trans_eq (by ring)
112
+ rw [exp_nat_mul,he]
113
+ have hh' : (Fintype.card (Flag (ZMod q) (Fin (i+4)→ZMod q)):ℝ) ≤ 4*(q:ℝ)^(i+3)*(q:ℝ)^(i+2):=by exact_mod_cast hh
114
+ apply hh'.trans
115
+ gcongr
116
+ end
117
+ end SharpLogRamsey.InitialExperiment
118
+
119
+ end
120
+
121
+ end OAI
lean/OAI/Combinatorics/SharpRamsey/Construction/InitialRectangles.lean ADDED
@@ -0,0 +1,137 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ import Mathlib
2
+ import OAI.Combinatorics.SharpRamsey.Construction.FlagConstruction
3
+
4
+ namespace OAI
5
+
6
+ section
7
+ namespace SharpLogRamsey.InitialRectangles
8
+ open Finset Real
9
+ open scoped Classical BigOperators
10
+ noncomputable section
11
+ variable {K V : Type*} [Field K] [Finite K] [AddCommGroup V] [Module K V]
12
+ [FiniteDimensional K V]
13
+
14
+ local instance flat_JoinedInitialRectangles_1 : Finite (Module.Dual K V) := Module.finite_of_finite K
15
+ local instance flat_JoinedInitialRectangles_2 : Finite (Projectivization K V) := by
16
+ let : Finite V := Module.finite_of_finite K
17
+ exact Finite.of_injective Projectivization.rep (fun a b h => by
18
+ rw [←a.mk_rep,←b.mk_rep]; congr 1)
19
+ local instance flat_JoinedInitialRectangles_3 : Finite (Projectivization K (Module.Dual K V)) :=
20
+ Finite.of_injective Projectivization.rep (fun a b h => by
21
+ rw [←a.mk_rep,←b.mk_rep]; congr 1)
22
+ local instance flat_JoinedInitialRectangles_4 : Finite (Flag K V) :=
23
+ Finite.of_injective (fun f : Flag K V => (f.point,f.dualPoint)) (by
24
+ intro a b h
25
+ cases a; cases b
26
+ cases h
27
+ rfl)
28
+ local instance flat_JoinedInitialRectangles_5 : Finite (Submodule K V) := by
29
+ let : Finite V := Module.finite_of_finite K
30
+ exact Finite.of_injective (fun W : Submodule K V => (W : Set V)) SetLike.coe_injective
31
+
32
+ def IsRectangle (W : Submodule K V) (f : Flag K V) : Prop :=
33
+ f.point.submodule≤W ∧ f.dualPoint.submodule≤W.dualAnnihilator
34
+
35
+ omit [FiniteDimensional K V] in
36
+ lemma card_points (W : Submodule K V) :
37
+ Nat.card {a : Projectivization K V // a.submodule≤W} =
38
+ ∑ i∈range (Module.finrank K W),(Nat.card K)^i := by
39
+ rw [←Nat.card_congr (projectiveSubmoduleEquiv W)]
40
+ exact Projectivization.card_of_finrank K W rfl
41
+
42
+ lemma card_rectangle_le (W : Submodule K V) :
43
+ Nat.card {f : Flag K V // IsRectangle W f} ≤
44
+ (∑ i∈range (Module.finrank K W),(Nat.card K)^i)*
45
+ (∑ i∈range (Module.finrank K W.dualAnnihilator),(Nat.card K)^i) := by
46
+ let f : {f : Flag K V // IsRectangle W f} →
47
+ {a : Projectivization K V // a.submodule≤W} ×
48
+ {b : Projectivization K (Module.Dual K V) // b.submodule≤W.dualAnnihilator} :=
49
+ fun z => (⟨z.1.point,z.2.1⟩,⟨z.1.dualPoint,z.2.2⟩)
50
+ have hi : Function.Injective f := by
51
+ intro a b h
52
+ apply Subtype.ext
53
+ have hp := congrArg (fun z => z.1.val) h
54
+ have hd := congrArg (fun z => z.2.val) h
55
+ cases a with | mk a ha =>
56
+ cases b with | mk b hb =>
57
+ cases a; cases b
58
+ simp only [f] at hp hd
59
+ cases hp; cases hd; rfl
60
+ exact (Nat.card_le_card_of_injective f hi).trans_eq (by
61
+ rw [Nat.card_prod,card_points,card_points])
62
+
63
+ lemma card_subspaces_le :
64
+ Nat.card (Submodule K V)≤(Nat.card K)^(Module.finrank K V)^2 := by
65
+ let : Finite V := Module.finite_of_finite K
66
+ let : Finite (V→ₗ[K]V) := Finite.of_injective DFunLike.coe DFunLike.coe_injective
67
+ have hs : Function.Surjective (LinearMap.range : (V→ₗ[K]V)→Submodule K V) := by
68
+ intro W
69
+ obtain ⟨Q,hQ⟩ := W.exists_isCompl
70
+ exact ⟨W.projection Q hQ,W.range_projection hQ⟩
71
+ apply (Nat.card_le_card_of_surjective _ hs).trans_eq
72
+ let : Fintype K := Fintype.ofFinite K
73
+ let : Fintype (V→ₗ[K]V) := Fintype.ofFinite _
74
+ simpa only [Nat.card_eq_fintype_card,Module.finrank_linearMap,pow_two] using
75
+ (Module.card_eq_pow_finrank (K:=K) (V:=V→ₗ[K]V))
76
+
77
+ omit [Field K] [Finite K] [AddCommGroup V] [Module K V] [FiniteDimensional K V] in
78
+ lemma sum_powers_le_two {q n : ℕ} (hq : 2≤q) (hn : 0<n) :
79
+ ∑ i∈range n,q^i≤2*q^(n-1) := by
80
+ obtain ⟨m,rfl⟩ := Nat.exists_eq_succ_of_ne_zero (Nat.ne_of_gt hn)
81
+ clear hn
82
+ induction m with
83
+ | zero => simp
84
+ | succ m ih =>
85
+ rw [sum_range_succ]
86
+ simp only [Nat.succ_eq_add_one,Nat.add_sub_cancel] at *
87
+ have hm : 2*q^m≤q^(m+1) := by
88
+ rw [pow_succ]
89
+ simpa only [mul_comm] using Nat.mul_le_mul_left (q^m) hq
90
+ omega
91
+
92
+ lemma card_rectangle_bound {d : ℕ} (hd : 1≤d)
93
+ (hdim : Module.finrank K V=d+1) (W : Submodule K V) :
94
+ Nat.card {f : Flag K V // IsRectangle W f} ≤ 4*(Nat.card K)^(d-1) := by
95
+ have hq : 2≤Nat.card K := Finite.one_lt_card (α:=K)
96
+ have hs := Subspace.finrank_add_finrank_dualAnnihilator_eq W
97
+ rw [hdim] at hs
98
+ let r := Module.finrank K W
99
+ let s := Module.finrank K W.dualAnnihilator
100
+ by_cases hr : r=0
101
+ · apply (card_rectangle_le W).trans
102
+ change (∑ i∈range r,(Nat.card K)^i)*_≤_
103
+ simp [hr]
104
+ by_cases ht : s=0
105
+ · apply (card_rectangle_le W).trans
106
+ change _*(∑ i∈range s,(Nat.card K)^i)≤_
107
+ simp [ht]
108
+ have he : (r-1)+(s-1)=d-1 := by dsimp [r,s] at *; omega
109
+ calc
110
+ _ ≤ (∑ i∈range r,(Nat.card K)^i)*(∑ i∈range s,(Nat.card K)^i) := card_rectangle_le W
111
+ _ ≤ (2*(Nat.card K)^(r-1))*(2*(Nat.card K)^(s-1)) :=
112
+ Nat.mul_le_mul (sum_powers_le_two hq (Nat.pos_of_ne_zero hr))
113
+ (sum_powers_le_two hq (Nat.pos_of_ne_zero ht))
114
+ _ = _ := by rw [show (2*(Nat.card K)^(r-1))*(2*(Nat.card K)^(s-1))=
115
+ 4*((Nat.card K)^(r-1)*(Nat.card K)^(s-1)) by ring,←pow_add,he]
116
+
117
+ lemma card_flags_lower {d : ℕ} (hd : 1≤d) (hdim : Module.finrank K V=d+1) :
118
+ (Nat.card K)^(2*d-1)≤Nat.card (Flag K V) := by
119
+ rw [card_flags hdim]
120
+ have h1 : (Nat.card K)^d≤∑ i∈range (d+1),(Nat.card K)^i :=
121
+ single_le_sum (fun _ _ => Nat.zero_le _) (mem_range.mpr (by omega))
122
+ have h2 : (Nat.card K)^(d-1)≤∑ i∈range d,(Nat.card K)^i :=
123
+ single_le_sum (fun _ _ => Nat.zero_le _) (mem_range.mpr (by omega))
124
+ have he : 2*d-1=d+(d-1) := by omega
125
+ rw [he,pow_add]
126
+ exact Nat.mul_le_mul h1 h2
127
+
128
+ lemma finite_flags : Finite (Flag K V) := inferInstance
129
+
130
+ lemma finite_subspaces : Finite (Submodule K V) := inferInstance
131
+
132
+ end
133
+ end SharpLogRamsey.InitialRectangles
134
+
135
+ end
136
+
137
+ end OAI
lean/OAI/Combinatorics/SharpRamsey/Construction/InitialTools.lean ADDED
@@ -0,0 +1,96 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ import Mathlib
2
+ import OAI.Combinatorics.SharpRamsey.Marking.TrackedGeometry
3
+ import OAI.Combinatorics.SharpRamsey.Construction.RectangleStreamEvent
4
+
5
+ namespace OAI
6
+
7
+ section
8
+ namespace SharpLogRamsey
9
+ open Finset Real Selection Marking
10
+ open scoped Classical BigOperators
11
+ noncomputable section
12
+
13
+ namespace Selection
14
+ variable {α : Type} [Fintype α] [Nonempty α]
15
+ def uniformLaw : Law α where
16
+ mass _:=1/(Fintype.card α:ℝ)
17
+ nonneg _:=by positivity
18
+ total:=by simp [Fintype.card_ne_zero]
19
+
20
+ lemma uniformLaw_event (E : Finset α) : uniformLaw.event E=FiniteStreamTail.probability E:=by
21
+ simp only [Law.event,uniformLaw,sum_const,nsmul_eq_mul,FiniteStreamTail.probability]
22
+ ring
23
+
24
+ lemma uniformLaw_conditioned {E : Finset α} (hE : (1:ℝ)/2 ≤ FiniteStreamTail.probability E) :
25
+ ∀ a,((uniformLaw.onEvent E (by rw [uniformLaw_event];linarith)).map (Subtype.val : E→α)).mass a ≤
26
+ 2/(Fintype.card α:ℝ) := by
27
+ intro a
28
+ have hh:=uniformLaw.onEvent_map_le_two E (by rwa [uniformLaw_event]) id a
29
+ rw [Law.map_id] at hh
30
+ convert hh using 1 <;> simp [uniformLaw]
31
+ ring
32
+ end Selection
33
+
34
+ variable {K V : Type} [Field K] [AddCommGroup V] [Module K V]
35
+ [Fintype (Projectivization K V)] [Fintype (Projectivization K (Module.Dual K V))]
36
+
37
+ lemma rectangle_pair_iff [Finite K] [FiniteDimensional K V] (W : Submodule K V) (f : Flag K V) :
38
+ (flagPair f).swap∈orthogonalRectangle Projectivization.rep Projectivization.rep W ↔
39
+ f∈RectangleStreamEvent.rectangle W := by
40
+ simp only [orthogonalRectangle,mem_filter,mem_univ,true_and,RectangleStreamEvent.rectangle,
41
+ InitialRectangles.IsRectangle,Projectivization.submodule_eq,Submodule.span_singleton_le_iff_mem]
42
+ rfl
43
+
44
+ def initial_context {Ω : Type} [Fintype Ω] {k : ℕ} (p : Law Ω)
45
+ (F : Ω→Fin k→Flag K V) (B : ℝ) (hB : (Fintype.card (Flag K V):ℝ) ≤ B) :
46
+ ContextOutput p (fun x j=>flagPair (F x j)) k B 0 1 where
47
+ X:={x // p.mass x≠0}
48
+ Γ:=Unit
49
+ finiteX:=inferInstance
50
+ finiteΓ:=inferInstance
51
+ μ:=p.nullFree
52
+ source:=Subtype.val
53
+ msg:=fun _=>()
54
+ chosen:=fun _=>OrderEmbedding.ofStrictMono id (fun _ _ h=>h)
55
+ domains:=fun _ _=>univ.map ⟨flagPair,flagPair_injective⟩
56
+ supported:=fun x=>x.property
57
+ hit:=fun x j=>mem_map.mpr ⟨F x.val j,mem_univ _,rfl⟩
58
+ size:=by intro _ _;simpa only [card_map,card_univ] using hB
59
+ dominated:=by
60
+ intro x
61
+ have hh:=p.nullFree_map id
62
+ rw [Law.map_id] at hh
63
+ have he : p.nullFree.map (Subtype.val : {x // p.mass x≠0}→Ω)=p:=by
64
+ convert hh using 1
65
+ congr!
66
+ rw [he,one_mul]
67
+ cost:=by
68
+ have hh:=entropy_le_log_card (p.nullFree.map (fun _=>())) univ (by simp)
69
+ simpa using hh
70
+
71
+ omit [Fintype (Projectivization K V)] [Fintype (Projectivization K (Module.Dual K V))] in
72
+ lemma independent_selected {N k : ℕ} (z : Fin N→Flag K V)
73
+ (h : k ≤ (flagGraph K V z).indepNum) :
74
+ ∃ e : Fin k↪o Fin N,Consistent (fun j=>z (e j)) := by
75
+ obtain ⟨S,hS⟩:=(flagGraph K V z).exists_isNIndepSet_indepNum
76
+ obtain ⟨T,hTS,hTk⟩:=exists_subset_card_eq (s:=S) (n:=k) (by rwa [hS.card_eq])
77
+ let e:=T.orderEmbOfFin hTk
78
+ refine ⟨e,?_⟩
79
+ have hc : ConsistentOn z T:=(consistentOn_iff_compl_isClique _ _).mpr (by
80
+ rw [SimpleGraph.isClique_compl]
81
+ exact hS.isIndepSet.mono (by exact_mod_cast hTS))
82
+ intro a b hab hi
83
+ exact hc (e a) (T.orderEmbOfFin_mem hTk a) (e b) (T.orderEmbOfFin_mem hTk b) (e.strictMono hab) hi
84
+
85
+ omit [Fintype (Projectivization K V)] [Fintype (Projectivization K (Module.Dual K V))] in
86
+ lemma selected_reverse_consistent {N k : ℕ} (z : Fin N→Flag K V)
87
+ (e : Fin k↪o Fin N) (hc : Consistent (fun j=>z (e j))) :
88
+ ScanConsistent ((List.ofFn (fun j=>flagPair (z (e j.rev)))).map toScan) := by
89
+ have hh:=backwardScan_consistent (fun j=>z (e j)) hc
90
+ simpa only [backwardScan,List.map_ofFn,Function.comp_def,flagPair,toScan] using hh
91
+ end
92
+ end SharpLogRamsey
93
+
94
+ end
95
+
96
+ end OAI
lean/OAI/Combinatorics/SharpRamsey/Construction/PrimeConstruction.lean ADDED
@@ -0,0 +1,35 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ import Mathlib
2
+ import OAI.Combinatorics.SharpRamsey.Construction.GraphWitness
3
+ import OAI.Combinatorics.SharpRamsey.Construction.SourceSizes
4
+ import OAI.Combinatorics.SharpRamsey.Bounds.Lower
5
+
6
+ namespace OAI
7
+
8
+ section
9
+ namespace SharpLogRamsey.LowerTransfer
10
+ open Real Filter
11
+ open scoped Topology
12
+ noncomputable section
13
+
14
+ theorem actual_prime_construction (i : ℕ) : PrimeConstruction (i+3) := by
15
+ intro η hη hηu
16
+ have hσ:=Marking.eventually_graph_witness i η hη (by linarith : η ≤ 1)
17
+ have ht : Tendsto (fun q : ℕ=>log (q:ℝ)) atTop atTop:=
18
+ tendsto_log_atTop.comp tendsto_natCast_atTop_atTop
19
+ filter_upwards [ht.eventually hσ,InitialExperiment.eventually_source_sizes i η hη.le]
20
+ with q hgraph hsize
21
+ intro hq
22
+ have : Fact q.Prime:=⟨hq⟩
23
+ have hq0 : (0:ℝ) < q:=by exact_mod_cast hq.pos
24
+ exact hgraph q hsize.1 (exp_log hq0) _ _ hsize.2.2.1 hsize.2.2.2.1
25
+ hsize.2.2.2.2.1 hsize.2.2.2.2.2.1 hsize.2.2.2.2.2.2
26
+
27
+ theorem prime_construction (d : ℕ) (hd : 5 ≤ d) : PrimeConstruction d := by
28
+ have he : d-3+3=d:=by omega
29
+ simpa only [he] using actual_prime_construction (d-3)
30
+ end
31
+ end SharpLogRamsey.LowerTransfer
32
+
33
+ end
34
+
35
+ end OAI
lean/OAI/Combinatorics/SharpRamsey/Construction/RectangleStreamEvent.lean ADDED
@@ -0,0 +1,157 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ import Mathlib
2
+ import OAI.Combinatorics.SharpRamsey.Construction.InitialRectangles
3
+ import OAI.Combinatorics.SharpRamsey.Construction.FiniteStreamTail
4
+
5
+ namespace OAI
6
+
7
+ section
8
+ namespace SharpLogRamsey.RectangleStreamEvent
9
+ open Finset Real InitialRectangles FiniteStreamTail
10
+ open scoped Classical BigOperators
11
+ noncomputable section
12
+ variable {K V : Type*} [Field K] [Finite K] [AddCommGroup V] [Module K V]
13
+ [FiniteDimensional K V]
14
+ local instance flat_JoinedRectangleStreamEvent_1 : Fintype (Flag K V) := @Fintype.ofFinite _ (finite_flags (K:=K) (V:=V))
15
+ local instance flat_JoinedRectangleStreamEvent_2 : Fintype (Submodule K V) := @Fintype.ofFinite _ (finite_subspaces (K:=K) (V:=V))
16
+
17
+ def rectangle (W : Submodule K V) : Finset (Flag K V) :=
18
+ univ.filter (IsRectangle W)
19
+
20
+ lemma rectangle_card {d : ℕ} (hd : 1≤d) (hdim : Module.finrank K V=d+1)
21
+ (W : Submodule K V) : (rectangle W).card≤4*(Nat.card K)^(d-1) := by
22
+ convert card_rectangle_bound hd hdim W using 1
23
+ rw [Nat.card_eq_fintype_card,Fintype.card_subtype]
24
+ rfl
25
+
26
+ lemma flags_card_pos {d : ℕ} (hd : 1≤d) (hdim : Module.finrank K V=d+1) :
27
+ 0<Fintype.card (Flag K V) := by
28
+ have h := card_flags_lower hd hdim
29
+ rw [Nat.card_eq_fintype_card (α:=Flag K V)] at h
30
+ exact lt_of_lt_of_le (pow_pos (Nat.card_pos (α:=K)) _) h
31
+
32
+ lemma rectangle_probability {d : ℕ} (hd : 1≤d) (hdim : Module.finrank K V=d+1)
33
+ (W : Submodule K V) : probability (rectangle W)≤4/(Nat.card K:ℝ)^d := by
34
+ have hp : 0<(Nat.card K:ℝ) := by exact_mod_cast (show 0<Nat.card K from Nat.card_pos)
35
+ have hf : 0<(Fintype.card (Flag K V):ℝ) := by exact_mod_cast flags_card_pos hd hdim
36
+ have hc : ((rectangle W).card:ℝ)≤4*(Nat.card K:ℝ)^(d-1) := by
37
+ exact_mod_cast rectangle_card hd hdim W
38
+ have hb : (Nat.card K:ℝ)^(2*d-1)≤Fintype.card (Flag K V) := by
39
+ exact_mod_cast (show (Nat.card K)^(2*d-1)≤Fintype.card (Flag K V) by
40
+ simpa only [Nat.card_eq_fintype_card] using card_flags_lower hd hdim)
41
+ unfold probability
42
+ calc
43
+ _ ≤ (4*(Nat.card K:ℝ)^(d-1))/(Nat.card K:ℝ)^(2*d-1) :=
44
+ div_le_div₀ (by positivity) hc (by positivity) hb
45
+ _ = _ := by
46
+ have he : 2*d-1=d+(d-1) := by omega
47
+ rw [he,pow_add]
48
+ field_simp
49
+
50
+ lemma rectangle_mean {d N : ℕ} (hd : 1≤d) (hdim : Module.finrank K V=d+1)
51
+ (hN : (N:ℝ)≤(Nat.card K:ℝ)^d*log (Nat.card K)) (W : Submodule K V) :
52
+ (N:ℝ)*probability (rectangle W)≤4*log (Nat.card K) := by
53
+ have hp : 0<(Nat.card K:ℝ) := by exact_mod_cast (show 0<Nat.card K from Nat.card_pos)
54
+ calc
55
+ _ ≤ N*(4/(Nat.card K:ℝ)^d) :=
56
+ mul_le_mul_of_nonneg_left (rectangle_probability hd hdim W) (Nat.cast_nonneg _)
57
+ _ ≤ ((Nat.card K:ℝ)^d*log (Nat.card K))*(4/(Nat.card K:ℝ)^d) :=
58
+ mul_le_mul_of_nonneg_right hN (by positivity)
59
+ _ = _ := by field_simp
60
+
61
+ omit [Field K] [Finite K] [AddCommGroup V] [Module K V] [FiniteDimensional K V] in
62
+ lemma union_exponent (q : ℝ) (hq : 0<q) (n : ℕ) :
63
+ q^n*exp (4*log q-(((n:ℝ)+5)/log 2*log q)*log 2)=1/q := by
64
+ have hl : log (2:ℝ)≠0 := ne_of_gt (log_pos (by norm_num))
65
+ have he : 4*log q-(((n:ℝ)+5)/log 2*log q)*log 2=
66
+ -(n:ℝ)*log q-log q := by field_simp; ring
67
+ rw [he]
68
+ have hpow : q^n=exp ((n:ℝ)*log q) := by rw [exp_nat_mul,exp_log hq]
69
+ rw [hpow,←exp_add]
70
+ rw [show (n:ℝ)*log q+(-(n:ℝ)*log q-log q)= -log q by ring,
71
+ exp_neg,exp_log hq,one_div]
72
+
73
+ theorem simultaneous_rectangle_tail {d N : ℕ} (hd : 1≤d)
74
+ (hdim : Module.finrank K V=d+1)
75
+ (hN : (N:ℝ)≤(Nat.card K:ℝ)^d*log (Nat.card K)) :
76
+ probability (univ.filter (fun z : Fin N→Flag K V=>∃ W : Submodule K V,
77
+ (((d+1)^2:ℕ)+5:ℝ)/log 2*log (Nat.card K)≤hits (rectangle W) z)) ≤
78
+ 1/(Nat.card K:ℝ) := by
79
+ have hf := flags_card_pos hd hdim
80
+ let : Nonempty (Flag K V) := Fintype.card_pos_iff.mp hf
81
+ let t : ℝ := (((d+1)^2:ℕ)+5:ℝ)/log 2*log (Nat.card K)
82
+ have hs := simultaneous_tail (rectangle (K:=K) (V:=V)) N t (4*log (Nat.card K))
83
+ (rectangle_mean hd hdim hN)
84
+ have hc : (Fintype.card (Submodule K V):ℝ)≤(Nat.card K:ℝ)^((d+1)^2) := by
85
+ have h := card_subspaces_le (K:=K) (V:=V)
86
+ rw [hdim,Nat.card_eq_fintype_card] at h
87
+ exact_mod_cast h
88
+ calc
89
+ _ ≤ (Fintype.card (Submodule K V):ℝ)*exp (4*log (Nat.card K)-t*log 2) := hs
90
+ _ ≤ (Nat.card K:ℝ)^((d+1)^2)*exp (4*log (Nat.card K)-t*log 2) :=
91
+ mul_le_mul_of_nonneg_right hc (le_of_lt (exp_pos _))
92
+ _ = _ := union_exponent _ (by exact_mod_cast (show 0<Nat.card K from Nat.card_pos)) _
93
+
94
+ theorem source_length_tail {d : ℕ} (hd : 1≤d) (hdim : Module.finrank K V=d+1) :
95
+ probability (univ.filter (fun z : Fin ⌊(Nat.card K:ℝ)^d*log (Nat.card K)⌋₊→Flag K V=>
96
+ ∃ W : Submodule K V,
97
+ (((d+1)^2:ℕ)+5:ℝ)/log 2*log (Nat.card K)≤hits (rectangle W) z)) ≤
98
+ 1/(Nat.card K:ℝ) := by
99
+ apply simultaneous_rectangle_tail hd hdim
100
+ apply Nat.floor_le
101
+ apply mul_nonneg (by positivity)
102
+ apply log_nonneg
103
+ exact_mod_cast (Nat.le_of_lt (Finite.one_lt_card (α:=K)))
104
+
105
+ omit [Finite K] in
106
+
107
+ lemma dual_rectangle (U : Submodule K (Module.Dual K V)) (f : Flag K V) :
108
+ IsRectangle U.dualCoannihilator f ↔
109
+ f.dualPoint.submodule≤U ∧ f.point.submodule≤U.dualCoannihilator := by
110
+ simp only [IsRectangle,Subspace.dualCoannihilator_dualAnnihilator_eq,and_comm]
111
+
112
+ lemma inherited_occupancy {N n : ℕ} (z : Fin N→Flag K V) (e : Fin n↪Fin N)
113
+ (M : ℝ) (h : ∀ W : Submodule K V,(hits (rectangle W) z:ℝ)<M) :
114
+ ∀ W : Submodule K V,(hits (rectangle W) (z∘e):ℝ)<M := by
115
+ intro W
116
+ exact lt_of_le_of_lt (by exact_mod_cast hits_embedding (rectangle W) z e) (h W)
117
+
118
+ theorem simultaneous_good_probability {d N : ℕ} (hd : 1≤d)
119
+ (hdim : Module.finrank K V=d+1)
120
+ (hN : (N:ℝ)≤(Nat.card K:ℝ)^d*log (Nat.card K)) :
121
+ 1-1/(Nat.card K:ℝ) ≤
122
+ probability (univ.filter (fun z : Fin N→Flag K V=>∀ W : Submodule K V,
123
+ (hits (rectangle W) z:ℝ)<(((d+1)^2:ℕ)+5:ℝ)/log 2*log (Nat.card K))) := by
124
+ let : Nonempty (Flag K V) := Fintype.card_pos_iff.mp (flags_card_pos hd hdim)
125
+ let B := univ.filter (fun z : Fin N→Flag K V=>∃ W : Submodule K V,
126
+ (((d+1)^2:ℕ)+5:ℝ)/log 2*log (Nat.card K)≤hits (rectangle W) z)
127
+ have he : Bᶜ=univ.filter (fun z : Fin N→Flag K V=>∀ W : Submodule K V,
128
+ (hits (rectangle W) z:ℝ)<(((d+1)^2:ℕ)+5:ℝ)/log 2*log (Nat.card K)) := by
129
+ ext z
130
+ simp only [B,mem_compl,mem_filter,mem_univ,true_and,not_exists,not_le]
131
+ rw [←he]
132
+ have hc : probability Bᶜ=1-probability B := by
133
+ convert probability_compl B using 1
134
+ congr 1
135
+ ext z
136
+ simp
137
+ rw [hc]
138
+ exact sub_le_sub_left (simultaneous_rectangle_tail hd hdim hN) 1
139
+
140
+ theorem source_good_probability {d : ℕ} (hd : 1≤d) (hdim : Module.finrank K V=d+1) :
141
+ (1:ℝ)/2 ≤
142
+ probability (univ.filter (fun z : Fin ⌊(Nat.card K:ℝ)^d*log (Nat.card K)⌋₊→Flag K V=>
143
+ ∀ W : Submodule K V,
144
+ (hits (rectangle W) z:ℝ)<(((d+1)^2:ℕ)+5:ℝ)/log 2*log (Nat.card K))) := by
145
+ have hq : 2≤(Nat.card K:ℝ) := by exact_mod_cast (Finite.one_lt_card (α:=K))
146
+ have hp : 0<(Nat.card K:ℝ) := by linarith
147
+ have hh : 1/(Nat.card K:ℝ)≤1/2 := (div_le_iff₀ hp).mpr (by linarith)
148
+ apply (show (1:ℝ)/2≤1-1/(Nat.card K:ℝ) by linarith).trans
149
+ apply simultaneous_good_probability hd hdim
150
+ exact Nat.floor_le (mul_nonneg (by positivity) (log_nonneg (by linarith)))
151
+
152
+ end
153
+ end SharpLogRamsey.RectangleStreamEvent
154
+
155
+ end
156
+
157
+ end OAI
lean/OAI/Combinatorics/SharpRamsey/Construction/SourceSizes.lean ADDED
@@ -0,0 +1,47 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ import Mathlib
2
+
3
+ namespace OAI
4
+
5
+ section
6
+ namespace SharpLogRamsey.InitialExperiment
7
+ open Real Filter
8
+ open scoped Topology
9
+ noncomputable section
10
+
11
+ lemma eventually_source_sizes (i : ℕ) (η : ℝ) (hη : 0 ≤ η) :
12
+ ∀ᶠ q : ℕ in atTop,
13
+ 3 ≤ q ∧ 1 ≤ log (q:ℝ) ∧
14
+ 0 < ⌊(q:ℝ)*(log (q:ℝ))^(1+η)⌋₊ ∧
15
+ ⌊(q:ℝ)*(log (q:ℝ))^(1+η)⌋₊ ≤ ⌊(q:ℝ)^(i+3)*log (q:ℝ)⌋₊ ∧
16
+ (⌊(q:ℝ)*(log (q:ℝ))^(1+η)⌋₊:ℝ) ≤ (q:ℝ)*(log (q:ℝ))^(1+η) ∧
17
+ ((q:ℝ)*(log (q:ℝ))^(1+η))/2 ≤ (⌊(q:ℝ)*(log (q:ℝ))^(1+η)⌋₊:ℝ) ∧
18
+ (⌊(q:ℝ)^(i+3)*log (q:ℝ)⌋₊:ℝ) ≤ (q:ℝ)^(i+3)*log (q:ℝ) := by
19
+ have hsmall := (isLittleO_log_rpow_rpow_atTop η (by norm_num : (0:ℝ)<1)).bound (by norm_num : (0:ℝ)<1)
20
+ filter_upwards [tendsto_natCast_atTop_atTop.eventually hsmall,
21
+ (tendsto_log_atTop.comp tendsto_natCast_atTop_atTop).eventually_ge_atTop 1,
22
+ eventually_ge_atTop (3:ℕ)] with q hsmall hl hq
23
+ change 1 ≤ log (q:ℝ) at hl
24
+ have hq1 : (1:ℝ) ≤ q:=by exact_mod_cast (show 1 ≤ q by omega)
25
+ have hq2 : (2:ℝ) ≤ q:=by exact_mod_cast (show 2 ≤ q by omega)
26
+ have hq0 : (0:ℝ) < q:=by linarith
27
+ have hl0 : 0 < log (q:ℝ):=by linarith
28
+ simp only [Real.norm_eq_abs,abs_of_pos (rpow_pos_of_pos hl0 _),
29
+ rpow_one,abs_of_pos hq0,one_mul] at hsmall
30
+ have hpow : 1 ≤ (log (q:ℝ))^(1+η):=one_le_rpow hl (by linarith)
31
+ have hQ : 2 ≤ (q:ℝ)*(log (q:ℝ))^(1+η):=by nlinarith only [hpow,hq2]
32
+ have hf : (⌊(q:ℝ)*(log (q:ℝ))^(1+η)⌋₊:ℝ)+1 > (q:ℝ)*(log (q:ℝ))^(1+η):=Nat.lt_floor_add_one _
33
+ have hlower : ((q:ℝ)*(log (q:ℝ))^(1+η))/2 ≤ (⌊(q:ℝ)*(log (q:ℝ))^(1+η)⌋₊:ℝ):=by linarith
34
+ refine ⟨hq,hl,?_,?_,Nat.floor_le (by positivity),hlower,Nat.floor_le (by positivity)⟩
35
+ · exact (Nat.one_le_floor_iff _).mpr (by linarith)
36
+ · apply Nat.floor_mono
37
+ calc
38
+ _ = (q:ℝ)*log (q:ℝ)*(log (q:ℝ))^η:=by rw [rpow_add hl0,rpow_one];ring
39
+ _ ≤ (q:ℝ)*log (q:ℝ)*(q:ℝ):=mul_le_mul_of_nonneg_left hsmall (by positivity)
40
+ _ = (q:ℝ)^2*log (q:ℝ):=by ring
41
+ _ ≤ _:=mul_le_mul_of_nonneg_right (pow_le_pow_right₀ hq1 (by omega : 2 ≤ i+3)) hl0.le
42
+ end
43
+ end SharpLogRamsey.InitialExperiment
44
+
45
+ end
46
+
47
+ end OAI
lean/OAI/Combinatorics/SharpRamsey/Entropy/AnchorEventsRealized.lean ADDED
@@ -0,0 +1,478 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ import Mathlib
2
+ import OAI.Combinatorics.SharpRamsey.Entropy.WitnessList
3
+
4
+ namespace OAI
5
+
6
+ /-! High moments, finite-field subspaces, and incidence bounds. -/
7
+
8
+ section
9
+ open MeasureTheory ProbabilityTheory
10
+ open scoped BigOperators NNReal
11
+ open MeasureTheory ProbabilityTheory
12
+ open scoped BigOperators NNReal
13
+ open scoped BigOperators
14
+ open MeasureTheory ProbabilityTheory
15
+ open scoped BigOperators ENNReal NNReal
16
+ namespace SharpRamseyFive.ResidualCertificate
17
+ variable {V : Type*} [Fintype V] [DecidableEq V]
18
+ section SharedHitGeometry
19
+ open scoped Classical
20
+ variable {D B : Type*} [Fintype D] [DecidableEq D] [Fintype B] [DecidableEq B]
21
+ omit [Fintype D] [Fintype B] in
22
+ lemma anchorEvents_realized (hit : B → D → Prop) (C : Finset (B × D))
23
+ (A : Finset D) (r : A → B) (h : ∀ d : A, hit (r d) d.val) :
24
+ Realized hit (anchorEvents C A r) := by
25
+ intro p hp
26
+ obtain ⟨d, _, rfl⟩ := Finset.mem_image.mp hp
27
+ exact h d
28
+
29
+ omit [Fintype V] [Fintype D] in
30
+
31
+ theorem anchor_step_witnesses (s : V → Finset D) (hit : B → D → Prop)
32
+ (E : Finset V) (C : Finset (B × D)) (v : V) (a : ℕ)
33
+ (hC : DictionaryInvariant s E C) (hreal : Realized hit C)
34
+ (ha : a ≤ (touchedToEncoded s hit E v).card) :
35
+ ∃ (A : Finset D) (r : A → B), A.card = a ∧
36
+ A ⊆ s v ∧ A ⊆ encodedDirections s E ∧
37
+ (∀ d : A, hit (r d) d.val) ∧
38
+ Disjoint C (anchorEvents C A r) ∧
39
+ Realized hit (C ∪ anchorEvents C A r) ∧
40
+ DictionaryInvariant s (insert v E) (C ∪ anchorEvents C A r) ∧
41
+ (C ∪ anchorEvents C A r).card ≤ C.card + a := by
42
+ classical
43
+ obtain ⟨A, hA, hAc⟩ := Finset.exists_subset_card_eq ha
44
+ have hh (d : A) : ∃ r, hit r d.val := (Finset.mem_filter.mp (hA d.property)).2
45
+ choose r hr using hh
46
+ have hAs : A ⊆ s v := fun d hd => (Finset.mem_inter.mp
47
+ (Finset.mem_filter.mp (hA hd)).1).1
48
+ have hAE : A ⊆ encodedDirections s E := fun d hd => (Finset.mem_inter.mp
49
+ (Finset.mem_filter.mp (hA hd)).1).2
50
+ refine ⟨A, r, hAc, hAs, hAE, hr, anchorEvents_fresh C A r,
51
+ realized_union hit hreal (anchorEvents_realized hit C A r hr), ?_, ?_⟩
52
+ · unfold DictionaryInvariant
53
+ rw [paidDirections_union]
54
+ apply Finset.union_subset
55
+ · exact hC.trans (encodedDirections_mono s (Finset.subset_insert _ _))
56
+ · exact (anchorEvents_directions C A r).trans
57
+ (hAE.trans (encodedDirections_mono s (Finset.subset_insert _ _)))
58
+ · exact (Finset.card_union_le _ _).trans (Nat.add_le_add_left
59
+ ((anchorEvents_card C A r).trans_eq hAc) _)
60
+
61
+ noncomputable def pairEvents (T : Finset B) (d : T → D) : Finset (B × D) :=
62
+ T.attach.image (fun r => (r.val, d r))
63
+
64
+ omit [Fintype D] [Fintype B] in
65
+ lemma pairEvents_card (T : Finset B) (d : T → D) :
66
+ (pairEvents T d).card = T.card := by
67
+ rw [pairEvents, Finset.card_image_of_injective]
68
+ · exact Finset.card_attach
69
+ · intro r r' he
70
+ exact Subtype.ext (congrArg Prod.fst he)
71
+
72
+ omit [Fintype D] [Fintype B] in
73
+ lemma pairEvents_realized (hit : B → D → Prop) (T : Finset B) (d : T → D)
74
+ (h : ∀ r : T, hit r.val (d r)) : Realized hit (pairEvents T d) := by
75
+ intro p hp
76
+ obtain ⟨r, _, rfl⟩ := Finset.mem_image.mp hp
77
+ exact h r
78
+
79
+ omit [Fintype V] [Fintype D] in
80
+
81
+ theorem pair_step_witnesses (s : V → Finset D) (hit : B → D → Prop)
82
+ (E : Finset V) (C : Finset (B × D)) (v u : V) (K : ℕ)
83
+ (hC : DictionaryInvariant s E C) (hreal : Realized hit C)
84
+ (hp : K ≤ (sharedBatches (outsideDirections s E) hit v u).card) :
85
+ ∃ (T : Finset B) (d : T → D), T.card = K ∧
86
+ (∀ r : T, d r ∈ s v ∩ s u ∧ d r ∉ encodedDirections s E ∧ hit r.val (d r)) ∧
87
+ Disjoint C (pairEvents T d) ∧ Realized hit (C ∪ pairEvents T d) ∧
88
+ DictionaryInvariant s (insert v (insert u E)) (C ∪ pairEvents T d) ∧
89
+ (C ∪ pairEvents T d).card = C.card + K := by
90
+ classical
91
+ obtain ⟨T, hT, hTc⟩ := Finset.exists_subset_card_eq hp
92
+ have hh (r : T) : ∃ d, d ∈ s v ∩ s u ∧ d ∉ encodedDirections s E ∧ hit r.val d := by
93
+ obtain ⟨d, hd, hr⟩ := (Finset.mem_filter.mp (hT r.property)).2
94
+ obtain ⟨hdv, hdu⟩ := Finset.mem_inter.mp hd
95
+ exact ⟨d, Finset.mem_inter.mpr ⟨(Finset.mem_sdiff.mp hdv).1,
96
+ (Finset.mem_sdiff.mp hdu).1⟩, (Finset.mem_sdiff.mp hdv).2, hr⟩
97
+ choose d hd using hh
98
+ have hfresh : Disjoint C (pairEvents T d) := by
99
+ apply Finset.disjoint_left.mpr
100
+ intro p hp he
101
+ obtain ⟨r, _, rfl⟩ := Finset.mem_image.mp he
102
+ exact (hd r).2.1 (hC (Finset.mem_image_of_mem Prod.snd hp))
103
+ refine ⟨T, d, hTc, hd, hfresh,
104
+ realized_union hit hreal (pairEvents_realized hit T d (fun r => (hd r).2.2)), ?_, ?_⟩
105
+ · unfold DictionaryInvariant
106
+ rw [paidDirections_union]
107
+ apply Finset.union_subset
108
+ · exact hC.trans (encodedDirections_mono s ((Finset.subset_insert _ _).trans
109
+ (Finset.subset_insert _ _)))
110
+ · intro z hz
111
+ obtain ⟨p, hp, rfl⟩ := Finset.mem_image.mp hz
112
+ obtain ⟨r, _, rfl⟩ := Finset.mem_image.mp hp
113
+ exact Finset.mem_biUnion.mpr ⟨v, Finset.mem_insert_self _ _,
114
+ (Finset.mem_inter.mp (hd r).1).1⟩
115
+ · rw [Finset.card_union_of_disjoint hfresh, pairEvents_card, hTc]
116
+
117
+ inductive PaidStep (s : V → Finset D) (hit : B → D → Prop) (a K : ℕ) :
118
+ (Finset V × Finset (B × D)) → (Finset V × Finset (B × D)) → Prop
119
+ | anchor (E : Finset V) (C : Finset (B × D)) (v : V) (hv : v ∉ E)
120
+ (A : Finset D) (hA : A.card = a) (hAs : A ⊆ s v)
121
+ (hAE : A ⊆ encodedDirections s E) (r : A → B) (hr : ∀ d : A, hit (r d) d.val) :
122
+ PaidStep s hit a K (E, C) (insert v E, C ∪ anchorEvents C A r)
123
+ | pair (E : Finset V) (C : Finset (B × D)) (v u : V)
124
+ (hv : v ∉ E) (hu : u ∉ E) (hne : v ≠ u)
125
+ (T : Finset B) (hT : T.card = K) (d : T → D)
126
+ (hd : ∀ r : T, d r ∈ s v ∩ s u ∧ d r ∉ encodedDirections s E ∧ hit r.val (d r)) :
127
+ PaidStep s hit a K (E, C) (insert v (insert u E), C ∪ pairEvents T d)
128
+
129
+ omit [Fintype V] in
130
+ omit [Fintype D] [Fintype B] in
131
+ lemma paidStep_realized (s : V → Finset D) (hit : B → D → Prop) (a K : ℕ)
132
+ {Z Z' : Finset V × Finset (B × D)} (h : PaidStep s hit a K Z Z')
133
+ (hreal : Realized hit Z.2) : Realized hit Z'.2 := by
134
+ cases h with
135
+ | anchor E C v hv A hA hAs hAE r hr =>
136
+ exact realized_union hit hreal (anchorEvents_realized hit C A r hr)
137
+ | pair E C v u hv hu hne T hT d hd =>
138
+ exact realized_union hit hreal (pairEvents_realized hit T d (fun r => (hd r).2.2))
139
+ omit [Fintype V] [Fintype D] [Fintype B] in
140
+
141
+ lemma paidStep_dictionary (s : V → Finset D) (hit : B → D → Prop) (a K : ℕ)
142
+ {Z Z' : Finset V × Finset (B × D)} (h : PaidStep s hit a K Z Z')
143
+ (hC : DictionaryInvariant s Z.1 Z.2) : DictionaryInvariant s Z'.1 Z'.2 := by
144
+ cases h with
145
+ | anchor E C v hv A hA hAs hAE r hr =>
146
+ unfold DictionaryInvariant
147
+ rw [paidDirections_union]
148
+ exact Finset.union_subset
149
+ (hC.trans (encodedDirections_mono s (Finset.subset_insert _ _)))
150
+ ((anchorEvents_directions C A r).trans
151
+ (hAE.trans (encodedDirections_mono s (Finset.subset_insert _ _))))
152
+ | pair E C v u hv hu hne T hT d hd =>
153
+ unfold DictionaryInvariant
154
+ rw [paidDirections_union]
155
+ refine Finset.union_subset
156
+ (hC.trans (encodedDirections_mono s ((Finset.subset_insert _ _).trans
157
+ (Finset.subset_insert _ _)))) ?_
158
+ intro z hz
159
+ obtain ⟨p, hp, rfl⟩ := Finset.mem_image.mp hz
160
+ obtain ⟨r, _, rfl⟩ := Finset.mem_image.mp hp
161
+ exact Finset.mem_biUnion.mpr ⟨v, Finset.mem_insert_self _ _,
162
+ (Finset.mem_inter.mp (hd r).1).1⟩
163
+
164
+ omit [Fintype V] in
165
+ omit [Fintype D] [Fintype B] in
166
+ lemma paidStep_cost (s : V → Finset D) (hit : B → D → Prop) (a K : ℕ) (haK : a ≤ K)
167
+ {Z Z' : Finset V × Finset (B × D)} (h : PaidStep s hit a K Z Z') :
168
+ Z'.2.card + K * Z.1.card ≤ Z.2.card + K * Z'.1.card := by
169
+ cases h with
170
+ | anchor E C v hv A hA hAs hAE r hr =>
171
+ simp only [Finset.card_insert_of_notMem hv, Nat.mul_add, Nat.mul_one]
172
+ have hc := (Finset.card_union_le C (anchorEvents C A r)).trans
173
+ (Nat.add_le_add_left ((anchorEvents_card C A r).trans_eq hA) C.card)
174
+ omega
175
+ | pair E C v u hv hu hne T hT d hd =>
176
+ have hv' : v ∉ insert u E := by simp [hne, hv]
177
+ simp only [Finset.card_insert_of_notMem hv', Finset.card_insert_of_notMem hu,
178
+ Nat.mul_add, Nat.mul_one]
179
+ have hc := Finset.card_union_le C (pairEvents T d)
180
+ rw [pairEvents_card, hT] at hc
181
+ omega
182
+
183
+ omit [Fintype V] [Fintype D] in
184
+
185
+ lemma encodingStep_lift (s : V → Finset D) (hit : B → D → Prop) (a K : ℕ)
186
+ {E F : Finset V} (h : EncodingStep s hit a K E F)
187
+ (C : Finset (B × D)) (hC : DictionaryInvariant s E C) (hreal : Realized hit C) :
188
+ ∃ C', PaidStep s hit a K (E, C) (F, C') ∧
189
+ DictionaryInvariant s F C' ∧ Realized hit C' := by
190
+ cases h with
191
+ | anchor v hv ha =>
192
+ obtain ⟨A, r, hAc, hAs, hAE, hr, _, hh, hdict, _⟩ :=
193
+ anchor_step_witnesses s hit E C v a hC hreal ha
194
+ exact ⟨_, .anchor E C v hv A hAc hAs hAE r hr, hdict, hh⟩
195
+ | pair v u hv hu hne hp =>
196
+ obtain ⟨T, d, hTc, hd, _, hh, hdict, _⟩ :=
197
+ pair_step_witnesses s hit E C v u K hC hreal hp
198
+ exact ⟨_, .pair E C v u hv hu hne T hTc d hd, hdict, hh⟩
199
+ omit [Fintype V] [Fintype D] in
200
+
201
+ lemma encoding_path_lift (s : V → Finset D) (hit : B → D → Prop) (a K : ℕ)
202
+ {E F : Finset V} (h : Relation.ReflTransGen (EncodingStep s hit a K) E F)
203
+ (C : Finset (B × D)) (hC : DictionaryInvariant s E C) (hreal : Realized hit C) :
204
+ ∃ C', Relation.ReflTransGen (PaidStep s hit a K) (E, C) (F, C') ∧
205
+ DictionaryInvariant s F C' ∧ Realized hit C' := by
206
+ induction h with
207
+ | refl => exact ⟨C, .refl, hC, hreal⟩
208
+ | @tail F G h hFG ih =>
209
+ obtain ⟨C', hpath, hc', hr'⟩ := ih
210
+ obtain ⟨C'', hstep, hc'', hr''⟩ := encodingStep_lift s hit a K hFG C' hc' hr'
211
+ exact ⟨C'', hpath.tail hstep, hc'', hr''⟩
212
+
213
+ omit [Fintype V] in
214
+ omit [Fintype D] [Fintype B] in
215
+
216
+ lemma paid_path_cost (s : V → Finset D) (hit : B → D → Prop) (a K : ℕ) (haK : a ≤ K)
217
+ {Z Z' : Finset V × Finset (B × D)}
218
+ (h : Relation.ReflTransGen (PaidStep s hit a K) Z Z') :
219
+ Z'.2.card + K * Z.1.card ≤ Z.2.card + K * Z'.1.card := by
220
+ induction h with
221
+ | refl => omega
222
+ | @tail F G h hFG ih =>
223
+ have hc := paidStep_cost s hit a K haK hFG
224
+ omega
225
+
226
+ omit [Fintype D] in
227
+
228
+ theorem terminal_paid_certificate (s : V → Finset D) (hit : B → D → Prop)
229
+ (a K : ℕ) (haK : a ≤ K) (E : Finset V) :
230
+ ∃ F C, Relation.ReflTransGen (PaidStep s hit a K) (E, ∅) (F, C) ∧
231
+ DictionaryInvariant s F C ∧ Realized hit C ∧
232
+ C.card ≤ K * Fintype.card V ∧ (paidDirections C).card ≤ K * Fintype.card V ∧
233
+ (∀ v ∉ F, (touchedToEncoded s hit F v).card < a) ∧
234
+ ∀ v ∉ F, ∀ u ∉ F, v ≠ u →
235
+ (sharedBatches (outsideDirections s F) hit v u).card < K := by
236
+ classical
237
+ obtain ⟨F, hF, ha, hp⟩ := exists_terminal_encoding s hit a K E
238
+ have hc : DictionaryInvariant s E (∅ : Finset (B × D)) := by
239
+ simp [DictionaryInvariant, paidDirections]
240
+ have hr : Realized hit (∅ : Finset (B × D)) := by simp [Realized]
241
+ obtain ⟨C, hpath, hC, hreal⟩ := encoding_path_lift s hit a K hF ∅ hc hr
242
+ have hcost := paid_path_cost s hit a K haK hpath
243
+ simp only [Finset.card_empty, zero_add] at hcost
244
+ have hbound : C.card ≤ K * Fintype.card V := by
245
+ have hcard := Nat.mul_le_mul_left K (Finset.card_le_univ F)
246
+ omega
247
+ exact ⟨F, C, hpath, hC, hreal, hbound,
248
+ Finset.card_image_le.trans hbound, ha, hp⟩
249
+
250
+ end SharedHitGeometry
251
+
252
+ end SharpRamseyFive.ResidualCertificate
253
+
254
+ namespace SharpRamseyFive.CertificateCover
255
+ open SharpRamseyFive.StaticCertificates
256
+ open SharpRamseyFive.CertificateEnumeration
257
+ open SharpRamseyFive.WeightedPrograms
258
+ open SharpRamseyFive.ResidualCertificate
259
+ open scoped BigOperators
260
+
261
+ variable {V H D B : Type*} [Fintype V] [DecidableEq V]
262
+ [Fintype H] [DecidableEq H] [Fintype D] [DecidableEq D]
263
+ [Fintype B] [DecidableEq B]
264
+ variable (lines : H → Finset D)
265
+
266
+ def Agrees (f : V → H) (E : Finset V) (s : State V H D B) : Prop :=
267
+ ∀ v ∈ E, s.1 v = f v
268
+
269
+ omit [Fintype V] [Fintype H] [DecidableEq H] [Fintype D] [DecidableEq D] [Fintype B] [DecidableEq B] in
270
+ lemma agrees_update (f : V → H) (E : Finset V) (s : State V H D B)
271
+ (hs : Agrees f E s) (v : V) (C : Finset (B × D)) :
272
+ Agrees f (insert v E) (Function.update s.1 v (f v), C) := by
273
+ intro u hu
274
+ rcases Finset.mem_insert.mp hu with rfl | hu
275
+ · simp
276
+ · by_cases he : u = v
277
+ · subst u; simp
278
+ · simpa [Function.update_of_ne he] using hs u hu
279
+
280
+ noncomputable def anchorName (C : Finset (B × D)) (S : Finset D)
281
+ (d : D) (hd : d ∈ S) (r : B) : AnchorChoice C S :=
282
+ if he : d ∈ dictionary C then .inl ⟨d, Finset.mem_inter.mpr ⟨hd, he⟩⟩
283
+ else .inr (r, ⟨d, Finset.mem_sdiff.mpr ⟨hd, he⟩⟩)
284
+
285
+ omit [Fintype D] [Fintype B] [DecidableEq B] in
286
+ lemma anchorName_direction (C : Finset (B × D)) (S : Finset D)
287
+ (d : D) (hd : d ∈ S) (r : B) : (anchorName C S d hd r).direction = d := by
288
+ unfold anchorName
289
+ split_ifs <;> rfl
290
+
291
+ omit [Fintype D] [Fintype B] [DecidableEq B] in
292
+ lemma anchorName_realized (hit : B → D → Prop) (C : Finset (B × D))
293
+ (S : Finset D) (d : D) (hd : d ∈ S) (r : B) (hr : hit r d) :
294
+ Realized hit (anchorName C S d hd r).requirements := by
295
+ unfold anchorName
296
+ split_ifs <;> simp_all [AnchorChoice.requirements, Realized]
297
+
298
+ omit [Fintype D] [Fintype B] [DecidableEq B] in
299
+ lemma anchor_req_card {C : Finset (B × D)} {S : Finset D} (a : AnchorChoice C S) :
300
+ a.requirements.card ≤ 1 := by
301
+ cases a <;> simp [AnchorChoice.requirements]
302
+
303
+ omit [Fintype D] [Fintype B] [DecidableEq B] in
304
+ lemma anchor_req_directions {C : Finset (B × D)} {S : Finset D}
305
+ (a : AnchorChoice C S) : paidDirections a.requirements ⊆ {a.direction} := by
306
+ cases a <;> simp [AnchorChoice.requirements, AnchorChoice.direction, paidDirections]
307
+ omit [Fintype D] [Fintype B] [DecidableEq B] in
308
+
309
+ lemma anchor_req_disjoint {C : Finset (B × D)} {S T : Finset D}
310
+ (a : AnchorChoice C S) (b : AnchorChoice C T) (hne : a.direction ≠ b.direction) :
311
+ Disjoint a.requirements b.requirements := by
312
+ apply Finset.disjoint_left.mpr
313
+ intro p ha hb
314
+ have ha' := anchor_req_directions a (Finset.mem_image_of_mem Prod.snd ha)
315
+ have hb' := anchor_req_directions b (Finset.mem_image_of_mem Prod.snd hb)
316
+ exact hne ((Finset.mem_singleton.mp ha').symm.trans (Finset.mem_singleton.mp hb'))
317
+
318
+ omit [Fintype V] [DecidableEq V] [Fintype H] [DecidableEq H] in
319
+ omit [Fintype D] in
320
+ lemma rawCost_eq_weight (rate : D → ℝ≥0) (denom : ℝ) (K : ℕ) (low : Bool)
321
+ (s : State V H D B) (a : Action lines K s)
322
+ (henabled : ∀ c : OneChoice lines s, a = .inr (.inl c) → low = true) :
323
+ rawCost lines rate denom K low s a =
324
+ weight (fun p : B × D => rate p.2) (newEvents lines K s a) /
325
+ denom ^ degree lines K s a := by
326
+ rcases a with a | a
327
+ · simp [rawCost, newEvents, degree, weight]
328
+ rcases a with a | a
329
+ · rw [henabled a rfl]
330
+ simp [rawCost, newEvents, degree, oneCost, AnchorChoice.weight]
331
+ rcases a with a | a
332
+ · simp only [rawCost, newEvents, degree, twoCost, pow_one]
333
+ rw [weight_union_fresh _ _ _ (anchor_req_disjoint _ _ a.2.2.2.2.2.property.1),
334
+ AnchorChoice.weight, AnchorChoice.weight]
335
+ · rfl
336
+
337
+ omit [Fintype V] [DecidableEq V] [Fintype H] [DecidableEq H] in
338
+ omit [Fintype D] in
339
+ lemma newEvents_card (K : ℕ) (hK : 2 ≤ K) (s : State V H D B) (a : Action lines K s) :
340
+ (newEvents lines K s a).card ≤ K * degree lines K s a := by
341
+ rcases a with a | a
342
+ · simp [newEvents, degree]
343
+ rcases a with a | a
344
+ · simpa [newEvents, degree] using (anchor_req_card a.2.2.1).trans (by omega : 1 ≤ K)
345
+ rcases a with a | a
346
+ · change (a.2.2.2.1.requirements ∪ a.2.2.2.2.1.requirements).card ≤ K * 1
347
+ have hc := Finset.card_union_le a.2.2.2.1.requirements a.2.2.2.2.1.requirements
348
+ have h1 := anchor_req_card a.2.2.2.1
349
+ have h2 := anchor_req_card a.2.2.2.2.1
350
+ omega
351
+ · simp only [newEvents, degree, witnessRequirements_card]
352
+ have ht := (Finset.mem_powersetCard.mp a.2.2.2.2.1.property).2
353
+ omega
354
+
355
+ def Enabled (K : ℕ) (low : Bool) (s : State V H D B) (a : Action lines K s) : Prop :=
356
+ ∀ c : OneChoice lines s, a = .inr (.inl c) → low = true
357
+
358
+ omit [Fintype H] [DecidableEq H] in
359
+ omit [Fintype D] in
360
+
361
+ lemma step_weight (rate : D → ℝ≥0) (denom : ℝ) (hdenom : denom ≠ 0)
362
+ (K : ℕ) (low : Bool) (s : State V H D B) (a : Action lines K s)
363
+ (he : Enabled lines K low s a) (hs : s.2.card ≤ K * Fintype.card V) :
364
+ weight (fun p : B × D => rate p.2) (advance lines K s a).2 =
365
+ weight (fun p : B × D => rate p.2) s.2 *
366
+ programCost lines rate denom K low s a * denom ^ degree lines K s a := by
367
+ rw [programCost, ite_eq_left hs, rawCost_eq_weight lines rate denom K low s a he]
368
+ rw [advance, weight_union_fresh _ _ _ (newEvents_fresh lines K s a)]
369
+ field_simp
370
+
371
+ def Coherent (f : V → H) (hit : B → D → Prop) (K : ℕ)
372
+ (E : Finset V) (s : State V H D B) : Prop :=
373
+ Agrees f E s ∧ DictionaryInvariant (fun v => lines (f v)) E s.2 ∧
374
+ Realized hit s.2 ∧ s.2.card ≤ K * E.card
375
+ omit [Fintype V] [Fintype H] [DecidableEq H] in
376
+ omit [Fintype D] in
377
+
378
+ lemma coherent_step (f : V → H) (hit : B → D → Prop) (K : ℕ) (hK : 2 ≤ K)
379
+ (E F : Finset V) (s : State V H D B) (hs : Coherent lines f hit K E s)
380
+ (a : Action lines K s) (hEF : E ⊆ F)
381
+ (hag : Agrees f F (advance lines K s a))
382
+ (hdict : paidDirections (newEvents lines K s a) ⊆ encodedDirections (fun v => lines (f v)) F)
383
+ (hreal : Realized hit (newEvents lines K s a))
384
+ (hcard : F.card = E.card + degree lines K s a) :
385
+ Coherent lines f hit K F (advance lines K s a) := by
386
+ refine ⟨hag, ?_, realized_union hit hs.2.2.1 hreal, ?_⟩
387
+ · change paidDirections (s.2 ∪ newEvents lines K s a) ⊆ _
388
+ rw [paidDirections_union]
389
+ exact Finset.union_subset
390
+ (hs.2.1.trans (encodedDirections_mono _ hEF)) hdict
391
+ · change (s.2 ∪ newEvents lines K s a).card ≤ _
392
+ apply (Finset.card_union_le _ _).trans
393
+ calc
394
+ _ ≤ K * E.card + K * degree lines K s a :=
395
+ Nat.add_le_add hs.2.2.2 (newEvents_card lines K hK s a)
396
+ _ = _ := by rw [hcard, Nat.mul_add]
397
+
398
+ omit [Fintype V] [DecidableEq V] [Fintype H] [DecidableEq H] in
399
+ omit [Fintype D] [DecidableEq B] in
400
+ lemma touched_anchor (f : V → H) (hit : B → D → Prop)
401
+ (E : Finset V) (s : State V H D B) (hs : Agrees f E s) (v : V) (d : D)
402
+ (hd : d ∈ touchedToEncoded (fun v => lines (f v)) hit E v) :
403
+ ∃ u ∈ E, ∃ x : AnchorChoice s.2 (lines (s.1 u)),
404
+ x.direction = d ∧ d ∈ lines (f v) ∧ Realized hit x.requirements := by
405
+ classical
406
+ obtain ⟨hgeom, r, hr⟩ := Finset.mem_filter.mp hd
407
+ obtain ⟨hv, henc⟩ := Finset.mem_inter.mp hgeom
408
+ obtain ⟨u, hu, hdu⟩ := Finset.mem_biUnion.mp henc
409
+ have hdu' : d ∈ lines (s.1 u) := by rw [hs u hu]; exact hdu
410
+ exact ⟨u, hu, anchorName s.2 _ d hdu' r,
411
+ anchorName_direction _ _ _ _ _, hv, anchorName_realized hit _ _ _ _ _ hr⟩
412
+
413
+ omit [Fintype V] [Fintype H] [DecidableEq H] in
414
+ omit [Fintype D] in
415
+
416
+ lemma make_one (f : V → H) (hit : B → D → Prop) (K : ℕ) (hK : 2 ≤ K)
417
+ (E : Finset V) (s : State V H D B) (hs : Coherent lines f hit K E s)
418
+ (v : V) (hv : v ∉ E)
419
+ (ha : 1 ≤ (touchedToEncoded (fun v => lines (f v)) hit E v).card) :
420
+ ∃ a : Action lines K s, Coherent lines f hit K (insert v E) (advance lines K s a) ∧
421
+ (insert v E).card = E.card + degree lines K s a ∧
422
+ Enabled lines K true s a ∧ actionCharge lines K s a = 0 := by
423
+ classical
424
+ obtain ⟨d, hd⟩ := Finset.card_pos.mp (by omega : 0 < (touchedToEncoded (fun v => lines (f v)) hit E v).card)
425
+ obtain ⟨u, hu, x, hxd, hdv, hxreal⟩ := touched_anchor lines f hit E s hs.1 v d hd
426
+ let c : OneChoice lines s := ⟨v, u, x, f v, hxd ▸ hdv⟩
427
+ let a : Action lines K s := .inr (.inl c)
428
+ have hc : (insert v E).card = E.card + degree lines K s a := by
429
+ simp [a, degree, Finset.card_insert_of_notMem hv]
430
+ refine ⟨a, ?_, hc, fun _ _ => rfl, rfl⟩
431
+ apply coherent_step lines f hit K hK E (insert v E) s hs a (Finset.subset_insert _ _) _ _ hxreal hc
432
+ · exact agrees_update f E s hs.1 v _
433
+ · apply (anchor_req_directions x).trans
434
+ intro z hz
435
+ have hz' : z = x.direction := Finset.mem_singleton.mp hz
436
+ apply Finset.mem_biUnion.mpr
437
+ exact ⟨v, Finset.mem_insert_self _ _, hz' ▸ (hxd ▸ hdv)⟩
438
+ omit [Fintype V] [Fintype H] [DecidableEq H] in
439
+ omit [Fintype D] in
440
+
441
+ lemma make_two (f : V → H) (hit : B → D → Prop) (K : ℕ) (hK : 2 ≤ K)
442
+ (low : Bool) (E : Finset V) (s : State V H D B) (hs : Coherent lines f hit K E s)
443
+ (v : V) (hv : v ∉ E)
444
+ (ha : 2 ≤ (touchedToEncoded (fun v => lines (f v)) hit E v).card) :
445
+ ∃ a : Action lines K s, Coherent lines f hit K (insert v E) (advance lines K s a) ∧
446
+ (insert v E).card = E.card + degree lines K s a ∧
447
+ Enabled lines K low s a ∧ actionCharge lines K s a = 1 := by
448
+ classical
449
+ obtain ⟨d, hd, e, he, hde⟩ := Finset.one_lt_card.mp (by omega :
450
+ 1 < (touchedToEncoded (fun v => lines (f v)) hit E v).card)
451
+ obtain ⟨u, hu, x, hxd, hdv, hxreal⟩ := touched_anchor lines f hit E s hs.1 v d hd
452
+ obtain ⟨w, hw, y, hye, hev, hyreal⟩ := touched_anchor lines f hit E s hs.1 v e he
453
+ let c : TwoChoice lines s := ⟨v, u, w, x, y, f v,
454
+ by simpa only [hxd, hye] using And.intro hde (And.intro hdv hev)⟩
455
+ let a : Action lines K s := .inr (.inr (.inl c))
456
+ have hc : (insert v E).card = E.card + degree lines K s a := by
457
+ simp [a, degree, Finset.card_insert_of_notMem hv]
458
+ refine ⟨a, ?_, hc, ?_, rfl⟩
459
+ · apply coherent_step lines f hit K hK E (insert v E) s hs a (Finset.subset_insert _ _) _ _
460
+ (realized_union hit hxreal hyreal) hc
461
+ · exact agrees_update f E s hs.1 v _
462
+ · change paidDirections (x.requirements ∪ y.requirements) ⊆ _
463
+ rw [paidDirections_union]
464
+ apply Finset.union_subset
465
+ · apply (anchor_req_directions x).trans
466
+ intro z hz
467
+ have hz' := Finset.mem_singleton.mp hz
468
+ exact Finset.mem_biUnion.mpr ⟨v, Finset.mem_insert_self _ _, hz' ▸ (hxd ▸ hdv)⟩
469
+ · apply (anchor_req_directions y).trans
470
+ intro z hz
471
+ have hz' := Finset.mem_singleton.mp hz
472
+ exact Finset.mem_biUnion.mpr ⟨v, Finset.mem_insert_self _ _, hz' ▸ (hye ▸ hev)⟩
473
+ · intro c' he
474
+ simp [a] at he
475
+ end SharpRamseyFive.CertificateCover
476
+ end
477
+
478
+ end OAI
lean/OAI/Combinatorics/SharpRamsey/Entropy/CompleteProgramWeight.lean ADDED
@@ -0,0 +1,463 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ import Mathlib
2
+ import OAI.Combinatorics.SharpRamsey.Entropy.TruncatedTupleIntegrable
3
+ import OAI.Combinatorics.SharpRamsey.Entropy.MakePair
4
+
5
+ namespace OAI
6
+
7
+ /-! High moments, finite-field subspaces, and incidence bounds. -/
8
+
9
+ section
10
+ open MeasureTheory ProbabilityTheory
11
+ open scoped BigOperators NNReal
12
+ open MeasureTheory ProbabilityTheory
13
+ open scoped BigOperators NNReal
14
+ open scoped BigOperators
15
+ open MeasureTheory ProbabilityTheory
16
+ open scoped BigOperators ENNReal NNReal
17
+ namespace SharpRamseyFive.CertificateCover
18
+ open SharpRamseyFive.StaticCertificates
19
+ open SharpRamseyFive.CertificateEnumeration
20
+ open SharpRamseyFive.WeightedPrograms
21
+ open SharpRamseyFive.ResidualCertificate
22
+ open scoped BigOperators
23
+ variable {V H D B : Type*} [Fintype V] [DecidableEq V]
24
+ [Fintype H] [DecidableEq H] [Fintype D] [DecidableEq D]
25
+ [Fintype B] [DecidableEq B]
26
+ variable (lines : H → Finset D)
27
+ omit [Fintype H] [DecidableEq H] [Fintype D] in
28
+ lemma complete_program_weight (rate : D → ℝ≥0) (denom : ℝ) (hd : denom ≠ 0)
29
+ (K : ℕ) (low : Bool) (E : Finset V) (s : State V H D B)
30
+ (c : completePrograms lines K low E s) :
31
+ weight (fun p : B × D => rate p.2) (finish lines K s c.val.2).2 =
32
+ (weight (fun p : B × D => rate p.2) s.2 * denom ^ (Fintype.card V - E.card)) *
33
+ dWeight (Action lines K) (advance lines K) (programCost lines rate denom K low) s c.val.2 := by
34
+ rw [trace_weight lines rate denom hd K low s c.val.2 c.property.1,
35
+ c.property.2.2]
36
+ ring
37
+ omit [Fintype D] in
38
+
39
+ lemma complete_program_sum (rate : D → ℝ≥0) (denom b mass : ℝ)
40
+ (hd : 0 < denom) (hb : 1 ≤ b) (hm : 0 ≤ mass)
41
+ (hmass : ∀ h, ∑ d ∈ lines h, (rate d : ℝ) ≤ mass)
42
+ (K N₁ N₂ : ℕ) (low : Bool)
43
+ (hN₁ : ∀ d, (Finset.univ.filter (fun h => d ∈ lines h)).card ≤ N₁)
44
+ (hN₂ : ∀ d e, d ≠ e →
45
+ (Finset.univ.filter (fun h => d ∈ lines h ∧ e ∈ lines h)).card ≤ N₂)
46
+ (E : Finset V) (s : State V H D B) :
47
+ (∑ c : completePrograms lines K low E s,
48
+ weight (fun p : B × D => rate p.2) (finish lines K s c.val.2).2) ≤
49
+ (weight (fun p : B × D => rate p.2) s.2 * denom ^ (Fintype.card V - E.card)) *
50
+ ∑ n : Fin (Fintype.card V - E.card + 1),
51
+ branchingBound (V := V) (B := B) lines rate denom b mass K N₁ N₂ low ^ n.val := by
52
+ classical
53
+ simp_rw [complete_program_weight lines rate denom hd.ne' K low E s]
54
+ rw [← Finset.mul_sum]
55
+ apply mul_le_mul_of_nonneg_left _
56
+ (mul_nonneg (weight_nonneg _ _) (pow_nonneg hd.le _))
57
+ change (∑ c : {c : AllPrograms lines K E s // CompleteProgram lines K low E s c},
58
+ dWeight (Action lines K) (advance lines K) (programCost lines rate denom K low) s c.val.2) ≤ _
59
+ have hsub := Finset.sum_subtype (p := CompleteProgram lines K low E s)
60
+ (F := completePrograms_fintype lines K low E s)
61
+ (Finset.univ.filter (CompleteProgram lines K low E s)) (fun _ => by simp)
62
+ (fun c : AllPrograms lines K E s => dWeight (Action lines K) (advance lines K)
63
+ (programCost lines rate denom K low) s c.2)
64
+ rw [← hsub, Finset.sum_filter]
65
+ change (∑ c : AllPrograms lines K E s,
66
+ if CompleteProgram lines K low E s c then
67
+ dWeight (Action lines K) (advance lines K) (programCost lines rate denom K low) s c.2
68
+ else 0) ≤ _
69
+ rw [Fintype.sum_sigma]
70
+ apply Finset.sum_le_sum
71
+ intro n _
72
+ apply le_trans _ (program_enumeration lines rate denom b mass hd.le hb hm hmass
73
+ K N₁ N₂ low hN₁ hN₂ n.val s)
74
+ apply Finset.sum_le_sum
75
+ intro w _
76
+ by_cases hc : CompleteProgram lines K low E s ⟨n, w⟩
77
+ · simp only [ite_eq_left hc, ite_eq_left hc.2.1]
78
+ exact le_rfl
79
+ · simp only [ite_eq_right hc]
80
+ split_ifs
81
+ · exact dWeight_nonneg (Action lines K) (advance lines K) _
82
+ (programCost_nonneg lines rate denom hd.le K low) s w
83
+ · exact le_rfl
84
+
85
+ def badEvent (K J : ℕ) (low : Bool) (E : Finset V) (s : State V H D B)
86
+ (f : V → H) : Set ((B × D) → ℕ) :=
87
+ {ω | Function.Injective f ∧ Coherent lines f (fun r d => ω (r, d) ≠ 0) K E s ∧
88
+ (∀ v ∉ E, Fintype.card B / 2 ≤
89
+ (touchedBatches (fun v => lines (f v)) (fun r d => ω (r, d) ≠ 0) v).card) ∧
90
+ (low = false → ∀ d, (Finset.univ.filter (fun r => ω (r, d) ≠ 0)).card ≤ J)}
91
+ omit [Fintype H] [DecidableEq H] in
92
+ omit [Fintype D] in
93
+
94
+ lemma bad_event_cover (K J h : ℕ) (hK : 2 ≤ K) (hh : 0 < h) (low : Bool)
95
+ (hsize : h ≤ (Fintype.card B / 2 - if low then 0 else J) / (2 * K))
96
+ (herr : (Fintype.card V : ℝ) * h * (19 / 20 : ℝ) ^ (h - 1) < 1 / 2)
97
+ (E : Finset V) (s : State V H D B) (f : V → H) (ω : (B × D) → ℕ)
98
+ (hω : ω ∈ badEvent lines K J low E s f) :
99
+ ∃ c : completePrograms lines K low E s,
100
+ (finish lines K s c.val.2).1 = f ∧ ω ∈ positiveEvent (finish lines K s c.val.2).2 := by
101
+ classical
102
+ have hex : ∃ n, ∃ w : Word lines K n s,
103
+ Segment lines f (fun r d => ω (r, d) ≠ 0) K low E Finset.univ s w ∧
104
+ 0 ≤ charge lines K s w ∧ n ≤ Fintype.card V - E.card := by
105
+ cases low with
106
+ | false =>
107
+ exact bad_program_high lines f hω.1 (fun r d => ω (r, d) ≠ 0) K J h hK hh
108
+ hsize E s hω.2.1 hω.2.2.1 (hω.2.2.2 rfl) herr
109
+ | true =>
110
+ apply bad_program_low lines f hω.1 (fun r d => ω (r, d) ≠ 0) K h hK hh
111
+ _ E s hω.2.1 hω.2.2.1 herr
112
+ simpa using hsize
113
+ obtain ⟨n, w, hw, hq, hn⟩ := hex
114
+ have hc : CompleteProgram lines K low E s ⟨⟨n, by omega⟩, w⟩ := by
115
+ refine ⟨hw.2.2, hq, ?_⟩
116
+ change degreeSum lines K s w = Fintype.card V - E.card
117
+ have he := hw.2.1
118
+ simp only [Finset.card_univ] at he
119
+ omega
120
+ refine ⟨⟨⟨⟨n, by omega⟩, w⟩, hc⟩, ?_, ?_⟩
121
+ · funext v
122
+ exact hw.1.1 v (Finset.mem_univ _)
123
+ · intro p hp
124
+ exact hw.1.2.2.1 p hp
125
+
126
+ theorem bad_completion_bound (rate : D → ℝ≥0) (denom b mass : ℝ)
127
+ (hd : 0 < denom) (hb : 1 ≤ b) (hm : 0 ≤ mass)
128
+ (hmass : ∀ h, ∑ d ∈ lines h, (rate d : ℝ) ≤ mass)
129
+ (K J h N₁ N₂ : ℕ) (hK : 2 ≤ K) (hh : 0 < h) (low : Bool)
130
+ (hsize : h ≤ (Fintype.card B / 2 - if low then 0 else J) / (2 * K))
131
+ (herr : (Fintype.card V : ℝ) * h * (19 / 20 : ℝ) ^ (h - 1) < 1 / 2)
132
+ (hN₁ : ∀ d, (Finset.univ.filter (fun h => d ∈ lines h)).card ≤ N₁)
133
+ (hN₂ : ∀ d e, d ≠ e →
134
+ (Finset.univ.filter (fun h => d ∈ lines h ∧ e ∈ lines h)).card ≤ N₂)
135
+ (E : Finset V) (s : State V H D B) :
136
+ (∑ f : V → H, (poissonLaw (fun p : B × D => rate p.2)).real
137
+ (badEvent lines K J low E s f)) ≤
138
+ (weight (fun p : B × D => rate p.2) s.2 * denom ^ (Fintype.card V - E.card)) *
139
+ ∑ n : Fin (Fintype.card V - E.card + 1),
140
+ branchingBound (V := V) (B := B) lines rate denom b mass K N₁ N₂ low ^ n.val := by
141
+ classical
142
+ apply le_trans _ (complete_program_sum lines rate denom b mass hd hb hm hmass
143
+ K N₁ N₂ low hN₁ hN₂ E s)
144
+ apply decoded_static_union_bound rate
145
+ (fun c : completePrograms lines K low E s => (finish lines K s c.val.2).2)
146
+ (fun c => (finish lines K s c.val.2).1) (badEvent lines K J low E s)
147
+ · intro f
148
+ exact (Set.to_countable _).measurableSet
149
+ · intro f ω hω
150
+ exact bad_event_cover lines K J h hK hh low hsize herr E s f ω hω
151
+
152
+ def selectedBadEvent (K J : ℕ) (low : Bool) (E : Finset V) (s : State V H D B)
153
+ (f : V → H) : Set ((B × D) → ℕ) := by
154
+ classical
155
+ exact {ω | Function.Injective f ∧ ∃ hit : B → D → Prop,
156
+ (∀ r d, hit r d → ω (r, d) ≠ 0) ∧ Coherent lines f hit K E s ∧
157
+ (∀ v ∉ E, Fintype.card B / 2 ≤ (touchedBatches (fun v => lines (f v)) hit v).card) ∧
158
+ (low = false → ∀ d, (Finset.univ.filter (fun r => hit r d)).card ≤ J)}
159
+ omit [Fintype H] [DecidableEq H] in
160
+ omit [Fintype D] in
161
+
162
+ lemma selected_bad_event_cover (K J h : ℕ) (hK : 2 ≤ K) (hh : 0 < h) (low : Bool)
163
+ (hsize : h ≤ (Fintype.card B / 2 - if low then 0 else J) / (2 * K))
164
+ (herr : (Fintype.card V : ℝ) * h * (19 / 20 : ℝ) ^ (h - 1) < 1 / 2)
165
+ (E : Finset V) (s : State V H D B) (f : V → H) (ω : (B × D) → ℕ)
166
+ (hω : ω ∈ selectedBadEvent lines K J low E s f) :
167
+ ∃ c : completePrograms lines K low E s,
168
+ (finish lines K s c.val.2).1 = f ∧ ω ∈ positiveEvent (finish lines K s c.val.2).2 := by
169
+ classical
170
+ obtain ⟨hfi, hit, hpos, hco, hbad, htr⟩ := hω
171
+ have hex : ∃ n, ∃ w : Word lines K n s,
172
+ Segment lines f hit K low E Finset.univ s w ∧
173
+ 0 ≤ charge lines K s w ∧ n ≤ Fintype.card V - E.card := by
174
+ cases low with
175
+ | false =>
176
+ exact bad_program_high lines f hfi hit K J h hK hh
177
+ hsize E s hco hbad (htr rfl) herr
178
+ | true =>
179
+ apply bad_program_low lines f hfi hit K h hK hh _ E s hco hbad herr
180
+ simpa using hsize
181
+ obtain ⟨n, w, hw, hq, hn⟩ := hex
182
+ have hc : CompleteProgram lines K low E s ⟨⟨n, by omega⟩, w⟩ := by
183
+ refine ⟨hw.2.2, hq, ?_⟩
184
+ change degreeSum lines K s w = Fintype.card V - E.card
185
+ have he := hw.2.1
186
+ simp only [Finset.card_univ] at he
187
+ omega
188
+ refine ⟨⟨⟨⟨n, by omega⟩, w⟩, hc⟩, ?_, ?_⟩
189
+ · funext v
190
+ exact hw.1.1 v (Finset.mem_univ _)
191
+ · intro p hp
192
+ exact hpos p.1 p.2 (hw.1.2.2.1 p hp)
193
+
194
+ theorem selected_bad_completion_bound (rate : D → ℝ≥0) (denom b mass : ℝ)
195
+ (hd : 0 < denom) (hb : 1 ≤ b) (hm : 0 ≤ mass)
196
+ (hmass : ∀ h, ∑ d ∈ lines h, (rate d : ℝ) ≤ mass)
197
+ (K J h N₁ N₂ : ℕ) (hK : 2 ≤ K) (hh : 0 < h) (low : Bool)
198
+ (hsize : h ≤ (Fintype.card B / 2 - if low then 0 else J) / (2 * K))
199
+ (herr : (Fintype.card V : ℝ) * h * (19 / 20 : ℝ) ^ (h - 1) < 1 / 2)
200
+ (hN₁ : ∀ d, (Finset.univ.filter (fun h => d ∈ lines h)).card ≤ N₁)
201
+ (hN₂ : ∀ d e, d ≠ e →
202
+ (Finset.univ.filter (fun h => d ∈ lines h ∧ e ∈ lines h)).card ≤ N₂)
203
+ (E : Finset V) (s : State V H D B) :
204
+ (∑ f : V → H, (poissonLaw (fun p : B × D => rate p.2)).real
205
+ (selectedBadEvent lines K J low E s f)) ≤
206
+ (weight (fun p : B × D => rate p.2) s.2 * denom ^ (Fintype.card V - E.card)) *
207
+ ∑ n : Fin (Fintype.card V - E.card + 1),
208
+ branchingBound (V := V) (B := B) lines rate denom b mass K N₁ N₂ low ^ n.val := by
209
+ classical
210
+ apply le_trans _ (complete_program_sum lines rate denom b mass hd hb hm hmass
211
+ K N₁ N₂ low hN₁ hN₂ E s)
212
+ apply decoded_static_union_bound rate
213
+ (fun c : completePrograms lines K low E s => (finish lines K s c.val.2).2)
214
+ (fun c => (finish lines K s c.val.2).1) (selectedBadEvent lines K J low E s)
215
+ · intro f
216
+ exact (Set.to_countable _).measurableSet
217
+ · intro f ω hω
218
+ exact selected_bad_event_cover lines K J h hK hh low hsize herr E s f ω hω
219
+
220
+ end SharpRamseyFive.CertificateCover
221
+
222
+ namespace SharpRamseyFive.SelectionBridge
223
+ open MeasureTheory ProbabilityTheory
224
+ open scoped BigOperators NNReal
225
+ open SharpRamseyFive.PoissonScore SharpRamseyFive.TupleComponents
226
+ open SharpRamseyFive.Designations SharpRamseyFive.AmbientDesignations
227
+ open SharpRamseyFive.CertificateCover SharpRamseyFive.WeightedPrograms
228
+ open Classical
229
+ variable {D V H C : Type} [Fintype D] [DecidableEq D] [Fintype V] [DecidableEq V]
230
+ [Fintype H] [DecidableEq H] [Fintype C] [DecidableEq C]
231
+ omit [DecidableEq D] in
232
+
233
+ lemma restriction_preserving (rate : D → ℝ≥0) (lab : D → Option C) (R : ℕ) :
234
+ MeasurePreserving (fun ω : Fin R × D → ℕ => fun i : Block lab R none => ω i)
235
+ (batchMeasure (fun i : Fin R × D => rate i.2))
236
+ (batchMeasure (fun i : Block lab R none => rate i.1.2)) := by
237
+ exact (measurePreserving_eval (fun c : Option C => batchMeasure
238
+ (fun i : Block lab R c => rate i.1.2)) none).comp
239
+ (measurePreserving_partition (fun i : Fin R × D => rate i.2) (fun i => lab i.2))
240
+ omit [DecidableEq D] in
241
+
242
+ lemma integral_restriction (rate : D → ℝ≥0) (lab : D → Option C) (R : ℕ)
243
+ (F : (Block lab R none → ℕ) → ℝ) :
244
+ (∫ z, F z ∂batchMeasure (fun i : Block lab R none => rate i.1.2)) =
245
+ ∫ ω, F (fun i => ω i) ∂batchMeasure (fun i : Fin R × D => rate i.2) := by
246
+ have h := restriction_preserving rate lab R
247
+ rw [← h.map_eq]
248
+ exact integral_map h.measurable.aemeasurable (measurable_of_countable F).aestronglyMeasurable
249
+ omit [Fintype D] [DecidableEq V] in
250
+
251
+ lemma label_none_external (weight : D → ℝ≥0) (s : V → Finset D) (t : ℝ)
252
+ {v : V} {d : D} (hd : d ∈ s v) (he : componentLabel weight s t d = none) :
253
+ External weight s t d := by
254
+ by_contra hn
255
+ have hi := componentLabel_internal weight s t (Finset.mem_filter.mpr ⟨hd,hn⟩)
256
+ rw [he] at hi
257
+ cases hi
258
+
259
+ noncomputable def selectedHit (weight : D → ℝ≥0) (s : V → Finset D) (t : ℝ)
260
+ {R : ℕ} (ω : Fin R × D → ℕ) (r : Fin R) (d : D) : Prop :=
261
+ componentLabel weight s t d = none ∧ ω (r,d) ≠ 0
262
+
263
+ lemma touched_equals_shared (weight : D → ℝ≥0) (s : V → Finset D) (t : ℝ)
264
+ (R : ℕ) (ω : Fin R × D → ℕ) (v : V) :
265
+ TupleComponents.hitBatches (touched (componentLabel weight s t) R
266
+ ((strongGraph weight s t).connectedComponentMk v) (s v) (fun i => ω i)) =
267
+ ResidualCertificate.touchedBatches s (selectedHit weight s t ω) v := by
268
+ ext r
269
+ simp only [TupleComponents.hitBatches, touched, Finset.mem_filter, Finset.mem_univ, true_and,
270
+ decide_eq_true_eq, ResidualCertificate.touchedBatches,
271
+ ResidualCertificate.sharedBatches, Finset.mem_inter]
272
+ constructor
273
+ · rintro ⟨d,hd,hpos⟩
274
+ obtain ⟨u,hu,hdiff⟩ := (external_iff_other weight s t hd).mp
275
+ (label_none_external weight s t hd d.property)
276
+ refine ⟨u, ?_, d, ⟨hd,hu⟩, d.property,hpos⟩
277
+ intro he
278
+ subst u
279
+ exact hdiff rfl
280
+ · rintro ⟨u,_,d,⟨hd,_⟩,he,hpos⟩
281
+ exact ⟨⟨d,he⟩,hd,hpos⟩
282
+
283
+ omit [DecidableEq V] in
284
+ lemma selected_trunc (weight : D → ℝ≥0) (s : V → Finset D) (t : ℝ)
285
+ (R J : ℕ) (ω : Fin R × D → ℕ)
286
+ (htr : blockTrunc (componentLabel weight s t) R J none (fun i => ω i) ≠ 0) :
287
+ ∀ d, (Finset.univ.filter (fun r => selectedHit weight s t ω r d)).card ≤ J := by
288
+ intro d
289
+ by_cases hd : componentLabel weight s t d = none
290
+ · have hp : lineTrunc R J (fun r => ω (r,d)) ≠ 0 :=
291
+ Finset.prod_ne_zero_iff.mp htr ⟨d,hd⟩ (Finset.mem_univ _)
292
+ have hh : (Finset.univ.filter (fun r => ω (r,d) ≠ 0)).card < J := by
293
+ by_contra hn
294
+ exact hp (ite_eq_right hn)
295
+ simpa only [selectedHit, hd, true_and] using hh.le
296
+ · simp only [selectedHit, hd, false_and, Finset.filter_false, Finset.card_empty]
297
+ exact Nat.zero_le _
298
+
299
+ noncomputable def vertexBadMass (weight rate : D → ℝ≥0) (s : V → Finset D) (t : ℝ)
300
+ (R J : ℕ) (A : Finset V) : ℝ :=
301
+ badMass (batchMeasure (fun i : Block (componentLabel weight s t) R none => rate i.1.2))
302
+ (blockTrunc (componentLabel weight s t) R J none)
303
+ (fun v z => BAD (touched (componentLabel weight s t) R
304
+ ((strongGraph weight s t).connectedComponentMk v) (s v) z)) A
305
+
306
+ omit [Fintype D] [Fintype V] [DecidableEq V] [Fintype H] [DecidableEq H] in
307
+ lemma empty_coherent (lines : H → Finset D) (f g : V → H) (R K : ℕ)
308
+ (E : Finset V) (hit : Fin R → D → Prop) (he : ∀ v ∈ E, g v = f v) :
309
+ Coherent lines f hit K E (g,∅) := by
310
+ refine ⟨he, ?_, ?_, ?_⟩
311
+ · simp [ResidualCertificate.DictionaryInvariant, ResidualCertificate.paidDirections]
312
+ · intro p hp
313
+ exact False.elim (Finset.notMem_empty p hp)
314
+ · simp
315
+ omit [Fintype H] [DecidableEq H] in
316
+
317
+ lemma bad_mass_le_selected_event (weight rate : D → ℝ≥0) (lines : H → Finset D)
318
+ (f g : V → H) (hf : Function.Injective f) (R J K : ℕ) (t : ℝ) (low : Bool)
319
+ (A : Finset V) (he : ∀ v ∈ Finset.univ \ A, g v = f v) :
320
+ vertexBadMass weight rate (lines ∘ f) t R J A ≤
321
+ (StaticCertificates.poissonLaw (fun i : Fin R × D => rate i.2)).real
322
+ (selectedBadEvent lines K J low (Finset.univ \ A) (g,∅) f) := by
323
+ let lab := componentLabel weight (lines ∘ f) t
324
+ let bad := fun v z => BAD (touched lab R
325
+ ((strongGraph weight (lines ∘ f) t).connectedComponentMk v) (lines (f v)) z)
326
+ let T := blockTrunc lab R J none
327
+ let E : Set ((Fin R × D) → ℕ) := selectedBadEvent lines K J low (Finset.univ \ A) (g,∅) f
328
+ have hE : MeasurableSet E := (Set.to_countable _).measurableSet
329
+ change (∫ z, T z * ∏ v ∈ A, badIndicator bad v z
330
+ ∂batchMeasure (fun i : Block lab R none => rate i.1.2)) ≤ _
331
+ rw [integral_restriction rate lab R]
332
+ have hi : Integrable (fun ω : Fin R × D → ℕ =>
333
+ T (fun i => ω i) * ∏ v ∈ A, badIndicator bad v (fun i => ω i))
334
+ (batchMeasure (fun i : Fin R × D => rate i.2)) := by
335
+ apply Integrable.of_bound (measurable_of_countable _).aestronglyMeasurable 1
336
+ apply Filter.Eventually.of_forall
337
+ intro ω
338
+ rw [Real.norm_eq_abs, abs_of_nonneg (badTerm_range T (blockTrunc_range lab R J none)
339
+ bad A (fun i => ω i)).1]
340
+ exact (badTerm_range T (blockTrunc_range lab R J none) bad A (fun i => ω i)).2
341
+ change _ ≤ (batchMeasure (fun i : Fin R × D => rate i.2)).real E
342
+ rw [← integral_indicator_one hE]
343
+ apply integral_mono hi ((integrable_const (1 : ℝ)).indicator hE)
344
+ intro ω
345
+ dsimp only
346
+ by_cases hz : T (fun i => ω i) * ∏ v ∈ A, badIndicator bad v (fun i => ω i) = 0
347
+ · rw [hz]
348
+ exact Set.indicator_nonneg (fun _ _ => zero_le_one) ω
349
+ · have ht : T (fun i => ω i) ≠ 0 := (mul_ne_zero_iff.mp hz).1
350
+ have hb : ∀ v ∈ A, bad v (fun i => ω i) := by
351
+ intro v hv
352
+ have hn := Finset.prod_ne_zero_iff.mp (mul_ne_zero_iff.mp hz).2 v hv
353
+ by_contra hn'
354
+ exact hn (ite_eq_right hn')
355
+ have hmem : ω ∈ E := by
356
+ refine ⟨hf, selectedHit weight (lines ∘ f) t ω, ?_, ?_, ?_, ?_⟩
357
+ · intro r d hd
358
+ exact hd.2
359
+ · exact empty_coherent lines f g R K (Finset.univ \ A) _ he
360
+ · intro v hv
361
+ have hvA : v ∈ A := by simpa using hv
362
+ have hvb := hb v hvA
363
+ change R / 2 ≤ (TupleComponents.hitBatches (touched lab R
364
+ ((strongGraph weight (lines ∘ f) t).connectedComponentMk v) (lines (f v))
365
+ (fun i => ω i))).card at hvb
366
+ change R / 2 ≤ (TupleComponents.hitBatches (touched
367
+ (componentLabel weight (lines ∘ f) t) R
368
+ ((strongGraph weight (lines ∘ f) t).connectedComponentMk v)
369
+ ((lines ∘ f) v) (fun i => ω i))).card at hvb
370
+ rw [touched_equals_shared weight (lines ∘ f) t R ω v] at hvb
371
+ simpa only [Fintype.card_fin, Function.comp_def] using hvb
372
+ · intro _
373
+ exact selected_trunc weight (lines ∘ f) t R J ω ht
374
+ rw [Set.indicator_of_mem hmem]
375
+ exact (badTerm_range T (blockTrunc_range lab R J none) bad A (fun i => ω i)).2
376
+ omit [Fintype D] [Fintype V] [DecidableEq V] in
377
+
378
+ lemma vertex_injective (weight : D → ℝ≥0) (s : V → Finset D) (t : ℝ) : Function.Injective (vertex weight s t) := by
379
+ intro c d he
380
+ have h := congrArg (strongGraph weight s t).connectedComponentMk he
381
+ simpa only [vertex_color] using h
382
+
383
+ lemma component_bad_mass_eq_vertex (weight rate : D → ℝ≥0) (s : V → Finset D)
384
+ (t : ℝ) (R J : ℕ) (U : Finset (Components weight s t)) :
385
+ badMass (batchMeasure (fun i : Block (componentLabel weight s t) R none => rate i.1.2))
386
+ (blockTrunc (componentLabel weight s t) R J none)
387
+ (isBad weight s t R) U =
388
+ vertexBadMass weight rate s t R J (U.image (vertex weight s t)) := by
389
+ unfold badMass vertexBadMass
390
+ congr 1
391
+ funext z
392
+ congr 1
393
+ rw [Finset.prod_image (fun _ _ _ _ he => vertex_injective weight s t he)]
394
+ apply Finset.prod_congr rfl
395
+ intro c hc
396
+ simp only [badIndicator, isBad, vertex_color]
397
+ split_ifs with h <;> simp only [h, ite_true, ite_false]
398
+
399
+ theorem bad_residual_sum_le (weight rate : D → ℝ≥0) (lines : H → Finset D)
400
+ (t : ℝ) (R : ℕ) (denom b mass : ℝ)
401
+ (hd : 0 < denom) (hb : 1 ≤ b) (hm : 0 ≤ mass)
402
+ (hmass : ∀ u, ∑ d ∈ lines u, (rate d : ℝ) ≤ mass)
403
+ (K J h N₁ N₂ : ℕ) (hK : 2 ≤ K) (hh : 0 < h) (low : Bool)
404
+ (hsize : h ≤ (R / 2 - if low then 0 else J) / (2 * K))
405
+ (herr : (Fintype.card V : ℝ) * h * (19 / 20 : ℝ) ^ (h - 1) < 1 / 2)
406
+ (hN₁ : ∀ d, (Finset.univ.filter (fun u => d ∈ lines u)).card ≤ N₁)
407
+ (hN₂ : ∀ d e, d ≠ e →
408
+ (Finset.univ.filter (fun u => d ∈ lines u ∧ e ∈ lines u)).card ≤ N₂)
409
+ (A : Finset V) (g : V → H) :
410
+ (∑ f : V → H, if Function.Injective f ∧ (∀ v ∉ A, g v = f v) then
411
+ vertexBadMass weight rate (lines ∘ f) t R J A else 0) ≤
412
+ denom ^ A.card * ∑ n : Fin (A.card + 1),
413
+ branchingBound (V := V) (B := Fin R) lines rate denom b mass K N₁ N₂ low ^ n.val := by
414
+ have hbnd := selected_bad_completion_bound (V := V) (B := Fin R)
415
+ lines rate denom b mass hd hb hm hmass K J h N₁ N₂ hK hh low
416
+ (by simpa only [Fintype.card_fin] using hsize) herr hN₁ hN₂
417
+ (Finset.univ \ A) (g,∅)
418
+ have heq : Fintype.card V - (Finset.univ \ A).card = A.card := by
419
+ rw [Finset.card_sdiff_of_subset (Finset.subset_univ A)]
420
+ simp only [Finset.card_univ]
421
+ have := Finset.card_le_card (Finset.subset_univ A)
422
+ simp only [Finset.card_univ] at this
423
+ omega
424
+ rw [Fin.sum_univ_eq_sum_range] at hbnd ⊢
425
+ simp only [heq, StaticCertificates.weight, Finset.prod_empty, one_mul] at hbnd
426
+ apply le_trans _ hbnd
427
+ apply Finset.sum_le_sum
428
+ intro f hf
429
+ split_ifs with hfi
430
+ · apply bad_mass_le_selected_event weight rate lines f g hfi.1 R J K t low A
431
+ intro v hv
432
+ exact hfi.2 v (Finset.mem_sdiff.mp hv).2
433
+ · exact ENNReal.toReal_nonneg
434
+
435
+ end SharpRamseyFive.SelectionBridge
436
+
437
+ namespace SharpRamseyFive.SelectionBridge
438
+ open MeasureTheory ProbabilityTheory
439
+ open scoped BigOperators NNReal
440
+ open SharpRamseyFive.PoissonScore SharpRamseyFive.TupleComponents
441
+ open SharpRamseyFive.Designations SharpRamseyFive.AmbientDesignations
442
+ open SharpRamseyFive.CertificateCover SharpRamseyFive.WeightedPrograms
443
+ open Classical
444
+ variable {D V H : Type} [Fintype D] [DecidableEq D] [Fintype V] [DecidableEq V]
445
+ [Fintype H] [DecidableEq H]
446
+
447
+ def labelled (f : V → H) (v : V) : H × V := (f v, v)
448
+
449
+ omit [Fintype V] [DecidableEq V] [Fintype H] [DecidableEq H] in
450
+ lemma labelled_injective (f : V → H) : Function.Injective (labelled f) := by
451
+ intro u v h
452
+ exact congrArg Prod.snd h
453
+
454
+ omit [Fintype V] [DecidableEq V] [Fintype H] [DecidableEq H] in
455
+ lemma labelled_map_injective : Function.Injective (labelled : (V → H) → (V → H × V)) := by
456
+ intro f g h
457
+ funext v
458
+ exact congrArg Prod.fst (congrFun h v)
459
+
460
+ end SharpRamseyFive.SelectionBridge
461
+ end
462
+
463
+ end OAI
lean/OAI/Combinatorics/SharpRamsey/Entropy/ComponentLabelWitness.lean ADDED
@@ -0,0 +1,460 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ import Mathlib
2
+ import OAI.Combinatorics.SharpRamsey.Entropy.ExternalMass
3
+
4
+ namespace OAI
5
+
6
+ /-! High moments, finite-field subspaces, and incidence bounds. -/
7
+
8
+ section
9
+ open MeasureTheory ProbabilityTheory
10
+ open scoped BigOperators NNReal
11
+ namespace SharpRamseyFive.TupleComponents
12
+ open MeasureTheory ProbabilityTheory
13
+ open scoped BigOperators NNReal
14
+ open SharpRamseyFive.PoissonScore
15
+ open Classical
16
+ variable {D V C : Type} [Fintype D] [DecidableEq D]
17
+ [Fintype V] [DecidableEq V] [Fintype C] [DecidableEq C]
18
+ variable (label : D → Option C) (R : ℕ)
19
+ variable (color : V → C) (s : V → Finset D) (b : ℝ) (own : V → Fin R → Bool)
20
+ omit [Fintype D] [DecidableEq V] in
21
+ lemma componentLabel_witness (weight : D → ℝ≥0) (t : ℝ) (d : D)
22
+ (c : (strongGraph weight s t).ConnectedComponent)
23
+ (hc : componentLabel weight s t d = some c) :
24
+ ∃ v, d ∈ s v ∧ (strongGraph weight s t).connectedComponentMk v = c := by
25
+ unfold componentLabel at hc
26
+ split_ifs at hc with h h'
27
+ exact ⟨h.choose, h.choose_spec, Option.some.inj hc⟩
28
+ omit [DecidableEq V] in
29
+
30
+ lemma simple_inside_univ (weight : D → ℝ≥0) (t : ℝ) (v : V)
31
+ (hsingle : ∀ u, (strongGraph weight s t).connectedComponentMk u =
32
+ (strongGraph weight s t).connectedComponentMk v → u = v) :
33
+ inside (componentLabel weight s t) ((strongGraph weight s t).connectedComponentMk v)
34
+ (s v) = Finset.univ := by
35
+ apply Finset.eq_univ_of_forall
36
+ intro d
37
+ obtain ⟨u, hu, hc⟩ := componentLabel_witness s weight t d.val _ d.property
38
+ have he := hsingle u hc
39
+ simpa [inside, he] using hu
40
+
41
+ omit [DecidableEq D] [Fintype C] in
42
+ lemma blockTrunc_eq_indicator (J : ℕ) (c : C) (x : Block label R (some c) → ℕ) :
43
+ blockTrunc label R J (some c) x =
44
+ (overloaded Finset.univ J)ᶜ.indicator (fun _ => (1 : ℝ)) (unblock label R c x) := by
45
+ by_cases he : unblock label R c x ∈ overloaded Finset.univ J
46
+ · simp only [Set.indicator_of_notMem (show unblock label R c x ∉
47
+ (overloaded Finset.univ J)ᶜ by simpa using he)]
48
+ obtain ⟨d, _, hd⟩ := he
49
+ apply Finset.prod_eq_zero (Finset.mem_univ d)
50
+ change lineTrunc R J (fun r => x ⟨(r,d), d.property⟩) = 0
51
+ have hn : ¬ (Finset.univ.filter (fun r => x ⟨(r,d), d.property⟩ ≠ 0)).card < J := by
52
+ exact not_lt.mpr hd
53
+ simp only [lineTrunc, ite_eq_right hn]
54
+ · rw [Set.indicator_of_mem (show unblock label R c x ∈
55
+ (overloaded Finset.univ J)ᶜ by simpa using he)]
56
+ apply Finset.prod_eq_one
57
+ intro d _
58
+ change lineTrunc R J (fun r => x ⟨(r,d), d.property⟩) = 1
59
+ have hd : (Finset.univ.filter (fun r => x ⟨(r,d), d.property⟩ ≠ 0)).card < J := by
60
+ by_contra hn
61
+ exact he ⟨d, Finset.mem_univ _, not_lt.mp hn⟩
62
+ simp only [lineTrunc, ite_eq_left hd]
63
+
64
+ omit [DecidableEq V] in
65
+ omit [Fintype C] in
66
+ lemma componentFactor_eq_single (J : ℕ) (c : C) (v : {v : V // color v = c})
67
+ (hsingle : ∀ u, color u = c → u = v.val)
68
+ (hcompat : ∀ d ∈ s v, label d = none ∨ label d = some c)
69
+ (hin : inside label c (s v) = Finset.univ)
70
+ (z : Block label R none → ℕ) (x : Block label R (some c) → ℕ) :
71
+ componentFactor label R color s b own J c z x =
72
+ (overloaded (inside label c (s v)) J)ᶜ.indicator
73
+ (maskedTerm (inside label c (s v)) b (own v) (touched label R c (s v) z))
74
+ (unblock label R c x) := by
75
+ have hp : (∏ u : {v : V // color v = c}, scoreTerm (s u) b (own u) (fill label R c z x)) =
76
+ scoreTerm (s v) b (own v) (fill label R c z x) := by
77
+ apply Finset.prod_eq_single v
78
+ · intro u _ huv
79
+ exfalso
80
+ exact huv (Subtype.ext (hsingle u u.property))
81
+ · simp
82
+ rw [componentFactor, hp, scoreTerm_eq_masked label R c (s v) b (own v) hcompat,
83
+ blockTrunc_eq_indicator label R J c, hin]
84
+ by_cases he : unblock label R c x ∈ (overloaded Finset.univ J)ᶜ <;> simp [he]
85
+ omit [DecidableEq V] in
86
+ omit [Fintype C] in
87
+
88
+ lemma simple_component_integral (rate : D → ℝ≥0) (J : ℕ)
89
+ (c : C) (v : {v : V // color v = c})
90
+ (hsingle : ∀ u, color u = c → u = v.val)
91
+ (hcompat : ∀ d ∈ s v, label d = none ∨ label d = some c)
92
+ (hin : inside label c (s v) = Finset.univ) (z : Block label R none → ℕ) :
93
+ (∫ x, componentFactor label R color s b own J c z x
94
+ ∂batchMeasure (fun i : Block label R (some c) => rate i.1.2)) =
95
+ ∫ w, (overloaded (inside label c (s v)) J)ᶜ.indicator
96
+ (maskedTerm (inside label c (s v)) b (own v) (touched label R c (s v) z)) w
97
+ ∂scheduleMeasure (fun d : IntDir label c => rate d) R := by
98
+ simp_rw [componentFactor_eq_single label R color s b own J c v hsingle hcompat hin]
99
+ exact (measurePreserving_unblock label R rate c).integral_comp
100
+ (unblockEquiv label R c).measurableEmbedding _
101
+ omit [DecidableEq V] in
102
+ omit [Fintype C] in
103
+
104
+ lemma simple_component_attenuation (rate : D → ℝ≥0) (J : ℕ)
105
+ (c : C) (v : {v : V // color v = c})
106
+ (hsingle : ∀ u, color u = c → u = v.val)
107
+ (hcompat : ∀ d ∈ s v, label d = none ∨ label d = some c)
108
+ (hin : inside label c (s v) = Finset.univ) (z : Block label R none → ℕ)
109
+ {L base delta alpha : ℝ} (hL : 10000 ≤ L)
110
+ (hmass : mass (fun d : IntDir label c => rate d) (inside label c (s v)) =
111
+ L * (base + delta - alpha))
112
+ (hint : (37 / 50 : ℝ) ≤ base + delta - alpha) (hbase : (37 / 50 : ℝ) ≤ base)
113
+ (ha : 0 ≤ alpha) (hd : |delta| + alpha ≤ 1) {N K : ℕ}
114
+ (hN : N ≤ (untouchedBatches (touched label R c (s v) z)).card) (hK : K ≤ N) :
115
+ |∫ x, componentFactor label R color s (Real.exp (-L * base)) own J c z x
116
+ ∂batchMeasure (fun i : Block label R (some c) => rate i.1.2)| ≤
117
+ Real.exp (-(17 / 25 : ℝ) * (L * R)) *
118
+ (|delta| ^ N + alpha ^ K +
119
+ ∑ d ∈ inside label c (s v), ((R : ℝ) * (rate d : ℝ)) ^ J) := by
120
+ rw [simple_component_integral label R color s _ own rate J c v hsingle hcompat hin z]
121
+ exact simple_singleton_truncated _ _ J (own v) (touched label R c (s v) z)
122
+ hL hmass hint hbase ha hd hN hK
123
+ omit [Fintype C] in
124
+
125
+ lemma nonsimple_component_attenuation (rate : D → ℝ≥0) (J : ℕ)
126
+ (c : C) (v : {v : V // color v = c}) (z : Block label R none → ℕ)
127
+ (hcompat : ∀ d ∈ s v, label d = none ∨ label d = some c)
128
+ {L lam base : ℝ} (hL : 10000 ≤ L)
129
+ (hmass : mass (fun d : IntDir label c => rate d) (inside label c (s v)) = L * lam)
130
+ (hlam : (37 / 50 : ℝ) ≤ lam) (hbase : (37 / 50 : ℝ) ≤ base) :
131
+ (∫ x, |componentFactor label R color s (Real.exp (-L * base)) own J c z x|
132
+ ∂batchMeasure (fun i : Block label R (some c) => rate i.1.2)) ≤
133
+ Real.exp (-(7 / 10 : ℝ) * (L * R)) := by
134
+ apply (component_integral_abs_le label R color s own rate J c v z hcompat
135
+ (show 0 ≤ L by linarith) (by norm_num : (0 : ℝ) ≤ 37 / 50) hmass hlam hbase).trans
136
+ have he : (2 : ℝ) ≤ Real.exp ((1 / 25 : ℝ) * L) := by
137
+ have := Real.add_one_le_exp ((1 / 25 : ℝ) * L)
138
+ linarith
139
+ have hmul := mul_le_mul_of_nonneg_right he (Real.exp_pos (-L * (37 / 50 : ℝ))).le
140
+ rw [← Real.exp_add] at hmul
141
+ have hpow := pow_le_pow_left₀ (by positivity : (0 : ℝ) ≤ 2 * Real.exp (-L * (37 / 50 : ℝ))) hmul R
142
+ rw [← Real.exp_nat_mul] at hpow
143
+ convert hpow using 1 ; congr 1 ; ring
144
+
145
+ end SharpRamseyFive.TupleComponents
146
+
147
+ namespace SharpRamseyFive.TupleMultiplicity
148
+ open scoped BigOperators
149
+ open Classical
150
+ variable {V H : Type*} [Fintype V] [DecidableEq V] [Fintype H] [DecidableEq H]
151
+
152
+ abbrev RepresentativeMap (V : Type*) := {r : V → V // ∀ v, r (r v) = r v}
153
+ abbrev Representatives (r : RepresentativeMap V) := {v : V // r.val v = v}
154
+
155
+ noncomputable def chosen (f : V → H) (v : V) : V :=
156
+ Classical.choose (show ∃ w, f w = f v from ⟨v, rfl⟩)
157
+
158
+ omit [Fintype V] [DecidableEq V] [Fintype H] [DecidableEq H] in
159
+ lemma chosen_spec (f : V → H) (v : V) : f (chosen f v) = f v :=
160
+ Classical.choose_spec (show ∃ w, f w = f v from ⟨v, rfl⟩)
161
+
162
+ omit [Fintype V] [DecidableEq V] [Fintype H] [DecidableEq H] in
163
+ lemma chosen_eq (f : V → H) {v w : V} (h : f v = f w) :
164
+ chosen f v = chosen f w := by
165
+ unfold chosen
166
+ congr 1
167
+ funext x
168
+ rw [h]
169
+ omit [Fintype V] [DecidableEq V] [Fintype H] [DecidableEq H] in
170
+
171
+ lemma chosen_idempotent (f : V → H) : ∀ v, chosen f (chosen f v) = chosen f v := by
172
+ intro v
173
+ exact chosen_eq f (chosen_spec f v)
174
+
175
+ noncomputable def representatives (f : V → H) : RepresentativeMap V :=
176
+ ⟨chosen f, chosen_idempotent f⟩
177
+
178
+ noncomputable def assignment (f : V → H) : Representatives (representatives f) ↪ H where
179
+ toFun v := f v
180
+ inj' := by
181
+ intro v w h
182
+ apply Subtype.ext
183
+ have := chosen_eq f h
184
+ change chosen f v.val = chosen f w.val at this
185
+ simpa only [show chosen f v.val = v.val from v.property,
186
+ show chosen f w.val = w.val from w.property] using this
187
+
188
+ noncomputable def decode (r : RepresentativeMap V) (h : Representatives r ↪ H) : V → H :=
189
+ fun v => h ⟨r.val v, r.property v⟩
190
+ omit [Fintype V] [DecidableEq V] [Fintype H] [DecidableEq H] in
191
+
192
+ lemma decode_assignment (f : V → H) :
193
+ decode (representatives f) (assignment f) = f := by
194
+ funext v
195
+ exact chosen_spec f v
196
+
197
+ noncomputable def encode (f : V → H) :
198
+ (r : RepresentativeMap V) × (Representatives r ↪ H) :=
199
+ ⟨representatives f, assignment f⟩
200
+ omit [Fintype V] [DecidableEq V] [Fintype H] [DecidableEq H] in
201
+
202
+ lemma encode_injective : Function.Injective (encode (V := V) (H := H)) := by
203
+ intro f g h
204
+ have := congrArg (fun z : (r : RepresentativeMap V) × (Representatives r ↪ H) =>
205
+ decode z.1 z.2) h
206
+ simpa only [encode, decode_assignment] using this
207
+
208
+ lemma representativeMap_card_le :
209
+ Fintype.card (RepresentativeMap V) ≤ Fintype.card V ^ Fintype.card V := by
210
+ calc
211
+ _ ≤ Fintype.card (V → V) := Fintype.card_subtype_le _
212
+ _ = _ := by simp
213
+
214
+ lemma representatives_card_le (r : RepresentativeMap V) :
215
+ Fintype.card (Representatives r) ≤ Fintype.card V := Fintype.card_subtype_le _
216
+
217
+ theorem sum_tuples_le_representative_assignments (F : (V → H) → ℝ)
218
+ (hF : ∀ f, 0 ≤ F f) :
219
+ (∑ f : V → H, F f) ≤
220
+ ∑ r : RepresentativeMap V, ∑ h : Representatives r ↪ H, F (decode r h) := by
221
+ rw [← Fintype.sum_sigma (fun z : (r : RepresentativeMap V) × (Representatives r ↪ H) =>
222
+ F (decode z.1 z.2))]
223
+ let e := encode (V := V) (H := H)
224
+ let G := fun z : (r : RepresentativeMap V) × (Representatives r ↪ H) => F (decode z.1 z.2)
225
+ have he : (∑ f : V → H, F f) = ∑ z ∈ Finset.univ.image e, G z := by
226
+ rw [Finset.sum_image (fun _ _ _ _ h => encode_injective h)]
227
+ apply Finset.sum_congr rfl
228
+ intro f _
229
+ simp only [G, encode, decode_assignment]
230
+ rw [he]
231
+ exact Finset.sum_le_sum_of_subset_of_nonneg (Finset.subset_univ _) (fun z _ _ => hF _)
232
+
233
+ omit [Fintype V] [DecidableEq V] [Fintype H] [DecidableEq H] in
234
+
235
+ lemma range_decode (r : RepresentativeMap V) (h : Representatives r ↪ H) :
236
+ Set.range (decode r h) = Set.range h := by
237
+ ext a
238
+ constructor
239
+ · rintro ⟨v,rfl⟩
240
+ exact ⟨⟨r.val v,r.property v⟩,rfl⟩
241
+ · rintro ⟨v,rfl⟩
242
+ refine ⟨v, ?_⟩
243
+ apply congrArg h
244
+ exact Subtype.ext v.property
245
+
246
+ omit [Fintype V] [DecidableEq V] [Fintype H] [DecidableEq H] in
247
+ lemma fiber_decode (r : RepresentativeMap V) (h : Representatives r ↪ H)
248
+ (v : V) (w : Representatives r) : decode r h v = h w ↔ r.val v = w.val := by
249
+ constructor
250
+ · intro he
251
+ exact congrArg Subtype.val (h.injective he)
252
+ · intro he
253
+ exact congrArg h (Subtype.ext he)
254
+ end SharpRamseyFive.TupleMultiplicity
255
+
256
+ namespace SharpRamseyFive.TupleComponents
257
+ open MeasureTheory ProbabilityTheory
258
+ open scoped BigOperators NNReal
259
+ open SharpRamseyFive.PoissonScore
260
+ open Classical
261
+ variable {D V C : Type} [Fintype D] [DecidableEq D]
262
+ [Fintype V] [DecidableEq V] [Fintype C] [DecidableEq C]
263
+ omit [DecidableEq V] in
264
+
265
+ lemma mass_inside_eq (weight rate : D → ℝ≥0) (s : V → Finset D) (t : ℝ) (v : V) :
266
+ mass (fun d : IntDir (componentLabel weight s t)
267
+ ((strongGraph weight s t).connectedComponentMk v) => rate d)
268
+ (inside (componentLabel weight s t) _ (s v)) =
269
+ mass rate (internalPart weight s t v) := by
270
+ unfold mass
271
+ apply Finset.sum_bij (fun d _ => d.val)
272
+ · intro d hd
273
+ exact (internalPart_iff_label weight s t v d.val).mpr
274
+ ⟨(Finset.mem_filter.mp hd).2, d.property⟩
275
+ · intro a _ b _ hab
276
+ exact Subtype.ext hab
277
+ · intro d hd
278
+ obtain ⟨hm, hl⟩ := (internalPart_iff_label weight s t v d).mp hd
279
+ exact ⟨⟨d,hl⟩, Finset.mem_filter.mpr ⟨Finset.mem_univ _,hm⟩,rfl⟩
280
+ · intro d _
281
+ rfl
282
+
283
+ omit [Fintype D] [DecidableEq D] in
284
+ lemma mass_scaled (L : ℝ≥0) (weight : D → ℝ≥0) (S : Finset D) :
285
+ mass (fun d => L * weight d) S = (L : ℝ) * mass weight S := by
286
+ simp only [mass, NNReal.coe_mul, Finset.mul_sum]
287
+
288
+ lemma source_inside_mass_lower (weight : D → ℝ≥0) (s : V → Finset D)
289
+ {p : ℕ} (hp : 0 < p) (hc : Fintype.card V ≤ p)
290
+ (hs : ∀ v, (3 / 4 : ℝ) ≤ mass weight (s v)) (v : V) :
291
+ (37 / 50 : ℝ) ≤ mass (fun d : IntDir (componentLabel weight s (1 / (100 * p)))
292
+ ((strongGraph weight s (1 / (100 * p))).connectedComponentMk v) => weight d)
293
+ (inside (componentLabel weight s (1 / (100 * p))) _ (s v)) := by
294
+ rw [mass_inside_eq]
295
+ exact source_internal_mass_lower weight s hp hc hs v
296
+
297
+ omit [Fintype D] [Fintype V] in
298
+
299
+ lemma repeats_same_component (weight : D → ℝ≥0) (s : V → Finset D) (t : ℝ)
300
+ {v w : V} (he : s v = s w) (hm : t < mass weight (s v)) :
301
+ (strongGraph weight s t).connectedComponentMk v =
302
+ (strongGraph weight s t).connectedComponentMk w := by
303
+ by_cases hvw : v = w
304
+ · exact congrArg _ hvw
305
+ · apply SimpleGraph.ConnectedComponent.connectedComponentMk_eq_of_adj
306
+ exact ⟨hvw, by simpa only [← he, Finset.inter_self] using hm⟩
307
+
308
+ variable (label : D → Option C) (R : ℕ) (color : V → C)
309
+ (s : V → Finset D) (own : V → Fin R → Bool)
310
+
311
+ def hitBatches {R : ℕ} (mask : Fin R → Bool) : Finset (Fin R) :=
312
+ Finset.univ.filter (fun r => mask r = true)
313
+
314
+ def BAD {R : ℕ} (mask : Fin R → Bool) : Prop := R / 2 ≤ (hitBatches mask).card
315
+
316
+ lemma batches_partition {R : ℕ} (mask : Fin R → Bool) :
317
+ (hitBatches mask).card + (untouchedBatches mask).card = R := by
318
+ have h := Finset.card_filter_add_card_filter_not (s := Finset.univ) (fun r : Fin R => mask r = true)
319
+ simpa only [hitBatches, untouchedBatches, Bool.not_eq_true, Finset.card_univ, Fintype.card_fin] using h
320
+
321
+ lemma untouched_of_not_bad {R : ℕ} (mask : Fin R → Bool) (h : ¬ BAD mask) :
322
+ R / 2 ≤ (untouchedBatches mask).card := by
323
+ have hp := batches_partition mask
324
+ simp only [BAD, not_le] at h
325
+ omega
326
+
327
+ omit [Fintype C] in
328
+
329
+ theorem simple_component_designations_raw (rate : D → ℝ≥0) (J : ℕ)
330
+ (c : C) (v : {v : V // color v = c})
331
+ (hsingle : ∀ u, color u = c → u = v.val)
332
+ (hcompat : ∀ d ∈ s v, label d = none ∨ label d = some c)
333
+ (hin : inside label c (s v) = Finset.univ) (z : Block label R none → ℕ)
334
+ {L base delta alpha : ℝ} (hL : 10000 ≤ L)
335
+ (hmass : mass (fun d : IntDir label c => rate d) (inside label c (s v)) =
336
+ L * (base + delta - alpha))
337
+ (hint : (37 / 50 : ℝ) ≤ base + delta - alpha) (hbase : (37 / 50 : ℝ) ≤ base)
338
+ (ha : 0 ≤ alpha) (hd : |delta| + alpha ≤ 1) {K : ℕ} (hK : K ≤ R / 2) :
339
+ |∫ x, componentFactor label R color s (Real.exp (-L * base)) own J c z x
340
+ ∂batchMeasure (fun i : Block label R (some c) => rate i.1.2)| ≤
341
+ Real.exp (-(17 / 25 : ℝ) * (L * R)) *
342
+ (|delta| ^ (R / 2) + alpha ^ K +
343
+ ∑ d ∈ inside label c (s v), ((R : ℝ) * (rate d : ℝ)) ^ J +
344
+ if BAD (touched label R c (s v) z) then 1 else 0) := by
345
+ by_cases hg : ¬ BAD (touched label R c (s v) z)
346
+ · simp only [ite_eq_right hg, add_zero]
347
+ exact simple_component_attenuation label R color s own rate J c v hsingle hcompat hin z
348
+ hL hmass hint hbase ha hd (untouched_of_not_bad _ hg) hK
349
+ · simp only [not_not] at hg
350
+ simp only [ite_eq_left hg]
351
+ have hn := nonsimple_component_attenuation label R color s own rate J c v z
352
+ hcompat hL hmass hint hbase
353
+ have hat : Real.exp (-(7 / 10 : ℝ) * (L * R)) ≤
354
+ Real.exp (-(17 / 25 : ℝ) * (L * R)) := by
355
+ apply Real.exp_le_exp.mpr
356
+ have hLR : 0 ≤ L * (R : ℝ) := mul_nonneg (by linarith) (by positivity)
357
+ nlinarith
358
+ calc
359
+ _ ≤ ∫ x, |componentFactor label R color s (Real.exp (-L * base)) own J c z x|
360
+ ∂batchMeasure (fun i : Block label R (some c) => rate i.1.2) := abs_integral_le_integral_abs
361
+ _ ≤ _ := hn
362
+ _ ≤ Real.exp (-(17 / 25 : ℝ) * (L * R)) := hat
363
+ _ ≤ _ := by
364
+ apply le_mul_of_one_le_right (Real.exp_pos _).le
365
+ have he : 0 ≤ ∑ d ∈ inside label c (s v), ((R : ℝ) * (rate d : ℝ)) ^ J := by positivity
366
+ have haK : 0 ≤ alpha ^ K := pow_nonneg ha K
367
+ have hdN : 0 ≤ |delta| ^ (R / 2) := by positivity
368
+ linarith
369
+ omit [Fintype C] in
370
+
371
+ theorem simple_component_designations (rate : D → ℝ≥0) (J : ℕ)
372
+ (c : C) (v : {v : V // color v = c})
373
+ (hsingle : ∀ u, color u = c → u = v.val)
374
+ (hcompat : ∀ d ∈ s v, label d = none ∨ label d = some c)
375
+ (hin : inside label c (s v) = Finset.univ) (z : Block label R none → ℕ)
376
+ {L base delta alpha : ℝ} (hL : 10000 ≤ L)
377
+ (hmass : mass (fun d : IntDir label c => rate d) (inside label c (s v)) =
378
+ L * (base + delta - alpha))
379
+ (hint : (37 / 50 : ℝ) ≤ base + delta - alpha) (hbase : (37 / 50 : ℝ) ≤ base)
380
+ (ha : 0 ≤ alpha) (hd : |delta| + alpha ≤ 1) {K : ℕ} (hK : K ≤ R / 2) :
381
+ |∫ x, componentFactor label R color s (Real.exp (-L * base)) own J c z x
382
+ ∂batchMeasure (fun i : Block label R (some c) => rate i.1.2)| ≤
383
+ Real.exp (-(17 / 25 : ℝ) * (L * R)) *
384
+ (|delta| ^ (R / 2) + alpha ^ K +
385
+ (if R < J then 0 else
386
+ ∑ d ∈ inside label c (s v), ((R : ℝ) * (rate d : ℝ)) ^ J) +
387
+ if BAD (touched label R c (s v) z) then 1 else 0) := by
388
+ by_cases hRJ : R < J
389
+ · simp only [ite_eq_left hRJ, add_zero]
390
+ by_cases hg : ¬ BAD (touched label R c (s v) z)
391
+ · simp only [ite_eq_right hg, add_zero]
392
+ rw [simple_component_integral label R color s _ own rate J c v hsingle hcompat hin z]
393
+ simp_rw [overloaded_eq_empty _ hRJ, Set.compl_empty, Set.indicator_univ]
394
+ exact simple_singleton_attenuation _ _ (own v) (touched label R c (s v) z)
395
+ hL hmass hint hbase ha hd (untouched_of_not_bad _ hg) hK
396
+ · simp only [not_not] at hg
397
+ simp only [ite_eq_left hg]
398
+ have hn := nonsimple_component_attenuation label R color s own rate J c v z
399
+ hcompat hL hmass hint hbase
400
+ have hat : Real.exp (-(7 / 10 : ℝ) * (L * R)) ≤
401
+ Real.exp (-(17 / 25 : ℝ) * (L * R)) := by
402
+ apply Real.exp_le_exp.mpr
403
+ have hLR : 0 ≤ L * (R : ℝ) := mul_nonneg (by linarith) (by positivity)
404
+ nlinarith
405
+ calc
406
+ _ ≤ ∫ x, |componentFactor label R color s (Real.exp (-L * base)) own J c z x|
407
+ ∂batchMeasure (fun i : Block label R (some c) => rate i.1.2) := abs_integral_le_integral_abs
408
+ _ ≤ _ := hn
409
+ _ ≤ Real.exp (-(17 / 25 : ℝ) * (L * R)) := hat
410
+ _ ≤ _ := by
411
+ apply le_mul_of_one_le_right (Real.exp_pos _).le
412
+ have haK : 0 ≤ alpha ^ K := pow_nonneg ha K
413
+ have hdN : 0 ≤ |delta| ^ (R / 2) := by positivity
414
+ linarith
415
+ · simpa only [ite_eq_right hRJ] using
416
+ simple_component_designations_raw label R color s own rate J c v hsingle
417
+ hcompat hin z hL hmass hint hbase ha hd hK
418
+
419
+ end SharpRamseyFive.TupleComponents
420
+
421
+ namespace SharpRamseyFive.HighMoment
422
+ open MeasureTheory ProbabilityTheory
423
+ open scoped BigOperators NNReal
424
+ open SharpRamseyFive.PoissonScore SharpRamseyFive.TupleComponents
425
+ open Classical
426
+ variable {D H : Type} [Fintype D] [DecidableEq D] [Fintype H] [DecidableEq H]
427
+ variable (R : ℕ) (s : H → Finset D) (b : ℝ) (own : H → Fin R → Bool)
428
+
429
+ noncomputable def allTrunc (J : ℕ) (ω : Fin R × D → ℕ) : ℝ :=
430
+ ∏ d : D, lineTrunc R J (fun r => ω (r,d))
431
+
432
+ omit [DecidableEq D] in
433
+ lemma allTrunc_range (J : ℕ) (ω : Fin R × D → ℕ) :
434
+ allTrunc R J ω ∈ Set.Icc (0 : ℝ) 1 := by
435
+ constructor
436
+ · exact Finset.prod_nonneg (fun _ _ => (lineTrunc_range R J _).1)
437
+ · exact Finset.prod_le_one₀ (fun _ _ => (lineTrunc_range R J _).1)
438
+ (fun _ _ => (lineTrunc_range R J _).2)
439
+
440
+ omit [Fintype H] [DecidableEq H] in
441
+ omit [Fintype D] [DecidableEq D] in
442
+ lemma scoreTerm_abs_le (hb : b ∈ Set.Icc (0 : ℝ) 1) (h : H) (ω : Fin R × D → ℕ) :
443
+ |scoreTerm (s h) b (own h) (fun r d => ω (r,d))| ≤ 1 := by
444
+ simpa only [maskedTerm, maskedFactor, Bool.false_eq_true, ↓reduceIte, scoreTerm]
445
+ using abs_maskedTerm_le_one (s h) hb (own h) (fun _ => false) (fun r d => ω (r,d))
446
+ omit [Fintype H] [DecidableEq H] in
447
+ omit [DecidableEq D] in
448
+
449
+ lemma truncated_tuple_abs_le (J : ℕ) (hb : b ∈ Set.Icc (0 : ℝ) 1)
450
+ {V : Type} [Fintype V] (f : V → H) (ω : Fin R × D → ℕ) :
451
+ |allTrunc R J ω * ∏ v, scoreTerm (s (f v)) b (own (f v)) (fun r d => ω (r,d))| ≤ 1 := by
452
+ rw [abs_mul, abs_of_nonneg (allTrunc_range R J ω).1, Finset.abs_prod]
453
+ exact (mul_le_of_le_one_left (by positivity) (allTrunc_range R J ω).2).trans
454
+ (Finset.prod_le_one₀ (fun _ _ => abs_nonneg _)
455
+ (fun _ _ => scoreTerm_abs_le R s b own hb _ ω))
456
+
457
+ end SharpRamseyFive.HighMoment
458
+ end
459
+
460
+ end OAI
lean/OAI/Combinatorics/SharpRamsey/Entropy/ExternalMass.lean ADDED
@@ -0,0 +1,478 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ import Mathlib
2
+ import OAI.Combinatorics.SharpRamsey.Entropy.ForcedHits
3
+
4
+ namespace OAI
5
+
6
+ /-! High moments, finite-field subspaces, and incidence bounds. -/
7
+
8
+ section
9
+ open MeasureTheory ProbabilityTheory
10
+ open scoped BigOperators NNReal
11
+ namespace SharpRamseyFive.PoissonScore
12
+ variable {ι : Type*} [Fintype ι] [DecidableEq ι]
13
+ variable {κ : Type*}
14
+ variable {κ : Type*} [Fintype κ] [DecidableEq κ]
15
+ section ComponentGeometry
16
+ variable {H : Type*} [Fintype H] [DecidableEq H]
17
+ omit [Fintype ι] in
18
+ lemma external_mass_le (rate : ι → ℝ≥0) (s : H → Finset ι)
19
+ {t : ℝ} (ht : 0 ≤ t) (h : H) :
20
+ mass rate (externalPart rate s t h) ≤ (Fintype.card H - 1 : ℕ) * t := by
21
+ classical
22
+ let K := otherComponents rate s t h
23
+ have hK : K ⊆ Finset.univ.erase h := by
24
+ intro k hk
25
+ simp only [K, otherComponents, Finset.mem_filter, Finset.mem_univ, true_and] at hk
26
+ simp only [Finset.mem_erase, Finset.mem_univ, and_true]
27
+ intro he
28
+ subst k
29
+ exact hk rfl
30
+ have hc : K.card ≤ Fintype.card H - 1 := by
31
+ simpa only [Finset.card_erase_of_mem (Finset.mem_univ h), Finset.card_univ] using
32
+ Finset.card_le_card hK
33
+ calc
34
+ _ ≤ ∑ k ∈ K, mass rate (s h ∩ s k) := external_mass_le_sum rate s t h
35
+ _ ≤ K.card * t := by
36
+ simpa only [nsmul_eq_mul] using Finset.sum_le_card_nsmul K
37
+ (fun k => mass rate (s h ∩ s k)) t (by
38
+ intro k hk
39
+ apply cross_component_overlap rate s t
40
+ simpa only [K, otherComponents, Finset.mem_filter, Finset.mem_univ, true_and] using hk)
41
+ _ ≤ _ := mul_le_mul_of_nonneg_right (by exact_mod_cast hc) ht
42
+
43
+ omit [Fintype ι] in
44
+
45
+ lemma internal_mass_lower (rate : ι → ℝ≥0) (s : H → Finset ι)
46
+ {t c : ℝ} (ht : 0 ≤ t) (hs : ∀ h, c ≤ mass rate (s h)) (h : H) :
47
+ c - (Fintype.card H - 1 : ℕ) * t ≤ mass rate (internalPart rate s t h) := by
48
+ have := external_mass_le rate s ht h
49
+ have := internal_external_mass rate s t h
50
+ have := hs h
51
+ linarith
52
+
53
+ omit [Fintype ι] [Fintype H] [DecidableEq H] in
54
+ lemma internal_parts_disjoint (rate : ι → ℝ≥0) (s : H → Finset ι)
55
+ (t : ℝ) {h k : H} (hc : (strongGraph rate s t).connectedComponentMk h ≠
56
+ (strongGraph rate s t).connectedComponentMk k) :
57
+ Disjoint (internalPart rate s t h) (internalPart rate s t k) := by
58
+ classical
59
+ apply Finset.disjoint_left.mpr
60
+ intro i hi hk
61
+ simp only [internalPart, Finset.mem_filter] at hi hk
62
+ exact hi.2 ⟨h, k, hi.1, hk.1, hc⟩
63
+
64
+ noncomputable def componentLabel (rate : ι → ℝ≥0) (s : H → Finset ι)
65
+ (t : ℝ) (i : ι) : Option (strongGraph rate s t).ConnectedComponent := by
66
+ classical
67
+ exact if hi : ∃ h, i ∈ s h then
68
+ if External rate s t i then none else
69
+ some ((strongGraph rate s t).connectedComponentMk hi.choose)
70
+ else none
71
+
72
+ omit [Fintype ι] [DecidableEq H] in
73
+ lemma componentLabel_external (rate : ι → ℝ≥0) (s : H → Finset ι)
74
+ (t : ℝ) {i : ι} (hi : External rate s t i) :
75
+ componentLabel rate s t i = none := by
76
+ classical
77
+ simp only [componentLabel, hi, ↓reduceIte]
78
+ split_ifs <;> rfl
79
+
80
+ omit [Fintype ι] [DecidableEq H] in
81
+ lemma componentLabel_internal (rate : ι → ℝ≥0) (s : H → Finset ι)
82
+ (t : ℝ) {h : H} {i : ι} (hi : i ∈ internalPart rate s t h) :
83
+ componentLabel rate s t i = some ((strongGraph rate s t).connectedComponentMk h) := by
84
+ classical
85
+ simp only [internalPart, Finset.mem_filter] at hi
86
+ have hex : ∃ k, i ∈ s k := ⟨h, hi.1⟩
87
+ have he := hex.choose_spec
88
+ have hc : (strongGraph rate s t).connectedComponentMk hex.choose =
89
+ (strongGraph rate s t).connectedComponentMk h := by
90
+ by_contra hn
91
+ exact hi.2 ⟨hex.choose, h, he, hi.1, hn⟩
92
+ simp only [componentLabel, dite_eq_left hex, ite_eq_right hi.2, hc]
93
+ omit [Fintype ι] [DecidableEq H] in
94
+
95
+ lemma internalPart_iff_label (rate : ι → ℝ≥0) (s : H → Finset ι)
96
+ (t : ℝ) (h : H) (i : ι) :
97
+ i ∈ internalPart rate s t h ↔ i ∈ s h ∧
98
+ componentLabel rate s t i = some ((strongGraph rate s t).connectedComponentMk h) := by
99
+ classical
100
+ constructor
101
+ · intro hi
102
+ exact ⟨(Finset.mem_filter.mp hi).1, componentLabel_internal rate s t hi⟩
103
+ · rintro ⟨hi, he⟩
104
+ apply Finset.mem_filter.mpr
105
+ refine ⟨hi, ?_⟩
106
+ intro hn
107
+ rw [componentLabel_external rate s t hn] at he
108
+ cases he
109
+
110
+ omit [Fintype ι] [DecidableEq H] in
111
+
112
+ lemma direction_internal_or_external (rate : ι → ℝ≥0) (s : H → Finset ι)
113
+ (t : ℝ) {h : H} {i : ι} (hi : i ∈ s h) :
114
+ componentLabel rate s t i = none ∨
115
+ componentLabel rate s t i = some ((strongGraph rate s t).connectedComponentMk h) := by
116
+ classical
117
+ by_cases he : External rate s t i
118
+ · exact Or.inl (componentLabel_external rate s t he)
119
+ · exact Or.inr (componentLabel_internal rate s t (Finset.mem_filter.mpr ⟨hi, he⟩))
120
+ omit [Fintype ι] in
121
+
122
+ lemma source_internal_mass_lower (rate : ι → ℝ≥0) (s : H → Finset ι)
123
+ {p : ℕ} (hp : 0 < p) (hc : Fintype.card H ≤ p)
124
+ (hs : ∀ h, (3 / 4 : ℝ) ≤ mass rate (s h)) (h : H) :
125
+ (37 / 50 : ℝ) ≤ mass rate (internalPart rate s (1 / (100 * p)) h) := by
126
+ have ht : (0 : ℝ) ≤ 1 / (100 * p : ℝ) := by positivity
127
+ have hl := internal_mass_lower rate s ht hs h
128
+ have hh : (0 : ℝ) < p := by exact_mod_cast hp
129
+ have hcard : ((Fintype.card H - 1 : ℕ) : ℝ) ≤ (p : ℝ) := by
130
+ exact_mod_cast ((Nat.sub_le (Fintype.card H) 1).trans hc)
131
+ have hm : ((Fintype.card H - 1 : ℕ) : ℝ) * (1 / (100 * p)) ≤ (1 / 100 : ℝ) := by
132
+ calc
133
+ _ ≤ (p : ℝ) * (1 / (100 * p)) := mul_le_mul_of_nonneg_right hcard ht
134
+ _ = _ := by field_simp
135
+ linarith
136
+
137
+ end ComponentGeometry
138
+
139
+ end SharpRamseyFive.PoissonScore
140
+
141
+ namespace SharpRamseyFive.TupleComponents
142
+ open MeasureTheory ProbabilityTheory
143
+ open scoped BigOperators NNReal
144
+ open SharpRamseyFive.PoissonScore
145
+ open Classical
146
+ variable {D V C : Type} [Fintype D] [DecidableEq D]
147
+ [Fintype V] [DecidableEq V] [Fintype C] [DecidableEq C]
148
+ variable (label : D → Option C) (R : ℕ)
149
+
150
+ abbrev Block (c : Option C) := {i : Fin R × D // label i.2 = c}
151
+ noncomputable def fill (c : C) (z : Block label R none → ℕ)
152
+ (x : Block label R (some c) → ℕ) (r : Fin R) (d : D) : ℕ :=
153
+ if he : label d = none then z ⟨(r,d), he⟩ else
154
+ if hi : label d = some c then x ⟨(r,d), hi⟩ else 0
155
+
156
+ omit [Fintype D] [DecidableEq D] [Fintype C] in
157
+ lemma fill_restrict (c : C) (ω : Fin R × D → ℕ) {d : D}
158
+ (hd : label d = none ∨ label d = some c) (r : Fin R) :
159
+ fill label R c (fun i => ω i) (fun i => ω i) r d = ω (r,d) := by
160
+ rcases hd with hd | hd <;> simp [fill, hd]
161
+
162
+ noncomputable def lineTrunc (J : ℕ) (ω : Fin R → ℕ) : ℝ :=
163
+ if (Finset.univ.filter (fun r => ω r ≠ 0)).card < J then 1 else 0
164
+
165
+ noncomputable def blockTrunc (J : ℕ) (c : Option C) (ω : Block label R c → ℕ) : ℝ :=
166
+ ∏ d : {d : D // label d = c}, lineTrunc R J (fun r => ω ⟨(r,d), d.property⟩)
167
+
168
+ lemma lineTrunc_range (J : ℕ) (ω : Fin R → ℕ) :
169
+ lineTrunc R J ω ∈ Set.Icc (0 : ℝ) 1 := by unfold lineTrunc; split_ifs <;> norm_num
170
+
171
+ omit [DecidableEq D] [Fintype C] in
172
+ lemma blockTrunc_range (J : ℕ) (c : Option C) (ω : Block label R c → ℕ) :
173
+ blockTrunc label R J c ω ∈ Set.Icc (0 : ℝ) 1 := by
174
+ constructor
175
+ · exact Finset.prod_nonneg (fun _ _ => (lineTrunc_range R J _).1)
176
+ · exact Finset.prod_le_one₀ (fun _ _ => (lineTrunc_range R J _).1)
177
+ (fun _ _ => (lineTrunc_range R J _).2)
178
+
179
+ lemma prod_fibers {A K : Type} [Fintype A] [Fintype K] [DecidableEq K]
180
+ (col : A → K) (f : A → ℝ) :
181
+ (∏ c : K, ∏ a : {a : A // col a = c}, f a) = ∏ a, f a := by
182
+ classical
183
+ calc
184
+ _ = ∏ c : K, ∏ a ∈ Finset.univ.filter (fun a => col a = c), f a := by
185
+ apply Finset.prod_congr rfl
186
+ intro c _
187
+ symm
188
+ exact Finset.prod_subtype _ (by simp) f
189
+ _ = _ := by
190
+ simpa using Finset.prod_fiberwise Finset.univ col f
191
+
192
+ omit [DecidableEq D] in
193
+ lemma trunc_split (J : ℕ) (ω : Fin R × D → ℕ) :
194
+ (∏ d : D, lineTrunc R J (fun r => ω (r,d))) =
195
+ blockTrunc label R J none (fun i => ω i) *
196
+ ∏ c : C, blockTrunc label R J (some c) (fun i => ω i) := by
197
+ rw [← Fintype.prod_option (fun c => blockTrunc label R J c (fun i => ω i))]
198
+ exact (prod_fibers label (fun d => lineTrunc R J (fun r => ω (r,d)))).symm
199
+
200
+ omit [Fintype D] [DecidableEq D] in
201
+ lemma emptyIndicator_congr (s : Finset D) (ω ν : D → ℕ)
202
+ (he : ∀ d ∈ s, ω d = ν d) : emptyIndicator s ω = emptyIndicator s ν := by
203
+ have h : ω ∈ emptyEvent s ↔ ν ∈ emptyEvent s := by
204
+ simp only [emptyEvent, Set.mem_pi, Set.mem_singleton_iff, Finset.mem_coe]
205
+ exact forall₂_congr (fun d hd => by rw [he d hd])
206
+ by_cases hω : ω ∈ emptyEvent s
207
+ · simp [emptyIndicator, hω, h.mp hω]
208
+ · simp [emptyIndicator, hω, (not_congr h).mp hω]
209
+ omit [Fintype D] [DecidableEq D] in
210
+
211
+ lemma scoreTerm_congr (s : Finset D) (b : ℝ) (own : Fin R → Bool)
212
+ (ω ν : Fin R → D → ℕ) (he : ∀ r d, d ∈ s → ω r d = ν r d) :
213
+ scoreTerm s b own ω = scoreTerm s b own ν := by
214
+ unfold scoreTerm
215
+ apply Finset.prod_congr rfl
216
+ intro r _
217
+ simp only [centeredFactor, emptyIndicator_congr s (ω r) (ν r) (he r)]
218
+
219
+ variable (color : V → C) (s : V → Finset D) (b : ℝ) (own : V → Fin R → Bool)
220
+
221
+ noncomputable def componentFactor (J : ℕ) (c : C)
222
+ (z : Block label R none → ℕ) (x : Block label R (some c) → ℕ) : ℝ :=
223
+ blockTrunc label R J (some c) x *
224
+ ∏ v : {v : V // color v = c}, scoreTerm (s v) b (own v) (fill label R c z x)
225
+
226
+ omit [DecidableEq V] in
227
+ omit [Fintype C] in
228
+ omit [DecidableEq D] in
229
+ lemma componentFactor_bound (J : ℕ) (hb : b ∈ Set.Icc (0 : ℝ) 1) (c : C)
230
+ (z : Block label R none → ℕ) (x : Block label R (some c) → ℕ) :
231
+ |componentFactor label R color s b own J c z x| ≤ 1 := by
232
+ rw [componentFactor, abs_mul, Finset.abs_prod]
233
+ have htrunc : |blockTrunc label R J (some c) x| ≤ 1 := by
234
+ rw [abs_of_nonneg (blockTrunc_range label R J (some c) x).1]
235
+ exact (blockTrunc_range label R J (some c) x).2
236
+ refine (mul_le_of_le_one_left (Finset.prod_nonneg (fun _ _ => abs_nonneg _))
237
+ htrunc).trans ?_
238
+ apply Finset.prod_le_one₀ (fun _ _ => abs_nonneg _)
239
+ intro vertex _
240
+ simpa only [maskedTerm, maskedFactor, Bool.false_eq_true, ↓reduceIte, scoreTerm]
241
+ using abs_maskedTerm_le_one (s vertex) hb (own vertex) (fun _ => false)
242
+ (fill label R c z x)
243
+
244
+ omit [DecidableEq V] in
245
+ omit [DecidableEq D] in
246
+ lemma tuple_pointwise_split (J : ℕ)
247
+ (hcompat : ∀ v d, d ∈ s v → label d = none ∨ label d = some (color v))
248
+ (ω : Fin R × D → ℕ) :
249
+ (∏ d : D, lineTrunc R J (fun r => ω (r,d))) *
250
+ (∏ v : V, scoreTerm (s v) b (own v) (fun r d => ω (r,d))) =
251
+ blockTrunc label R J none (fun i => ω i) *
252
+ ∏ c : C, componentFactor label R color s b own J c
253
+ (fun i => ω i) (fun i => ω i) := by
254
+ have he (c : C) (v : {v : V // color v = c}) :
255
+ scoreTerm (s v) b (own v)
256
+ (fill label R c (fun i => ω i) (fun i => ω i)) =
257
+ scoreTerm (s v) b (own v) (fun r d => ω (r,d)) := by
258
+ apply scoreTerm_congr R
259
+ intro r d hd
260
+ apply fill_restrict label R c ω _ r
261
+ simpa only [v.property] using hcompat v d hd
262
+ simp_rw [componentFactor, he]
263
+ rw [Finset.prod_mul_distrib, prod_fibers color (fun v => scoreTerm (s v) b (own v) (fun r d => ω (r,d)))]
264
+ rw [trunc_split label R J ω]
265
+ ring
266
+
267
+ omit [DecidableEq V] in
268
+ omit [DecidableEq D] in
269
+
270
+ theorem tuple_integral_split (rate : D → ℝ≥0) (J : ℕ)
271
+ (hb : b ∈ Set.Icc (0 : ℝ) 1)
272
+ (hcompat : ∀ v d, d ∈ s v → label d = none ∨ label d = some (color v)) :
273
+ (∫ ω, (∏ d : D, lineTrunc R J (fun r => ω (r,d))) *
274
+ (∏ v : V, scoreTerm (s v) b (own v) (fun r d => ω (r,d)))
275
+ ∂batchMeasure (fun i : Fin R × D => rate i.2)) =
276
+ ∫ z, blockTrunc label R J none z * ∏ c : C,
277
+ ∫ x, componentFactor label R color s b own J c z x
278
+ ∂batchMeasure (fun i : Block label R (some c) => rate i.1.2)
279
+ ∂batchMeasure (fun i : Block label R none => rate i.1.2) := by
280
+ have he := integral_external_components (fun i : Fin R × D => rate i.2)
281
+ (fun i => label i.2) (blockTrunc label R J none)
282
+ (componentFactor label R color s b own J)
283
+ (fun z => by rw [abs_of_nonneg (blockTrunc_range label R J none z).1];
284
+ exact (blockTrunc_range label R J none z).2)
285
+ (componentFactor_bound label R color s b own J hb)
286
+ rw [← he]
287
+ apply integral_congr_ae
288
+ exact Filter.Eventually.of_forall (tuple_pointwise_split label R color s b own J hcompat)
289
+
290
+ noncomputable def strongSplit (weight rate : D → ℝ≥0) (t : ℝ) (J : ℕ) : ℝ := by
291
+ classical
292
+ let G := strongGraph weight s t
293
+ let label := componentLabel weight s t
294
+ exact ∫ z, blockTrunc label R J none z * ∏ c : G.ConnectedComponent,
295
+ ∫ x, componentFactor label R G.connectedComponentMk s b own J c z x
296
+ ∂batchMeasure (fun i : Block label R (some c) => rate i.1.2)
297
+ ∂batchMeasure (fun i : Block label R none => rate i.1.2)
298
+
299
+ lemma strong_tuple_integral_split (weight rate : D → ℝ≥0) (t : ℝ) (J : ℕ)
300
+ (hb : b ∈ Set.Icc (0 : ℝ) 1) :
301
+ (∫ ω, (∏ d : D, lineTrunc R J (fun r => ω (r,d))) *
302
+ (∏ v : V, scoreTerm (s v) b (own v) (fun r d => ω (r,d)))
303
+ ∂batchMeasure (fun i : Fin R × D => rate i.2)) =
304
+ strongSplit R s b own weight rate t J := by
305
+ classical
306
+ unfold strongSplit
307
+ apply tuple_integral_split _ R _ s b own rate J hb
308
+ intro v d hd
309
+ exact direction_internal_or_external weight s t hd
310
+
311
+ abbrev IntDir (c : C) := {d : D // label d = some c}
312
+
313
+ noncomputable def inside (c : C) (S : Finset D) : Finset (IntDir label c) :=
314
+ Finset.univ.filter (fun d => d.val ∈ S)
315
+
316
+ noncomputable def touched (_c : C) (S : Finset D) (z : Block label R none → ℕ)
317
+ (r : Fin R) : Bool :=
318
+ decide (∃ d : {d : D // label d = none}, d.val ∈ S ∧ z ⟨(r,d), d.property⟩ ≠ 0)
319
+
320
+ noncomputable def unblock (c : C) (x : Block label R (some c) → ℕ) :
321
+ Fin R → IntDir label c → ℕ := fun r d => x ⟨(r,d), d.property⟩
322
+
323
+ omit [Fintype C] in
324
+ lemma fill_empty_iff (c : C) (S : Finset D)
325
+ (hc : ∀ d ∈ S, label d = none ∨ label d = some c)
326
+ (z : Block label R none → ℕ) (x : Block label R (some c) → ℕ) (r : Fin R) :
327
+ fill label R c z x r ∈ emptyEvent S ↔
328
+ touched label R c S z r = false ∧
329
+ unblock label R c x r ∈ emptyEvent (inside label c S) := by
330
+ simp only [emptyEvent, Set.mem_pi, Set.mem_singleton_iff, Finset.mem_coe]
331
+ constructor
332
+ · intro h
333
+ constructor
334
+ · simp only [touched, decide_eq_false_iff_not, not_exists, not_and]
335
+ intro d hd
336
+ have := h d hd
337
+ simpa [fill, d.property] using this
338
+ · intro d hd
339
+ have := h d (Finset.mem_filter.mp hd).2
340
+ simpa [fill, d.property, unblock] using this
341
+ · rintro ⟨he, hi⟩ d hd
342
+ rcases hc d hd with hd0 | hdc
343
+ · have hz : z ⟨(r,d), hd0⟩ = 0 := by
344
+ have he' : ¬ ∃ d : {d : D // label d = none},
345
+ d.val ∈ S ∧ z ⟨(r,d), d.property⟩ ≠ 0 := by
346
+ simpa only [touched, decide_eq_false_iff_not] using he
347
+ by_contra hn
348
+ exact he' ⟨⟨d,hd0⟩, hd, hn⟩
349
+ simpa [fill, hd0] using hz
350
+ · have hz := hi ⟨d,hdc⟩ (by simp [inside, hd])
351
+ simpa [fill, hdc, unblock] using hz
352
+ omit [Fintype C] in
353
+
354
+ lemma scoreTerm_eq_masked (c : C) (S : Finset D) (B : ℝ) (o : Fin R → Bool)
355
+ (hc : ∀ d ∈ S, label d = none ∨ label d = some c)
356
+ (z : Block label R none → ℕ) (x : Block label R (some c) → ℕ) :
357
+ scoreTerm S B o (fill label R c z x) =
358
+ maskedTerm (inside label c S) B o (touched label R c S z) (unblock label R c x) := by
359
+ apply Finset.prod_congr rfl
360
+ intro r _
361
+ have hh := fill_empty_iff label R c S hc z x r
362
+ cases ho : o r <;> simp only [maskedFactor, Bool.false_eq_true, ↓reduceIte]
363
+ by_cases he : touched label R c S z r = true
364
+ · have hn : fill label R c z x r ∉ emptyEvent S := by simpa [he] using hh
365
+ simp [he, centeredFactor, emptyIndicator, hn]
366
+ · have ht : touched label R c S z r = false := Bool.eq_false_of_not_eq_true he
367
+ simp only [ht, true_and] at hh
368
+ by_cases hi : unblock label R c x r ∈ emptyEvent (inside label c S)
369
+ · simp [ht, centeredFactor, emptyIndicator, hi, hh.mpr hi]
370
+ · simp [ht, centeredFactor, emptyIndicator, hi, (not_congr hh).mpr hi]
371
+
372
+ noncomputable def blockCoords (c : C) : (Fin R × IntDir label c) ≃ Block label R (some c) where
373
+ toFun i := ⟨(i.1,i.2), i.2.property⟩
374
+ invFun i := (i.1.1, ⟨i.1.2, i.property⟩)
375
+ left_inv _ := rfl
376
+ right_inv _ := rfl
377
+
378
+ noncomputable def unblockEquiv (c : C) :
379
+ (Block label R (some c) → ℕ) ≃ᵐ (Fin R → IntDir label c → ℕ) :=
380
+ (MeasurableEquiv.piCongrLeft (fun _ : Block label R (some c) => ℕ)
381
+ (blockCoords label R c)).symm.trans (MeasurableEquiv.curry (Fin R) (IntDir label c) ℕ)
382
+
383
+ omit [Fintype D] [DecidableEq D] [Fintype C] [DecidableEq C] in
384
+ @[simp] lemma unblockEquiv_apply (c : C) (x : Block label R (some c) → ℕ) :
385
+ unblockEquiv label R c x = unblock label R c x := rfl
386
+
387
+ omit [Fintype C] in
388
+ omit [DecidableEq D] in
389
+ lemma measurePreserving_unblock (rate : D → ℝ≥0) (c : C) :
390
+ MeasurePreserving (unblockEquiv label R c)
391
+ (batchMeasure (fun i : Block label R (some c) => rate i.1.2))
392
+ (scheduleMeasure (fun d : IntDir label c => rate d) R) := by
393
+ exact (measurePreserving_uncurry_schedule (fun d : IntDir label c => rate d) R).symm.comp
394
+ (measurePreserving_piCongrLeft
395
+ (fun i : Block label R (some c) => poissonMeasure (rate i.1.2))
396
+ (blockCoords label R c)).symm
397
+
398
+ omit [DecidableEq D] [Fintype C] in
399
+ lemma integrable_block_bounded (rate : D → ℝ≥0) (c : Option C)
400
+ (f : (Block label R c → ℕ) → ℝ) (h : ∀ x, |f x| ≤ 1) :
401
+ Integrable f (batchMeasure (fun i : Block label R c => rate i.1.2)) := by
402
+ apply Integrable.of_bound (measurable_of_countable f).aestronglyMeasurable 1
403
+ exact Filter.Eventually.of_forall (fun x => by simpa only [Real.norm_eq_abs] using h x)
404
+ omit [Fintype C] in
405
+ omit [DecidableEq D] in
406
+
407
+ lemma componentFactor_abs_le_term (J : ℕ) (hb : b ∈ Set.Icc (0 : ℝ) 1)
408
+ (c : C) (z : Block label R none → ℕ) (x : Block label R (some c) → ℕ)
409
+ (v : {v : V // color v = c}) :
410
+ |componentFactor label R color s b own J c z x| ≤
411
+ |scoreTerm (s v) b (own v) (fill label R c z x)| := by
412
+ have hterm (u : V) : |scoreTerm (s u) b (own u) (fill label R c z x)| ≤ 1 := by
413
+ simpa only [maskedTerm, maskedFactor, Bool.false_eq_true, ↓reduceIte, scoreTerm]
414
+ using abs_maskedTerm_le_one (s u) hb (own u) (fun _ => false) (fill label R c z x)
415
+ rw [componentFactor, abs_mul, Finset.abs_prod]
416
+ have hp : (∏ u : {v : V // color v = c},
417
+ |scoreTerm (s u) b (own u) (fill label R c z x)|) ≤
418
+ |scoreTerm (s v) b (own v) (fill label R c z x)| := by
419
+ rw [← Finset.prod_erase_mul _ _ (Finset.mem_univ v)]
420
+ have he : (∏ u ∈ Finset.univ.erase v,
421
+ |scoreTerm (s u) b (own u) (fill label R c z x)|) ≤ 1 :=
422
+ Finset.prod_le_one₀ (fun _ _ => abs_nonneg _) (fun u _ => hterm u)
423
+ simpa using mul_le_mul_of_nonneg_right he (abs_nonneg
424
+ (scoreTerm (s v) b (own v) (fill label R c z x)))
425
+ calc
426
+ _ ≤ ∏ u : {v : V // color v = c},
427
+ |scoreTerm (s u) b (own u) (fill label R c z x)| := by
428
+ apply mul_le_of_le_one_left (Finset.prod_nonneg (fun _ _ => abs_nonneg _))
429
+ rw [abs_of_nonneg (blockTrunc_range label R J (some c) x).1]
430
+ exact (blockTrunc_range label R J (some c) x).2
431
+ _ ≤ _ := hp
432
+
433
+ omit [Fintype C] in
434
+
435
+ lemma component_integral_abs_le (rate : D → ℝ≥0) (J : ℕ)
436
+ (c : C) (v : {v : V // color v = c}) (z : Block label R none → ℕ)
437
+ (hcompat : ∀ d ∈ s v, label d = none ∨ label d = some c)
438
+ {L lam base a : ℝ} (hL : 0 ≤ L) (ha : 0 ≤ a)
439
+ (hmass : mass (fun d : IntDir label c => rate d) (inside label c (s v)) = L * lam)
440
+ (hlam : a ≤ lam) (hbase : a ≤ base) :
441
+ (∫ x, |componentFactor label R color s (Real.exp (-L * base)) own J c z x|
442
+ ∂batchMeasure (fun i : Block label R (some c) => rate i.1.2)) ≤
443
+ (2 * Real.exp (-L * a)) ^ R := by
444
+ have hb : Real.exp (-L * base) ∈ Set.Icc (0 : ℝ) 1 :=
445
+ ⟨(Real.exp_pos _).le, Real.exp_le_one_iff.mpr (by nlinarith)⟩
446
+ let f := fun w => |maskedTerm (inside label c (s v)) (Real.exp (-L * base))
447
+ (own v) (touched label R c (s v) z) w|
448
+ have he (x : Block label R (some c) → ℕ) :
449
+ |scoreTerm (s v) (Real.exp (-L * base)) (own v) (fill label R c z x)| =
450
+ f (unblockEquiv label R c x) := by
451
+ rw [scoreTerm_eq_masked label R c (s v) _ _ hcompat]
452
+ rfl
453
+ calc
454
+ _ ≤ ∫ x, f (unblockEquiv label R c x)
455
+ ∂batchMeasure (fun i : Block label R (some c) => rate i.1.2) := by
456
+ apply integral_mono
457
+ · apply integrable_block_bounded label R rate (some c)
458
+ intro x
459
+ rw [abs_abs]
460
+ exact componentFactor_bound label R color s _ own J hb c z x
461
+ · apply integrable_block_bounded label R rate (some c)
462
+ intro x
463
+ dsimp only [f]
464
+ rw [abs_abs]
465
+ exact abs_maskedTerm_le_one _ hb _ _ _
466
+ · intro x
467
+ dsimp only
468
+ rw [← he x]
469
+ exact componentFactor_abs_le_term label R color s _ own J hb c z x v
470
+ _ = ∫ w, f w ∂scheduleMeasure (fun d : IntDir label c => rate d) R :=
471
+ (measurePreserving_unblock label R rate c).integral_comp
472
+ (unblockEquiv label R c).measurableEmbedding f
473
+ _ ≤ _ := integral_abs_maskedTerm_exp_le _ _ _ _ hL hmass hlam hbase
474
+
475
+ end SharpRamseyFive.TupleComponents
476
+ end
477
+
478
+ end OAI
lean/OAI/Combinatorics/SharpRamsey/Entropy/ForcedHits.lean ADDED
@@ -0,0 +1,467 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ import Mathlib
2
+ import OAI.Combinatorics.SharpRamsey.Entropy.IntegralTypicalScoreSq
3
+
4
+ namespace OAI
5
+
6
+ /-! High moments, finite-field subspaces, and incidence bounds. -/
7
+
8
+ section
9
+ open MeasureTheory ProbabilityTheory
10
+ open scoped BigOperators NNReal
11
+ namespace SharpRamseyFive.PoissonScore
12
+ variable {ι : Type*} [Fintype ι] [DecidableEq ι]
13
+ variable {κ : Type*}
14
+ omit [Fintype ι] [DecidableEq ι] in
15
+ lemma forcedHits_le_one {R : ℕ} (i : ι) (T : Finset (Fin R)) (ω : Fin R → ι → ℕ) :
16
+ forcedHits i T ω ≤ 1 := Finset.prod_le_one₀ (fun _ _ => hitIndicator_nonneg _ _)
17
+ (fun _ _ => hitIndicator_le_one _ _)
18
+
19
+ omit [Fintype ι] [DecidableEq ι] in
20
+ lemma abs_maskedTerm_mul_forcedHits {R : ℕ} (s : Finset ι) (i : ι)
21
+ (T : Finset (Fin R)) (b : ℝ) (own touched : Fin R → Bool) (ω : Fin R → ι → ℕ) :
22
+ |maskedTerm s b own touched ω| * forcedHits i T ω =
23
+ ∏ r, (|maskedFactor s b (own r) (touched r) (ω r)| *
24
+ if r ∈ T then hitIndicator i (ω r) else 1) := by
25
+ simp only [maskedTerm, Finset.abs_prod, Finset.prod_mul_distrib,
26
+ Finset.prod_ite_mem, Finset.univ_inter, forcedHits]
27
+ omit [DecidableEq ι] in
28
+
29
+ lemma integral_abs_maskedTerm_forcedHits_le (rate : ι → ℝ≥0) {R : ℕ}
30
+ (s : Finset ι) (i : ι) (hi : i ∈ s) (T : Finset (Fin R))
31
+ (own touched : Fin R → Bool) {L lam base c : ℝ} (hL : 0 ≤ L)
32
+ (hmass : mass rate s = L * lam) (hlam : c ≤ lam) (hbase : c ≤ base) :
33
+ (∫ ω, |maskedTerm s (Real.exp (-L * base)) own touched ω| * forcedHits i T ω
34
+ ∂scheduleMeasure rate R) ≤
35
+ (2 * Real.exp (-L * c)) ^ R * (rate i : ℝ) ^ T.card := by
36
+ simp_rw [abs_maskedTerm_mul_forcedHits]
37
+ unfold scheduleMeasure
38
+ rw [integral_fintype_prod_eq_prod (f := fun r ω =>
39
+ |maskedFactor s (Real.exp (-L * base)) (own r) (touched r) ω| *
40
+ if r ∈ T then hitIndicator i ω else 1)]
41
+ calc
42
+ _ ≤ ∏ r, (2 * Real.exp (-L * c)) * (if r ∈ T then (rate i : ℝ) else 1) := by
43
+ apply Finset.prod_le_prod₀
44
+ · intro r _
45
+ apply integral_nonneg
46
+ intro ω
47
+ apply mul_nonneg (abs_nonneg _)
48
+ split
49
+ · exact hitIndicator_nonneg _ _
50
+ · norm_num
51
+ · intro r _
52
+ by_cases hr : r ∈ T
53
+ · simp only [hr, ↓reduceIte]
54
+ have h := integral_abs_maskedFactor_hit_le rate s i hi (own r) (touched r) hL hbase
55
+ have he := Real.exp_pos (-L * c)
56
+ have hi0 : 0 ≤ (rate i : ℝ) := (rate i).coe_nonneg
57
+ nlinarith
58
+ · simp only [hr, ↓reduceIte, mul_one]
59
+ exact integral_abs_maskedFactor_exp_le rate s _ _ hL hmass hlam hbase
60
+ _ = _ := by rw [Finset.prod_mul_distrib]; simp [Finset.prod_ite_mem]
61
+
62
+ def hitBatches {R : ℕ} (i : ι) (ω : Fin R → ι → ℕ) : Finset (Fin R) :=
63
+ Finset.univ.filter (fun r => ω r i ≠ 0)
64
+
65
+ def overloaded {R : ℕ} (s : Finset ι) (J : ℕ) : Set (Fin R → ι → ℕ) :=
66
+ {ω | ∃ i ∈ s, J ≤ (hitBatches i ω).card}
67
+
68
+ omit [Fintype ι] [DecidableEq ι] in
69
+
70
+ lemma overloaded_eq_empty {R J : ℕ} (s : Finset ι) (h : R < J) :
71
+ (overloaded s J : Set (Fin R → ι → ℕ)) = ∅ := by
72
+ apply Set.eq_empty_iff_forall_notMem.mpr
73
+ intro ω he
74
+ obtain ⟨i, hi, hJ⟩ := he
75
+ have hc : (hitBatches i ω).card ≤ R := by
76
+ simpa only [hitBatches, Finset.card_univ, Fintype.card_fin] using
77
+ Finset.card_le_card (Finset.filter_subset (fun r : Fin R => ω r i ≠ 0) Finset.univ)
78
+ omega
79
+ omit [Fintype ι] [DecidableEq ι] in
80
+
81
+ lemma forcedHits_eq_one_of_subset {R : ℕ} (i : ι) (T : Finset (Fin R))
82
+ (ω : Fin R → ι → ℕ) (h : T ⊆ hitBatches i ω) : forcedHits i T ω = 1 := by
83
+ apply Finset.prod_eq_one
84
+ intro r hr
85
+ rw [hitIndicator_eq]
86
+ have hz : ω r i ≠ 0 := (Finset.mem_filter.mp (h hr)).2
87
+ simp [hz]
88
+ omit [Fintype ι] [DecidableEq ι] in
89
+
90
+ lemma overload_indicator_le_certificates {R : ℕ} (s : Finset ι) (J : ℕ)
91
+ (ω : Fin R → ι → ℕ) :
92
+ (overloaded s J).indicator (fun _ => (1 : ℝ)) ω ≤
93
+ ∑ i ∈ s, ∑ T ∈ (Finset.univ : Finset (Fin R)).powersetCard J, forcedHits i T ω := by
94
+ have hnonneg : ∀ i, 0 ≤ ∑ T ∈ (Finset.univ : Finset (Fin R)).powersetCard J, forcedHits i T ω := by
95
+ intro i
96
+ exact Finset.sum_nonneg (fun T _ => forcedHits_nonneg i T ω)
97
+ by_cases h : ω ∈ overloaded s J
98
+ · rw [Set.indicator_of_mem h]
99
+ obtain ⟨i, hi, hcard⟩ := h
100
+ obtain ⟨T, hT, hTc⟩ := Finset.exists_subset_card_eq hcard
101
+ have hTm : T ∈ (Finset.univ : Finset (Fin R)).powersetCard J := by
102
+ simp only [Finset.mem_powersetCard]
103
+ exact ⟨Finset.subset_univ _, hTc⟩
104
+ calc
105
+ 1 = forcedHits i T ω := (forcedHits_eq_one_of_subset i T ω hT).symm
106
+ _ ≤ ∑ U ∈ (Finset.univ : Finset (Fin R)).powersetCard J, forcedHits i U ω :=
107
+ Finset.single_le_sum (fun U _ => forcedHits_nonneg i U ω) hTm
108
+ _ ≤ _ := Finset.single_le_sum (fun i _ => hnonneg i) hi
109
+ · rw [Set.indicator_of_notMem h]
110
+ exact Finset.sum_nonneg (fun i _ => hnonneg i)
111
+ omit [DecidableEq ι] in
112
+
113
+ lemma integrable_abs_maskedTerm_forcedHits (rate : ι → ℝ≥0) {R : ℕ}
114
+ (s : Finset ι) {b : ℝ} (hb : b ∈ Set.Icc 0 1) (own touched : Fin R → Bool)
115
+ (i : ι) (T : Finset (Fin R)) :
116
+ Integrable (fun ω => |maskedTerm s b own touched ω| * forcedHits i T ω)
117
+ (scheduleMeasure rate R) := by
118
+ apply integrable_schedule_of_abs_le rate _ 1
119
+ intro ω
120
+ rw [abs_mul, abs_abs, abs_of_nonneg (forcedHits_nonneg i T ω)]
121
+ exact (mul_le_of_le_one_left (forcedHits_nonneg i T ω)
122
+ (abs_maskedTerm_le_one s hb own touched ω)).trans (forcedHits_le_one i T ω)
123
+
124
+ omit [DecidableEq ι] in
125
+
126
+ lemma truncation_error_raw (rate : ι → ℝ≥0) {R : ℕ} (s : Finset ι) (J : ℕ)
127
+ (own touched : Fin R → Bool) {L lam base c : ℝ} (hL : 0 ≤ L) (hc : 0 ≤ c)
128
+ (hmass : mass rate s = L * lam) (hlam : c ≤ lam) (hbase : c ≤ base) :
129
+ (∫ ω, (overloaded s J).indicator (fun ω =>
130
+ |maskedTerm s (Real.exp (-L * base)) own touched ω|) ω ∂scheduleMeasure rate R) ≤
131
+ (2 * Real.exp (-L * c)) ^ R * ∑ i ∈ s, ((R : ℝ) * (rate i : ℝ)) ^ J := by
132
+ have hb : Real.exp (-L * base) ∈ Set.Icc 0 1 :=
133
+ ⟨(Real.exp_pos _).le, Real.exp_le_one_iff.mpr (by nlinarith)⟩
134
+ let f := fun ω => |maskedTerm s (Real.exp (-L * base)) own touched ω|
135
+ have hf (i : ι) (T : Finset (Fin R)) := integrable_abs_maskedTerm_forcedHits rate s hb own touched i T
136
+ have hpoint (ω) : (overloaded s J).indicator f ω ≤
137
+ ∑ i ∈ s, ∑ T ∈ (Finset.univ : Finset (Fin R)).powersetCard J, f ω * forcedHits i T ω := by
138
+ have hh := mul_le_mul_of_nonneg_left (overload_indicator_le_certificates s J ω) (abs_nonneg
139
+ (maskedTerm s (Real.exp (-L * base)) own touched ω))
140
+ by_cases he : ω ∈ overloaded s J
141
+ · simpa [he, f, Finset.mul_sum] using hh
142
+ · simpa [he, f, Finset.mul_sum] using hh
143
+ calc
144
+ _ ≤ ∫ ω, ∑ i ∈ s, ∑ T ∈ (Finset.univ : Finset (Fin R)).powersetCard J,
145
+ f ω * forcedHits i T ω ∂scheduleMeasure rate R := by
146
+ apply integral_mono
147
+ · apply integrable_schedule_of_abs_le rate _ 1
148
+ intro ω
149
+ by_cases h : ω ∈ overloaded s J
150
+ · simpa [h] using abs_maskedTerm_le_one s hb own touched ω
151
+ · simp [h]
152
+ · exact integrable_finsetSum _ (fun i _ => integrable_finsetSum _ (fun T _ => hf i T))
153
+ · exact hpoint
154
+ _ = ∑ i ∈ s, ∑ T ∈ (Finset.univ : Finset (Fin R)).powersetCard J,
155
+ ∫ ω, f ω * forcedHits i T ω ∂scheduleMeasure rate R := by
156
+ rw [integral_finsetSum _ (fun i _ => integrable_finsetSum _ (fun T _ => hf i T))]
157
+ apply Finset.sum_congr rfl
158
+ intro i hi
159
+ rw [integral_finsetSum _ (fun T _ => hf i T)]
160
+ _ ≤ ∑ i ∈ s, (2 * Real.exp (-L * c)) ^ R * ((R : ℝ) * (rate i : ℝ)) ^ J := by
161
+ apply Finset.sum_le_sum
162
+ intro i hi
163
+ calc
164
+ _ ≤ ∑ T ∈ (Finset.univ : Finset (Fin R)).powersetCard J,
165
+ (2 * Real.exp (-L * c)) ^ R * (rate i : ℝ) ^ J := by
166
+ apply Finset.sum_le_sum
167
+ intro T hT
168
+ have hTJ := (Finset.mem_powersetCard.mp hT).2
169
+ simpa only [hTJ] using integral_abs_maskedTerm_forcedHits_le rate s i hi T
170
+ own touched hL hmass hlam hbase
171
+ _ = (R.choose J : ℝ) * ((2 * Real.exp (-L * c)) ^ R * (rate i : ℝ) ^ J) := by simp
172
+ _ ≤ _ := by
173
+ have hchoose : (R.choose J : ℝ) ≤ (R : ℝ) ^ J := by exact_mod_cast Nat.choose_le_pow R J
174
+ calc
175
+ _ ≤ (R : ℝ) ^ J * ((2 * Real.exp (-L * c)) ^ R * (rate i : ℝ) ^ J) :=
176
+ mul_le_mul_of_nonneg_right hchoose (by positivity)
177
+ _ = _ := by rw [mul_pow]; ring
178
+ _ = _ := (Finset.mul_sum _ _ _).symm
179
+ omit [DecidableEq ι] in
180
+
181
+ lemma truncation_error (rate : ι → ℝ≥0) {R : ℕ} (s : Finset ι) (J : ℕ)
182
+ (own touched : Fin R → Bool) {L lam base : ℝ} (hL : 10000 ≤ L)
183
+ (hmass : mass rate s = L * lam) (hlam : (37 / 50 : ℝ) ≤ lam)
184
+ (hbase : (37 / 50 : ℝ) ≤ base) :
185
+ (∫ ω, (overloaded s J).indicator (fun ω =>
186
+ |maskedTerm s (Real.exp (-L * base)) own touched ω|) ω ∂scheduleMeasure rate R) ≤
187
+ Real.exp (-(17 / 25 : ℝ) * (L * R)) *
188
+ ∑ i ∈ s, ((R : ℝ) * (rate i : ℝ)) ^ J := by
189
+ have hraw := truncation_error_raw rate s J own touched (show 0 ≤ L by linarith)
190
+ (show (0 : ℝ) ≤ 37 / 50 by norm_num) hmass hlam hbase
191
+ apply hraw.trans
192
+ apply mul_le_mul_of_nonneg_right _ (Finset.sum_nonneg (fun _ _ => by positivity))
193
+ calc
194
+ (2 * Real.exp (-L * (37 / 50 : ℝ))) ^ R ≤
195
+ (2 * L * Real.exp (-L * (37 / 50 : ℝ))) ^ R := by
196
+ apply pow_le_pow_left₀ (by positivity)
197
+ have := Real.exp_pos (-L * (37 / 50 : ℝ))
198
+ nlinarith
199
+ _ ≤ _ := by simpa only [neg_mul, mul_comm L (37 / 50 : ℝ)] using two_mul_score_attenuation hL R
200
+ omit [DecidableEq ι] in
201
+
202
+ lemma abs_integral_compl_indicator_le (rate : ι → ℝ≥0) {R : ℕ}
203
+ (s : Finset ι) {b : ℝ} (hb : b ∈ Set.Icc 0 1) (own touched : Fin R → Bool)
204
+ (E : Set (Fin R → ι → ℕ)) :
205
+ |∫ ω, Eᶜ.indicator (maskedTerm s b own touched) ω ∂scheduleMeasure rate R| ≤
206
+ |∫ ω, maskedTerm s b own touched ω ∂scheduleMeasure rate R| +
207
+ ∫ ω, E.indicator (fun ω => |maskedTerm s b own touched ω|) ω ∂scheduleMeasure rate R := by
208
+ have hf := integrable_schedule_of_abs_le rate _ 1 (abs_maskedTerm_le_one s hb own touched)
209
+ have hEf : Integrable (E.indicator (maskedTerm s b own touched)) (scheduleMeasure rate R) := by
210
+ apply integrable_schedule_of_abs_le rate _ 1
211
+ intro ω
212
+ by_cases h : ω ∈ E
213
+ · simpa [h] using abs_maskedTerm_le_one s hb own touched ω
214
+ · simp [h]
215
+ have heq : Eᶜ.indicator (maskedTerm s b own touched) =
216
+ fun ω => maskedTerm s b own touched ω - E.indicator (maskedTerm s b own touched) ω := by
217
+ funext ω
218
+ by_cases h : ω ∈ E <;> simp [h]
219
+ rw [heq, integral_sub hf hEf]
220
+ apply (abs_sub _ _).trans
221
+ apply add_le_add le_rfl
222
+ have habs : (fun ω => |E.indicator (maskedTerm s b own touched) ω|) =
223
+ (E.indicator (fun ω => |maskedTerm s b own touched ω|)) := by
224
+ funext ω
225
+ by_cases h : ω ∈ E <;> simp [h]
226
+ rw [← habs]
227
+ exact abs_integral_le_integral_abs
228
+
229
+ omit [DecidableEq ι] in
230
+
231
+ lemma simple_singleton_truncated (rate : ι → ℝ≥0) {R : ℕ}
232
+ (s : Finset ι) (J : ℕ) (own touched : Fin R → Bool) {L base delta alpha : ℝ}
233
+ (hL : 10000 ≤ L) (hmass : mass rate s = L * (base + delta - alpha))
234
+ (hinternal : (37 / 50 : ℝ) ≤ base + delta - alpha) (hbase : (37 / 50 : ℝ) ≤ base)
235
+ (ha : 0 ≤ alpha) (hd : |delta| + alpha ≤ 1) {N K : ℕ}
236
+ (hN : N ≤ (untouchedBatches touched).card) (hK : K ≤ N) :
237
+ |∫ ω, (overloaded s J)ᶜ.indicator
238
+ (maskedTerm s (Real.exp (-L * base)) own touched) ω ∂scheduleMeasure rate R| ≤
239
+ Real.exp (-(17 / 25 : ℝ) * (L * R)) *
240
+ (|delta| ^ N + alpha ^ K + ∑ i ∈ s, ((R : ℝ) * (rate i : ℝ)) ^ J) := by
241
+ have hb : Real.exp (-L * base) ∈ Set.Icc 0 1 :=
242
+ ⟨(Real.exp_pos _).le, Real.exp_le_one_iff.mpr (by nlinarith)⟩
243
+ calc
244
+ _ ≤ _ := abs_integral_compl_indicator_le rate s hb own touched (overloaded s J)
245
+ _ ≤ Real.exp (-(17 / 25 : ℝ) * (L * R)) * (|delta| ^ N + alpha ^ K) +
246
+ Real.exp (-(17 / 25 : ℝ) * (L * R)) * ∑ i ∈ s, ((R : ℝ) * (rate i : ℝ)) ^ J :=
247
+ add_le_add (simple_singleton_attenuation rate s own touched hL hmass hinternal hbase ha hd hN hK)
248
+ (truncation_error rate s J own touched hL hmass hinternal hbase)
249
+ _ = _ := by ring
250
+
251
+ omit [DecidableEq ι] in
252
+ lemma measurePreserving_uncurry_schedule (rate : ι → ℝ≥0) (R : ℕ) :
253
+ MeasurePreserving (MeasurableEquiv.curry (Fin R) ι ℕ).symm
254
+ (scheduleMeasure rate R) (batchMeasure (fun p : Fin R × ι => rate p.2)) := by
255
+ refine ⟨(MeasurableEquiv.curry (Fin R) ι ℕ).symm.measurable, ?_⟩
256
+ simpa only [Measure.infinitePi_eq_pi, scheduleMeasure, batchMeasure] using
257
+ Measure.infinitePi_map_curry_symm (fun (_ : Fin R) i => poissonMeasure (rate i))
258
+
259
+ variable {κ : Type*} [Fintype κ] [DecidableEq κ]
260
+
261
+ noncomputable def partitionEquiv (label : ι → κ) :
262
+ (ι → ℕ) ≃ᵐ (∀ c : κ, {i : ι // label i = c} → ℕ) :=
263
+ (MeasurableEquiv.piCongrLeft (fun _ : ι => ℕ) (Equiv.sigmaFiberEquiv label)).symm.trans
264
+ (MeasurableEquiv.piCurry (fun (c : κ) (_ : {i : ι // label i = c}) => ℕ))
265
+
266
+ omit [Fintype ι] [DecidableEq ι] [Fintype κ] [DecidableEq κ] in
267
+ @[simp] lemma partitionEquiv_apply (label : ι → κ) (ω : ι → ℕ) (c : κ)
268
+ (i : {i : ι // label i = c}) : partitionEquiv label ω c i = ω i := rfl
269
+
270
+ omit [DecidableEq ι] in
271
+ lemma measurePreserving_partition (rate : ι → ℝ≥0) (label : ι → κ) :
272
+ MeasurePreserving (partitionEquiv label) (batchMeasure rate)
273
+ (Measure.pi (fun c : κ => batchMeasure (fun i : {i : ι // label i = c} => rate i))) := by
274
+ have hc : MeasurePreserving
275
+ (MeasurableEquiv.piCurry (fun (c : κ) (_ : {i : ι // label i = c}) => ℕ))
276
+ (Measure.pi (fun p : (c : κ) × {i : ι // label i = c} => poissonMeasure (rate p.2)))
277
+ (Measure.pi (fun c : κ => batchMeasure (fun i : {i : ι // label i = c} => rate i))) := by
278
+ refine ⟨(MeasurableEquiv.piCurry _).measurable, ?_⟩
279
+ simpa only [Measure.infinitePi_eq_pi, batchMeasure] using
280
+ Measure.infinitePi_map_piCurry (fun (c : κ) (i : {i : ι // label i = c}) =>
281
+ poissonMeasure (rate i))
282
+ exact hc.comp ((measurePreserving_piCongrLeft (fun i => poissonMeasure (rate i))
283
+ (Equiv.sigmaFiberEquiv label)).symm)
284
+
285
+ omit [DecidableEq ι] in
286
+
287
+ lemma integral_partition_prod (rate : ι → ℝ≥0) (label : ι → κ)
288
+ (f : ∀ c : κ, ({i : ι // label i = c} → ℕ) → ℝ) :
289
+ (∫ ω, ∏ c, f c (fun i => ω i) ∂batchMeasure rate) =
290
+ ∏ c, ∫ ω, f c ω ∂batchMeasure (fun i : {i : ι // label i = c} => rate i) := by
291
+ calc
292
+ _ = ∫ ω, ∏ c, f c (ω c) ∂Measure.pi
293
+ (fun c : κ => batchMeasure (fun i : {i : ι // label i = c} => rate i)) :=
294
+ (measurePreserving_partition rate label).integral_comp
295
+ (partitionEquiv label).measurableEmbedding _
296
+ _ = _ := integral_fintype_prod_eq_prod _
297
+
298
+ noncomputable def externalEquiv (label : ι → Option κ) :
299
+ (ι → ℕ) ≃ᵐ ((∀ c : κ, {i : ι // label i = some c} → ℕ) ×
300
+ ({i : ι // label i = none} → ℕ)) :=
301
+ (partitionEquiv label).trans (MeasurableEquiv.piOptionEquivProd
302
+ (fun c : Option κ => {i : ι // label i = c} → ℕ))
303
+ omit [DecidableEq ι] in
304
+
305
+ lemma measurePreserving_external (rate : ι → ℝ≥0) (label : ι → Option κ) :
306
+ MeasurePreserving (externalEquiv label) (batchMeasure rate)
307
+ ((Measure.pi (fun c : κ => batchMeasure
308
+ (fun i : {i : ι // label i = some c} => rate i))).prod
309
+ (batchMeasure (fun i : {i : ι // label i = none} => rate i))) := by
310
+ have h : MeasurePreserving
311
+ (MeasurableEquiv.piOptionEquivProd
312
+ (fun c : Option κ => {i : ι // label i = c} → ℕ)).symm
313
+ ((Measure.pi (fun c : κ => batchMeasure
314
+ (fun i : {i : ι // label i = some c} => rate i))).prod
315
+ (batchMeasure (fun i : {i : ι // label i = none} => rate i)))
316
+ (Measure.pi (fun c : Option κ => batchMeasure
317
+ (fun i : {i : ι // label i = c} => rate i))) :=
318
+ ⟨(MeasurableEquiv.piOptionEquivProd _).symm.measurable,
319
+ Measure.pi_map_piOptionEquivProd (fun c : Option κ =>
320
+ batchMeasure (fun i : {i : ι // label i = c} => rate i))⟩
321
+ exact h.symm.comp (measurePreserving_partition rate label)
322
+
323
+ omit [DecidableEq ι] in
324
+
325
+ lemma integral_external_components (rate : ι → ℝ≥0) (label : ι → Option κ)
326
+ (weight : ({i : ι // label i = none} → ℕ) → ℝ)
327
+ (f : ∀ c : κ, ({i : ι // label i = none} → ℕ) →
328
+ ({i : ι // label i = some c} → ℕ) → ℝ)
329
+ (hw : ∀ z, |weight z| ≤ 1) (hf : ∀ c z x, |f c z x| ≤ 1) :
330
+ (∫ ω, weight (fun i => ω i) * ∏ c, f c (fun i => ω i) (fun i => ω i)
331
+ ∂batchMeasure rate) =
332
+ ∫ z, weight z * ∏ c, ∫ x, f c z x
333
+ ∂batchMeasure (fun i : {i : ι // label i = some c} => rate i)
334
+ ∂batchMeasure (fun i : {i : ι // label i = none} => rate i) := by
335
+ let μ := Measure.pi (fun c : κ => batchMeasure
336
+ (fun i : {i : ι // label i = some c} => rate i))
337
+ let ν := batchMeasure (fun i : {i : ι // label i = none} => rate i)
338
+ let F : (∀ c : κ, {i : ι // label i = some c} → ℕ) ×
339
+ ({i : ι // label i = none} → ℕ) → ℝ :=
340
+ fun p => weight p.2 * ∏ c, f c p.2 (p.1 c)
341
+ have hF : Integrable F (μ.prod ν) := by
342
+ apply Integrable.of_bound (measurable_of_countable F).aestronglyMeasurable 1
343
+ apply Filter.Eventually.of_forall
344
+ intro p
345
+ simp only [F, Real.norm_eq_abs, abs_mul, Finset.abs_prod]
346
+ exact (mul_le_of_le_one_left (by positivity) (hw _)).trans
347
+ (Finset.prod_le_one₀ (fun _ _ => abs_nonneg _) (fun _ _ => hf _ _ _))
348
+ calc
349
+ _ = ∫ p, F p ∂μ.prod ν := (measurePreserving_external rate label).integral_comp
350
+ (externalEquiv label).measurableEmbedding F
351
+ _ = ∫ z, ∫ x, weight z * ∏ c, f c z (x c) ∂μ ∂ν :=
352
+ integral_prod_symm F hF
353
+ _ = _ := by
354
+ apply integral_congr_ae
355
+ apply Filter.Eventually.of_forall
356
+ intro z
357
+ dsimp only
358
+ rw [integral_const_mul]
359
+ congr 1
360
+ exact integral_fintype_prod_eq_prod _
361
+
362
+ section ComponentGeometry
363
+
364
+ variable {H : Type*} [Fintype H] [DecidableEq H]
365
+
366
+ noncomputable def strongGraph (rate : ι → ℝ≥0) (s : H → Finset ι) (t : ℝ) :
367
+ SimpleGraph H where
368
+ Adj h k := h ≠ k ∧ t < mass rate (s h ∩ s k)
369
+ symm := ⟨by
370
+ intro h k hk
371
+ exact ⟨hk.1.symm, by simpa only [Finset.inter_comm] using hk.2⟩⟩
372
+ loopless := ⟨by intro h hh; exact hh.1 rfl⟩
373
+
374
+ omit [Fintype ι] [Fintype H] [DecidableEq H] in
375
+ lemma cross_component_overlap (rate : ι → ℝ≥0) (s : H → Finset ι) (t : ℝ)
376
+ {h k : H} (hd : (strongGraph rate s t).connectedComponentMk h ≠
377
+ (strongGraph rate s t).connectedComponentMk k) :
378
+ mass rate (s h ∩ s k) ≤ t := by
379
+ by_contra hn
380
+ have hk : h ≠ k := by intro e; exact hd (congrArg _ e)
381
+ exact hd (SimpleGraph.ConnectedComponent.connectedComponentMk_eq_of_adj
382
+ (G := strongGraph rate s t) ⟨hk, lt_of_not_ge hn⟩)
383
+
384
+ def External (rate : ι → ℝ≥0) (s : H → Finset ι) (t : ℝ) (i : ι) : Prop :=
385
+ ∃ h k : H, i ∈ s h ∧ i ∈ s k ∧
386
+ (strongGraph rate s t).connectedComponentMk h ≠
387
+ (strongGraph rate s t).connectedComponentMk k
388
+
389
+ omit [Fintype ι] [Fintype H] [DecidableEq H] in
390
+ lemma external_iff_other (rate : ι → ℝ≥0) (s : H → Finset ι) (t : ℝ)
391
+ {h : H} {i : ι} (hi : i ∈ s h) :
392
+ External rate s t i ↔ ∃ k : H, i ∈ s k ∧
393
+ (strongGraph rate s t).connectedComponentMk h ≠
394
+ (strongGraph rate s t).connectedComponentMk k := by
395
+ classical
396
+ constructor
397
+ · rintro ⟨u, v, hu, hv, huv⟩
398
+ by_cases e : (strongGraph rate s t).connectedComponentMk h =
399
+ (strongGraph rate s t).connectedComponentMk u
400
+ · exact ⟨v, hv, by simpa only [e] using huv⟩
401
+ · exact ⟨u, hu, e⟩
402
+ · rintro ⟨k, hk, hd⟩
403
+ exact ⟨h, k, hi, hk, hd⟩
404
+
405
+ noncomputable def externalPart (rate : ι → ℝ≥0) (s : H → Finset ι)
406
+ (t : ℝ) (h : H) : Finset ι := by
407
+ classical
408
+ exact (s h).filter (External rate s t)
409
+
410
+ noncomputable def internalPart (rate : ι → ℝ≥0) (s : H → Finset ι)
411
+ (t : ℝ) (h : H) : Finset ι := by
412
+ classical
413
+ exact (s h).filter (fun i => ¬ External rate s t i)
414
+
415
+ omit [Fintype ι] [Fintype H] [DecidableEq H] in
416
+ lemma internal_external_mass (rate : ι → ℝ≥0) (s : H → Finset ι)
417
+ (t : ℝ) (h : H) :
418
+ mass rate (externalPart rate s t h) + mass rate (internalPart rate s t h) =
419
+ mass rate (s h) := by
420
+ classical
421
+ exact Finset.sum_filter_add_sum_filter_not _ _ _
422
+
423
+ noncomputable def otherComponents (rate : ι → ℝ≥0) (s : H → Finset ι)
424
+ (t : ℝ) (h : H) : Finset H := by
425
+ classical
426
+ exact Finset.univ.filter (fun k =>
427
+ (strongGraph rate s t).connectedComponentMk h ≠
428
+ (strongGraph rate s t).connectedComponentMk k)
429
+
430
+ omit [Fintype ι] [DecidableEq H] in
431
+
432
+ lemma external_mass_le_sum (rate : ι → ℝ≥0) (s : H → Finset ι)
433
+ (t : ℝ) (h : H) :
434
+ mass rate (externalPart rate s t h) ≤
435
+ ∑ k ∈ otherComponents rate s t h, mass rate (s h ∩ s k) := by
436
+ classical
437
+ let K := otherComponents rate s t h
438
+ have hp (i : ι) (hi : i ∈ s h) :
439
+ (if External rate s t i then (rate i : ℝ) else 0) ≤
440
+ ∑ k ∈ K, if i ∈ s k then (rate i : ℝ) else 0 := by
441
+ split_ifs with he
442
+ · obtain ⟨k, hk, hd⟩ := (external_iff_other rate s t hi).mp he
443
+ have hkK : k ∈ K := by
444
+ simpa only [K, otherComponents, Finset.mem_filter, Finset.mem_univ, true_and] using hd
445
+ simpa only [ite_eq_left hk] using
446
+ (Finset.single_le_sum (f := fun j : H => if i ∈ s j then (rate i : ℝ) else 0)
447
+ (fun j (_ : j ∈ K) => by split_ifs <;> positivity) hkK :
448
+ (if i ∈ s k then (rate i : ℝ) else 0) ≤
449
+ ∑ j ∈ K, if i ∈ s j then (rate i : ℝ) else 0)
450
+ · exact Finset.sum_nonneg (by intro k hk; split_ifs <;> positivity)
451
+ calc
452
+ _ = ∑ i ∈ s h, if External rate s t i then (rate i : ℝ) else 0 := by
453
+ simp only [externalPart, mass, Finset.sum_filter]
454
+ _ ≤ ∑ i ∈ s h, ∑ k ∈ K, if i ∈ s k then (rate i : ℝ) else 0 :=
455
+ Finset.sum_le_sum hp
456
+ _ = ∑ k ∈ K, mass rate (s h ∩ s k) := by
457
+ rw [Finset.sum_comm]
458
+ apply Finset.sum_congr rfl
459
+ intro k hk
460
+ rw [mass, ← Finset.filter_mem_eq_inter, Finset.sum_filter]
461
+ _ = _ := rfl
462
+
463
+ end ComponentGeometry
464
+ end SharpRamseyFive.PoissonScore
465
+ end
466
+
467
+ end OAI
lean/OAI/Combinatorics/SharpRamsey/Entropy/HighMoments.lean ADDED
@@ -0,0 +1,423 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ import Mathlib
2
+
3
+ namespace OAI
4
+
5
+ /-! High moments, finite-field subspaces, and incidence bounds. -/
6
+
7
+ section
8
+ open MeasureTheory ProbabilityTheory
9
+ open scoped BigOperators NNReal
10
+
11
+ namespace SharpRamseyFive.PoissonScore
12
+
13
+ variable {ι : Type*} [Fintype ι] [DecidableEq ι]
14
+
15
+ noncomputable def batchMeasure (rate : ι → ℝ≥0) : Measure (ι → ℕ) :=
16
+ Measure.pi (fun i => poissonMeasure (rate i))
17
+
18
+ instance flat_HighMomentRecovered_1 (rate : ι → ℝ≥0) : IsProbabilityMeasure (batchMeasure rate) := by
19
+ unfold batchMeasure
20
+ infer_instance
21
+
22
+ def emptyEvent (s : Finset ι) : Set (ι → ℕ) :=
23
+ (s : Set ι).pi (fun _ => {0})
24
+
25
+ noncomputable def emptyIndicator (s : Finset ι) (ω : ι → ℕ) : ℝ :=
26
+ (emptyEvent s).indicator (fun _ => 1) ω
27
+
28
+ noncomputable def mass (rate : ι → ℝ≥0) (s : Finset ι) : ℝ :=
29
+ ∑ i ∈ s, (rate i : ℝ)
30
+
31
+ omit [Fintype ι] [DecidableEq ι] in
32
+ lemma measurableSet_emptyEvent (s : Finset ι) : MeasurableSet (emptyEvent s) := by
33
+ exact MeasurableSet.pi (s.finite_toSet.countable) (fun _ _ => measurableSet_singleton 0)
34
+
35
+ omit [DecidableEq ι] in
36
+ lemma measure_emptyEvent (rate : ι → ℝ≥0) (s : Finset ι) :
37
+ batchMeasure rate (emptyEvent s) = ENNReal.ofReal (Real.exp (-mass rate s)) := by
38
+ rw [batchMeasure, emptyEvent, Measure.pi_pi_finset]
39
+ simp_rw [poissonMeasure_singleton, pow_zero, Nat.factorial_zero, Nat.cast_one,
40
+ mul_one, div_one]
41
+ rw [← ENNReal.ofReal_prod_of_nonneg (fun _ _ => (Real.exp_pos _).le),
42
+ ← Real.exp_sum, Finset.sum_neg_distrib]
43
+ rfl
44
+ omit [DecidableEq ι] in
45
+
46
+ lemma integral_emptyIndicator (rate : ι → ℝ≥0) (s : Finset ι) :
47
+ ∫ ω, emptyIndicator s ω ∂batchMeasure rate = Real.exp (-mass rate s) := by
48
+ simp only [emptyIndicator]
49
+ rw [integral_indicator_const _ (measurableSet_emptyEvent s),
50
+ Measure.real, measure_emptyEvent, ENNReal.toReal_ofReal (Real.exp_pos _).le]
51
+ simp
52
+ omit [DecidableEq ι] in
53
+
54
+ lemma integrable_emptyIndicator (rate : ι → ℝ≥0) (s : Finset ι) :
55
+ Integrable (emptyIndicator s) (batchMeasure rate) :=
56
+ (integrable_const (1 : ℝ)).indicator (measurableSet_emptyEvent s)
57
+
58
+ omit [Fintype ι] in
59
+ lemma emptyIndicator_mul (s t : Finset ι) (ω : ι → ℕ) :
60
+ emptyIndicator s ω * emptyIndicator t ω = emptyIndicator (s ∪ t) ω := by
61
+ have hu : emptyEvent (s ∪ t) = emptyEvent s ∩ emptyEvent t := by
62
+ ext x
63
+ simp [emptyEvent, Set.mem_pi, or_imp, forall_and]
64
+ rw [emptyIndicator, emptyIndicator, emptyIndicator, hu]
65
+ by_cases hs : ω ∈ emptyEvent s <;> by_cases ht : ω ∈ emptyEvent t <;>
66
+ simp [hs, ht]
67
+
68
+ omit [Fintype ι] in
69
+ lemma mass_union_inter (rate : ι → ℝ≥0) (s t : Finset ι) :
70
+ mass rate (s ∪ t) + mass rate (s ∩ t) = mass rate s + mass rate t := by
71
+ exact Finset.sum_union_inter
72
+
73
+ noncomputable def centeredFactor (s : Finset ι) (b : ℝ) (ω : ι → ℕ) : ℝ :=
74
+ emptyIndicator s ω - b
75
+ omit [DecidableEq ι] in
76
+
77
+ lemma integrable_centeredFactor (rate : ι → ℝ≥0) (s : Finset ι) (b : ℝ) :
78
+ Integrable (centeredFactor s b) (batchMeasure rate) :=
79
+ (integrable_emptyIndicator rate s).sub (integrable_const b)
80
+ omit [DecidableEq ι] in
81
+
82
+ lemma integral_centeredFactor (rate : ι → ℝ≥0) (s : Finset ι) (b : ℝ) :
83
+ ∫ ω, centeredFactor s b ω ∂batchMeasure rate = Real.exp (-mass rate s) - b := by
84
+ simp only [centeredFactor]
85
+ rw [integral_sub (integrable_emptyIndicator rate s)
86
+ (integrable_const b), integral_emptyIndicator]
87
+ simp
88
+
89
+ lemma integral_centeredFactor_mul (rate : ι → ℝ≥0) (s t : Finset ι) (b : ℝ) :
90
+ (∫ ω, centeredFactor s b ω * centeredFactor t b ω ∂batchMeasure rate) =
91
+ (Real.exp (-mass rate s) - b) * (Real.exp (-mass rate t) - b) +
92
+ Real.exp (-(mass rate s + mass rate t)) *
93
+ (Real.exp (mass rate (s ∩ t)) - 1) := by
94
+ have he : (fun ω => centeredFactor s b ω * centeredFactor t b ω) =
95
+ fun ω => emptyIndicator (s ∪ t) ω - b * emptyIndicator s ω -
96
+ b * emptyIndicator t ω + b ^ 2 := by
97
+ funext ω
98
+ rw [centeredFactor, centeredFactor]
99
+ have := emptyIndicator_mul s t ω
100
+ nlinarith [this]
101
+ rw [he]
102
+ have hs := integrable_emptyIndicator rate s
103
+ have ht := integrable_emptyIndicator rate t
104
+ have hu := integrable_emptyIndicator rate (s ∪ t)
105
+ have h1 := integral_sub hu (hs.const_mul b)
106
+ have h2 := integral_sub (hu.sub (hs.const_mul b)) (ht.const_mul b)
107
+ have h3 := integral_add ((hu.sub (hs.const_mul b)).sub (ht.const_mul b))
108
+ (integrable_const (b ^ 2))
109
+ simp only [Pi.sub_apply] at h1 h2 h3
110
+ rw [h3, h2, h1]
111
+ simp only [integral_const_mul, integral_emptyIndicator, integral_const,
112
+ probReal_univ, one_smul]
113
+ have hmass := mass_union_inter rate s t
114
+ have hu : Real.exp (-mass rate (s ∪ t)) =
115
+ Real.exp (-(mass rate s + mass rate t)) * Real.exp (mass rate (s ∩ t)) := by
116
+ rw [← Real.exp_add]
117
+ congr 1
118
+ linarith
119
+ have hp : Real.exp (-mass rate s) * Real.exp (-mass rate t) =
120
+ Real.exp (-(mass rate s + mass rate t)) := by
121
+ rw [← Real.exp_add]
122
+ congr 1
123
+ ring
124
+ rw [hu]
125
+ nlinarith [hp]
126
+
127
+ omit [Fintype ι] [DecidableEq ι] in
128
+ lemma emptyIndicator_nonneg (s : Finset ι) (ω : ι → ℕ) : 0 ≤ emptyIndicator s ω := by
129
+ unfold emptyIndicator
130
+ apply Set.indicator_nonneg
131
+ intro _ _
132
+ norm_num
133
+
134
+ omit [Fintype ι] [DecidableEq ι] in
135
+ lemma abs_centeredFactor_le_one (s : Finset ι) (b : ℝ) (hb : b ∈ Set.Icc 0 1)
136
+ (ω : ι → ℕ) : |centeredFactor s b ω| ≤ 1 := by
137
+ unfold centeredFactor emptyIndicator
138
+ by_cases h : ω ∈ emptyEvent s <;> simp [h, abs_le] <;> constructor <;> linarith [hb.1, hb.2]
139
+
140
+ omit [Fintype ι] [DecidableEq ι] in
141
+ lemma centeredFactor_of_hit (s : Finset ι) (b : ℝ) (ω : ι → ℕ)
142
+ {i : ι} (hi : i ∈ s) (hhit : ω i ≠ 0) : centeredFactor s b ω = -b := by
143
+ have h : ω ∉ emptyEvent s := by
144
+ intro he
145
+ exact hhit (he i hi)
146
+ simp [centeredFactor, emptyIndicator, h]
147
+ omit [DecidableEq ι] in
148
+
149
+ lemma integral_abs_centeredFactor_le (rate : ι → ℝ≥0) (s : Finset ι) (b : ℝ) :
150
+ (∫ ω, |centeredFactor s b ω| ∂batchMeasure rate) ≤ Real.exp (-mass rate s) + |b| := by
151
+ calc
152
+ _ ≤ ∫ ω, emptyIndicator s ω + |b| ∂batchMeasure rate := by
153
+ apply integral_mono (integrable_centeredFactor rate s b).abs
154
+ ((integrable_emptyIndicator rate s).add (integrable_const |b|))
155
+ intro ω
156
+ dsimp [centeredFactor]
157
+ exact (abs_sub _ _).trans (by rw [abs_of_nonneg (emptyIndicator_nonneg s ω)])
158
+ _ = _ := by
159
+ rw [integral_add (integrable_emptyIndicator rate s) (integrable_const |b|),
160
+ integral_emptyIndicator]
161
+ simp
162
+
163
+ lemma abs_exp_neg_sub_exp_neg_le {a b c : ℝ} (ha : c ≤ a) (hb : c ≤ b) :
164
+ |Real.exp (-a) - Real.exp (-b)| ≤ Real.exp (-c) * |a - b| := by
165
+ have ordered : ∀ {a b : ℝ}, c ≤ a → a ≤ b →
166
+ Real.exp (-a) - Real.exp (-b) ≤ Real.exp (-c) * (b - a) := by
167
+ intro a b hca hab
168
+ have he := Real.add_one_le_exp (a - b)
169
+ have hm := mul_le_mul_of_nonneg_left he (Real.exp_pos (-a)).le
170
+ have hprod : Real.exp (-a) * Real.exp (a - b) = Real.exp (-b) := by
171
+ rw [← Real.exp_add]
172
+ congr 1
173
+ ring
174
+ rw [hprod] at hm
175
+ have hec : Real.exp (-a) ≤ Real.exp (-c) := Real.exp_le_exp.mpr (neg_le_neg hca)
176
+ have hd := mul_le_mul_of_nonneg_right hec (sub_nonneg.mpr hab)
177
+ nlinarith
178
+ rcases le_total a b with hab | hba
179
+ · rw [abs_of_nonneg (sub_nonneg.mpr (Real.exp_le_exp.mpr (neg_le_neg hab))),
180
+ abs_of_nonpos (sub_nonpos.mpr hab)]
181
+ simpa only [neg_sub] using ordered ha hab
182
+ · rw [abs_of_nonpos (sub_nonpos.mpr (Real.exp_le_exp.mpr (neg_le_neg hba))),
183
+ abs_of_nonneg (sub_nonneg.mpr hba)]
184
+ simpa only [neg_sub] using ordered hb hba
185
+
186
+ omit [DecidableEq ι] in
187
+
188
+ lemma abs_integral_centeredFactor_le (rate : ι → ℝ≥0) (s : Finset ι)
189
+ {L lam base c : ℝ} (hL : 0 ≤ L) (hmass : mass rate s = L * lam)
190
+ (hlam : c ≤ lam) (hbase : c ≤ base) :
191
+ |∫ ω, centeredFactor s (Real.exp (-L * base)) ω ∂batchMeasure rate| ≤
192
+ L * Real.exp (-L * c) * |lam - base| := by
193
+ rw [integral_centeredFactor, hmass]
194
+ have he := abs_exp_neg_sub_exp_neg_le
195
+ (mul_le_mul_of_nonneg_left hlam hL) (mul_le_mul_of_nonneg_left hbase hL)
196
+ simpa only [neg_mul, mul_neg, ← mul_sub, abs_mul, abs_of_nonneg hL, mul_comm,
197
+ mul_left_comm, mul_assoc] using he
198
+
199
+ omit [DecidableEq ι] in
200
+
201
+ lemma integral_abs_centeredFactor_exp_le (rate : ι → ℝ≥0) (s : Finset ι)
202
+ {L lam base c : ℝ} (hL : 0 ≤ L) (hmass : mass rate s = L * lam)
203
+ (hlam : c ≤ lam) (hbase : c ≤ base) :
204
+ (∫ ω, |centeredFactor s (Real.exp (-L * base)) ω| ∂batchMeasure rate) ≤
205
+ 2 * Real.exp (-L * c) := by
206
+ have h1 := integral_abs_centeredFactor_le rate s (Real.exp (-L * base))
207
+ rw [hmass, abs_of_pos (Real.exp_pos _)] at h1
208
+ have h2 : Real.exp (-(L * lam)) ≤ Real.exp (-L * c) :=
209
+ Real.exp_le_exp.mpr (by nlinarith)
210
+ have h3 : Real.exp (-L * base) ≤ Real.exp (-L * c) :=
211
+ Real.exp_le_exp.mpr (by nlinarith)
212
+ linarith
213
+
214
+ lemma integrable_centeredFactor_mul (rate : ι → ℝ≥0) (s t : Finset ι) (b : ℝ) :
215
+ Integrable (fun ω => centeredFactor s b ω * centeredFactor t b ω) (batchMeasure rate) := by
216
+ have he : (fun ω => centeredFactor s b ω * centeredFactor t b ω) =
217
+ fun ω => emptyIndicator (s ∪ t) ω - b * emptyIndicator s ω -
218
+ b * emptyIndicator t ω + b ^ 2 := by
219
+ funext ω
220
+ rw [centeredFactor, centeredFactor]
221
+ nlinarith [emptyIndicator_mul s t ω]
222
+ rw [he]
223
+ exact (((integrable_emptyIndicator rate (s ∪ t)).sub
224
+ ((integrable_emptyIndicator rate s).const_mul b)).sub
225
+ ((integrable_emptyIndicator rate t).const_mul b)).add (integrable_const (b^2))
226
+
227
+ omit [Fintype ι] [DecidableEq ι] in
228
+ lemma mass_nonneg (rate : ι → ℝ≥0) (s : Finset ι) : 0 ≤ mass rate s := by
229
+ exact Finset.sum_nonneg (fun i _ => (rate i).coe_nonneg)
230
+
231
+ omit [Fintype ι] [DecidableEq ι] in
232
+ lemma mass_mono (rate : ι → ℝ≥0) {s t : Finset ι} (hst : s ⊆ t) :
233
+ mass rate s ≤ mass rate t := by
234
+ exact Finset.sum_le_sum_of_subset_of_nonneg hst (fun i _ _ => (rate i).coe_nonneg)
235
+
236
+ lemma one_sub_exp_neg_le (a : ℝ) : 1 - Real.exp (-a) ≤ a := by
237
+ have := Real.add_one_le_exp (-a)
238
+ linarith
239
+
240
+ omit [Fintype ι] in
241
+
242
+ lemma covariance_le (rate : ι → ℝ≥0) (s t : Finset ι) :
243
+ Real.exp (-(mass rate s + mass rate t)) *
244
+ (Real.exp (mass rate (s ∩ t)) - 1) ≤
245
+ mass rate (s ∩ t) * Real.exp (-mass rate (s ∪ t)) := by
246
+ have hu := mass_union_inter rate s t
247
+ have he : Real.exp (-(mass rate s + mass rate t)) =
248
+ Real.exp (-mass rate (s ∪ t)) * Real.exp (-mass rate (s ∩ t)) := by
249
+ rw [← Real.exp_add]
250
+ congr 1
251
+ linarith
252
+ rw [he]
253
+ have hh : Real.exp (-mass rate (s ∩ t)) * Real.exp (mass rate (s ∩ t)) = 1 := by
254
+ rw [← Real.exp_add]
255
+ simp
256
+ have hb := mul_le_mul_of_nonneg_left (one_sub_exp_neg_le (mass rate (s ∩ t)))
257
+ (Real.exp_pos (-mass rate (s ∪ t))).le
258
+ calc
259
+ _ = Real.exp (-mass rate (s ∪ t)) * (1 - Real.exp (-mass rate (s ∩ t))) := by
260
+ rw [mul_assoc, mul_sub, hh, mul_one]
261
+ _ ≤ _ := by simpa only [mul_comm] using hb
262
+ omit [Fintype ι] in
263
+
264
+ lemma covariance_nonneg (rate : ι → ℝ≥0) (s t : Finset ι) :
265
+ 0 ≤ Real.exp (-(mass rate s + mass rate t)) *
266
+ (Real.exp (mass rate (s ∩ t)) - 1) := by
267
+ apply mul_nonneg (Real.exp_pos _).le
268
+ exact sub_nonneg.mpr (Real.one_le_exp_iff.mpr (mass_nonneg rate _))
269
+
270
+ lemma abs_integral_centeredFactor_mul_le_mass (rate : ι → ℝ≥0)
271
+ (s t : Finset ι) (b : ℝ) :
272
+ |∫ ω, centeredFactor s b ω * centeredFactor t b ω ∂batchMeasure rate| ≤
273
+ |Real.exp (-mass rate s) - b| * |Real.exp (-mass rate t) - b| +
274
+ mass rate (s ∩ t) * Real.exp (-mass rate (s ∪ t)) := by
275
+ rw [integral_centeredFactor_mul]
276
+ calc
277
+ _ ≤ |(Real.exp (-mass rate s) - b) * (Real.exp (-mass rate t) - b)| +
278
+ |Real.exp (-(mass rate s + mass rate t)) *
279
+ (Real.exp (mass rate (s ∩ t)) - 1)| := abs_add_le _ _
280
+ _ ≤ _ := by
281
+ rw [abs_mul, abs_of_nonneg (covariance_nonneg rate s t)]
282
+ exact add_le_add le_rfl (covariance_le rate s t)
283
+
284
+ lemma abs_integral_centeredFactor_mul_exp_le (rate : ι → ℝ≥0)
285
+ (s t : Finset ι) {L lam₁ lam₂ base c θ : ℝ}
286
+ (hL : 1 ≤ L) (hc : 0 ≤ c)
287
+ (hs : mass rate s = L * lam₁) (ht : mass rate t = L * lam₂)
288
+ (hi : mass rate (s ∩ t) = L * θ)
289
+ (h₁ : c ≤ lam₁) (h₂ : c ≤ lam₂) (hbase : c ≤ base) :
290
+ |∫ ω, centeredFactor s (Real.exp (-L * base)) ω *
291
+ centeredFactor t (Real.exp (-L * base)) ω ∂batchMeasure rate| ≤
292
+ L ^ 2 * Real.exp (-L * c) * (|lam₁ - base| * |lam₂ - base| + θ) := by
293
+ have hL0 : 0 ≤ L := le_trans (by norm_num) hL
294
+ have hi0 := mass_nonneg rate (s ∩ t)
295
+ have hθ : 0 ≤ θ := by rw [hi] at hi0; nlinarith
296
+ have hu : L * c ≤ mass rate (s ∪ t) := by
297
+ calc
298
+ _ ≤ L * lam₁ := mul_le_mul_of_nonneg_left h₁ hL0
299
+ _ = mass rate s := hs.symm
300
+ _ ≤ mass rate (s ∪ t) := mass_mono rate Finset.subset_union_left
301
+ have huse : Real.exp (-mass rate (s ∪ t)) ≤ Real.exp (-L * c) :=
302
+ Real.exp_le_exp.mpr (by linarith)
303
+ have hepos := Real.exp_pos (-L * c)
304
+ have hele : Real.exp (-L * c) ≤ 1 := Real.exp_le_one_iff.mpr (by nlinarith)
305
+ have e₁ := abs_integral_centeredFactor_le rate s hL0 hs h₁ hbase
306
+ have e₂ := abs_integral_centeredFactor_le rate t hL0 ht h₂ hbase
307
+ rw [integral_centeredFactor] at e₁ e₂
308
+ have hmul := mul_le_mul e₁ e₂ (abs_nonneg _)
309
+ (mul_nonneg (mul_nonneg hL0 hepos.le) (abs_nonneg _))
310
+ have hab := mul_nonneg (abs_nonneg (lam₁ - base)) (abs_nonneg (lam₂ - base))
311
+ have hpow : Real.exp (-L * c) ^ 2 ≤ Real.exp (-L * c) := by nlinarith
312
+ have hbound := mul_le_mul_of_nonneg_left hpow
313
+ (mul_nonneg (sq_nonneg L) hab)
314
+ have hcov := mul_le_mul_of_nonneg_left huse hi0
315
+ rw [hi] at hcov
316
+ have hLsq : L ≤ L ^ 2 := by nlinarith
317
+ have hcov' := mul_le_mul_of_nonneg_right hLsq (mul_nonneg hθ hepos.le)
318
+ have hfinal := abs_integral_centeredFactor_mul_le_mass rate s t (Real.exp (-L * base))
319
+ nlinarith
320
+
321
+ noncomputable def scheduleMeasure (rate : ι → ℝ≥0) (R : ℕ) :
322
+ Measure (Fin R → ι → ℕ) :=
323
+ Measure.pi (fun _ : Fin R => batchMeasure rate)
324
+
325
+ instance flat_HighMomentRecovered_2 (rate : ι → ℝ≥0) (R : ℕ) : IsProbabilityMeasure (scheduleMeasure rate R) := by
326
+ unfold scheduleMeasure
327
+ infer_instance
328
+
329
+ noncomputable def scoreTerm {R : ℕ} (s : Finset ι) (b : ℝ) (own : Fin R → Bool)
330
+ (ω : Fin R → ι → ℕ) : ℝ :=
331
+ ∏ r, if own r then centeredFactor s b (ω r) else 0
332
+ omit [DecidableEq ι] in
333
+
334
+ lemma integrable_scoreTerm (rate : ι → ℝ≥0) {R : ℕ} (s : Finset ι) (b : ℝ)
335
+ (own : Fin R → Bool) : Integrable (scoreTerm s b own) (scheduleMeasure rate R) := by
336
+ apply Integrable.fintype_prod (f := fun r ω => if own r then centeredFactor s b ω else 0)
337
+ intro r
338
+ cases h : own r <;> simp only [Bool.false_eq_true, ↓reduceIte]
339
+ · exact integrable_const 0
340
+ · exact integrable_centeredFactor rate s b
341
+ omit [DecidableEq ι] in
342
+
343
+ lemma integral_scoreTerm (rate : ι → ℝ≥0) {R : ℕ} (s : Finset ι) (b : ℝ)
344
+ (own : Fin R → Bool) :
345
+ (∫ ω, scoreTerm s b own ω ∂scheduleMeasure rate R) =
346
+ ∏ r, if own r then Real.exp (-mass rate s) - b else 0 := by
347
+ unfold scoreTerm scheduleMeasure
348
+ rw [integral_fintype_prod_eq_prod (f := fun r ω => if own r then centeredFactor s b ω else 0)]
349
+ congr 1
350
+ funext r
351
+ cases h : own r <;> simp [integral_centeredFactor]
352
+
353
+ noncomputable def pairMean (rate : ι → ℝ≥0) (s t : Finset ι) (b : ℝ) : ℝ :=
354
+ (Real.exp (-mass rate s) - b) * (Real.exp (-mass rate t) - b) +
355
+ Real.exp (-(mass rate s + mass rate t)) *
356
+ (Real.exp (mass rate (s ∩ t)) - 1)
357
+
358
+ lemma integrable_scoreTerm_mul (rate : ι → ℝ≥0) {R : ℕ} (s t : Finset ι) (b : ℝ)
359
+ (ownS ownT : Fin R → Bool) :
360
+ Integrable (fun ω => scoreTerm s b ownS ω * scoreTerm t b ownT ω)
361
+ (scheduleMeasure rate R) := by
362
+ simp only [scoreTerm, ← Finset.prod_mul_distrib]
363
+ apply Integrable.fintype_prod (f := fun r ω => (if ownS r then centeredFactor s b ω else 0) * (if ownT r then centeredFactor t b ω else 0))
364
+ intro r
365
+ cases hs : ownS r <;> cases ht : ownT r <;>
366
+ simp only [Bool.false_eq_true, ↓reduceIte, zero_mul, mul_zero]
367
+ · exact integrable_const 0
368
+ · exact integrable_const 0
369
+ · exact integrable_const 0
370
+ · exact integrable_centeredFactor_mul rate s t b
371
+
372
+ lemma integral_scoreTerm_mul (rate : ι → ℝ≥0) {R : ℕ} (s t : Finset ι) (b : ℝ)
373
+ (ownS ownT : Fin R → Bool) :
374
+ (∫ ω, scoreTerm s b ownS ω * scoreTerm t b ownT ω ∂scheduleMeasure rate R) =
375
+ ∏ r, if ownS r && ownT r then pairMean rate s t b else 0 := by
376
+ simp only [scoreTerm, ← Finset.prod_mul_distrib, scheduleMeasure]
377
+ rw [integral_fintype_prod_eq_prod (f := fun r ω => (if ownS r then centeredFactor s b ω else 0) * (if ownT r then centeredFactor t b ω else 0))]
378
+ congr 1
379
+ funext r
380
+ cases hs : ownS r <;> cases ht : ownT r <;>
381
+ simp [integral_centeredFactor_mul, pairMean]
382
+
383
+ lemma abs_integral_scoreTerm_mul_le (rate : ι → ℝ≥0) {R : ℕ} (s t : Finset ι) (b : ℝ)
384
+ (ownS ownT : Fin R → Bool) :
385
+ |∫ ω, scoreTerm s b ownS ω * scoreTerm t b ownT ω ∂scheduleMeasure rate R| ≤
386
+ |pairMean rate s t b| ^ R := by
387
+ rw [integral_scoreTerm_mul, Finset.abs_prod]
388
+ calc
389
+ _ ≤ ∏ _ : Fin R, |pairMean rate s t b| := by
390
+ apply Finset.prod_le_prod₀ (fun _ _ => abs_nonneg _)
391
+ intro r _
392
+ split_ifs <;> simp
393
+ _ = _ := by simp
394
+
395
+ variable {κ : Type*}
396
+
397
+ noncomputable def typicalScore {R : ℕ} (H : Finset κ) (directions : κ → Finset ι)
398
+ (b : ℝ) (own : κ → Fin R → Bool) (ω : Fin R → ι → ℕ) : ℝ :=
399
+ ∑ h ∈ H, scoreTerm (directions h) b (own h) ω
400
+
401
+ lemma integral_typicalScore_sq (rate : ι → ℝ≥0) {R : ℕ} (H : Finset κ)
402
+ (directions : κ → Finset ι) (b : ℝ) (own : κ → Fin R → Bool) :
403
+ (∫ ω, (typicalScore H directions b own ω)^2 ∂scheduleMeasure rate R) =
404
+ ∑ h ∈ H, ∑ k ∈ H,
405
+ ∏ r, if own h r && own k r then pairMean rate (directions h) (directions k) b else 0 := by
406
+ simp only [typicalScore, pow_two]
407
+ simp_rw [Finset.sum_mul]
408
+ simp_rw [Finset.mul_sum]
409
+ rw [integral_finsetSum H (fun h _ =>
410
+ integrable_finsetSum H (fun k _ =>
411
+ integrable_scoreTerm_mul rate (directions h) (directions k) b (own h) (own k)))]
412
+ apply Finset.sum_congr rfl
413
+ intro h _
414
+ rw [integral_finsetSum H (fun k _ =>
415
+ integrable_scoreTerm_mul rate (directions h) (directions k) b (own h) (own k))]
416
+ apply Finset.sum_congr rfl
417
+ intro k _
418
+ exact integral_scoreTerm_mul rate (directions h) (directions k) b (own h) (own k)
419
+
420
+ end SharpRamseyFive.PoissonScore
421
+ end
422
+
423
+ end OAI
lean/OAI/Combinatorics/SharpRamsey/Entropy/HighRankEntropy.lean ADDED
@@ -0,0 +1,63 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ import Mathlib
2
+ import OAI.Combinatorics.SharpRamsey.Marking.HighRankContext
3
+
4
+ namespace OAI
5
+
6
+ section
7
+ namespace SharpLogRamsey.ActualHighRank
8
+ open Finset Real Selection
9
+ open scoped Classical BigOperators
10
+ noncomputable section
11
+ variable {K V Ω : Type*} [Field K] [Finite K] [AddCommGroup V] [Module K V]
12
+ [FiniteDimensional K V] [Fintype Ω]
13
+ [Fintype (Projectivization K V)] [Fintype (Projectivization K (Module.Dual K V))]
14
+
15
+ omit [FiniteDimensional K V]
16
+ [Fintype (Projectivization K (Module.Dual K V))] in
17
+ lemma projective_card_bound {d : ℕ} (hdim : Module.finrank K V=d+1) :
18
+ (Fintype.card (Projectivization K V):ℝ)≤2*(Nat.card K:ℝ)^d := by
19
+ rw [←Nat.card_eq_fintype_card,Projectivization.card_of_finrank K V hdim,Nat.cast_sum]
20
+ simp only [Nat.cast_pow]
21
+ exact HighRankExcess.geom_sum_le_twice (by exact_mod_cast (Finite.one_lt_card : 1<Nat.card K)) d
22
+
23
+ omit [FiniteDimensional K V]
24
+ [Fintype (Projectivization K (Module.Dual K V))] in
25
+ lemma projective_card_positive {d : ℕ} (hdim : Module.finrank K V=d+1) :
26
+ (0:ℝ)<Fintype.card (Projectivization K V) := by
27
+ rw [←Nat.card_eq_fintype_card,Projectivization.card_of_finrank K V hdim,Nat.cast_sum]
28
+ apply lt_of_lt_of_le (by norm_num : (0:ℝ)<(Nat.card K^0:ℕ))
29
+ exact single_le_sum (fun i _=>Nat.cast_nonneg _) (mem_range.mpr (by omega))
30
+
31
+ omit [FiniteDimensional K V] in
32
+ lemma flag_card_log {d : ℕ} (hdim : Module.finrank K V=d+1) :
33
+ log (Fintype.card (Projectivization K (Module.Dual K V)×Projectivization K V))≤
34
+ 2*(log 2+(d:ℝ)*log (Nat.card K)) := by
35
+ have hdual : Module.finrank K (Module.Dual K V)=d+1 := by rw [Subspace.dual_finrank_eq,hdim]
36
+ have ha:=projective_card_bound hdual
37
+ have hb:=projective_card_bound hdim
38
+ have hap:=projective_card_positive hdual
39
+ have hbp:=projective_card_positive hdim
40
+ have hq : (0:ℝ)<Nat.card K := by exact_mod_cast Finite.card_pos
41
+ simp only [Fintype.card_prod,Nat.cast_mul]
42
+ apply (log_le_log (mul_pos hap hbp)
43
+ (mul_le_mul ha hb hbp.le (by positivity))).trans
44
+ rw [←pow_two,log_pow,log_mul (by norm_num) (pow_ne_zero _ hq.ne'),log_pow]
45
+ rfl
46
+
47
+ omit [FiniteDimensional K V] in
48
+ theorem raw_entropy {d h : ℕ} (hdim : Module.finrank K V=d+1)
49
+ (p : Law Ω)
50
+ (code : Ω→(Fin h→Projectivization K (Module.Dual K V)×Projectivization K V)×
51
+ (Fin h→Projectivization K (Module.Dual K V)×Projectivization K V)) :
52
+ entropy (p.map code)≤4*(h:ℝ)*(log 2+(d:ℝ)*log (Nat.card K)) := by
53
+ apply (raw_rows_entropy h p code).trans
54
+ have hh:=mul_le_mul_of_nonneg_left (flag_card_log hdim) (by positivity : 0≤2*(h:ℝ))
55
+ convert hh using 1
56
+ ring
57
+
58
+ end
59
+ end SharpLogRamsey.ActualHighRank
60
+
61
+ end
62
+
63
+ end OAI
lean/OAI/Combinatorics/SharpRamsey/Entropy/InformationScales.lean ADDED
@@ -0,0 +1,30 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ import Mathlib
2
+ import OAI.Combinatorics.SharpRamsey.Parameters.ExposureScales
3
+
4
+ namespace OAI
5
+
6
+ section
7
+ namespace SharpLogRamsey.SourceScales
8
+ open Real Filter
9
+ open scoped Topology
10
+ noncomputable section
11
+
12
+ theorem eventually_information_bad_small (η C c ε : ℝ)
13
+ (hη : 0<η) (hC : 0≤C) (hc : 0<c) (hε : 0<ε) :
14
+ ∀ᶠ σ : ℝ in atTop, ∀ q D N budget k : ℝ,
15
+ 0<q → 0<D → 0≤N → budget≤C*N*D*σ^(-beta η) →
16
+ c*q*D*σ^(3000*beta η)≤k →
17
+ let a:=σ^(-2000*beta η)/q
18
+ budget/(D*σ^beta η)+2*budget/(k*a)≤N*ε := by
19
+ filter_upwards [eventually_integer_bad_small η C c ε hη hC hc hε,
20
+ eventually_ge_atTop (0:ℝ)] with σ h hσ
21
+ intro q D N budget k hq hD hN hb hk
22
+ have hh:=h q D N budget 0 (c*q*σ^(1+η/2)) k hq hD hN hb
23
+ (mul_nonneg hC hσ) hk le_rfl
24
+ simpa only [mul_zero,zero_div,add_zero] using hh
25
+ end
26
+ end SharpLogRamsey.SourceScales
27
+
28
+ end
29
+
30
+ end OAI
lean/OAI/Combinatorics/SharpRamsey/Entropy/IntegralTypicalScoreSq.lean ADDED
@@ -0,0 +1,450 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ import Mathlib
2
+ import OAI.Combinatorics.SharpRamsey.Entropy.HighMoments
3
+
4
+ namespace OAI
5
+
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+ /-! High moments, finite-field subspaces, and incidence bounds. -/
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+
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+ section
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+ open MeasureTheory ProbabilityTheory
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+ open scoped BigOperators NNReal
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+ namespace SharpRamseyFive.PoissonScore
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+ variable {ι : Type*} [Fintype ι] [DecidableEq ι]
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+ variable {κ : Type*}
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+ lemma integral_typicalScore_sq_le (rate : ι → ℝ≥0) {R : ℕ} (H : Finset κ)
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+ (directions : κ → Finset ι) (b : ℝ) (own : κ → Fin R → Bool) :
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+ (∫ ω, (typicalScore H directions b own ω)^2 ∂scheduleMeasure rate R) ≤
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+ ∑ h ∈ H, ∑ k ∈ H, |pairMean rate (directions h) (directions k) b|^R := by
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+ rw [integral_typicalScore_sq]
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+ apply Finset.sum_le_sum
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+ intro h _
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+ apply Finset.sum_le_sum
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+ intro k _
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+ rw [← integral_scoreTerm_mul]
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+ exact (le_abs_self _).trans
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+ (abs_integral_scoreTerm_mul_le rate (directions h) (directions k) b (own h) (own k))
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+
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+ section TupleCalculation
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+
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+ variable {ν : Type*} [DecidableEq ν]
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+ omit [Fintype ι] in
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+
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+ lemma prod_emptyIndicator (I : Finset ν) (directions : ν → Finset ι) (ω : ι → ℕ) :
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+ (∏ h ∈ I, emptyIndicator (directions h) ω) =
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+ emptyIndicator (I.biUnion directions) ω := by
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+ induction I using Finset.induction_on with
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+ | empty => simp [emptyIndicator, emptyEvent]
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+ | @insert h I hh ih =>
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+ rw [Finset.prod_insert hh, Finset.biUnion_insert, ih, emptyIndicator_mul]
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+ omit [Fintype ι] in
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+
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+ lemma prod_centeredFactor (I : Finset ν) (directions : ν → Finset ι) (b : ℝ)
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+ (ω : ι → ℕ) :
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+ (∏ h ∈ I, centeredFactor (directions h) b ω) =
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+ ∑ J ∈ I.powerset, (-b) ^ (I \ J).card * emptyIndicator (J.biUnion directions) ω := by
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+ simp only [centeredFactor, sub_eq_add_neg]
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+ rw [Finset.prod_add]
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+ apply Finset.sum_congr rfl
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+ intro J _
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+ rw [prod_emptyIndicator, Finset.prod_const]
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+ ring
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+
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+ lemma integrable_prod_centeredFactor (rate : ι → ℝ≥0) (I : Finset ν)
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+ (directions : ν → Finset ι) (b : ℝ) :
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+ Integrable (fun ω => ∏ h ∈ I, centeredFactor (directions h) b ω) (batchMeasure rate) := by
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+ simp_rw [prod_centeredFactor]
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+ exact integrable_finsetSum _ (fun J _ =>
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+ (integrable_emptyIndicator rate _).const_mul _)
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+
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+ noncomputable def tupleMean (rate : ι → ℝ≥0) (I : Finset ν)
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+ (directions : ν → Finset ι) (b : ℝ) : ℝ :=
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+ ∑ J ∈ I.powerset, (-b) ^ (I \ J).card * Real.exp (-mass rate (J.biUnion directions))
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+
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+ lemma integral_prod_centeredFactor (rate : ι → ℝ≥0) (I : Finset ν)
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+ (directions : ν → Finset ι) (b : ℝ) :
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+ (∫ ω, ∏ h ∈ I, centeredFactor (directions h) b ω ∂batchMeasure rate) =
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+ tupleMean rate I directions b := by
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+ simp_rw [prod_centeredFactor]
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+ rw [integral_finsetSum _ (fun J _ =>
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+ (integrable_emptyIndicator rate _).const_mul _)]
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+ simp only [integral_const_mul, integral_emptyIndicator, tupleMean]
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+
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+ omit [Fintype ι] [DecidableEq ι] [DecidableEq ν] in
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+ lemma prod_scoreTerm (I : Finset ν) (directions : ν → Finset ι) (b : ℝ)
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+ {R : ℕ} (own : ν → Fin R → Bool) (ω : Fin R → ι → ℕ) :
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+ (∏ h ∈ I, scoreTerm (directions h) b (own h) ω) =
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+ ∏ r, if ∀ h ∈ I, own h r then ∏ h ∈ I, centeredFactor (directions h) b (ω r) else 0 := by
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+ simp only [scoreTerm]
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+ rw [Finset.prod_comm]
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+ apply Finset.prod_congr rfl
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+ intro r _
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+ exact Finset.prod_ite_zero
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+
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+ lemma integrable_prod_scoreTerm (rate : ι → ℝ≥0) (I : Finset ν)
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+ (directions : ν → Finset ι) (b : ℝ) {R : ℕ} (own : ν → Fin R → Bool) :
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+ Integrable (fun ω => ∏ h ∈ I, scoreTerm (directions h) b (own h) ω)
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+ (scheduleMeasure rate R) := by
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+ simp_rw [prod_scoreTerm]
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+ apply Integrable.fintype_prod (f := fun r ω => if ∀ h ∈ I, own h r then
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+ ∏ h ∈ I, centeredFactor (directions h) b ω else 0)
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+ intro r
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+ split_ifs
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+ · exact integrable_prod_centeredFactor rate I directions b
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+ · exact integrable_const 0
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+
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+ lemma integral_prod_scoreTerm (rate : ι → ℝ≥0) (I : Finset ν)
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+ (directions : ν → Finset ι) (b : ℝ) {R : ℕ} (own : ν → Fin R → Bool) :
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+ (∫ ω, ∏ h ∈ I, scoreTerm (directions h) b (own h) ω ∂scheduleMeasure rate R) =
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+ ∏ r, if ∀ h ∈ I, own h r then tupleMean rate I directions b else 0 := by
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+ simp_rw [prod_scoreTerm]
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+ unfold scheduleMeasure
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+ rw [integral_fintype_prod_eq_prod (f := fun r ω => if ∀ h ∈ I, own h r then
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+ ∏ h ∈ I, centeredFactor (directions h) b ω else 0)]
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+ apply Finset.prod_congr rfl
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+ intro r _
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+ split_ifs <;> simp [integral_prod_centeredFactor]
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+
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+ lemma abs_integral_prod_scoreTerm_le (rate : ι → ℝ≥0) (I : Finset ν)
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+ (directions : ν → Finset ι) (b : ℝ) {R : ℕ} (own : ν → Fin R → Bool) :
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+ |∫ ω, ∏ h ∈ I, scoreTerm (directions h) b (own h) ω ∂scheduleMeasure rate R| ≤
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+ |tupleMean rate I directions b| ^ R := by
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+ rw [integral_prod_scoreTerm, Finset.abs_prod]
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+ calc
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+ _ ≤ ∏ _ : Fin R, |tupleMean rate I directions b| := by
114
+ apply Finset.prod_le_prod₀ (fun _ _ => abs_nonneg _)
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+ intro r _
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+ split_ifs <;> simp
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+ _ = _ := by simp
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+
119
+ end TupleCalculation
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+
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+ lemma integral_typicalScore_pow (rate : ι → ℝ≥0) {R : ℕ} (H : Finset κ)
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+ (directions : κ → Finset ι) (b : ℝ) (own : κ → Fin R → Bool) (p : ℕ) :
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+ (∫ ω, (typicalScore H directions b own ω)^p ∂scheduleMeasure rate R) =
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+ ∑ hs ∈ Fintype.piFinset (fun _ : Fin p => H),
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+ ∏ r, if ∀ i : Fin p, own (hs i) r then
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+ tupleMean rate Finset.univ (fun i => directions (hs i)) b else 0 := by
127
+ classical
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+ simp only [typicalScore]
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+ simp_rw [Finset.sum_pow']
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+ rw [integral_finsetSum _ (fun hs _ =>
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+ integrable_prod_scoreTerm rate Finset.univ (fun i => directions (hs i)) b (fun i => own (hs i)))]
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+ apply Finset.sum_congr rfl
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+ intro hs _
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+ simpa using integral_prod_scoreTerm rate Finset.univ (fun i => directions (hs i)) b (fun i => own (hs i))
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+
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+ noncomputable def maskedFactor (s : Finset ι) (b : ℝ) (own touched : Bool)
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+ (ω : ι → ℕ) : ℝ :=
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+ if own then (if touched then -b else centeredFactor s b ω) else 0
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+
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+ noncomputable def maskedTerm {R : ℕ} (s : Finset ι) (b : ℝ)
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+ (own touched : Fin R → Bool) (ω : Fin R → ι → ℕ) : ℝ :=
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+ ∏ r, maskedFactor s b (own r) (touched r) (ω r)
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+ omit [Fintype ι] [DecidableEq ι] in
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+
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+ lemma abs_maskedFactor_le_one (s : Finset ι) {b : ℝ} (hb : b ∈ Set.Icc 0 1)
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+ (own touched : Bool) (ω : ι → ℕ) : |maskedFactor s b own touched ω| ≤ 1 := by
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+ cases own <;> cases touched <;> simp [maskedFactor, abs_centeredFactor_le_one s b hb ω,
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+ abs_of_nonneg hb.1, hb.2]
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+ omit [Fintype ι] [DecidableEq ι] in
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+
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+ lemma abs_maskedTerm_le_one {R : ℕ} (s : Finset ι) {b : ℝ} (hb : b ∈ Set.Icc 0 1)
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+ (own touched : Fin R → Bool) (ω : Fin R → ι → ℕ) :
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+ |maskedTerm s b own touched ω| ≤ 1 := by
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+ rw [maskedTerm, Finset.abs_prod]
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+ exact Finset.prod_le_one₀ (fun _ _ => abs_nonneg _) (fun _ _ => abs_maskedFactor_le_one s hb _ _ _)
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+
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+ omit [DecidableEq ι] in
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+ lemma integrable_schedule_of_abs_le (rate : ι → ℝ≥0) {R : ℕ}
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+ (f : (Fin R → ι → ℕ) → ℝ) (C : ℝ) (h : ∀ ω, |f ω| ≤ C) :
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+ Integrable f (scheduleMeasure rate R) := by
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+ apply Integrable.of_bound (measurable_of_countable f).aestronglyMeasurable C
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+ exact Filter.Eventually.of_forall (fun ω => by simpa only [Real.norm_eq_abs] using h ω)
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+ omit [DecidableEq ι] in
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+
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+ lemma integrable_maskedFactor (rate : ι → ℝ≥0) (s : Finset ι) (b : ℝ)
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+ (own touched : Bool) : Integrable (maskedFactor s b own touched) (batchMeasure rate) := by
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+ cases own <;> cases touched
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+ · exact integrable_const 0
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+ · exact integrable_const 0
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+ · exact integrable_centeredFactor rate s b
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+ · exact integrable_const (-b)
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+ omit [DecidableEq ι] in
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+
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+ lemma integral_maskedFactor (rate : ι → ℝ≥0) (s : Finset ι) (b : ℝ)
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+ (own touched : Bool) :
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+ (∫ ω, maskedFactor s b own touched ω ∂batchMeasure rate) =
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+ if own then (if touched then -b else Real.exp (-mass rate s) - b) else 0 := by
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+ cases own <;> cases touched <;> simp [maskedFactor, integral_centeredFactor]
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+ omit [DecidableEq ι] in
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+
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+ lemma integral_maskedTerm (rate : ι → ℝ≥0) {R : ℕ} (s : Finset ι) (b : ℝ)
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+ (own touched : Fin R → Bool) :
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+ (∫ ω, maskedTerm s b own touched ω ∂scheduleMeasure rate R) =
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+ ∏ r, if own r then (if touched r then -b else Real.exp (-mass rate s) - b) else 0 := by
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+ unfold maskedTerm scheduleMeasure
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+ rw [integral_fintype_prod_eq_prod]
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+ simp only [integral_maskedFactor]
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+ omit [DecidableEq ι] in
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+
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+ lemma integral_abs_maskedFactor_exp_le (rate : ι → ℝ≥0) (s : Finset ι)
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+ (own touched : Bool) {L lam base c : ℝ} (hL : 0 ≤ L)
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+ (hmass : mass rate s = L * lam) (hlam : c ≤ lam) (hbase : c ≤ base) :
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+ (∫ ω, |maskedFactor s (Real.exp (-L * base)) own touched ω| ∂batchMeasure rate) ≤
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+ 2 * Real.exp (-L * c) := by
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+ have he := Real.exp_pos (-L * c)
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+ have hb : Real.exp (-L * base) ≤ Real.exp (-L * c) :=
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+ Real.exp_le_exp.mpr (by nlinarith)
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+ cases own <;> cases touched <;> simp only [maskedFactor, Bool.false_eq_true, ↓reduceIte]
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+ · simp only [abs_zero, integral_zero]; positivity
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+ · simp only [abs_zero, integral_zero]; positivity
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+ · exact integral_abs_centeredFactor_exp_le rate s hL hmass hlam hbase
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+ · simp only [abs_neg, abs_of_pos (Real.exp_pos _), integral_const, probReal_univ,
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+ smul_eq_mul, one_mul]
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+ linarith
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+ omit [DecidableEq ι] in
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+
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+ lemma integral_abs_maskedTerm_exp_le (rate : ι → ℝ≥0) {R : ℕ} (s : Finset ι)
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+ (own touched : Fin R → Bool) {L lam base c : ℝ} (hL : 0 ≤ L)
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+ (hmass : mass rate s = L * lam) (hlam : c ≤ lam) (hbase : c ≤ base) :
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+ (∫ ω, |maskedTerm s (Real.exp (-L * base)) own touched ω| ∂scheduleMeasure rate R) ≤
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+ (2 * Real.exp (-L * c)) ^ R := by
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+ simp only [maskedTerm, Finset.abs_prod, scheduleMeasure]
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+ rw [integral_fintype_prod_eq_prod (f := fun r ω =>
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+ |maskedFactor s (Real.exp (-L * base)) (own r) (touched r) ω|)]
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+ calc
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+ _ ≤ ∏ _ : Fin R, 2 * Real.exp (-L * c) := by
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+ apply Finset.prod_le_prod₀ (fun _ _ => integral_nonneg (fun _ => abs_nonneg _))
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+ intro r _
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+ exact integral_abs_maskedFactor_exp_le rate s (own r) (touched r) hL hmass hlam hbase
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+ _ = _ := by simp
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+ omit [Fintype ι] [DecidableEq ι] in
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+
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+ lemma abs_prod_maskedTerm_le {ν : Type*} [DecidableEq ν] {R : ℕ}
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+ (I : Finset ν) (directions : ν → Finset ι) {b : ℝ} (hb : b ∈ Set.Icc 0 1)
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+ (own touched : ν → Fin R → Bool) {h : ν} (hh : h ∈ I) (ω : Fin R → ι → ℕ) :
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+ |∏ i ∈ I, maskedTerm (directions i) b (own i) (touched i) ω| ≤
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+ |maskedTerm (directions h) b (own h) (touched h) ω| := by
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+ rw [Finset.abs_prod, ← Finset.prod_erase_mul _ _ hh]
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+ have hp : (∏ i ∈ I.erase h, |maskedTerm (directions i) b (own i) (touched i) ω|) ≤ 1 :=
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+ Finset.prod_le_one₀ (fun _ _ => abs_nonneg _) (fun _ _ => abs_maskedTerm_le_one _ hb _ _ _)
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+ simpa using mul_le_mul_of_nonneg_right hp
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+ (abs_nonneg (maskedTerm (directions h) b (own h) (touched h) ω))
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+
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+ omit [DecidableEq ι] in
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+
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+ lemma integral_abs_component_indicator_le (rate : ι → ℝ≥0)
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+ {ν : Type*} [DecidableEq ν] {R : ℕ} (I : Finset ν) (directions : ν → Finset ι)
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+ (own touched : ν → Fin R → Bool) (E : Set (Fin R → ι → ℕ))
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+ {h : ν} (hh : h ∈ I) {L lam base c : ℝ} (hL : 0 ≤ L) (hc : 0 ≤ c)
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+ (hmass : mass rate (directions h) = L * lam) (hlam : c ≤ lam) (hbase : c ≤ base) :
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+ (∫ ω, |E.indicator (fun ω => ∏ i ∈ I,
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+ maskedTerm (directions i) (Real.exp (-L * base)) (own i) (touched i) ω) ω|
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+ ∂scheduleMeasure rate R) ≤ (2 * Real.exp (-L * c)) ^ R := by
244
+ have hb : Real.exp (-L * base) ∈ Set.Icc 0 1 :=
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+ ⟨(Real.exp_pos _).le, Real.exp_le_one_iff.mpr (by nlinarith)⟩
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+ have hpoint : ∀ ω, |E.indicator (fun ω => ∏ i ∈ I,
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+ maskedTerm (directions i) (Real.exp (-L * base)) (own i) (touched i) ω) ω| ≤
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+ |maskedTerm (directions h) (Real.exp (-L * base)) (own h) (touched h) ω| := by
249
+ intro ω
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+ by_cases he : ω ∈ E
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+ · simpa only [Set.indicator_of_mem he] using abs_prod_maskedTerm_le I directions hb own touched hh ω
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+ · simp only [Set.indicator_of_notMem he, abs_zero]; exact abs_nonneg _
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+ calc
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+ _ ≤ ∫ ω, |maskedTerm (directions h) (Real.exp (-L * base)) (own h) (touched h) ω|
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+ ∂scheduleMeasure rate R := by
256
+ apply integral_mono
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+ · apply integrable_schedule_of_abs_le rate _ 1
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+ intro ω
259
+ rw [abs_abs]
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+ exact (hpoint ω).trans (abs_maskedTerm_le_one _ hb _ _ _)
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+ · exact (integrable_schedule_of_abs_le rate _ 1 (abs_maskedTerm_le_one _ hb _ _)).abs
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+ · exact hpoint
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+ _ ≤ _ := integral_abs_maskedTerm_exp_le rate _ _ _ hL hmass hlam hbase
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+
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+ def untouchedBatches {R : ℕ} (touched : Fin R → Bool) : Finset (Fin R) :=
266
+ Finset.univ.filter (fun r => touched r = false)
267
+
268
+ omit [DecidableEq ι] in
269
+
270
+ lemma abs_integral_maskedTerm_le_untouched (rate : ι → ℝ≥0) {R : ℕ}
271
+ (s : Finset ι) (own touched : Fin R → Bool) {L base c delta alpha : ℝ}
272
+ (hL : 1 ≤ L) (hmass : mass rate s = L * (base + delta - alpha))
273
+ (hinternal : c ≤ base + delta - alpha) (hbase : c ≤ base) (ha : 0 ≤ alpha) :
274
+ |∫ ω, maskedTerm s (Real.exp (-L * base)) own touched ω ∂scheduleMeasure rate R| ≤
275
+ (L * Real.exp (-L * c)) ^ R * (|delta| + alpha) ^ (untouchedBatches touched).card := by
276
+ have hL0 : 0 ≤ L := by linarith
277
+ have he := (Real.exp_pos (-L * c)).le
278
+ have hd : 0 ≤ |delta| + alpha := add_nonneg (abs_nonneg _) ha
279
+ have hu := abs_integral_centeredFactor_le rate s hL0 hmass hinternal hbase
280
+ rw [integral_centeredFactor] at hu
281
+ have hdif : |base + delta - alpha - base| ≤ |delta| + alpha := by
282
+ calc
283
+ |base + delta - alpha - base| = |delta - alpha| := by congr 1; ring
284
+ _ ≤ |delta| + |alpha| := abs_sub _ _
285
+ _ = _ := by rw [abs_of_nonneg ha]
286
+ have hu' := hu.trans (mul_le_mul_of_nonneg_left hdif (mul_nonneg hL0 he))
287
+ have hb : Real.exp (-L * base) ≤ L * Real.exp (-L * c) := by
288
+ have h₁ : Real.exp (-L * base) ≤ Real.exp (-L * c) :=
289
+ Real.exp_le_exp.mpr (by nlinarith)
290
+ have h₂ := mul_le_mul_of_nonneg_right hL he
291
+ nlinarith
292
+ rw [integral_maskedTerm, Finset.abs_prod]
293
+ calc
294
+ _ ≤ ∏ r, (L * Real.exp (-L * c)) * (if touched r then 1 else |delta| + alpha) := by
295
+ apply Finset.prod_le_prod₀ (fun _ _ => abs_nonneg _)
296
+ intro r _
297
+ cases ho : own r <;> cases ht : touched r <;>
298
+ simp only [Bool.false_eq_true, ↓reduceIte, abs_neg, abs_zero, mul_one]
299
+ · exact mul_nonneg (mul_nonneg hL0 he) hd
300
+ · exact mul_nonneg hL0 he
301
+ · exact hu'
302
+ · simpa only [abs_of_pos (Real.exp_pos _)] using hb
303
+ _ = _ := by
304
+ rw [Finset.prod_mul_distrib]
305
+ simp [Finset.prod_ite, untouchedBatches]
306
+ omit [DecidableEq ι] in
307
+
308
+ lemma abs_integral_maskedTerm_le_designations (rate : ι → ℝ≥0) {R : ℕ}
309
+ (s : Finset ι) (own touched : Fin R → Bool) {L base c delta alpha : ℝ}
310
+ (hL : 1 ≤ L) (hmass : mass rate s = L * (base + delta - alpha))
311
+ (hinternal : c ≤ base + delta - alpha) (hbase : c ≤ base)
312
+ (ha : 0 ≤ alpha) (hd : |delta| + alpha ≤ 1) {N K : ℕ}
313
+ (hN : N ≤ (untouchedBatches touched).card) (hK : K ≤ N) :
314
+ |∫ ω, maskedTerm s (Real.exp (-L * base)) own touched ω ∂scheduleMeasure rate R| ≤
315
+ (2 * L * Real.exp (-L * c)) ^ R * (|delta| ^ N + alpha ^ K) := by
316
+ have hNR : N ≤ R := hN.trans (by simpa using Finset.card_le_univ (untouchedBatches touched))
317
+ have hKpow : alpha ^ N ≤ alpha ^ K :=
318
+ pow_le_pow_of_le_one ha (by linarith [abs_nonneg delta]) hK
319
+ have h2pow : (2 : ℝ) ^ (N - 1) ≤ 2 ^ R :=
320
+ pow_le_pow_right₀ (by norm_num) ((Nat.sub_le N 1).trans hNR)
321
+ have hsplit : (|delta| + alpha) ^ (untouchedBatches touched).card ≤
322
+ 2 ^ R * (|delta| ^ N + alpha ^ K) := calc
323
+ _ ≤ (|delta| + alpha) ^ N := pow_le_pow_of_le_one (by positivity) hd hN
324
+ _ ≤ 2 ^ (N - 1) * (|delta| ^ N + alpha ^ N) := add_pow_le (abs_nonneg _) ha N
325
+ _ ≤ _ := mul_le_mul h2pow (add_le_add le_rfl hKpow) (by positivity) (by positivity)
326
+ calc
327
+ _ ≤ (L * Real.exp (-L * c)) ^ R * (|delta| + alpha) ^ (untouchedBatches touched).card :=
328
+ abs_integral_maskedTerm_le_untouched rate s own touched hL hmass hinternal hbase ha
329
+ _ ≤ (L * Real.exp (-L * c)) ^ R * (2 ^ R * (|delta| ^ N + alpha ^ K)) :=
330
+ mul_le_mul_of_nonneg_left hsplit (by positivity)
331
+ _ = _ := by rw [← mul_assoc, ← mul_pow]; congr 2; ring
332
+
333
+ lemma two_mul_le_exp_small {L : ℝ} (hL : 10000 ≤ L) :
334
+ 2 * L ≤ Real.exp ((3 / 50 : ℝ) * L) := by
335
+ have hL0 : 0 ≤ L := by linarith
336
+ have he := Real.quadratic_le_exp_of_nonneg (show 0 ≤ (3 / 50 : ℝ) * L by positivity)
337
+ have hs : 10000 * L ≤ L ^ 2 := by nlinarith [mul_nonneg (sub_nonneg.mpr hL) hL0]
338
+ nlinarith
339
+
340
+ lemma two_mul_score_attenuation {L : ℝ} (hL : 10000 ≤ L) (R : ℕ) :
341
+ (2 * L * Real.exp (-(37 / 50 : ℝ) * L)) ^ R ≤
342
+ Real.exp (-(17 / 25 : ℝ) * (L * R)) := by
343
+ have h := mul_le_mul_of_nonneg_right (two_mul_le_exp_small hL)
344
+ (Real.exp_pos (-(37 / 50 : ℝ) * L)).le
345
+ rw [← Real.exp_add] at h
346
+ have heq : (3 / 50 : ℝ) * L + -(37 / 50 : ℝ) * L = -(17 / 25 : ℝ) * L := by ring
347
+ rw [heq] at h
348
+ have hp := pow_le_pow_left₀ (show 0 ≤ 2 * L * Real.exp (-(37 / 50 : ℝ) * L) by
349
+ have : 0 ≤ L := by linarith
350
+ positivity) h R
351
+ rw [← Real.exp_nat_mul] at hp
352
+ convert hp using 1
353
+ congr 1
354
+ ring
355
+
356
+ omit [DecidableEq ι] in
357
+
358
+ lemma simple_singleton_attenuation (rate : ι → ℝ≥0) {R : ℕ}
359
+ (s : Finset ι) (own touched : Fin R → Bool) {L base delta alpha : ℝ}
360
+ (hL : 10000 ≤ L) (hmass : mass rate s = L * (base + delta - alpha))
361
+ (hinternal : (37 / 50 : ℝ) ≤ base + delta - alpha) (hbase : (37 / 50 : ℝ) ≤ base)
362
+ (ha : 0 ≤ alpha) (hd : |delta| + alpha ≤ 1) {N K : ℕ}
363
+ (hN : N ≤ (untouchedBatches touched).card) (hK : K ≤ N) :
364
+ |∫ ω, maskedTerm s (Real.exp (-L * base)) own touched ω ∂scheduleMeasure rate R| ≤
365
+ Real.exp (-(17 / 25 : ℝ) * (L * R)) * (|delta| ^ N + alpha ^ K) := by
366
+ have h := abs_integral_maskedTerm_le_designations rate s own touched
367
+ (show 1 ≤ L by linarith) hmass hinternal hbase ha hd hN hK
368
+ apply h.trans
369
+ simpa only [neg_mul, mul_comm L (37 / 50 : ℝ)] using
370
+ mul_le_mul_of_nonneg_right (two_mul_score_attenuation hL R)
371
+ (show 0 ≤ |delta| ^ N + alpha ^ K by positivity)
372
+
373
+ noncomputable def hitIndicator (i : ι) (ω : ι → ℕ) : ℝ :=
374
+ 1 - emptyIndicator {i} ω
375
+
376
+ omit [Fintype ι] [DecidableEq ι] in
377
+ lemma hitIndicator_eq (i : ι) (ω : ι → ℕ) :
378
+ hitIndicator i ω = if ω i = 0 then 0 else 1 := by
379
+ simp only [hitIndicator, emptyIndicator, emptyEvent
380
+ ]
381
+ by_cases h : ω i = 0 <;> simp [h]
382
+ omit [Fintype ι] [DecidableEq ι] in
383
+
384
+ lemma hitIndicator_nonneg (i : ι) (ω : ι → ℕ) : 0 ≤ hitIndicator i ω := by
385
+ rw [hitIndicator_eq]; split <;> norm_num
386
+ omit [Fintype ι] [DecidableEq ι] in
387
+
388
+ lemma hitIndicator_le_one (i : ι) (ω : ι → ℕ) : hitIndicator i ω ≤ 1 := by
389
+ rw [hitIndicator_eq]; split <;> norm_num
390
+ omit [DecidableEq ι] in
391
+
392
+ lemma integrable_hitIndicator (rate : ι → ℝ≥0) (i : ι) :
393
+ Integrable (hitIndicator i) (batchMeasure rate) :=
394
+ (integrable_const 1).sub (integrable_emptyIndicator rate {i})
395
+ omit [DecidableEq ι] in
396
+
397
+ lemma integral_hitIndicator (rate : ι → ℝ≥0) (i : ι) :
398
+ (∫ ω, hitIndicator i ω ∂batchMeasure rate) = 1 - Real.exp (-(rate i : ℝ)) := by
399
+ unfold hitIndicator
400
+ rw [integral_sub (integrable_const 1) (integrable_emptyIndicator rate {i}),
401
+ integral_emptyIndicator]
402
+ simp [mass]
403
+ omit [Fintype ι] [DecidableEq ι] in
404
+
405
+ lemma maskedFactor_mul_hit (s : Finset ι) (i : ι) (hi : i ∈ s) (b : ℝ)
406
+ (own touched : Bool) (ω : ι → ℕ) :
407
+ maskedFactor s b own touched ω * hitIndicator i ω =
408
+ (if own then -b else 0) * hitIndicator i ω := by
409
+ rw [hitIndicator_eq]
410
+ by_cases hz : ω i = 0
411
+ · simp [hz]
412
+ · simp only [hz, ↓reduceIte, mul_one]
413
+ have hh : ω ∉ emptyEvent s := by
414
+ intro h
415
+ exact hz (h i hi)
416
+ cases own <;> cases touched <;> simp [maskedFactor, centeredFactor_of_hit s b ω hi hz]
417
+ omit [DecidableEq ι] in
418
+
419
+ lemma integral_abs_maskedFactor_hit_le (rate : ι → ℝ≥0)
420
+ (s : Finset ι) (i : ι) (hi : i ∈ s) (own touched : Bool)
421
+ {L base c : ℝ} (hL : 0 ≤ L) (hbase : c ≤ base) :
422
+ (∫ ω, |maskedFactor s (Real.exp (-L * base)) own touched ω| * hitIndicator i ω
423
+ ∂batchMeasure rate) ≤ Real.exp (-L * c) * (rate i : ℝ) := by
424
+ have heq : (fun ω => |maskedFactor s (Real.exp (-L * base)) own touched ω| * hitIndicator i ω) =
425
+ fun ω => (if own then Real.exp (-L * base) else 0) * hitIndicator i ω := by
426
+ funext ω
427
+ rw [← abs_of_nonneg (hitIndicator_nonneg i ω), ← abs_mul, maskedFactor_mul_hit s i hi]
428
+ cases own <;>
429
+ simp [abs_mul, abs_of_nonneg (hitIndicator_nonneg i ω), abs_of_pos (Real.exp_pos _)]
430
+ rw [heq, integral_const_mul, integral_hitIndicator]
431
+ have hnonneg : 0 ≤ 1 - Real.exp (-(rate i : ℝ)) := by
432
+ have : Real.exp (-(rate i : ℝ)) ≤ 1 := Real.exp_le_one_iff.mpr (neg_nonpos.mpr (rate i).coe_nonneg)
433
+ linarith
434
+ have hb : Real.exp (-L * base) ≤ Real.exp (-L * c) := Real.exp_le_exp.mpr (by nlinarith)
435
+ cases own
436
+ · simp only [Bool.false_eq_true, ↓reduceIte, zero_mul]; positivity
437
+ · simp only [↓reduceIte]
438
+ exact mul_le_mul hb (one_sub_exp_neg_le (rate i : ℝ)) hnonneg (Real.exp_pos _).le
439
+
440
+ noncomputable def forcedHits {R : ℕ} (i : ι) (T : Finset (Fin R))
441
+ (ω : Fin R → ι → ℕ) : ℝ := ∏ r ∈ T, hitIndicator i (ω r)
442
+ omit [Fintype ι] [DecidableEq ι] in
443
+
444
+ lemma forcedHits_nonneg {R : ℕ} (i : ι) (T : Finset (Fin R)) (ω : Fin R → ι → ℕ) :
445
+ 0 ≤ forcedHits i T ω := Finset.prod_nonneg (fun _ _ => hitIndicator_nonneg _ _)
446
+
447
+ end SharpRamseyFive.PoissonScore
448
+ end
449
+
450
+ end OAI
lean/OAI/Combinatorics/SharpRamsey/Entropy/LabelledFilterCard.lean ADDED
@@ -0,0 +1,469 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ import Mathlib
2
+ import OAI.Combinatorics.SharpRamsey.Entropy.CompleteProgramWeight
3
+
4
+ namespace OAI
5
+
6
+ /-! High moments, finite-field subspaces, and incidence bounds. -/
7
+
8
+ section
9
+ open MeasureTheory ProbabilityTheory
10
+ open scoped BigOperators NNReal
11
+ open MeasureTheory ProbabilityTheory
12
+ open scoped BigOperators NNReal
13
+ open scoped BigOperators
14
+ open MeasureTheory ProbabilityTheory
15
+ open scoped BigOperators ENNReal NNReal
16
+ namespace SharpRamseyFive.SelectionBridge
17
+ open MeasureTheory ProbabilityTheory
18
+ open scoped BigOperators NNReal
19
+ open SharpRamseyFive.PoissonScore SharpRamseyFive.TupleComponents
20
+ open SharpRamseyFive.Designations SharpRamseyFive.AmbientDesignations
21
+ open SharpRamseyFive.CertificateCover SharpRamseyFive.WeightedPrograms
22
+ open Classical
23
+ variable {D V H : Type} [Fintype D] [DecidableEq D] [Fintype V] [DecidableEq V]
24
+ [Fintype H] [DecidableEq H]
25
+ omit [DecidableEq V] [DecidableEq H] in
26
+ lemma labelled_filter_card (P : H → Prop) [DecidablePred P] :
27
+ (Finset.univ.filter (fun x : H × V => P x.1)).card =
28
+ (Finset.univ.filter P).card * Fintype.card V := by
29
+ have he : Finset.univ.filter (fun x : H × V => P x.1) =
30
+ (Finset.univ.filter P) ×ˢ (Finset.univ : Finset V) := by
31
+ ext z
32
+ simp
33
+ rw [he, Finset.card_product, Finset.card_univ]
34
+ omit [DecidableEq V] in
35
+
36
+ lemma vertexBadMass_nonneg (weight rate : D → ℝ≥0) (s : V → Finset D)
37
+ (t : ℝ) (R J : ℕ) (A : Finset V) : 0 ≤ vertexBadMass weight rate s t R J A := by
38
+ unfold vertexBadMass
39
+ exact badMass_nonneg _ _ (blockTrunc_range _ R J none) _ A
40
+
41
+ theorem all_bad_residual_sum_le (weight rate : D → ℝ≥0) (lines : H → Finset D)
42
+ (t : ℝ) (R : ℕ) (denom b mass : ℝ)
43
+ (hd : 0 < denom) (hb : 1 ≤ b) (hm : 0 ≤ mass)
44
+ (hmass : ∀ u, ∑ d ∈ lines u, (rate d : ℝ) ≤ mass)
45
+ (K J h N₁ N₂ : ℕ) (hK : 2 ≤ K) (hh : 0 < h) (low : Bool)
46
+ (hsize : h ≤ (R / 2 - if low then 0 else J) / (2 * K))
47
+ (herr : (Fintype.card V : ℝ) * h * (19 / 20 : ℝ) ^ (h - 1) < 1 / 2)
48
+ (hN₁ : ∀ d, (Finset.univ.filter (fun u => d ∈ lines u)).card ≤ N₁)
49
+ (hN₂ : ∀ d e, d ≠ e →
50
+ (Finset.univ.filter (fun u => d ∈ lines u ∧ e ∈ lines u)).card ≤ N₂)
51
+ (A : Finset V) (g : V → H) :
52
+ (∑ f : V → H, if (∀ v ∉ A, g v = f v) then
53
+ vertexBadMass weight rate (lines ∘ f) t R J A else 0) ≤
54
+ denom ^ A.card * ∑ n : Fin (A.card + 1),
55
+ branchingBound (V := V) (B := Fin R) (fun z : H × V => lines z.1)
56
+ rate denom b mass K (N₁ * Fintype.card V) (N₂ * Fintype.card V) low ^ n.val := by
57
+ let F : (V → H × V) → ℝ := fun f =>
58
+ if Function.Injective f ∧ (∀ v ∉ A, labelled g v = f v) then
59
+ vertexBadMass weight rate ((fun z : H × V => lines z.1) ∘ f) t R J A else 0
60
+ have hF (f : V → H × V) : 0 ≤ F f := by
61
+ dsimp [F]
62
+ split_ifs
63
+ · exact vertexBadMass_nonneg weight rate _ t R J A
64
+ · exact le_rfl
65
+ have he (f : V → H) : F (labelled f) =
66
+ if (∀ v ∉ A, g v = f v) then vertexBadMass weight rate (lines ∘ f) t R J A else 0 := by
67
+ have ha : (∀ v ∉ A, labelled g v = labelled f v) ↔ (∀ v ∉ A, g v = f v) := by
68
+ simp only [labelled, Prod.mk.injEq, and_true]
69
+ simp only [F, labelled_injective, true_and, ha]
70
+ rfl
71
+ calc
72
+ _ = ∑ f : V → H, F (labelled f) := by simp only [he]
73
+ _ = ∑ f ∈ Finset.univ.image (labelled : (V → H) → (V → H × V)), F f := by
74
+ rw [Finset.sum_image (fun _ _ _ _ h => labelled_map_injective h)]
75
+ _ ≤ ∑ f : V → H × V, F f :=
76
+ Finset.sum_le_sum_of_subset_of_nonneg (Finset.subset_univ _) (fun f _ _ => hF f)
77
+ _ ≤ _ := by
78
+ apply bad_residual_sum_le weight rate (fun z : H × V => lines z.1) t R
79
+ denom b mass hd hb hm (fun u => hmass u.1) K J h
80
+ (N₁ * Fintype.card V) (N₂ * Fintype.card V) hK hh low hsize herr
81
+ · intro d
82
+ exact (labelled_filter_card (V := V) (H := H) (fun u => d ∈ lines u)).le.trans
83
+ (Nat.mul_le_mul_right _ (hN₁ d))
84
+ · intro d e hde
85
+ exact (labelled_filter_card (V := V) (H := H) (fun u => d ∈ lines u ∧ e ∈ lines u)).le.trans
86
+ (Nat.mul_le_mul_right _ (hN₂ d e hde))
87
+
88
+ end SharpRamseyFive.SelectionBridge
89
+
90
+ namespace SharpRamseyFive.ResidualElimination
91
+ open scoped BigOperators
92
+ open Classical
93
+ variable {V H : Type} [Fintype V] [DecidableEq V] [Fintype H] [DecidableEq H]
94
+
95
+ def Agrees (E : Finset V) (g f : V → H) : Prop := ∀ v ∉ E, f v = g v
96
+
97
+ noncomputable def completionSum (E : Finset V) (g : V → H) (F : (V → H) → ℝ) : ℝ :=
98
+ ∑ f : V → H, if Agrees E g f then F f else 0
99
+
100
+ omit [DecidableEq H] in
101
+ lemma completionSum_nonneg (E : Finset V) (g : V → H) (F : (V → H) → ℝ)
102
+ (hF : ∀ f, 0 ≤ F f) : 0 ≤ completionSum E g F := by
103
+ apply Finset.sum_nonneg
104
+ intro f _
105
+ split_ifs
106
+ · exact hF f
107
+ · exact le_rfl
108
+
109
+ omit [DecidableEq H] in
110
+ lemma completionSum_mono (E : Finset V) (g : V → H) (F G : (V → H) → ℝ)
111
+ (h : ∀ f, Agrees E g f → F f ≤ G f) :
112
+ completionSum E g F ≤ completionSum E g G := by
113
+ apply Finset.sum_le_sum
114
+ intro f _
115
+ split_ifs with hf
116
+ · exact h f hf
117
+ · exact le_rfl
118
+ omit [DecidableEq H] in
119
+
120
+ lemma completionSum_congr (E : Finset V) (g : V → H) (F G : (V → H) → ℝ)
121
+ (h : ∀ f, Agrees E g f → F f = G f) :
122
+ completionSum E g F = completionSum E g G := by
123
+ apply le_antisymm <;> apply completionSum_mono
124
+ · exact fun f hf => le_of_eq (h f hf)
125
+ · exact fun f hf => le_of_eq (h f hf).symm
126
+
127
+ omit [DecidableEq H] in
128
+ lemma completionSum_mul (E : Finset V) (g : V → H) (c : ℝ) (F : (V → H) → ℝ) :
129
+ completionSum E g (fun f => c * F f) = c * completionSum E g F := by
130
+ simp only [completionSum, Finset.mul_sum, mul_ite, mul_zero]
131
+
132
+ omit [DecidableEq H] in
133
+ lemma completionSum_sum {ι : Type} (T : Finset ι) (E : Finset V) (g : V → H)
134
+ (F : ι → (V → H) → ℝ) :
135
+ completionSum E g (fun f => ∑ i ∈ T, F i f) =
136
+ ∑ i ∈ T, completionSum E g (F i) := by
137
+ unfold completionSum
138
+ rw [Finset.sum_comm]
139
+ apply Finset.sum_congr rfl
140
+ intro f _
141
+ by_cases h : Agrees E g f <;> simp [h]
142
+
143
+ omit [Fintype V] [Fintype H] [DecidableEq H] in
144
+ lemma agrees_erase_iff (E : Finset V) (g f : V → H) {u : V} (hu : u ∈ E) (x : H) :
145
+ Agrees (E.erase u) (Function.update g u x) f ↔ Agrees E g f ∧ f u = x := by
146
+ constructor
147
+ · intro h
148
+ constructor
149
+ · intro v hv
150
+ have hvu : v ≠ u := by intro he; exact hv (he ▸ hu)
151
+ simpa only [Function.update_of_ne hvu] using h v (by simp [hv])
152
+ · simpa using h u (Finset.notMem_erase u E)
153
+ · rintro ⟨h, hx⟩ v hv
154
+ by_cases hvu : v = u
155
+ · subst v; simpa using hx
156
+ · rw [Function.update_of_ne hvu]
157
+ exact h v (by simpa [hvu] using hv)
158
+
159
+ lemma completionSum_expose (E : Finset V) (g : V → H) {u : V} (hu : u ∈ E)
160
+ (F : (V → H) → ℝ) :
161
+ completionSum E g F = ∑ x : H, completionSum (E.erase u) (Function.update g u x) F := by
162
+ unfold completionSum
163
+ rw [Finset.sum_comm]
164
+ apply Finset.sum_congr rfl
165
+ intro f _
166
+ simp only [agrees_erase_iff E g f hu]
167
+ by_cases h : Agrees E g f
168
+ · simp [h, eq_comm]
169
+ · simp [h]
170
+
171
+ lemma completionSum_empty (g : V → H) (F : (V → H) → ℝ) :
172
+ completionSum ∅ g F = F g := by
173
+ have he (f : V → H) : Agrees ∅ g f ↔ f = g := by
174
+ constructor
175
+ · intro h
176
+ funext v
177
+ exact h v (Finset.notMem_empty v)
178
+ · rintro rfl v _
179
+ rfl
180
+ simp [completionSum, he]
181
+
182
+ noncomputable def term (a : V → (V → H) → ℝ) (B : Finset V → (V → H) → ℝ)
183
+ (E S : Finset V) (f : V → H) : ℝ := (∏ u ∈ S, a u f) * B (E \ S) f
184
+
185
+ omit [Fintype V] [Fintype H] [DecidableEq H] in
186
+ lemma term_nonneg (a : V → (V → H) → ℝ) (B : Finset V → (V → H) → ℝ)
187
+ (ha : ∀ u f, 0 ≤ a u f) (hB : ∀ A f, 0 ≤ B A f)
188
+ (E S : Finset V) (f : V → H) : 0 ≤ term a B E S f :=
189
+ mul_nonneg (Finset.prod_nonneg (fun u _ => ha u f)) (hB _ f)
190
+
191
+ omit [Fintype V] in
192
+ lemma prod_erase_le (a : V → ℝ) (ha : ∀ u, a u ∈ Set.Icc (0 : ℝ) 1)
193
+ (S : Finset V) (v : V) : (∏ u ∈ S, a u) ≤ ∏ u ∈ S.erase v, a u := by
194
+ by_cases hv : v ∈ S
195
+ · rw [← Finset.mul_prod_erase S a hv]
196
+ exact mul_le_of_le_one_left (Finset.prod_nonneg (fun u _ => (ha u).1)) (ha v).2
197
+ · rw [Finset.erase_eq_of_notMem hv]
198
+
199
+ omit [Fintype V] in
200
+ lemma erase_sdiff (E S : Finset V) (u _v : V) (hu : u ∈ S) :
201
+ E.erase u \ S.erase u = E \ S := by
202
+ ext w
203
+ by_cases hw : w = u <;> simp [hw, hu]
204
+
205
+ omit [Fintype V] in
206
+ lemma double_erase_sdiff (E S : Finset V) (u v : V) (hu : u ∈ S) :
207
+ (E.erase u).erase v \ (S.erase u).erase v = (E \ S).erase v := by
208
+ ext w
209
+ by_cases hwu : w = u <;> by_cases hwv : w = v <;> simp [hwu, hwv, hu]
210
+
211
+ omit [Fintype H] [DecidableEq H] in
212
+ lemma term_shift_step (a : V → (V → H) → ℝ) (B : Finset V → (V → H) → ℝ)
213
+ (W : H → H → ℝ) (ha : ∀ u f, a u f ∈ Set.Icc (0 : ℝ) 1)
214
+ (hW : ∀ x y, 0 ≤ W x y) (hB : ∀ A f, 0 ≤ B A f)
215
+ (hmono : ∀ A A', A' ⊆ A → ∀ f, B A f ≤ B A' f)
216
+ (hshift : ∀ u f, a u f ≤ ∑ v ∈ Finset.univ.erase u, W (f u) (f v))
217
+ (E S : Finset V) {u : V} (hu : u ∈ S) (f : V → H) :
218
+ term a B E S f ≤ ∑ v ∈ Finset.univ.erase u,
219
+ W (f u) (f v) * term a B ((E.erase u).erase v) ((S.erase u).erase v) f := by
220
+ have hp : 0 ≤ (∏ w ∈ S.erase u, a w f) * B (E \ S) f :=
221
+ mul_nonneg (Finset.prod_nonneg (fun w _ => (ha w f).1)) (hB _ f)
222
+ calc
223
+ term a B E S f = a u f * ((∏ w ∈ S.erase u, a w f) * B (E \ S) f) := by
224
+ rw [term, ← Finset.mul_prod_erase S (fun w => a w f) hu, mul_assoc]
225
+ _ ≤ (∑ v ∈ Finset.univ.erase u, W (f u) (f v)) *
226
+ ((∏ w ∈ S.erase u, a w f) * B (E \ S) f) :=
227
+ mul_le_mul_of_nonneg_right (hshift u f) hp
228
+ _ = ∑ v ∈ Finset.univ.erase u, W (f u) (f v) *
229
+ ((∏ w ∈ S.erase u, a w f) * B (E \ S) f) := by rw [Finset.sum_mul]
230
+ _ ≤ _ := by
231
+ apply Finset.sum_le_sum
232
+ intro v hv
233
+ apply mul_le_mul_of_nonneg_left _ (hW _ _)
234
+ unfold term
235
+ rw [double_erase_sdiff E S u v hu]
236
+ apply mul_le_mul (prod_erase_le (fun w => a w f) (fun w => ha w f) _ v)
237
+ (hmono _ _ (Finset.erase_subset v _) f) (hB _ f)
238
+ exact Finset.prod_nonneg (fun w _ => (ha w f).1)
239
+
240
+ lemma sum_known_partner (E : Finset V) (g : V → H) {u v : V} (hu : u ∈ E) (hv : v ∉ E)
241
+ (W : H → H → ℝ) (F : (V → H) → ℝ) (X C : ℝ)
242
+ (hW : ∀ x y, 0 ≤ W x y) (hX : 0 ≤ X)
243
+ (hrow : ∑ x : H, W x (g v) ≤ C)
244
+ (hF : ∀ x : H, completionSum (E.erase u) (Function.update g u x) F ≤ X) :
245
+ completionSum E g (fun f => W (f u) (f v) * F f) ≤ C * X := by
246
+ rw [completionSum_expose E g hu]
247
+ calc
248
+ _ ≤ ∑ x : H, W x (g v) * X := by
249
+ apply Finset.sum_le_sum
250
+ intro x _
251
+ have he : completionSum (E.erase u) (Function.update g u x)
252
+ (fun f => W (f u) (f v) * F f) = W x (g v) *
253
+ completionSum (E.erase u) (Function.update g u x) F := by
254
+ rw [← completionSum_mul]
255
+ apply completionSum_congr
256
+ intro f hf
257
+ have hfu : f u = x := by simpa using hf u (Finset.notMem_erase u E)
258
+ have hvu : v ≠ u := by intro he; exact hv (he ▸ hu)
259
+ have hfv : f v = g v := by
260
+ simpa only [Function.update_of_ne hvu] using hf v (by simp [hv])
261
+ rw [hfu, hfv]
262
+ rw [he]
263
+ exact mul_le_mul_of_nonneg_left (hF x) (hW _ _)
264
+ _ = (∑ x : H, W x (g v)) * X := by rw [Finset.sum_mul]
265
+ _ ≤ _ := mul_le_mul_of_nonneg_right hrow hX
266
+
267
+ lemma sum_new_partner (E : Finset V) (g : V → H) {u v : V}
268
+ (hu : u ∈ E) (hv : v ∈ E) (hne : v ≠ u)
269
+ (W : H → H → ℝ) (F : (V → H) → ℝ) (X C : ℝ)
270
+ (hW : ∀ x y, 0 ≤ W x y) (hX : 0 ≤ X)
271
+ (hpair : (∑ x : H, ∑ y : H, W x y) ≤ C)
272
+ (hF : ∀ x y : H, completionSum ((E.erase u).erase v)
273
+ (Function.update (Function.update g u x) v y) F ≤ X) :
274
+ completionSum E g (fun f => W (f u) (f v) * F f) ≤ C * X := by
275
+ rw [completionSum_expose E g hu]
276
+ have hv' : v ∈ E.erase u := Finset.mem_erase.mpr ⟨hne,hv⟩
277
+ calc
278
+ _ ≤ ∑ x : H, ∑ y : H, W x y * X := by
279
+ apply Finset.sum_le_sum
280
+ intro x _
281
+ rw [completionSum_expose _ _ hv']
282
+ apply Finset.sum_le_sum
283
+ intro y _
284
+ have he : completionSum ((E.erase u).erase v)
285
+ (Function.update (Function.update g u x) v y)
286
+ (fun f => W (f u) (f v) * F f) = W x y *
287
+ completionSum ((E.erase u).erase v)
288
+ (Function.update (Function.update g u x) v y) F := by
289
+ rw [← completionSum_mul]
290
+ apply completionSum_congr
291
+ intro f hf
292
+ have hfu : f u = x := by
293
+ simpa only [Function.update_of_ne hne.symm, Function.update_self] using
294
+ hf u (by simp)
295
+ have hfv : f v = y := by simpa using hf v (by simp)
296
+ rw [hfu, hfv]
297
+ rw [he]
298
+ exact mul_le_mul_of_nonneg_left (hF x y) (hW _ _)
299
+ _ = (∑ x : H, ∑ y : H, W x y) * X := by simp only [Finset.sum_mul]
300
+ _ ≤ _ := mul_le_mul_of_nonneg_right hpair hX
301
+
302
+ theorem shift_bad_enumeration (a : V → (V → H) → ℝ) (B : Finset V → (V → H) → ℝ)
303
+ (W : H → H → ℝ) (C : ℝ) (hC : 0 ≤ C)
304
+ (ha : ∀ u f, a u f ∈ Set.Icc (0 : ℝ) 1)
305
+ (hW : ∀ x y, 0 ≤ W x y) (hB : ∀ A f, 0 ≤ B A f)
306
+ (hmono : ∀ A A', A' ⊆ A → ∀ f, B A f ≤ B A' f)
307
+ (hshift : ∀ u f, a u f ≤ ∑ v ∈ Finset.univ.erase u, W (f u) (f v))
308
+ (hrow : ∀ y, (∑ x : H, W x y) ≤ C)
309
+ (hpair : (∑ x : H, ∑ y : H, W x y) ≤ C ^ 2)
310
+ (hbad : ∀ A g, completionSum A g (B A) ≤ C ^ A.card)
311
+ (E S : Finset V) (hS : S ⊆ E) (g : V → H) :
312
+ completionSum E g (term a B E S) ≤ ((Fintype.card V + 1 : ℝ) * C) ^ E.card := by
313
+ let M : ℝ := (Fintype.card V + 1) * C
314
+ have hCM : C ≤ M := by dsimp [M]; nlinarith [Nat.cast_nonneg (α := ℝ) (Fintype.card V)]
315
+ have hM : 0 ≤ M := hC.trans hCM
316
+ suffices hall : ∀ E : Finset V, ∀ S, S ⊆ E → ∀ g : V → H,
317
+ completionSum E g (term a B E S) ≤ M ^ E.card from hall E S hS g
318
+ intro E
319
+ refine Finset.strongInductionOn E ?_
320
+ intro E ih S hS g
321
+ by_cases hs : S = ∅
322
+ · subst S
323
+ have he : term a B E ∅ = B E := by
324
+ funext f
325
+ simp [term]
326
+ rw [he]
327
+ exact (hbad E g).trans (pow_le_pow_left₀ hC hCM _)
328
+ obtain ⟨u,hu⟩ := Finset.nonempty_iff_ne_empty.mpr hs
329
+ have huE := hS hu
330
+ have hsub := Finset.erase_ssubset huE
331
+ have hS' : S.erase u ⊆ E.erase u := Finset.erase_subset_erase u hS
332
+ have hcard : E.card = (E.erase u).card + 1 := (Finset.card_erase_add_one huE).symm
333
+ calc
334
+ _ ≤ completionSum E g (fun f => ∑ v ∈ Finset.univ.erase u,
335
+ W (f u) (f v) * term a B ((E.erase u).erase v) ((S.erase u).erase v) f) := by
336
+ apply completionSum_mono
337
+ intro f _
338
+ exact term_shift_step a B W ha hW hB hmono hshift E S hu f
339
+ _ = ∑ v ∈ Finset.univ.erase u, completionSum E g
340
+ (fun f => W (f u) (f v) * term a B ((E.erase u).erase v) ((S.erase u).erase v) f) :=
341
+ completionSum_sum _ E g _
342
+ _ ≤ ∑ _v ∈ Finset.univ.erase u, C * M ^ (E.erase u).card := by
343
+ apply Finset.sum_le_sum
344
+ intro v hv
345
+ have hne : v ≠ u := (Finset.mem_erase.mp hv).1
346
+ by_cases hvE : v ∈ E
347
+ · have hv' : v ∈ E.erase u := Finset.mem_erase.mpr ⟨hne,hvE⟩
348
+ have hsmall : (E.erase u).erase v ⊂ E :=
349
+ Finset.ssubset_of_subset_of_ssubset (Finset.erase_subset _ _) hsub
350
+ have hSt : (S.erase u).erase v ⊆ (E.erase u).erase v :=
351
+ Finset.erase_subset_erase v hS'
352
+ have hbnd := sum_new_partner E g huE hvE hne W
353
+ (term a B ((E.erase u).erase v) ((S.erase u).erase v))
354
+ (M ^ ((E.erase u).erase v).card) (C ^ 2) hW (pow_nonneg hM _) hpair
355
+ (fun x y => ih _ hsmall _ hSt _)
356
+ apply hbnd.trans
357
+ rw [show (E.erase u).card = ((E.erase u).erase v).card + 1 from
358
+ (Finset.card_erase_add_one hv').symm, pow_succ M]
359
+ calc
360
+ _ = (C * C) * M ^ ((E.erase u).erase v).card := by ring
361
+ _ ≤ (C * M) * M ^ ((E.erase u).erase v).card :=
362
+ mul_le_mul_of_nonneg_right (mul_le_mul_of_nonneg_left hCM hC) (pow_nonneg hM _)
363
+ _ = _ := by ring
364
+ · have hvS : v ∉ S := fun h => hvE (hS h)
365
+ rw [Finset.erase_eq_of_notMem (fun h => hvE (Finset.erase_subset u E h)),
366
+ Finset.erase_eq_of_notMem (fun h => hvS (Finset.erase_subset u S h))]
367
+ exact sum_known_partner E g huE hvE W (term a B (E.erase u) (S.erase u))
368
+ (M ^ (E.erase u).card) C hW (pow_nonneg hM _) (hrow (g v))
369
+ (fun x => ih _ hsub _ hS' _)
370
+ _ ≤ M * M ^ (E.erase u).card := by
371
+ simp only [Finset.sum_const, nsmul_eq_mul]
372
+ rw [← mul_assoc]
373
+ apply mul_le_mul_of_nonneg_right _ (pow_nonneg hM _)
374
+ change ((Finset.univ.erase u).card : ℝ) * C ≤ M
375
+ have hc : ((Finset.univ.erase u).card : ℝ) ≤ (Fintype.card V : ℝ) := by
376
+ exact_mod_cast Finset.card_le_card (Finset.erase_subset u (Finset.univ : Finset V))
377
+ dsimp [M]
378
+ nlinarith
379
+ _ = _ := by rw [hcard, pow_succ]; ring
380
+
381
+ end SharpRamseyFive.ResidualElimination
382
+
383
+ namespace SharpRamseyFive.SingletonEnumeration
384
+ open MeasureTheory ProbabilityTheory
385
+ open scoped BigOperators NNReal
386
+ open SharpRamseyFive.PoissonScore SharpRamseyFive.TupleComponents
387
+ open SharpRamseyFive.Designations SharpRamseyFive.AmbientDesignations
388
+ open SharpRamseyFive.SelectionBridge SharpRamseyFive.WeightedPrograms
389
+ open SharpRamseyFive.ResidualElimination
390
+ open Classical
391
+ variable {D V H : Type} [Fintype D] [DecidableEq D] [Fintype V] [DecidableEq V]
392
+ [Fintype H] [DecidableEq H]
393
+ omit [DecidableEq V] in
394
+
395
+ lemma vertexBadMass_antitone (weight rate : D → ℝ≥0) (s : V → Finset D)
396
+ (t : ℝ) (R J : ℕ) {A A' : Finset V} (hA : A' ⊆ A) :
397
+ vertexBadMass weight rate s t R J A ≤ vertexBadMass weight rate s t R J A' := by
398
+ unfold vertexBadMass badMass
399
+ apply integral_mono
400
+ (badTerm_integrable _ _ (blockTrunc_range _ R J none) _ A)
401
+ (badTerm_integrable _ _ (blockTrunc_range _ R J none) _ A')
402
+ intro z
403
+ apply mul_le_mul_of_nonneg_left _ (blockTrunc_range _ R J none z).1
404
+ exact Finset.prod_le_prod_of_subset_of_le_one₀ hA
405
+ (fun v _ => (badIndicator_range _ v z).1)
406
+ (fun v _ _ => (badIndicator_range _ v z).2)
407
+
408
+ lemma sum_powers_le (x : ℝ) (hx : 0 ≤ x) (n : ℕ) :
409
+ (∑ i ∈ Finset.range (n + 1), x ^ i) ≤ (1 + x) ^ n := by
410
+ induction n with
411
+ | zero => simp
412
+ | succ n ih =>
413
+ rw [Finset.sum_range_succ]
414
+ calc
415
+ _ ≤ (1 + x) ^ n + x ^ (n + 1) := add_le_add ih le_rfl
416
+ _ ≤ (1 + x) ^ n + x * (1 + x) ^ n := by
417
+ rw [pow_succ']
418
+ exact add_le_add le_rfl (mul_le_mul_of_nonneg_left
419
+ (pow_le_pow_left₀ hx (by linarith : x ≤ 1 + x) n) hx)
420
+ _ = _ := by rw [pow_succ]; ring
421
+
422
+ lemma actual_bad_completion (weight rate : D → ℝ≥0) (lines : H → Finset D)
423
+ (t : ℝ) (R : ℕ) (denom b mass : ℝ)
424
+ (hd : 0 < denom) (hb : 1 ≤ b) (hm : 0 ≤ mass)
425
+ (hmass : ∀ u, ∑ d ∈ lines u, (rate d : ℝ) ≤ mass)
426
+ (K J h N₁ N₂ : ℕ) (hK : 2 ≤ K) (hh : 0 < h) (low : Bool)
427
+ (hsize : h ≤ (R / 2 - if low then 0 else J) / (2 * K))
428
+ (herr : (Fintype.card V : ℝ) * h * (19 / 20 : ℝ) ^ (h - 1) < 1 / 2)
429
+ (hN₁ : ∀ d, (Finset.univ.filter (fun u => d ∈ lines u)).card ≤ N₁)
430
+ (hN₂ : ∀ d e, d ≠ e →
431
+ (Finset.univ.filter (fun u => d ∈ lines u ∧ e ∈ lines u)).card ≤ N₂)
432
+ (A : Finset V) (g : V → H) :
433
+ completionSum A g (fun f => vertexBadMass weight rate (lines ∘ f) t R J A) ≤
434
+ (denom * (1 + branchingBound (V := V) (B := Fin R)
435
+ (fun z : H × V => lines z.1) rate denom b mass K
436
+ (N₁ * Fintype.card V) (N₂ * Fintype.card V) low)) ^ A.card := by
437
+ have he : completionSum A g (fun f => vertexBadMass weight rate (lines ∘ f) t R J A) =
438
+ ∑ f : V → H, if (∀ v ∉ A, g v = f v) then
439
+ vertexBadMass weight rate (lines ∘ f) t R J A else 0 := by
440
+ unfold completionSum
441
+ apply Finset.sum_congr rfl
442
+ intro f _
443
+ have : Agrees A g f ↔ (∀ v ∉ A, g v = f v) := by
444
+ simp only [Agrees, eq_comm]
445
+ simp only [this]
446
+ rw [he]
447
+ apply (all_bad_residual_sum_le weight rate lines t R denom b mass hd hb hm hmass
448
+ K J h N₁ N₂ hK hh low hsize herr hN₁ hN₂ A g).trans
449
+ rw [mul_pow]
450
+ apply mul_le_mul_of_nonneg_left _ (pow_nonneg hd.le _)
451
+ rw [Fin.sum_univ_eq_sum_range]
452
+ apply sum_powers_le
453
+ exact branchingBound_nonneg _ _ _ _ _ hd.le (by linarith) hm _ _ _ _
454
+
455
+ noncomputable def shiftKernel (weight : D → ℝ≥0) (lines : H → Finset D) (p K : ℕ)
456
+ (x y : H) : ℝ := min 1 (((p : ℝ) * mass weight (lines x ∩ lines y)) ^ K)
457
+
458
+ omit [Fintype H] [DecidableEq H] in
459
+ omit [Fintype D] in
460
+ lemma shiftKernel_range (weight : D → ℝ≥0) (lines : H → Finset D) (p K : ℕ)
461
+ (x y : H) : shiftKernel weight lines p K x y ∈ Set.Icc (0 : ℝ) 1 := by
462
+ unfold shiftKernel
463
+ exact ⟨le_min zero_le_one (pow_nonneg (mul_nonneg (Nat.cast_nonneg _) (mass_nonneg _ _)) _),
464
+ min_le_left _ _⟩
465
+
466
+ end SharpRamseyFive.SingletonEnumeration
467
+ end
468
+
469
+ end OAI
lean/OAI/Combinatorics/SharpRamsey/Entropy/LargeCard.lean ADDED
@@ -0,0 +1,448 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ import Mathlib
2
+ import OAI.Combinatorics.SharpRamsey.Entropy.SinglesUnique
3
+
4
+ namespace OAI
5
+
6
+ /-! High moments, finite-field subspaces, and incidence bounds. -/
7
+
8
+ section
9
+ open MeasureTheory ProbabilityTheory
10
+ open scoped BigOperators NNReal
11
+ open MeasureTheory ProbabilityTheory
12
+ open scoped BigOperators NNReal
13
+ open scoped BigOperators
14
+ open MeasureTheory ProbabilityTheory
15
+ open scoped BigOperators ENNReal NNReal
16
+ namespace SharpRamseyFive.AmbientEnumeration
17
+ open scoped BigOperators NNReal
18
+ open Classical
19
+ open SharpRamseyFive.PoissonScore SharpRamseyFive.TupleComponents
20
+ open SharpRamseyFive.AmbientDesignations SharpRamseyFive.ComponentPartition
21
+ open SharpRamseyFive.ComponentEnumeration SharpRamseyFive.ResidualElimination
22
+ open SharpRamseyFive.SingletonEnumeration SharpRamseyFive.SelectionBridge
23
+ variable {D V H : Type} [Fintype D] [DecidableEq D] [Fintype V] [DecidableEq V]
24
+ [Fintype H] [DecidableEq H]
25
+ omit [Fintype D] in
26
+ lemma large_card (weight : D → ℝ≥0) (s : V → Finset D) (t : ℝ) :
27
+ Fintype.card (Components weight s t) - (simpleSet weight s t).card =
28
+ (largeLabels (componentMap (strongGraph weight s t))).card := by
29
+ rw [← large_image, Finset.card_image_of_injective _ (vertex_injective weight s t),
30
+ Finset.card_sdiff_of_subset (Finset.subset_univ _), Finset.card_univ]
31
+
32
+ end SharpRamseyFive.AmbientEnumeration
33
+
34
+ namespace SharpRamseyFive.AmbientEnumeration
35
+ open MeasureTheory ProbabilityTheory
36
+ open scoped BigOperators NNReal
37
+ open Classical
38
+ open SharpRamseyFive.PoissonScore SharpRamseyFive.TupleComponents
39
+ open SharpRamseyFive.AmbientDesignations SharpRamseyFive.ComponentPartition
40
+ open SharpRamseyFive.ComponentEnumeration SharpRamseyFive.ResidualElimination
41
+ open SharpRamseyFive.SingletonEnumeration SharpRamseyFive.SelectionBridge
42
+ open SharpRamseyFive.WeightedPrograms
43
+ variable {D V H : Type} [Fintype D] [DecidableEq D] [Fintype V] [DecidableEq V]
44
+ [Fintype H] [DecidableEq H]
45
+
46
+ noncomputable def vertexExpansion (weight : D → ℝ≥0) (lines : H → Finset D)
47
+ (t : ℝ) (R J K : ℕ) (L : ℝ≥0) (base : ℝ) (E : Finset V) (f : V → H) : ℝ :=
48
+ badExpansion
49
+ (fun u f => independentWeight weight (fun d => L * weight d) lines R J base (f u) +
50
+ alpha weight (lines ∘ f) t u ^ K)
51
+ (fun A f => vertexBadMass weight (fun d => L * weight d) (lines ∘ f) t R J A) E f
52
+ omit [Fintype H] [DecidableEq H] in
53
+
54
+ lemma vertexExpansion_nonneg (weight : D → ℝ≥0) (lines : H → Finset D)
55
+ (t : ℝ) (R J K : ℕ) (L : ℝ≥0) (base : ℝ) (E : Finset V) (f : V → H) :
56
+ 0 ≤ vertexExpansion weight lines t R J K L base E f := by
57
+ apply Finset.sum_nonneg
58
+ intro U _
59
+ apply mul_nonneg
60
+ · apply Finset.prod_nonneg
61
+ intro u _
62
+ exact add_nonneg (independentWeight_nonneg _ _ _ _ _ _ _) (pow_nonneg (alpha_nonneg _ _ _ _) _)
63
+ · exact vertexBadMass_nonneg _ _ _ _ _ _ _
64
+ omit [Fintype H] [DecidableEq H] in
65
+
66
+ lemma designated_le_partition (weight : D → ℝ≥0) (lines : H → Finset D)
67
+ (t : ℝ) (R J K : ℕ) (L : ℝ≥0) (base : ℝ) (f : V → H) :
68
+ designatedBound weight (lines ∘ f) t R J K L base ≤
69
+ Real.exp (-(7 / 10 : ℝ) * ((L : ℝ) * R)) ^
70
+ (largeLabels (componentMap (strongGraph weight (lines ∘ f) t))).card *
71
+ (Real.exp (-(17 / 25 : ℝ) * ((L : ℝ) * R)) ^
72
+ (singles (componentMap (strongGraph weight (lines ∘ f) t))).card *
73
+ vertexExpansion weight lines t R J K L base
74
+ (singles (componentMap (strongGraph weight (lines ∘ f) t))) f) := by
75
+ have ht := mul_le_mul_of_nonneg_left
76
+ (designation_sum_le_vertex weight lines f t R J K L base)
77
+ (show 0 ≤ Real.exp (-(17 / 25 : ℝ) * ((L : ℝ) * R)) ^ (simpleSet weight (lines ∘ f) t).card *
78
+ Real.exp (-(7 / 10 : ℝ) * ((L : ℝ) * R)) ^
79
+ (Fintype.card (Components weight (lines ∘ f) t) - (simpleSet weight (lines ∘ f) t).card) by positivity)
80
+ change designatedBound weight (lines ∘ f) t R J K L base ≤ _ at ht
81
+ rw [large_card, simple_card, simple_image] at ht
82
+ exact ht.trans_eq (by unfold vertexExpansion; ring)
83
+
84
+ theorem designation_sum_enumerated (weight : D → ℝ≥0) (lines : H → Finset D)
85
+ {p : ℕ} (hp : 0 < p) (hc : Fintype.card V ≤ p)
86
+ (R : ℕ) (L : ℝ≥0) (denom rootB mass C D₀ base A : ℝ)
87
+ (hd : 0 < denom) (hb : 1 ≤ rootB) (hm : 0 ≤ mass) (hC : 0 ≤ C)
88
+ (hD : 0 ≤ D₀) (hA : 0 ≤ A)
89
+ (hmass : ∀ u, ∑ d ∈ lines u, ((L * weight d : ℝ≥0) : ℝ) ≤ mass)
90
+ (K J h N₁ N₂ : ℕ) (hK : 2 ≤ K) (hh : 0 < h) (low : Bool)
91
+ (hsize : h ≤ (R / 2 - if low then 0 else J) / (2 * K))
92
+ (herr : (Fintype.card V : ℝ) * h * (19 / 20 : ℝ) ^ (h - 1) < 1 / 2)
93
+ (hN₁ : ∀ d, (Finset.univ.filter (fun u => d ∈ lines u)).card ≤ N₁)
94
+ (hN₂ : ∀ d e, d ≠ e →
95
+ (Finset.univ.filter (fun u => d ∈ lines u ∧ e ∈ lines u)).card ≤ N₂)
96
+ (hBC : denom * (1 + branchingBound (V := V) (B := Fin R)
97
+ (fun z : H × V => lines z.1) (fun d => L * weight d) denom rootB mass K
98
+ (N₁ * Fintype.card V) (N₂ * Fintype.card V) low) ≤ C)
99
+ (hrow : ∀ y, (∑ x : H, shiftKernel weight lines p K x y) ≤ C)
100
+ (hpair : (∑ x : H, ∑ y : H, shiftKernel weight lines p K x y) ≤ C ^ 2)
101
+ (hDsum : (∑ x : H, independentWeight weight (fun d => L * weight d) lines R J base x) ≤ D₀)
102
+ (hsingle : Real.exp (-(17 / 25 : ℝ) * ((L : ℝ) * R)) *
103
+ (D₀ + 2 * ((Fintype.card V + 1 : ℝ) * C)) ≤ A)
104
+ (Δ : ℕ) (hΔ : ∀ k, Fintype.card {k' : H // overlapRelation weight lines (1 / (100 * p)) k k'} ≤ Δ)
105
+ (hnum : ∀ m : ℕ, 2 ≤ m → m ≤ Fintype.card V →
106
+ Real.exp (-(7 / 10 : ℝ) * ((L : ℝ) * R)) *
107
+ ((m : ℝ) ^ 2 * Fintype.card (RelatedPair (overlapRelation weight lines (1 / (100 * p)))) *
108
+ ((m : ℝ) ^ 2 * Δ) ^ (m - 2)) ≤ A ^ m) :
109
+ (∑ f : V → H, designatedBound weight (lines ∘ f) (1 / (100 * p)) R J K L base) ≤
110
+ (Fintype.card V : ℝ) ^ Fintype.card V * A ^ Fintype.card V := by
111
+ let t : ℝ := 1 / (100 * p)
112
+ let a := Real.exp (-(17 / 25 : ℝ) * ((L : ℝ) * R))
113
+ let b := Real.exp (-(7 / 10 : ℝ) * ((L : ℝ) * R))
114
+ let F (E : Finset V) (f : V → H) := a ^ E.card * vertexExpansion weight lines t R J K L base E f
115
+ have hres (r : V → V) (g : V → H) :
116
+ completionSum (singles r) g (F (singles r)) ≤ A ^ (singles r).card := by
117
+ change completionSum (singles r) g (fun f => a ^ (singles r).card *
118
+ vertexExpansion weight lines t R J K L base (singles r) f) ≤ _
119
+ rw [completionSum_mul]
120
+ apply (mul_le_mul_of_nonneg_left (actual_all_singleton_enumeration weight
121
+ (fun d => L * weight d) lines hp hc R denom rootB mass C D₀ base hd hb hm hC hD
122
+ hmass K J h N₁ N₂ hK hh low hsize herr hN₁ hN₂ hBC hrow hpair hDsum (singles r) g)
123
+ (show 0 ≤ a ^ (singles r).card by dsimp [a]; positivity)).trans
124
+ rw [← mul_pow]
125
+ exact pow_le_pow_left₀ (by positivity) hsingle _
126
+ apply (Finset.sum_le_sum (fun f _ => designated_le_partition weight lines t R J K L base f)).trans
127
+ have ht := graph_partition_sum (V := V) (overlapRelation weight lines t)
128
+ (overlapRelation_symm weight lines t) b A (Real.exp_pos _).le hA Δ hΔ hnum F
129
+ (fun E f => mul_nonneg (pow_nonneg (Real.exp_pos _).le _) (vertexExpansion_nonneg _ _ _ _ _ _ _ _ _ _)) hres
130
+ simpa only [relation_graph_eq] using ht
131
+
132
+ end SharpRamseyFive.AmbientEnumeration
133
+
134
+ namespace SharpRamseyFive.MomentBudgets
135
+ open scoped BigOperators
136
+
137
+ lemma block_cost (P B E Δ : ℝ) (p m : ℕ) (hP : 0 ≤ P) (hB : 0 ≤ B)
138
+ (hE : 0 ≤ E) (hΔ : 0 ≤ Δ) (hm : 2 ≤ m) (hmp : m ≤ p)
139
+ (hp : (p : ℝ) ^ 2 ≤ Real.exp (P / 10))
140
+ (hpair : E ≤ B ^ 2 * Real.exp (P / 10))
141
+ (hdeg : Δ ≤ B * Real.exp (-P)) :
142
+ Real.exp (-(7 / 10 : ℝ) * P) *
143
+ ((m : ℝ) ^ 2 * E * ((m : ℝ) ^ 2 * Δ) ^ (m - 2)) ≤
144
+ (B * Real.exp (-(1 / 5 : ℝ) * P)) ^ m := by
145
+ let A := B * Real.exp (-(1 / 5 : ℝ) * P)
146
+ have hA : 0 ≤ A := mul_nonneg hB (Real.exp_pos _).le
147
+ have hm2 : (m : ℝ) ^ 2 ≤ Real.exp (P / 10) := by
148
+ apply (pow_le_pow_left₀ (by positivity) (show (m : ℝ) ≤ p by exact_mod_cast hmp) 2).trans hp
149
+ have hfirst : Real.exp (-(7 / 10 : ℝ) * P) * ((m : ℝ) ^ 2 * E) ≤ A ^ 2 := by
150
+ calc
151
+ _ ≤ Real.exp (-(7 / 10 : ℝ) * P) * (Real.exp (P / 10) * (B ^ 2 * Real.exp (P / 10))) := by
152
+ exact mul_le_mul_of_nonneg_left (mul_le_mul hm2 hpair hE (Real.exp_pos _).le) (Real.exp_pos _).le
153
+ _ = B ^ 2 * Real.exp (-(1 / 2 : ℝ) * P) := by
154
+ rw [show Real.exp (-(7 / 10 : ℝ) * P) * (Real.exp (P / 10) * (B ^ 2 * Real.exp (P / 10))) =
155
+ B ^ 2 * (Real.exp (-(7 / 10 : ℝ) * P) * Real.exp (P / 10) * Real.exp (P / 10)) by ring]
156
+ rw [← Real.exp_add, ← Real.exp_add]
157
+ congr 2
158
+ ring
159
+ _ ≤ B ^ 2 * Real.exp (-(2 / 5 : ℝ) * P) := by
160
+ exact mul_le_mul_of_nonneg_left (Real.exp_le_exp.mpr (by linarith)) (sq_nonneg B)
161
+ _ = A ^ 2 := by
162
+ dsimp [A]
163
+ rw [mul_pow, ← Real.exp_nat_mul]
164
+ congr 2
165
+ ring
166
+ have hstep : (m : ℝ) ^ 2 * Δ ≤ A := by
167
+ calc
168
+ _ ≤ Real.exp (P / 10) * (B * Real.exp (-P)) :=
169
+ mul_le_mul hm2 hdeg hΔ (Real.exp_pos _).le
170
+ _ = B * Real.exp (-(9 / 10 : ℝ) * P) := by
171
+ rw [show Real.exp (P / 10) * (B * Real.exp (-P)) = B * (Real.exp (P / 10) * Real.exp (-P)) by ring,
172
+ ← Real.exp_add]
173
+ congr 2
174
+ ring
175
+ _ ≤ A := mul_le_mul_of_nonneg_left (Real.exp_le_exp.mpr (by linarith)) hB
176
+ calc
177
+ _ = (Real.exp (-(7 / 10 : ℝ) * P) * ((m : ℝ) ^ 2 * E)) *
178
+ ((m : ℝ) ^ 2 * Δ) ^ (m - 2) := by ring
179
+ _ ≤ A ^ 2 * A ^ (m - 2) := mul_le_mul hfirst
180
+ (pow_le_pow_left₀ (mul_nonneg (sq_nonneg _) hΔ) hstep _) (by positivity) (pow_nonneg hA _)
181
+ _ = A ^ m := by rw [← pow_add, Nat.add_sub_of_le hm]
182
+
183
+ lemma singleton_cost (P B M : ℝ) (hP : 0 ≤ P) (hB : 0 ≤ B)
184
+ (hM : M ≤ B * Real.exp (P / 5)) :
185
+ Real.exp (-(17 / 25 : ℝ) * P) * M ≤ B * Real.exp (-(1 / 5 : ℝ) * P) := by
186
+ calc
187
+ _ ≤ Real.exp (-(17 / 25 : ℝ) * P) * (B * Real.exp (P / 5)) :=
188
+ mul_le_mul_of_nonneg_left hM (Real.exp_pos _).le
189
+ _ = B * Real.exp (-(12 / 25 : ℝ) * P) := by
190
+ rw [show Real.exp (-(17 / 25 : ℝ) * P) * (B * Real.exp (P / 5)) =
191
+ B * (Real.exp (-(17 / 25 : ℝ) * P) * Real.exp (P / 5)) by ring, ← Real.exp_add]
192
+ congr 2
193
+ ring
194
+ _ ≤ _ := mul_le_mul_of_nonneg_left (Real.exp_le_exp.mpr (by linarith)) hB
195
+
196
+ lemma partition_cost (P B : ℝ) (p : ℕ) (hB : 0 ≤ B)
197
+ (hp : (p : ℝ) ≤ Real.exp (P / 10)) :
198
+ (p : ℝ) ^ p * (B * Real.exp (-(1 / 5 : ℝ) * P)) ^ p ≤
199
+ B ^ p * Real.exp (-(1 / 10 : ℝ) * (p * P)) := by
200
+ calc
201
+ _ ≤ Real.exp (P / 10) ^ p * (B * Real.exp (-(1 / 5 : ℝ) * P)) ^ p :=
202
+ mul_le_mul_of_nonneg_right (pow_le_pow_left₀ (by positivity) hp _) (by positivity)
203
+ _ = _ := by
204
+ rw [← mul_pow, show Real.exp (P / 10) * (B * Real.exp (-(1 / 5 : ℝ) * P)) =
205
+ B * (Real.exp (P / 10) * Real.exp (-(1 / 5 : ℝ) * P)) by ring, ← Real.exp_add,
206
+ mul_pow, ← Real.exp_nat_mul]
207
+ congr 2
208
+ ring
209
+
210
+ end SharpRamseyFive.MomentBudgets
211
+
212
+ namespace SharpRamseyFive.AmbientEnumeration
213
+ open MeasureTheory ProbabilityTheory
214
+ open scoped BigOperators NNReal
215
+ open Classical
216
+ open SharpRamseyFive.PoissonScore SharpRamseyFive.TupleComponents
217
+ open SharpRamseyFive.AmbientDesignations SharpRamseyFive.ComponentPartition
218
+ open SharpRamseyFive.ComponentEnumeration SharpRamseyFive.ResidualElimination
219
+ open SharpRamseyFive.SingletonEnumeration SharpRamseyFive.SelectionBridge
220
+ open SharpRamseyFive.WeightedPrograms
221
+ variable {D H : Type} [Fintype D] [DecidableEq D] [Fintype H] [DecidableEq H]
222
+
223
+ theorem ambient_refined_truncated_moment (weight : D → ℝ≥0) (lines : H → Finset D)
224
+ {p : ℕ} (hp : 0 < p) (R : ℕ) (own : H → Fin R → Bool)
225
+ (L : ℝ≥0) (denom rootB mass C D₀ base B : ℝ)
226
+ (hL : 10000 ≤ (L : ℝ)) (hbase : (23 / 25 : ℝ) ≤ base)
227
+ (hlower : ∀ k, (3 / 4 : ℝ) ≤ PoissonScore.mass weight (lines k))
228
+ (hdelta : ∀ k, |PoissonScore.mass weight (lines k) - base| ≤ (17 / 100 : ℝ))
229
+ (hd : 0 < denom) (hb : 1 ≤ rootB) (hm : 0 ≤ mass) (hC : 0 ≤ C)
230
+ (hD : 0 ≤ D₀) (hB : 0 ≤ B)
231
+ (hmass : ∀ u, ∑ d ∈ lines u, ((L * weight d : ℝ≥0) : ℝ) ≤ mass)
232
+ (K J h N₁ N₂ : ℕ) (hK : 2 ≤ K) (hKR : K ≤ R / 2) (hh : 0 < h) (low : Bool)
233
+ (hsize : h ≤ (R / 2 - if low then 0 else J) / (2 * K))
234
+ (herr : (p : ℝ) * h * (19 / 20 : ℝ) ^ (h - 1) < 1 / 2)
235
+ (hN₁ : ∀ d, (Finset.univ.filter (fun u => d ∈ lines u)).card ≤ N₁)
236
+ (hN₂ : ∀ d e, d ≠ e →
237
+ (Finset.univ.filter (fun u => d ∈ lines u ∧ e ∈ lines u)).card ≤ N₂)
238
+ (hBC : denom * (1 + branchingBound (V := Fin p) (B := Fin R)
239
+ (fun z : H × Fin p => lines z.1) (fun d => L * weight d) denom rootB mass K
240
+ (N₁ * p) (N₂ * p) low) ≤ C)
241
+ (hrow : ∀ y, (∑ x : H, shiftKernel weight lines p K x y) ≤ C)
242
+ (hpair : (∑ x : H, ∑ y : H, shiftKernel weight lines p K x y) ≤ C ^ 2)
243
+ (hDsum : (∑ x : H, independentWeight weight (fun d => L * weight d) lines R J base x) ≤ D₀)
244
+ (hcost : D₀ + 2 * ((p + 1 : ℝ) * C) ≤ B * Real.exp (((L : ℝ) * R) / 5))
245
+ (hp2 : (p : ℝ) ^ 2 ≤ Real.exp (((L : ℝ) * R) / 10))
246
+ (Δ : ℕ) (hΔ : ∀ k, Fintype.card {k' : H // overlapRelation weight lines (1 / (100 * p)) k k'} ≤ Δ)
247
+ (hdeg : (Δ : ℝ) ≤ B * Real.exp (-((L : ℝ) * R)))
248
+ (hRelPairs : (Fintype.card (RelatedPair (overlapRelation weight lines (1 / (100 * p)))) : ℝ) ≤
249
+ B ^ 2 * Real.exp (((L : ℝ) * R) / 10)) :
250
+ (∫ ω, HighMoment.allTrunc R J ω *
251
+ (∑ k : H, scoreTerm (lines k) (Real.exp (-(L : ℝ) * base)) (own k)
252
+ (fun r d => ω (r,d))) ^ p
253
+ ∂batchMeasure (fun i : Fin R × D => L * weight i.2)) ≤
254
+ B ^ p * Real.exp (-(1 / 10 : ℝ) * (p * ((L : ℝ) * R))) := by
255
+ have hP : 0 ≤ (L : ℝ) * R := by positivity
256
+ apply (truncated_power_designated weight R J K L base lines own hp hL hbase hlower hdelta hKR).trans
257
+ have hs := designation_sum_enumerated (V := Fin p) weight lines hp (by simp)
258
+ R L denom rootB mass C D₀ base (B * Real.exp (-(1 / 5 : ℝ) * ((L : ℝ) * R))) hd hb hm hC hD
259
+ (by positivity) hmass K J h N₁ N₂ hK hh low hsize
260
+ (by simpa only [Fintype.card_fin] using herr) hN₁ hN₂
261
+ (by simpa only [Fintype.card_fin] using hBC) hrow hpair hDsum
262
+ (by simpa only [Fintype.card_fin] using MomentBudgets.singleton_cost _ B _ hP hB hcost)
263
+ Δ hΔ (fun m hm hmp => MomentBudgets.block_cost _ B _ _ p m hP hB
264
+ (by positivity) (by positivity) hm (by simpa only [Fintype.card_fin] using hmp) hp2 hRelPairs hdeg)
265
+ apply hs.trans
266
+ simp only [Fintype.card_fin]
267
+ apply MomentBudgets.partition_cost _ B p hB
268
+ have hpr : (1 : ℝ) ≤ p := by exact_mod_cast hp
269
+ exact (show (p : ℝ) ≤ (p : ℝ) ^ 2 by nlinarith).trans hp2
270
+
271
+ omit [DecidableEq D] in
272
+
273
+ lemma allTrunc_eq_one {R J : ℕ} (h : R < J) (ω : Fin R × D → ℕ) :
274
+ HighMoment.allTrunc R J ω = 1 := by
275
+ apply Finset.prod_eq_one
276
+ intro d _
277
+ unfold lineTrunc
278
+ apply ite_eq_left
279
+ exact (show (Finset.univ.filter (fun r => ω (r,d) ≠ 0)).card ≤ R by
280
+ simpa only [Finset.card_univ, Fintype.card_fin] using
281
+ Finset.card_le_card (Finset.filter_subset (fun r : Fin R => ω (r,d) ≠ 0) Finset.univ)).trans_lt h
282
+
283
+ theorem ambient_untruncated_moment (weight : D → ℝ≥0) (lines : H → Finset D)
284
+ {p : ℕ} (hp : 0 < p) (R : ℕ) (own : H → Fin R → Bool)
285
+ (L : ℝ≥0) (denom rootB mass C D₀ base B : ℝ)
286
+ (hL : 10000 ≤ (L : ℝ)) (hbase : (23 / 25 : ℝ) ≤ base)
287
+ (hlower : ∀ k, (3 / 4 : ℝ) ≤ PoissonScore.mass weight (lines k))
288
+ (hdelta : ∀ k, |PoissonScore.mass weight (lines k) - base| ≤ (17 / 100 : ℝ))
289
+ (hd : 0 < denom) (hb : 1 ≤ rootB) (hm : 0 ≤ mass) (hC : 0 ≤ C)
290
+ (hD : 0 ≤ D₀) (hB : 0 ≤ B)
291
+ (hmass : ∀ u, ∑ d ∈ lines u, ((L * weight d : ℝ≥0) : ℝ) ≤ mass)
292
+ (K h N₁ N₂ : ℕ) (hK : 2 ≤ K) (hKR : K ≤ R / 2) (hh : 0 < h)
293
+ (hsize : h ≤ (R / 2) / (2 * K))
294
+ (herr : (p : ℝ) * h * (19 / 20 : ℝ) ^ (h - 1) < 1 / 2)
295
+ (hN₁ : ∀ d, (Finset.univ.filter (fun u => d ∈ lines u)).card ≤ N₁)
296
+ (hN₂ : ∀ d e, d ≠ e →
297
+ (Finset.univ.filter (fun u => d ∈ lines u ∧ e ∈ lines u)).card ≤ N₂)
298
+ (hBC : denom * (1 + branchingBound (V := Fin p) (B := Fin R)
299
+ (fun z : H × Fin p => lines z.1) (fun d => L * weight d) denom rootB mass K
300
+ (N₁ * p) (N₂ * p) true) ≤ C)
301
+ (hrow : ∀ y, (∑ x : H, shiftKernel weight lines p K x y) ≤ C)
302
+ (hpair : (∑ x : H, ∑ y : H, shiftKernel weight lines p K x y) ≤ C ^ 2)
303
+ (hDsum : (∑ x : H, |PoissonScore.mass weight (lines x) - base| ^ (R / 2)) ≤ D₀)
304
+ (hcost : D₀ + 2 * ((p + 1 : ℝ) * C) ≤ B * Real.exp (((L : ℝ) * R) / 5))
305
+ (hp2 : (p : ℝ) ^ 2 ≤ Real.exp (((L : ℝ) * R) / 10))
306
+ (Δ : ℕ) (hΔ : ∀ k, Fintype.card {k' : H // overlapRelation weight lines (1 / (100 * p)) k k'} ≤ Δ)
307
+ (hdeg : (Δ : ℝ) ≤ B * Real.exp (-((L : ℝ) * R)))
308
+ (hRelPairs : (Fintype.card (RelatedPair (overlapRelation weight lines (1 / (100 * p)))) : ℝ) ≤
309
+ B ^ 2 * Real.exp (((L : ℝ) * R) / 10)) :
310
+ (∫ ω, (∑ k : H, scoreTerm (lines k) (Real.exp (-(L : ℝ) * base)) (own k)
311
+ (fun r d => ω (r,d))) ^ p
312
+ ∂batchMeasure (fun i : Fin R × D => L * weight i.2)) ≤
313
+ B ^ p * Real.exp (-(1 / 10 : ℝ) * (p * ((L : ℝ) * R))) := by
314
+ have hs := ambient_refined_truncated_moment weight lines hp R own L denom rootB mass C D₀ base B
315
+ hL hbase hlower hdelta hd hb hm hC hD hB hmass K (R+1) h N₁ N₂ hK hKR hh true
316
+ (by simpa using hsize) herr hN₁ hN₂ hBC hrow hpair
317
+ (by simpa only [independentWeight, Nat.lt_succ_self, ite_true, add_zero] using hDsum)
318
+ hcost hp2 Δ hΔ hdeg hRelPairs
319
+ simpa only [allTrunc_eq_one (Nat.lt_succ_self R), one_mul] using hs
320
+
321
+ end SharpRamseyFive.AmbientEnumeration
322
+
323
+ namespace SharpLogRamsey.MomentBudgetBridge
324
+
325
+ def anchorBudget (p : ℕ) (P : ℝ) : ℝ := 200 * (p : ℝ) + 2 * P
326
+
327
+ def certificateOverhead (p D : ℕ) (P : ℝ) : ℝ :=
328
+ 1 + 4 * (p : ℝ)^2 + 4 * (p : ℝ)^3 * anchorBudget p P +
329
+ (p : ℝ)^4 * (anchorBudget p P)^2 +
330
+ (p : ℝ)^4 * ((D : ℝ)+4) * (2*P)^200
331
+
332
+ lemma anchorBudget_nonneg (p : ℕ) {P : ℝ} (hP : 0 ≤ P) :
333
+ 0 ≤ anchorBudget p P := by
334
+ unfold anchorBudget
335
+ positivity
336
+
337
+ lemma certificateOverhead_nonneg (p D : ℕ) {P : ℝ} (hP : 0 ≤ P) :
338
+ 0 ≤ certificateOverhead p D P := by
339
+ have hA := anchorBudget_nonneg p hP
340
+ unfold certificateOverhead
341
+ positivity
342
+
343
+ theorem labelled_branching_bound (p D : ℕ) (P B H N M : ℝ)
344
+ (hP : 0 ≤ P) (hB : 1 ≤ B) (hH : H ≤ 4*B^2) (hN : N ≤ 4*B)
345
+ (hM : M ≤ (p : ℝ)^2 * (B^2 * Real.exp (P/50) * ((D : ℝ)+4) * (2*P)^200)) :
346
+ 1 + (((p : ℝ)*(H*p)/B)/B^8 +
347
+ (p : ℝ)^2*(N*p)*anchorBudget p P/B +
348
+ ((p : ℝ)^3*p*(anchorBudget p P)^2/B)*B +
349
+ (p : ℝ)^2*M/B^2) ≤ Real.exp (P/50)*certificateOverhead p D P := by
350
+ have hB0 : 0 < B := lt_of_lt_of_le zero_lt_one hB
351
+ have hp : (0 : ℝ) ≤ p := Nat.cast_nonneg p
352
+ have hA := anchorBudget_nonneg p hP
353
+ have he : 1 ≤ Real.exp (P/50) := Real.one_le_exp_iff.mpr (by positivity)
354
+ have hroot : ((p : ℝ)*(H*p)/B)/B^8 ≤ 4*(p : ℝ)^2 := by
355
+ apply (div_le_iff₀ (pow_pos hB0 8)).mpr
356
+ apply (div_le_iff₀ hB0).mpr
357
+ have hpow : B^2 ≤ B^9 := pow_le_pow_right₀ hB (by decide)
358
+ calc
359
+ (p : ℝ)*(H*p) ≤ (p : ℝ)*(4*B^2*p) :=
360
+ mul_le_mul_of_nonneg_left (mul_le_mul_of_nonneg_right hH hp) hp
361
+ _ = 4*(p : ℝ)^2*B^2 := by ring
362
+ _ ≤ 4*(p : ℝ)^2*B^9 := mul_le_mul_of_nonneg_left hpow (by positivity)
363
+ _ = 4*(p : ℝ)^2*B^8*B := by ring
364
+ have hanchor : (p : ℝ)^2*(N*p)*anchorBudget p P/B ≤
365
+ 4*(p : ℝ)^3*anchorBudget p P := by
366
+ apply (div_le_iff₀ hB0).mpr
367
+ calc
368
+ _ ≤ (p : ℝ)^2*(4*B*p)*anchorBudget p P := by
369
+ exact mul_le_mul_of_nonneg_right
370
+ (mul_le_mul_of_nonneg_left (mul_le_mul_of_nonneg_right hN hp) (by positivity)) hA
371
+ _ = _ := by ring
372
+ have htwo : ((p : ℝ)^3*p*(anchorBudget p P)^2/B)*B =
373
+ (p : ℝ)^4*(anchorBudget p P)^2 := by
374
+ rw [div_mul_cancel₀ _ hB0.ne']
375
+ ring
376
+ have hpair : (p : ℝ)^2*M/B^2 ≤
377
+ Real.exp (P/50)*((p : ℝ)^4*((D : ℝ)+4)*(2*P)^200) := by
378
+ apply (div_le_iff₀ (pow_pos hB0 2)).mpr
379
+ calc
380
+ _ ≤ (p : ℝ)^2*((p : ℝ)^2*(B^2*Real.exp (P/50)*((D : ℝ)+4)*(2*P)^200)) :=
381
+ mul_le_mul_of_nonneg_left hM (by positivity)
382
+ _ = _ := by ring
383
+ have hplain : 1 + 4*(p : ℝ)^2 + 4*(p : ℝ)^3*anchorBudget p P +
384
+ (p : ℝ)^4*(anchorBudget p P)^2 ≤
385
+ Real.exp (P/50)*(1 + 4*(p : ℝ)^2 + 4*(p : ℝ)^3*anchorBudget p P +
386
+ (p : ℝ)^4*(anchorBudget p P)^2) := by
387
+ exact le_mul_of_one_le_left (by positivity) he
388
+ unfold certificateOverhead
389
+ rw [htwo]
390
+ nlinarith only [hroot, hanchor, hpair, hplain]
391
+
392
+ theorem absorb_certificate (p D : ℕ) (P : ℝ)
393
+ (h : certificateOverhead p D P ≤ Real.exp (2*P/25)) :
394
+ Real.exp (P/50)*certificateOverhead p D P ≤ Real.exp (P/10) := by
395
+ calc
396
+ _ ≤ Real.exp (P/50)*Real.exp (2*P/25) :=
397
+ mul_le_mul_of_nonneg_left h (Real.exp_pos _).le
398
+ _ = _ := by rw [← Real.exp_add]; congr 1; ring
399
+
400
+ theorem singleton_budget (p : ℕ) (B P : ℝ) (hB : 0 ≤ B) (hP : 0 ≤ P)
401
+ (hp : 2*(p : ℝ)+3 ≤ Real.exp (P/10)) :
402
+ B*Real.exp (P/100) + 2*((p+1 : ℝ)*(B*Real.exp (P/10))) ≤
403
+ B*Real.exp (P/5) := by
404
+ have he : Real.exp (P/100) ≤ Real.exp (P/10) := Real.exp_le_exp.mpr (by linarith)
405
+ calc
406
+ _ ≤ B*Real.exp (P/10)+2*((p+1 : ℝ)*(B*Real.exp (P/10))) := by
407
+ linarith only [mul_le_mul_of_nonneg_left he hB]
408
+ _ = (B*Real.exp (P/10))*(2*(p : ℝ)+3) := by ring
409
+ _ ≤ (B*Real.exp (P/10))*Real.exp (P/10) :=
410
+ mul_le_mul_of_nonneg_left hp (mul_nonneg hB (Real.exp_pos _).le)
411
+ _ = _ := by rw [mul_assoc, ← Real.exp_add]; congr 2; ring
412
+
413
+ def shiftOverhead (p D : ℕ) : ℝ := 4+(D : ℝ)*(200*(p : ℝ))^200
414
+
415
+ lemma shifted_dyadic_budget (p D : ℕ) (P C : ℝ) (hP : 0 ≤ P) (hC : 0 ≤ C)
416
+ (hpoly : shiftOverhead p D ≤ Real.exp (2*P/25)) :
417
+ 4*C+(D : ℝ)*C*Real.exp (P/50)*(2*(p : ℝ))^200 ≤ C*Real.exp (P/10) := by
418
+ have he : 1 ≤ Real.exp (P/50) := Real.one_le_exp_iff.mpr (by positivity)
419
+ have hp : (2*(p : ℝ))^200 ≤ (200*(p : ℝ))^200 :=
420
+ pow_le_pow_left₀ (by positivity) (by have := (Nat.cast_nonneg p : (0 : ℝ) ≤ p); linarith) _
421
+ have heC : 4*C ≤ 4*C*Real.exp (P/50) := le_mul_of_one_le_right (by positivity) he
422
+ have hpow := mul_le_mul_of_nonneg_left hp
423
+ (show 0 ≤ (D : ℝ)*C*Real.exp (P/50) by positivity)
424
+ calc
425
+ _ ≤ C*Real.exp (P/50)*shiftOverhead p D := by
426
+ unfold shiftOverhead
427
+ nlinarith only [heC, hpow]
428
+ _ ≤ C*Real.exp (P/50)*Real.exp (2*P/25) :=
429
+ mul_le_mul_of_nonneg_left hpoly (by positivity)
430
+ _ = _ := by rw [mul_assoc, ← Real.exp_add]; congr 2; ring
431
+
432
+ lemma strong_dyadic_budget (p D : ℕ) (P C : ℝ) (hP : 0 ≤ P) (hC : 0 ≤ C)
433
+ (hpoly : shiftOverhead p D ≤ Real.exp (2*P/25)) :
434
+ 4*C+(D : ℝ)*C*Real.exp (P/50)*(200*(p : ℝ))^200 ≤ C*Real.exp (P/10) := by
435
+ have he : 1 ≤ Real.exp (P/50) := Real.one_le_exp_iff.mpr (by positivity)
436
+ have heC : 4*C ≤ 4*C*Real.exp (P/50) := le_mul_of_one_le_right (by positivity) he
437
+ calc
438
+ _ ≤ C*Real.exp (P/50)*shiftOverhead p D := by
439
+ unfold shiftOverhead
440
+ nlinarith only [heC]
441
+ _ ≤ C*Real.exp (P/50)*Real.exp (2*P/25) :=
442
+ mul_le_mul_of_nonneg_left hpoly (by positivity)
443
+ _ = _ := by rw [mul_assoc, ← Real.exp_add]; congr 2; ring
444
+
445
+ end SharpLogRamsey.MomentBudgetBridge
446
+ end
447
+
448
+ end OAI
lean/OAI/Combinatorics/SharpRamsey/Entropy/MakePair.lean ADDED
@@ -0,0 +1,470 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ import Mathlib
2
+ import OAI.Combinatorics.SharpRamsey.Entropy.AnchorEventsRealized
3
+
4
+ namespace OAI
5
+
6
+ /-! High moments, finite-field subspaces, and incidence bounds. -/
7
+
8
+ section
9
+ open MeasureTheory ProbabilityTheory
10
+ open scoped BigOperators NNReal
11
+ open MeasureTheory ProbabilityTheory
12
+ open scoped BigOperators NNReal
13
+ open scoped BigOperators
14
+ open MeasureTheory ProbabilityTheory
15
+ open scoped BigOperators ENNReal NNReal
16
+ namespace SharpRamseyFive.CertificateCover
17
+ open SharpRamseyFive.StaticCertificates
18
+ open SharpRamseyFive.CertificateEnumeration
19
+ open SharpRamseyFive.WeightedPrograms
20
+ open SharpRamseyFive.ResidualCertificate
21
+ open scoped BigOperators
22
+ variable {V H D B : Type*} [Fintype V] [DecidableEq V]
23
+ [Fintype H] [DecidableEq H] [Fintype D] [DecidableEq D]
24
+ [Fintype B] [DecidableEq B]
25
+ variable (lines : H → Finset D)
26
+ omit [Fintype V] [Fintype H] [DecidableEq H] [Fintype D] in
27
+ lemma make_pair (f : V → H) (hf : Function.Injective f) (hit : B → D → Prop)
28
+ (K : ℕ) (hK : 2 ≤ K) (low : Bool) (E : Finset V) (s : State V H D B)
29
+ (hs : Coherent lines f hit K E s) (v u : V) (hv : v ∉ E) (hu : u ∉ E) (hne : v ≠ u)
30
+ (hp : K ≤ (sharedBatches (outsideDirections (fun v => lines (f v)) E) hit v u).card) :
31
+ ∃ a : Action lines K s,
32
+ Coherent lines f hit K (insert v (insert u E)) (advance lines K s a) ∧
33
+ (insert v (insert u E)).card = E.card + degree lines K s a ∧
34
+ Enabled lines K low s a ∧ actionCharge lines K s a = 0 := by
35
+ classical
36
+ obtain ⟨T, d, hT, hd, _, _, _, _⟩ :=
37
+ pair_step_witnesses (fun v => lines (f v)) hit E s.2 v u K hs.2.1 hs.2.2.1 hp
38
+ have hmem (r : T) : d r ∈ PairDirections lines s (f v) (f u) := by
39
+ apply Finset.mem_sdiff.mpr
40
+ refine ⟨(hd r).1, ?_⟩
41
+ intro hc
42
+ exact (hd r).2.1 (hs.2.1 hc)
43
+ let c : PairChoice lines K s := ⟨v, u, f v, ⟨f u, fun he => hne (hf he.symm)⟩,
44
+ ⟨T, Finset.mem_powersetCard.mpr ⟨Finset.subset_univ _, hT⟩⟩, fun r => ⟨d r, hmem r⟩⟩
45
+ let a : Action lines K s := .inr (.inr (.inr c))
46
+ have hv' : v ∉ insert u E := by simp [hne, hv]
47
+ have hc : (insert v (insert u E)).card = E.card + degree lines K s a := by
48
+ simp [a, degree, Finset.card_insert_of_notMem hv', Finset.card_insert_of_notMem hu,
49
+ Nat.add_assoc]
50
+ refine ⟨a, ?_, hc, ?_, rfl⟩
51
+ · apply coherent_step lines f hit K hK E (insert v (insert u E)) s hs a
52
+ ((Finset.subset_insert _ _).trans (Finset.subset_insert _ _)) _ _ _ hc
53
+ · have hu' := agrees_update f (insert v E)
54
+ (Function.update s.1 v (f v), s.2) (agrees_update f E s hs.1 v s.2) u
55
+ (advance lines K s a).2
56
+ simpa only [a, c, advance, newValues, Finset.insert_comm] using hu'
57
+ · intro z hz
58
+ obtain ⟨p, hp, rfl⟩ := Finset.mem_image.mp hz
59
+ obtain ⟨r, _, rfl⟩ := Finset.mem_image.mp hp
60
+ exact Finset.mem_biUnion.mpr ⟨v, Finset.mem_insert_self _ _, (Finset.mem_inter.mp (hd r).1).1⟩
61
+ · intro p hp
62
+ obtain ⟨r, _, rfl⟩ := Finset.mem_image.mp hp
63
+ exact (hd r).2.2
64
+ · intro c' he
65
+ simp [a] at he
66
+ omit [Fintype V] [Fintype H] [DecidableEq H] in
67
+ omit [Fintype D] in
68
+
69
+ lemma make_root (f : V → H) (hit : B → D → Prop) (K : ℕ) (hK : 2 ≤ K)
70
+ (low : Bool) (E : Finset V) (s : State V H D B) (hs : Coherent lines f hit K E s)
71
+ (v : V) (hv : v ∉ E) :
72
+ ∃ a : Action lines K s, Coherent lines f hit K (insert v E) (advance lines K s a) ∧
73
+ (insert v E).card = E.card + degree lines K s a ∧
74
+ Enabled lines K low s a ∧ actionCharge lines K s a = -8 := by
75
+ let a : Action lines K s := .inl (v, f v)
76
+ have hc : (insert v E).card = E.card + degree lines K s a := by
77
+ simp [a, degree, Finset.card_insert_of_notMem hv]
78
+ refine ⟨a, ?_, hc, ?_, rfl⟩
79
+ · apply coherent_step lines f hit K hK E (insert v E) s hs a
80
+ (Finset.subset_insert _ _) (agrees_update f E s hs.1 v _) _ _ hc
81
+ · simp [a, newEvents, paidDirections]
82
+ · simp [a, newEvents, Realized]
83
+ · intro c' he
84
+ simp [a] at he
85
+
86
+ abbrev Word (K : ℕ) := DWord (Action (V := V) (B := B) lines K) (advance lines K)
87
+ abbrev finish (K : ℕ) {n : ℕ} (s : State V H D B) (w : Word lines K n s) :=
88
+ dFinish (Action lines K) (advance lines K) s w
89
+ abbrev charge (K : ℕ) {n : ℕ} (s : State V H D B) (w : Word lines K n s) :=
90
+ dCharge (Action lines K) (advance lines K) (actionCharge lines K) s w
91
+
92
+ def degreeSum (K : ℕ) : {n : ℕ} → (s : State V H D B) → Word lines K n s → ℕ
93
+ | 0, _, _ => 0
94
+ | _ + 1, s, w => degree lines K s w.1 + degreeSum K (advance lines K s w.1) w.2
95
+
96
+ def TraceOK (K : ℕ) (low : Bool) :
97
+ {n : ℕ} → (s : State V H D B) → Word lines K n s → Prop
98
+ | 0, _, _ => True
99
+ | _ + 1, s, w => s.2.card ≤ K * Fintype.card V ∧
100
+ Enabled lines K low s w.1 ∧ TraceOK K low (advance lines K s w.1) w.2
101
+
102
+ def append (K : ℕ) {m : ℕ} : {n : ℕ} → (s : State V H D B) →
103
+ (w : Word lines K n s) → Word lines K m (finish lines K s w) → Word lines K (m + n) s
104
+ | 0, _, _, w' => w'
105
+ | _ + 1, s, w, w' => ⟨w.1, append K (advance lines K s w.1) w.2 w'⟩
106
+
107
+ omit [Fintype V] [Fintype H] [DecidableEq H] [Fintype D] in
108
+ lemma finish_append (K : ℕ) {m n : ℕ} (s : State V H D B)
109
+ (w : Word lines K n s) (w' : Word lines K m (finish lines K s w)) :
110
+ finish lines K s (append lines K s w w') = finish lines K (finish lines K s w) w' := by
111
+ induction n generalizing s with
112
+ | zero => rfl
113
+ | succ n ih => exact ih _ w.2 w'
114
+
115
+ omit [Fintype V] [Fintype H] [DecidableEq H] [Fintype D] in
116
+ lemma degreeSum_append (K : ℕ) {m n : ℕ} (s : State V H D B)
117
+ (w : Word lines K n s) (w' : Word lines K m (finish lines K s w)) :
118
+ degreeSum lines K s (append lines K s w w') =
119
+ degreeSum lines K s w + degreeSum lines K (finish lines K s w) w' := by
120
+ induction n generalizing s with
121
+ | zero => simp only [append, degreeSum, finish, dFinish, Nat.zero_add]
122
+ | succ n ih =>
123
+ simpa only [append, degreeSum, finish, dFinish, Nat.add_assoc] using
124
+ congrArg (fun t => degree lines K s w.1 + t) (ih (advance lines K s w.1) w.2 w')
125
+
126
+ omit [Fintype V] [Fintype H] [DecidableEq H] [Fintype D] in
127
+ lemma charge_append (K : ℕ) {m n : ℕ} (s : State V H D B)
128
+ (w : Word lines K n s) (w' : Word lines K m (finish lines K s w)) :
129
+ charge lines K s (append lines K s w w') =
130
+ charge lines K s w + charge lines K (finish lines K s w) w' := by
131
+ induction n generalizing s with
132
+ | zero => simp only [append, charge, dCharge, finish, dFinish, zero_add]
133
+ | succ n ih =>
134
+ simpa only [append, charge, dCharge, finish, dFinish, add_assoc] using
135
+ congrArg (fun t => actionCharge lines K s w.1 + t) (ih (advance lines K s w.1) w.2 w')
136
+
137
+ omit [Fintype H] [DecidableEq H] [Fintype D] in
138
+ lemma traceOK_append (K : ℕ) (low : Bool) {m n : ℕ} (s : State V H D B)
139
+ (w : Word lines K n s) (w' : Word lines K m (finish lines K s w))
140
+ (h : TraceOK lines K low s w) (h' : TraceOK lines K low (finish lines K s w) w') :
141
+ TraceOK lines K low s (append lines K s w w') := by
142
+ induction n generalizing s with
143
+ | zero => exact h'
144
+ | succ n ih => exact ⟨h.1, h.2.1, ih _ w.2 w' h.2.2 h'⟩
145
+
146
+ omit [Fintype V] [DecidableEq V] [Fintype H] [DecidableEq H] [Fintype D] [DecidableEq B] in
147
+ lemma one_le_degree (K : ℕ) (s : State V H D B) (a : Action lines K s) :
148
+ 1 ≤ degree lines K s a := by
149
+ rcases a with a | a
150
+ · exact le_rfl
151
+ rcases a with a | a
152
+ · exact le_rfl
153
+ rcases a with a | a
154
+ · exact le_rfl
155
+ · norm_num [degree]
156
+ omit [Fintype V] [Fintype H] [DecidableEq H] [Fintype D] in
157
+
158
+ lemma length_le_degreeSum (K : ℕ) {n : ℕ} (s : State V H D B) (w : Word lines K n s) :
159
+ n ≤ degreeSum lines K s w := by
160
+ induction n generalizing s with
161
+ | zero => exact le_rfl
162
+ | succ n ih =>
163
+ have h1 := one_le_degree lines K s w.1
164
+ have h2 := ih _ w.2
165
+ change n + 1 ≤ _ + _
166
+ omega
167
+ omit [Fintype H] [DecidableEq H] in
168
+ omit [Fintype D] in
169
+
170
+ lemma trace_weight (rate : D → ℝ≥0) (denom : ℝ) (hd : denom ≠ 0)
171
+ (K : ℕ) (low : Bool) {n : ℕ} (s : State V H D B) (w : Word lines K n s)
172
+ (hw : TraceOK lines K low s w) :
173
+ weight (fun p : B × D => rate p.2) (finish lines K s w).2 =
174
+ weight (fun p : B × D => rate p.2) s.2 *
175
+ dWeight (Action lines K) (advance lines K) (programCost lines rate denom K low) s w *
176
+ denom ^ degreeSum lines K s w := by
177
+ induction n generalizing s with
178
+ | zero => simp [finish, dFinish, dWeight, degreeSum]
179
+ | succ n ih =>
180
+ change weight _ (finish lines K (advance lines K s w.1) w.2).2 = _
181
+ rw [ih _ w.2 hw.2.2, step_weight lines rate denom hd K low s w.1 hw.2.1 hw.1]
182
+ simp only [dWeight, degreeSum, pow_add]
183
+ ring
184
+
185
+ def Segment (f : V → H) (hit : B → D → Prop) (K : ℕ) (low : Bool)
186
+ (E F : Finset V) (s : State V H D B) {n : ℕ} (w : Word lines K n s) : Prop :=
187
+ Coherent lines f hit K F (finish lines K s w) ∧
188
+ F.card = E.card + degreeSum lines K s w ∧ TraceOK lines K low s w
189
+
190
+ omit [Fintype H] [DecidableEq H] [Fintype D] in
191
+ lemma segment_empty (f : V → H) (hit : B → D → Prop) (K : ℕ) (low : Bool)
192
+ (E : Finset V) (s : State V H D B) (hs : Coherent lines f hit K E s) :
193
+ Segment lines f hit K low E E s (n := 0) (PUnit.unit : Word lines K 0 s) := by
194
+ exact ⟨hs, by simp [degreeSum], trivial⟩
195
+
196
+ omit [Fintype H] [DecidableEq H] [Fintype D] in
197
+ lemma segment_single (f : V → H) (hit : B → D → Prop) (K : ℕ) (low : Bool)
198
+ (E F : Finset V) (s : State V H D B) (hs : Coherent lines f hit K E s)
199
+ (a : Action lines K s) (hf : Coherent lines f hit K F (advance lines K s a))
200
+ (hc : F.card = E.card + degree lines K s a) (he : Enabled lines K low s a) :
201
+ Segment lines f hit K low E F s (n := 1) (⟨a, PUnit.unit⟩ : Word lines K 1 s) := by
202
+ refine ⟨hf, ?_, ?_⟩
203
+ · simpa [degreeSum] using hc
204
+ · exact ⟨hs.2.2.2.trans (Nat.mul_le_mul_left K (Finset.card_le_univ E)), he, trivial⟩
205
+ omit [Fintype H] [DecidableEq H] [Fintype D] in
206
+
207
+ lemma segment_append (f : V → H) (hit : B → D → Prop) (K : ℕ) (low : Bool)
208
+ (E F G : Finset V) {m n : ℕ} (s : State V H D B)
209
+ (w : Word lines K n s) (w' : Word lines K m (finish lines K s w))
210
+ (h : Segment lines f hit K low E F s w)
211
+ (h' : Segment lines f hit K low F G (finish lines K s w) w') :
212
+ Segment lines f hit K low E G s (append lines K s w w') := by
213
+ refine ⟨?_, ?_, traceOK_append lines K low s w w' h.2.2 h'.2.2⟩
214
+ · rw [finish_append]; exact h'.1
215
+ · rw [degreeSum_append, ← Nat.add_assoc, ← h.2.1]
216
+ exact h'.2.1
217
+ omit [Fintype V] [Fintype H] [DecidableEq H] in
218
+ omit [Fintype D] in
219
+
220
+ lemma make_encoding (f : V → H) (hf : Function.Injective f) (hit : B → D → Prop)
221
+ (K : ℕ) (hK : 2 ≤ K) (low : Bool) {E F : Finset V}
222
+ (h : EncodingStep (fun v => lines (f v)) hit (if low then 1 else 2) K E F)
223
+ (s : State V H D B) (hs : Coherent lines f hit K E s) :
224
+ ∃ a : Action lines K s, Coherent lines f hit K F (advance lines K s a) ∧
225
+ F.card = E.card + degree lines K s a ∧ Enabled lines K low s a ∧
226
+ 0 ≤ actionCharge lines K s a := by
227
+ cases h with
228
+ | anchor v hv ha =>
229
+ cases low with
230
+ | false =>
231
+ obtain ⟨a, hh, hc, he, hq⟩ := make_two lines f hit K hK false E s hs v hv ha
232
+ exact ⟨a, hh, hc, he, by omega⟩
233
+ | true =>
234
+ obtain ⟨a, hh, hc, he, hq⟩ := make_one lines f hit K hK E s hs v hv ha
235
+ exact ⟨a, hh, hc, he, by omega⟩
236
+ | pair v u hv hu hne hp =>
237
+ obtain ⟨a, hh, hc, he, hq⟩ := make_pair lines f hf hit K hK low E s hs v u hv hu hne hp
238
+ exact ⟨a, hh, hc, he, by omega⟩
239
+
240
+ omit [Fintype H] [DecidableEq H] in
241
+ omit [Fintype D] in
242
+
243
+ theorem encoding_path_program (f : V → H) (hf : Function.Injective f)
244
+ (hit : B → D → Prop) (K : ℕ) (hK : 2 ≤ K) (low : Bool) {E F : Finset V}
245
+ (h : Relation.ReflTransGen (EncodingStep (fun v => lines (f v)) hit
246
+ (if low then 1 else 2) K) E F)
247
+ (s : State V H D B) (hs : Coherent lines f hit K E s) :
248
+ ∃ n, ∃ w : Word lines K n s, Segment lines f hit K low E F s w ∧
249
+ 0 ≤ charge lines K s w := by
250
+ induction h with
251
+ | refl => exact ⟨0, PUnit.unit, segment_empty lines f hit K low E s hs, le_rfl⟩
252
+ | @tail F G h hFG ih =>
253
+ obtain ⟨n, w, hw, hq⟩ := ih
254
+ obtain ⟨a, ha, hc, he, hqa⟩ := make_encoding lines f hf hit K hK low hFG
255
+ (finish lines K s w) hw.1
256
+ let w' : Word lines K 1 (finish lines K s w) := ⟨a, PUnit.unit⟩
257
+ refine ⟨1 + n, append lines K s w w', ?_, ?_⟩
258
+ · exact segment_append lines f hit K low E F G s w w' hw
259
+ (segment_single lines f hit K low F G _ hw.1 a ha hc he)
260
+ · rw [charge_append]
261
+ exact add_nonneg hq (by simpa [w', charge, dCharge] using hqa)
262
+
263
+ omit [Fintype H] [DecidableEq H] [Fintype D] in
264
+
265
+ lemma encode_set (f : V → H) (hit : B → D → Prop) (K : ℕ) (low : Bool)
266
+ (E R : Finset V) (s : State V H D B) (hs : Coherent lines f hit K E s) (c : ℤ)
267
+ (hdis : Disjoint E R)
268
+ (hmake : ∀ F : Finset V, E ⊆ F → ∀ s' : State V H D B,
269
+ Coherent lines f hit K F s' → ∀ v ∈ R, v ∉ F →
270
+ ∃ a : Action lines K s', Coherent lines f hit K (insert v F) (advance lines K s' a) ∧
271
+ (insert v F).card = F.card + degree lines K s' a ∧
272
+ Enabled lines K low s' a ∧ actionCharge lines K s' a = c) :
273
+ ∃ n, ∃ w : Word lines K n s, Segment lines f hit K low E (E ∪ R) s w ∧
274
+ charge lines K s w = c * R.card := by
275
+ classical
276
+ induction R using Finset.induction with
277
+ | empty =>
278
+ refine ⟨0, PUnit.unit, ?_, ?_⟩
279
+ · simpa using segment_empty lines f hit K low E s hs
280
+ · simp [charge, dCharge]
281
+ | @insert v R hvR ih =>
282
+ have hdis' : Disjoint E R := hdis.mono_right (Finset.subset_insert _ _)
283
+ obtain ⟨n, w, hw, hq⟩ := ih hdis' (by
284
+ intro F hEF s' hs' u hu hfu
285
+ exact hmake F hEF s' hs' u (Finset.mem_insert_of_mem hu) hfu)
286
+ have hvE : v ∉ E := fun hvE => Finset.disjoint_left.mp hdis hvE (Finset.mem_insert_self _ _)
287
+ have hvF : v ∉ E ∪ R := by simp [hvE, hvR]
288
+ obtain ⟨a, ha, hc, he, hqa⟩ := hmake (E ∪ R) Finset.subset_union_left
289
+ (finish lines K s w) hw.1 v (Finset.mem_insert_self _ _) hvF
290
+ let w' : Word lines K 1 (finish lines K s w) := ⟨a, PUnit.unit⟩
291
+ refine ⟨1 + n, append lines K s w w', ?_, ?_⟩
292
+ · have hh := segment_append lines f hit K low E (E ∪ R) (insert v (E ∪ R)) s w w' hw
293
+ (segment_single lines f hit K low (E ∪ R) _ _ hw.1 a ha hc he)
294
+ simpa only [Finset.union_insert] using hh
295
+ · rw [charge_append, hq]
296
+ change c * (R.card : ℤ) + (actionCharge lines K _ a + 0) = _
297
+ rw [hqa, Finset.card_insert_of_notMem hvR, Nat.cast_add, Nat.cast_one]
298
+ ring
299
+ omit [Fintype H] [DecidableEq H] in
300
+ omit [Fintype D] in
301
+
302
+ lemma residual_program (f : V → H) (hit : B → D → Prop) (K : ℕ) (hK : 2 ≤ K)
303
+ (low : Bool) (F : Finset V) (s : State V H D B) (hs : Coherent lines f hit K F s)
304
+ (roots : Finset {v // v ∉ F})
305
+ (hsize : 10 * roots.card ≤ Fintype.card {v // v ∉ F})
306
+ (hroot : ∀ v, ∃ u ∈ roots, ∃ w ∈ roots, u ≠ w ∧ u ≠ v ∧ w ≠ v ∧
307
+ ∃ d ∈ survivingDirections (fun v => lines (f v)) F v ∩
308
+ survivingDirections (fun v => lines (f v)) F u,
309
+ ∃ e ∈ survivingDirections (fun v => lines (f v)) F v ∩
310
+ survivingDirections (fun v => lines (f v)) F w,
311
+ d ≠ e ∧ (∃ r, hit r d) ∧ (∃ r, hit r e)) :
312
+ ∃ n, ∃ w : Word lines K n s, Segment lines f hit K low F Finset.univ s w ∧
313
+ 0 ≤ charge lines K s w := by
314
+ classical
315
+ let R : Finset V := roots.image Subtype.val
316
+ have hRc : R.card = roots.card := by
317
+ dsimp [R]
318
+ apply Finset.card_image_of_injective
319
+ exact Subtype.val_injective
320
+ have hdis : Disjoint F R := by
321
+ apply Finset.disjoint_left.mpr
322
+ intro v hv hR
323
+ obtain ⟨u, _, rfl⟩ := Finset.mem_image.mp hR
324
+ exact u.property hv
325
+ obtain ⟨n, w, hw, hq⟩ := encode_set lines f hit K low F R s hs (-8) hdis (by
326
+ intro G hFG s' hs' v hv hvg
327
+ exact make_root lines f hit K hK low G s' hs' v hvg)
328
+ let NR : Finset V := Finset.univ \ (F ∪ R)
329
+ have hdisNR : Disjoint (F ∪ R) NR := Finset.disjoint_sdiff
330
+ have hmake : ∀ G : Finset V, F ∪ R ⊆ G → ∀ s' : State V H D B,
331
+ Coherent lines f hit K G s' → ∀ v ∈ NR, v ∉ G →
332
+ ∃ a : Action lines K s', Coherent lines f hit K (insert v G) (advance lines K s' a) ∧
333
+ (insert v G).card = G.card + degree lines K s' a ∧
334
+ Enabled lines K low s' a ∧ actionCharge lines K s' a = 1 := by
335
+ intro G hFG s' hs' v hv hvg
336
+ have hvF : v ∉ F := fun hvF => (Finset.mem_sdiff.mp hv).2 (Finset.mem_union_left R hvF)
337
+ obtain ⟨u, hu, u', hu', _, _, _, d, hd, e, he, hde, hdp, hep⟩ := hroot ⟨v, hvF⟩
338
+ have hdv : d ∈ lines (f v) := (Finset.mem_sdiff.mp (Finset.mem_inter.mp hd).1).1
339
+ have hdu : d ∈ lines (f u.val) := (Finset.mem_sdiff.mp (Finset.mem_inter.mp hd).2).1
340
+ have hev : e ∈ lines (f v) := (Finset.mem_sdiff.mp (Finset.mem_inter.mp he).1).1
341
+ have heu : e ∈ lines (f u'.val) := (Finset.mem_sdiff.mp (Finset.mem_inter.mp he).2).1
342
+ have hdE : d ∈ encodedDirections (fun v => lines (f v)) G :=
343
+ Finset.mem_biUnion.mpr ⟨u.val, hFG (Finset.mem_union_right F
344
+ (Finset.mem_image_of_mem Subtype.val hu)), hdu⟩
345
+ have heE : e ∈ encodedDirections (fun v => lines (f v)) G :=
346
+ Finset.mem_biUnion.mpr ⟨u'.val, hFG (Finset.mem_union_right F
347
+ (Finset.mem_image_of_mem Subtype.val hu')), heu⟩
348
+ apply make_two lines f hit K hK low G s' hs' v hvg
349
+ apply Finset.one_lt_card.mpr
350
+ exact ⟨d, Finset.mem_filter.mpr ⟨Finset.mem_inter.mpr ⟨hdv, hdE⟩, hdp⟩,
351
+ e, Finset.mem_filter.mpr ⟨Finset.mem_inter.mpr ⟨hev, heE⟩, hep⟩, hde⟩
352
+ obtain ⟨m, w', hw', hq'⟩ := encode_set lines f hit K low (F ∪ R) NR
353
+ (finish lines K s w) hw.1 1 hdisNR hmake
354
+ have hfull : (F ∪ R) ∪ NR = Finset.univ := by
355
+ ext v
356
+ simp only [NR, Finset.mem_union, Finset.mem_sdiff, Finset.mem_univ, true_and]
357
+ tauto
358
+ refine ⟨m + n, append lines K s w w', ?_, ?_⟩
359
+ · simpa only [hfull] using segment_append lines f hit K low F (F ∪ R) _ s w w' hw hw'
360
+ · rw [charge_append, hq, hq', one_mul]
361
+ have hr : Fintype.card {v // v ∉ F} = Fintype.card V - F.card := by
362
+ rw [Fintype.card_subtype_compl]
363
+ simp
364
+ have hc : NR.card + (F.card + R.card) = Fintype.card V := by
365
+ have hh := Finset.card_sdiff_add_card_eq_card (Finset.subset_univ (F ∪ R))
366
+ simpa only [NR, Finset.card_univ, Finset.card_union_of_disjoint hdis] using hh
367
+ rw [← hRc, hr] at hsize
368
+ omega
369
+
370
+ omit [Fintype H] [DecidableEq H] in
371
+ omit [Fintype D] in
372
+
373
+ theorem bad_program_high (f : V → H) (hf : Function.Injective f)
374
+ (hit : B → D → Prop) [∀ r d, Decidable (hit r d)] (K J h : ℕ) (hK : 2 ≤ K) (hh : 0 < h)
375
+ (hsize : h ≤ (Fintype.card B / 2 - J) / (2 * K))
376
+ (E : Finset V) (s : State V H D B) (hs : Coherent lines f hit K E s)
377
+ (hbad : ∀ v ∉ E, Fintype.card B / 2 ≤
378
+ (touchedBatches (fun v => lines (f v)) hit v).card)
379
+ (htrunc : ∀ d, (Finset.univ.filter (fun r => hit r d)).card ≤ J)
380
+ (herr : (Fintype.card V : ℝ) * h * (19 / 20 : ℝ) ^ (h - 1) < 1 / 2) :
381
+ ∃ n, ∃ w : Word lines K n s, Segment lines f hit K false E Finset.univ s w ∧
382
+ 0 ≤ charge lines K s w ∧ n ≤ Fintype.card V - E.card := by
383
+ classical
384
+ obtain ⟨F, hpath, roots, hr, hroot⟩ := high_case_certificate_geometry
385
+ (fun v => lines (f v)) hit E K J h hh hsize hbad
386
+ (by
387
+ intro d
388
+ apply le_trans _ (htrunc d)
389
+ apply Finset.card_le_card
390
+ intro r hr
391
+ simpa only [Finset.mem_filter, Finset.mem_univ, true_and] using hr) herr
392
+ obtain ⟨n, w, hw, hq⟩ := encoding_path_program lines f hf hit K hK false hpath s hs
393
+ obtain ⟨m, w', hw', hq'⟩ := residual_program lines f hit K hK false F
394
+ (finish lines K s w) hw.1 roots hr hroot
395
+ refine ⟨m + n, append lines K s w w', segment_append lines f hit K false E F _ s w w' hw hw', ?_, ?_⟩
396
+ · rw [charge_append]; exact add_nonneg hq hq'
397
+ · have hl := length_le_degreeSum lines K s (append lines K s w w')
398
+ have hc := (segment_append lines f hit K false E F _ s w w' hw hw').2.1
399
+ simp only [Finset.card_univ] at hc
400
+ omega
401
+ omit [Fintype H] [DecidableEq H] in
402
+ omit [Fintype D] in
403
+
404
+ theorem bad_program_low (f : V → H) (hf : Function.Injective f)
405
+ (hit : B → D → Prop) (K h : ℕ) (hK : 2 ≤ K) (hh : 0 < h)
406
+ (hsize : h ≤ (Fintype.card B / 2) / (2 * K))
407
+ (E : Finset V) (s : State V H D B) (hs : Coherent lines f hit K E s)
408
+ (hbad : ∀ v ∉ E, Fintype.card B / 2 ≤
409
+ (touchedBatches (fun v => lines (f v)) hit v).card)
410
+ (herr : (Fintype.card V : ℝ) * h * (19 / 20 : ℝ) ^ (h - 1) < 1 / 2) :
411
+ ∃ n, ∃ w : Word lines K n s, Segment lines f hit K true E Finset.univ s w ∧
412
+ 0 ≤ charge lines K s w ∧ n ≤ Fintype.card V - E.card := by
413
+ obtain ⟨F, hpath, roots, hr, hroot⟩ := low_case_certificate_geometry
414
+ (fun v => lines (f v)) hit E K h hh hsize hbad herr
415
+ obtain ⟨n, w, hw, hq⟩ := encoding_path_program lines f hf hit K hK true hpath s hs
416
+ obtain ⟨m, w', hw', hq'⟩ := residual_program lines f hit K hK true F
417
+ (finish lines K s w) hw.1 roots hr hroot
418
+ refine ⟨m + n, append lines K s w w', segment_append lines f hit K true E F _ s w w' hw hw', ?_, ?_⟩
419
+ · rw [charge_append]; exact add_nonneg hq hq'
420
+ · have hl := length_le_degreeSum lines K s (append lines K s w w')
421
+ have hc := (segment_append lines f hit K true E F _ s w w' hw hw').2.1
422
+ simp only [Finset.card_univ] at hc
423
+ omega
424
+
425
+ omit [DecidableEq D] [DecidableEq B] in
426
+ lemma decoded_static_union_bound {F C : Type*} [Fintype F] [DecidableEq F]
427
+ [Fintype C] [DecidableEq C]
428
+ (rate : D → ℝ≥0) (requirements : C → Finset (B × D)) (decode : C → F)
429
+ (events : F → Set ((B × D) → ℕ))
430
+ (hm : ∀ f, MeasurableSet (events f))
431
+ (hc : ∀ f ω, ω ∈ events f → ∃ c, decode c = f ∧ ω ∈ positiveEvent (requirements c)) :
432
+ (∑ f, (poissonLaw (fun p : B × D => rate p.2)).real (events f)) ≤
433
+ ∑ c, weight (fun p : B × D => rate p.2) (requirements c) := by
434
+ classical
435
+ calc
436
+ _ ≤ ∑ f, ∑ c ∈ Finset.univ.filter (fun c => decode c = f),
437
+ weight (fun p : B × D => rate p.2) (requirements c) := by
438
+ apply Finset.sum_le_sum
439
+ intro f _
440
+ apply static_union_bound _ requirements _ (events f) (hm f)
441
+ intro ω hω
442
+ obtain ⟨c, hd, he⟩ := hc f ω hω
443
+ exact ⟨c, Finset.mem_filter.mpr ⟨Finset.mem_univ _, hd⟩, he⟩
444
+ _ = _ := by
445
+ simp only [Finset.sum_filter]
446
+ rw [Finset.sum_comm]
447
+ apply Finset.sum_congr rfl
448
+ intro c _
449
+ simp
450
+
451
+ abbrev AllPrograms (K : ℕ) (E : Finset V) (s : State V H D B) :=
452
+ (n : Fin (Fintype.card V - E.card + 1)) × Word lines K n.val s
453
+
454
+ def CompleteProgram (K : ℕ) (low : Bool) (E : Finset V) (s : State V H D B)
455
+ (c : AllPrograms lines K E s) : Prop :=
456
+ TraceOK lines K low s c.2 ∧ 0 ≤ charge lines K s c.2 ∧
457
+ degreeSum lines K s c.2 = Fintype.card V - E.card
458
+
459
+ noncomputable def completePrograms (K : ℕ) (low : Bool) (E : Finset V) (s : State V H D B) :=
460
+ {c : AllPrograms lines K E s // CompleteProgram lines K low E s c}
461
+
462
+ noncomputable instance completePrograms_fintype (K : ℕ) (low : Bool) (E : Finset V)
463
+ (s : State V H D B) : Fintype (completePrograms lines K low E s) := by
464
+ classical
465
+ unfold completePrograms
466
+ infer_instance
467
+ end SharpRamseyFive.CertificateCover
468
+ end
469
+
470
+ end OAI
lean/OAI/Combinatorics/SharpRamsey/Entropy/MarkingTwoEntropy.lean ADDED
@@ -0,0 +1,66 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ import Mathlib
2
+ import OAI.Combinatorics.SharpRamsey.Marking.MarkingTwoScans
3
+
4
+ namespace OAI
5
+
6
+ section
7
+ namespace SharpLogRamsey.Selection
8
+ open scoped BigOperators Classical
9
+ noncomputable section
10
+ variable {Ω Γ α ι : Type*} [Fintype Ω] [Fintype Γ] [Fintype α] [Fintype ι]
11
+
12
+ def selectedDeficit (p : Law Ω) (θ : Ω → Γ) (F : Ω → ι → α)
13
+ (S : Γ → Finset ι) (J : ℝ) : ℝ :=
14
+ ∑ z, (p.map θ).mass z*((S z).card*J-entropy (((p.cond θ z).map F).restrict (S z)))
15
+ end
16
+ end SharpLogRamsey.Selection
17
+
18
+ namespace SharpLogRamsey.Marking
19
+ open scoped BigOperators Classical
20
+ noncomputable section
21
+ variable {K V : Type*} [Field K] [AddCommGroup V] [Module K V]
22
+ [FiniteDimensional K V] [Fintype (Projectivization K V)]
23
+ [Fintype (Projectivization K (Module.Dual K V))]
24
+ [Fintype (Projectivization K (Module.Dual K (Module.Dual K V)))] [Finite K]
25
+
26
+ abbrev jointJ (K : Type*) (d : ℕ) : ℝ := Real.log (64*(Nat.card K:ℝ)^d)
27
+
28
+ def sourceMessage {Ω Γ : Type*} {N : ℕ} (C : Ω → Γ)
29
+ (F : Ω → Fin N → ProjectivePair (K:=K) (V:=V)) :
30
+ Ω → TwoMessage (K:=K) (V:=V) Γ N :=
31
+ Selection.markingMessage C (fun x => twoMask (Nat.card K) (F x)) bothExpensive F
32
+
33
+ variable {Ω Γ : Type*} [Fintype Ω] [Fintype Γ]
34
+
35
+ def excessCost {N : ℕ} (p : Selection.Law Ω) (C : Ω → Γ)
36
+ (F : Ω → Fin N → ProjectivePair (K:=K) (V:=V)) (Jprev J₀ : ℝ) : ℝ :=
37
+ Selection.entropy (p.map C)+Real.log (Fintype.card (TwoMask (K:=K) (V:=V) N))+
38
+ N*J₀-Selection.entropy (p.map F)+
39
+ (∑ x, p.mass x*((bothExpensive (twoMask (Nat.card K) (F x))).card:ℝ))*(Jprev-J₀)
40
+
41
+ theorem twoScan_subset_deficit {N n : ℕ} (hdim : Module.finrank K V=n+3)
42
+ (p : Selection.Law Ω) (C : Ω → Γ) (F : Ω → Fin N → ProjectivePair (K:=K) (V:=V))
43
+ (D : Γ → Fin N → Finset (ProjectivePair (K:=K) (V:=V))) (Jprev : ℝ)
44
+ (hcons : ∀ x, p.mass x≠0 → ScanConsistent ((List.ofFn (F x)).map toScan))
45
+ (hinc : ∀ x, p.mass x≠0 → ∀ i, Incidence.Incident (F x i).1 (F x i).2)
46
+ (hD : ∀ x, p.mass x≠0 → ∀ i, F x i∈D (C x) i)
47
+ (hprev : ∀ c i, Real.log (D c i).card≤Jprev)
48
+ (S : TwoMessage (K:=K) (V:=V) Γ N → Finset (Fin N))
49
+ (hS : ∀ z, Disjoint (S z) (bothExpensive z.2.2)) :
50
+ 0 ≤ Selection.selectedDeficit p (sourceMessage C F) F S (jointJ K (n+2)) ∧
51
+ Selection.selectedDeficit p (sourceMessage C F) F S (jointJ K (n+2)) ≤
52
+ excessCost p C F Jprev (jointJ K (n+2)) := by
53
+ have hh := Selection.marking_subset_deficit p C (fun x => twoMask (Nat.card K) (F x))
54
+ bothExpensive F D cheapBoth Jprev (jointJ K (n+2)) hD hprev
55
+ (fun x hx i hi => cheapBoth_mem C F x (hcons x hx) (hinc x hx) i hi)
56
+ (fun z i _ => cheapBoth_log_card hdim z i) S hS
57
+ change 0≤_ ∧ _≤_ at hh
58
+ convert hh using 1 <;> simp only [Selection.selectedDeficit,sourceMessage,excessCost,Fintype.card_fin]
59
+ all_goals congr!
60
+
61
+ end
62
+ end SharpLogRamsey.Marking
63
+
64
+ end
65
+
66
+ end OAI
lean/OAI/Combinatorics/SharpRamsey/Entropy/NewEvents.lean ADDED
@@ -0,0 +1,487 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ import Mathlib
2
+ import OAI.Combinatorics.SharpRamsey.Entropy.TwoAnchorCrossCost
3
+
4
+ namespace OAI
5
+
6
+ /-! High moments, finite-field subspaces, and incidence bounds. -/
7
+
8
+ section
9
+ open MeasureTheory ProbabilityTheory
10
+ open scoped BigOperators NNReal
11
+ open MeasureTheory ProbabilityTheory
12
+ open scoped BigOperators NNReal
13
+ open scoped BigOperators
14
+ namespace SharpRamseyFive.WeightedPrograms
15
+ open SharpRamseyFive.StaticCertificates
16
+ open SharpRamseyFive.CertificateEnumeration
17
+ open scoped BigOperators NNReal
18
+ variable {V H D B : Type*} [Fintype V] [DecidableEq V]
19
+ [Fintype H] [DecidableEq H] [Fintype D] [DecidableEq D]
20
+ [Fintype B] [DecidableEq B]
21
+ variable (lines : H → Finset D)
22
+ def newEvents (K : ℕ) (s : State V H D B) : Action lines K s → Finset (B × D)
23
+ | .inl _ => ∅
24
+ | .inr (.inl c) => c.2.2.1.requirements
25
+ | .inr (.inr (.inl c)) => c.2.2.2.1.requirements ∪ c.2.2.2.2.1.requirements
26
+ | .inr (.inr (.inr c)) => witnessRequirements c.2.2.2.2.1.val
27
+ (PairDirections lines s c.2.2.1 c.2.2.2.1.val) c.2.2.2.2.2
28
+
29
+ def newValues (K : ℕ) (s : State V H D B) : Action lines K s → V → H
30
+ | .inl c => Function.update s.1 c.1 c.2
31
+ | .inr (.inl c) => Function.update s.1 c.1 c.2.2.2.val
32
+ | .inr (.inr (.inl c)) => Function.update s.1 c.1 c.2.2.2.2.2.val
33
+ | .inr (.inr (.inr c)) =>
34
+ Function.update (Function.update s.1 c.1 c.2.2.1) c.2.1 c.2.2.2.1.val
35
+
36
+ def advance (K : ℕ) (s : State V H D B) (a : Action lines K s) : State V H D B :=
37
+ (newValues lines K s a, s.2 ∪ newEvents lines K s a)
38
+
39
+ def degree (K : ℕ) (s : State V H D B) : Action lines K s → ℕ
40
+ | .inr (.inr (.inr _)) => 2
41
+ | _ => 1
42
+
43
+ def actionCharge (K : ℕ) (s : State V H D B) : Action lines K s → ℤ
44
+ | .inl _ => -8
45
+ | .inr (.inr (.inl _)) => 1
46
+ | _ => 0
47
+
48
+ noncomputable def rawCost (rate : D → ℝ≥0) (denom : ℝ) (K : ℕ) (low : Bool)
49
+ (s : State V H D B) : Action lines K s → ℝ
50
+ | .inl _ => 1 / denom
51
+ | .inr (.inl c) => if low then oneCost lines rate denom s c else 0
52
+ | .inr (.inr (.inl c)) => twoCost lines rate denom s c
53
+ | .inr (.inr (.inr c)) => pairCost lines rate denom K s c
54
+
55
+ noncomputable def programCost (rate : D → ℝ≥0) (denom : ℝ) (K : ℕ) (low : Bool)
56
+ (s : State V H D B) (a : Action lines K s) : ℝ :=
57
+ if s.2.card ≤ K * Fintype.card V then rawCost lines rate denom K low s a else 0
58
+
59
+ omit [Fintype V] [DecidableEq V] [Fintype H] [DecidableEq H] in
60
+ omit [Fintype D] in
61
+ lemma newEvents_fresh (K : ℕ) (s : State V H D B) (a : Action lines K s) :
62
+ Disjoint s.2 (newEvents lines K s a) := by
63
+ rcases a with a | a
64
+ · exact Finset.disjoint_empty_right _
65
+ rcases a with a | a
66
+ · exact a.2.2.1.fresh
67
+ rcases a with a | a
68
+ · exact Finset.disjoint_union_right.mpr ⟨a.2.2.2.1.fresh, a.2.2.2.2.1.fresh⟩
69
+ · apply witnessRequirements_disjoint
70
+ apply Finset.disjoint_left.mpr
71
+ intro d hd hdC
72
+ exact (Finset.mem_sdiff.mp hd).2 hdC
73
+
74
+ omit [Fintype V] [DecidableEq V] [Fintype H] [DecidableEq H] in
75
+ omit [Fintype D] in
76
+ lemma rawCost_nonneg (rate : D → ℝ≥0) (denom : ℝ) (hd : 0 ≤ denom)
77
+ (K : ℕ) (low : Bool) (s : State V H D B) (a : Action lines K s) :
78
+ 0 ≤ rawCost lines rate denom K low s a := by
79
+ rcases a with a | a
80
+ · exact div_nonneg zero_le_one hd
81
+ rcases a with a | a
82
+ · change 0 ≤ if low then _ else 0
83
+ split_ifs
84
+ · exact div_nonneg (a.2.2.1.cost_nonneg rate) hd
85
+ · exact le_rfl
86
+ rcases a with a | a
87
+ · exact div_nonneg (mul_nonneg (a.2.2.2.1.cost_nonneg rate)
88
+ (a.2.2.2.2.1.cost_nonneg rate)) hd
89
+ · exact div_nonneg (weight_nonneg _ _) (sq_nonneg _)
90
+ omit [DecidableEq V] [Fintype H] [DecidableEq H] in
91
+ omit [Fintype D] in
92
+
93
+ lemma programCost_nonneg (rate : D → ℝ≥0) (denom : ℝ) (hd : 0 ≤ denom)
94
+ (K : ℕ) (low : Bool) (s : State V H D B) (a : Action lines K s) :
95
+ 0 ≤ programCost lines rate denom K low s a := by
96
+ unfold programCost
97
+ split_ifs
98
+ · exact rawCost_nonneg lines rate denom hd K low s a
99
+ · exact le_rfl
100
+
101
+ noncomputable def uniformAnchorBudget (K : ℕ) (mass : ℝ) : ℝ :=
102
+ K * Fintype.card V + Fintype.card B * mass
103
+
104
+ noncomputable def branchingBound (rate : D → ℝ≥0) (denom b mass : ℝ)
105
+ (K N₁ N₂ : ℕ) (low : Bool) : ℝ :=
106
+ ((Fintype.card V : ℝ) * Fintype.card H / denom) / b ^ 8 +
107
+ (if low then Fintype.card V ^ 2 * (N₁ : ℝ) *
108
+ uniformAnchorBudget (V := V) (B := B) K mass / denom else 0) +
109
+ (Fintype.card V ^ 3 * (N₂ : ℝ) *
110
+ uniformAnchorBudget (V := V) (B := B) K mass ^ 2 / denom) * b +
111
+ Fintype.card V ^ 2 * pairMoment (B := B) lines rate K / denom ^ 2
112
+
113
+ omit [DecidableEq V] in
114
+ omit [Fintype D] [DecidableEq B] in
115
+ lemma branchingBound_nonneg (rate : D → ℝ≥0) (denom b mass : ℝ)
116
+ (hd : 0 ≤ denom) (hb : 0 ≤ b) (hm : 0 ≤ mass)
117
+ (K N₁ N₂ : ℕ) (low : Bool) :
118
+ 0 ≤ branchingBound (V := V) (B := B) lines rate denom b mass K N₁ N₂ low := by
119
+ unfold branchingBound uniformAnchorBudget
120
+ have hp := pairMoment_nonneg (B := B) lines rate K
121
+ split_ifs <;> positivity
122
+
123
+ omit [DecidableEq V] [Fintype D] in
124
+ lemma discounted_raw_sum (rate : D → ℝ≥0) (denom b : ℝ)
125
+ (K : ℕ) (low : Bool) (s : State V H D B) :
126
+ (∑ a : Action lines K s, rawCost lines rate denom K low s a * b ^ actionCharge lines K s a) =
127
+ ((Fintype.card V : ℝ) * Fintype.card H / denom) / b ^ 8 +
128
+ (if low then ∑ c : OneChoice lines s, oneCost lines rate denom s c else 0) +
129
+ (∑ c : TwoChoice lines s, twoCost lines rate denom s c) * b +
130
+ ∑ c : PairChoice lines K s, pairCost lines rate denom K s c := by
131
+ classical
132
+ change (∑ a : RootChoice (V := V) (H := H) ⊕
133
+ OneChoice lines s ⊕ TwoChoice lines s ⊕ PairChoice lines K s, _) = _
134
+ simp only [Fintype.sum_sum_type, rawCost, actionCharge]
135
+ cases low <;>
136
+ simp only [Bool.false_eq_true, ↓reduceIte,
137
+ zpow_neg, zpow_ofNat, ← Finset.sum_mul, Finset.sum_const,
138
+ Finset.card_univ, Fintype.card_prod, nsmul_eq_mul, RootChoice, Nat.cast_mul] <;> ring
139
+
140
+ omit [DecidableEq V] in
141
+ omit [Fintype D] in
142
+
143
+ theorem discounted_row_bound (rate : D → ℝ≥0) (denom b mass : ℝ)
144
+ (hd : 0 ≤ denom) (hb : 0 ≤ b) (hm : 0 ≤ mass)
145
+ (hmass : ∀ h, ∑ d ∈ lines h, (rate d : ℝ) ≤ mass)
146
+ (K N₁ N₂ : ℕ) (low : Bool)
147
+ (hN₁ : ∀ d, (Finset.univ.filter (fun h => d ∈ lines h)).card ≤ N₁)
148
+ (hN₂ : ∀ d e, d ≠ e →
149
+ (Finset.univ.filter (fun h => d ∈ lines h ∧ e ∈ lines h)).card ≤ N₂)
150
+ (s : State V H D B) :
151
+ (∑ a : Action lines K s,
152
+ programCost lines rate denom K low s a * b ^ actionCharge lines K s a) ≤
153
+ branchingBound (V := V) (B := B) lines rate denom b mass K N₁ N₂ low := by
154
+ classical
155
+ by_cases hs : s.2.card ≤ K * Fintype.card V
156
+ · simp only [programCost, ite_eq_left hs]
157
+ rw [discounted_raw_sum]
158
+ have hA : anchorBudget rate s mass ≤ uniformAnchorBudget (V := V) (B := B) K mass := by
159
+ unfold anchorBudget uniformAnchorBudget
160
+ apply add_le_add _ le_rfl
161
+ exact_mod_cast hs
162
+ have h1 := sum_oneCost_le lines rate denom hd s mass hmass N₁ hN₁
163
+ have h2 := sum_twoCost_le lines rate denom hd s mass hm hmass N₂ hN₂
164
+ have h3 := sum_pairCost_le lines rate denom K s
165
+ unfold branchingBound
166
+ apply add_le_add
167
+ · apply add_le_add
168
+ · apply add_le_add le_rfl
169
+ split_ifs with hl
170
+ · apply h1.trans
171
+ apply div_le_div_of_nonneg_right _ hd
172
+ exact mul_le_mul_of_nonneg_left hA (by positivity)
173
+ · exact le_rfl
174
+ · apply mul_le_mul_of_nonneg_right _ hb
175
+ apply h2.trans
176
+ apply div_le_div_of_nonneg_right _ hd
177
+ apply mul_le_mul_of_nonneg_left _ (by positivity)
178
+ exact pow_le_pow_left₀ (anchorBudget_nonneg rate s mass hm) hA 2
179
+ · exact h3
180
+ · simp only [programCost, ite_eq_right hs, zero_mul, Finset.sum_const_zero]
181
+ exact branchingBound_nonneg (V := V) lines rate denom b mass hd hb hm K N₁ N₂ low
182
+
183
+ omit [Fintype D] in
184
+
185
+ theorem program_enumeration (rate : D → ℝ≥0) (denom b mass : ℝ)
186
+ (hd : 0 ≤ denom) (hb : 1 ≤ b) (hm : 0 ≤ mass)
187
+ (hmass : ∀ h, ∑ d ∈ lines h, (rate d : ℝ) ≤ mass)
188
+ (K N₁ N₂ : ℕ) (low : Bool)
189
+ (hN₁ : ∀ d, (Finset.univ.filter (fun h => d ∈ lines h)).card ≤ N₁)
190
+ (hN₂ : ∀ d e, d ≠ e →
191
+ (Finset.univ.filter (fun h => d ∈ lines h ∧ e ∈ lines h)).card ≤ N₂)
192
+ (n : ℕ) (s : State V H D B) :
193
+ (∑ w : DWord (Action lines K) (advance lines K) n s,
194
+ if 0 ≤ dCharge (Action lines K) (advance lines K) (actionCharge lines K) s w
195
+ then dWeight (Action lines K) (advance lines K) (programCost lines rate denom K low) s w
196
+ else 0) ≤
197
+ branchingBound (V := V) (B := B) lines rate denom b mass K N₁ N₂ low ^ n := by
198
+ classical
199
+ exact constrained_dSum_le (Action lines K) (advance lines K)
200
+ (programCost lines rate denom K low) (programCost_nonneg lines rate denom hd K low)
201
+ (actionCharge lines K) b _ hb
202
+ (branchingBound_nonneg (V := V) lines rate denom b mass hd (by linarith) hm K N₁ N₂ low)
203
+ (discounted_row_bound lines rate denom b mass hd (by linarith) hm hmass K N₁ N₂ low hN₁ hN₂)
204
+ n s _ (fun _ h => h)
205
+
206
+ end SharpRamseyFive.WeightedPrograms
207
+
208
+ open MeasureTheory ProbabilityTheory
209
+ open scoped BigOperators ENNReal NNReal
210
+
211
+ namespace SharpRamseyFive.ResidualCertificate
212
+
213
+ variable {V : Type*} [Fintype V] [DecidableEq V]
214
+
215
+ noncomputable def rootProbability : unitInterval := ⟨1 / 20, by norm_num⟩
216
+
217
+ noncomputable def rootMeasure : Measure (V → Bool) :=
218
+ Measure.pi (fun _ => bernoulliMeasure true false rootProbability)
219
+
220
+ instance flat_HighMomentRecovered_6 : IsProbabilityMeasure (rootMeasure (V := V)) := by
221
+ unfold rootMeasure
222
+ infer_instance
223
+
224
+ noncomputable def selected (ω : V → Bool) : Finset V :=
225
+ Finset.univ.filter (fun v => ω v = true)
226
+
227
+ def voidEvent (W : Finset V) : Set (V → Bool) :=
228
+ (W : Set V).pi (fun _ => {false})
229
+
230
+ noncomputable def voidIndicator (W : Finset V) (ω : V → Bool) : ℝ :=
231
+ (voidEvent W).indicator (fun _ => 1) ω
232
+
233
+ noncomputable def badIndicator (W : Finset V) (ω : V → Bool) : ℝ :=
234
+ if (W ∩ selected ω).card < 2 then 1 else 0
235
+
236
+ omit [DecidableEq V] in
237
+ lemma integrable_bounded (f : (V → Bool) → ℝ) (C : ℝ) (hf : ∀ ω, |f ω| ≤ C) :
238
+ Integrable f rootMeasure := by
239
+ apply Integrable.of_bound (measurable_of_countable f).aestronglyMeasurable C
240
+ exact Filter.Eventually.of_forall (by intro ω; simpa only [Real.norm_eq_abs] using hf ω)
241
+ omit [DecidableEq V] in
242
+
243
+ lemma integrable_voidIndicator (W : Finset V) : Integrable (voidIndicator W) rootMeasure := by
244
+ apply integrable_bounded _ 1
245
+ intro ω
246
+ by_cases h : ω ∈ voidEvent W <;> simp [voidIndicator, h]
247
+
248
+ lemma integrable_badIndicator (W : Finset V) : Integrable (badIndicator W) rootMeasure := by
249
+ apply integrable_bounded _ 1
250
+ intro ω
251
+ simp only [badIndicator]
252
+ split_ifs <;> norm_num
253
+
254
+ omit [Fintype V] [DecidableEq V] in
255
+ lemma voidIndicator_nonneg (W : Finset V) (ω : V → Bool) : 0 ≤ voidIndicator W ω := by
256
+ by_cases h : ω ∈ voidEvent W <;> simp [voidIndicator, h]
257
+
258
+ lemma badIndicator_nonneg (W : Finset V) (ω : V → Bool) : 0 ≤ badIndicator W ω := by
259
+ simp only [badIndicator]
260
+ split_ifs <;> norm_num
261
+
262
+ omit [DecidableEq V] in
263
+ lemma integral_voidIndicator (W : Finset V) :
264
+ ∫ ω, voidIndicator W ω ∂rootMeasure = (19 / 20 : ℝ) ^ W.card := by
265
+ have hm : MeasurableSet (voidEvent W) := MeasurableSet.pi W.finite_toSet.countable
266
+ (fun _ _ => measurableSet_singleton false)
267
+ have hprob : rootMeasure (voidEvent W) = ENNReal.ofReal ((19 / 20 : ℝ) ^ W.card) := by
268
+ rw [rootMeasure, voidEvent, Measure.pi_pi_finset]
269
+ simp only [bernoulliMeasure_apply rootProbability (measurableSet_singleton false)]
270
+ norm_num [rootProbability, unitInterval.toNNReal, unitInterval.symm]
271
+ congr 1
272
+ exact ENNReal.ofReal_coe_nnreal.symm
273
+ simp only [voidIndicator]
274
+ rw [ integral_indicator_const _ hm, Measure.real, hprob,
275
+ ENNReal.toReal_ofReal (by positivity)]
276
+ simp
277
+
278
+ lemma erase_void_witness (W : Finset V) (hW : W.Nonempty) (ω : V → Bool)
279
+ (hbad : (W ∩ selected ω).card < 2) :
280
+ ∃ j ∈ W, ω ∈ voidEvent (W.erase j) := by
281
+ have hsmall : (W ∩ selected ω).card ≤ 1 := by omega
282
+ have hc := Finset.card_le_one.mp hsmall
283
+ by_cases he : (W ∩ selected ω).Nonempty
284
+ · obtain ⟨j, hj⟩ := he
285
+ refine ⟨j, (Finset.mem_inter.mp hj).1, ?_⟩
286
+ intro k hk
287
+ apply Set.mem_singleton_iff.mpr
288
+ apply Bool.eq_false_of_not_eq_true
289
+ intro hkt
290
+ have hkm : k ∈ W ∩ selected ω := by
291
+ simp only [Finset.mem_inter, selected, Finset.mem_filter, Finset.mem_univ, true_and]
292
+ exact ⟨(Finset.mem_erase.mp hk).2, hkt⟩
293
+ exact (Finset.mem_erase.mp hk).1 (hc k hkm j hj)
294
+ · obtain ⟨j, hj⟩ := hW
295
+ refine ⟨j, hj, ?_⟩
296
+ intro k hk
297
+ apply Set.mem_singleton_iff.mpr
298
+ apply Bool.eq_false_of_not_eq_true
299
+ intro hkt
300
+ apply he
301
+ refine ⟨k, ?_⟩
302
+ simp only [Finset.mem_inter, selected, Finset.mem_filter, Finset.mem_univ, true_and]
303
+ exact ⟨(Finset.mem_erase.mp hk).2, hkt⟩
304
+
305
+ lemma badIndicator_le_erase_void (W : Finset V) (hW : W.Nonempty) (ω : V → Bool) :
306
+ badIndicator W ω ≤ ∑ j ∈ W, voidIndicator (W.erase j) ω := by
307
+ unfold badIndicator
308
+ split_ifs with hb
309
+ · obtain ⟨j, hj, hv⟩ := erase_void_witness W hW ω hb
310
+ have hle := Finset.single_le_sum (f := fun j => voidIndicator (W.erase j) ω)
311
+ (fun j _ => voidIndicator_nonneg _ _) hj
312
+ simpa only [voidIndicator, Set.indicator_of_mem hv] using hle
313
+ · exact Finset.sum_nonneg (fun j _ => voidIndicator_nonneg _ _)
314
+
315
+ lemma integral_badIndicator_le (W : Finset V) (hW : W.Nonempty) :
316
+ ∫ ω, badIndicator W ω ∂rootMeasure ≤
317
+ W.card * (19 / 20 : ℝ) ^ (W.card - 1) := by
318
+ calc
319
+ _ ≤ ∫ ω, ∑ j ∈ W, voidIndicator (W.erase j) ω ∂rootMeasure :=
320
+ integral_mono (integrable_badIndicator W)
321
+ (integrable_finsetSum _ (fun j _ => integrable_voidIndicator _))
322
+ (badIndicator_le_erase_void W hW)
323
+ _ = ∑ j ∈ W, (19 / 20 : ℝ) ^ (W.card - 1) := by
324
+ rw [integral_finsetSum _ (fun j _ => integrable_voidIndicator _)]
325
+ apply Finset.sum_congr rfl
326
+ intro j hj
327
+ rw [integral_voidIndicator, Finset.card_erase_of_mem hj]
328
+ _ = _ := by simp
329
+
330
+ omit [DecidableEq V] in
331
+ lemma indicator_selected (ω : V → Bool) :
332
+ ((selected ω).card : ℝ) = ∑ v : V, if ω v = true then (1 : ℝ) else 0 := by
333
+ symm
334
+ exact Finset.sum_boole _ _
335
+ omit [DecidableEq V] in
336
+
337
+ lemma integrable_selected_card :
338
+ Integrable (fun ω : V → Bool => ((selected ω).card : ℝ)) rootMeasure := by
339
+ simp_rw [indicator_selected]
340
+ apply integrable_finsetSum
341
+ intro v hv
342
+ apply integrable_bounded _ 1
343
+ intro ω
344
+ split_ifs <;> norm_num
345
+ omit [DecidableEq V] in
346
+
347
+ lemma integral_selected_card :
348
+ ∫ ω : V → Bool, ((selected ω).card : ℝ) ∂rootMeasure = (Fintype.card V : ℝ) / 20 := by
349
+ simp_rw [indicator_selected]
350
+ rw [integral_finsetSum]
351
+ · have hv (v : V) :
352
+ (∫ ω : V → Bool, if ω v = true then (1 : ℝ) else 0 ∂rootMeasure) = 1 / 20 := by
353
+ rw [rootMeasure, integral_comp_eval (μ := fun _ : V => bernoulliMeasure true false rootProbability) (i := v) (f := fun a : Bool => if a = true then (1 : ℝ) else 0)
354
+ (measurable_of_countable _).aestronglyMeasurable,
355
+ integral_bernoulliMeasure]
356
+ norm_num [rootProbability]
357
+ simp_rw [hv]
358
+ simp [div_eq_mul_inv]
359
+ · intro v hv
360
+ apply integrable_bounded _ 1
361
+ intro ω
362
+ split_ifs <;> norm_num
363
+
364
+ theorem exists_small_root_set (W : V → Finset V) {k : ℕ} (hk : 0 < k)
365
+ (hW : ∀ v, (W v).card = k)
366
+ (herr : (Fintype.card V : ℝ) * k * (19 / 20 : ℝ) ^ (k - 1) < 1 / 2) :
367
+ ∃ roots : Finset V, 10 * roots.card ≤ Fintype.card V ∧
368
+ ∀ v, 2 ≤ (W v ∩ roots).card := by
369
+ classical
370
+ by_cases hn : Fintype.card V = 0
371
+ · have : IsEmpty V := Fintype.card_eq_zero_iff.mp hn
372
+ exact ⟨∅, by simp [], fun v => isEmptyElim v⟩
373
+ have hnpos : (0 : ℝ) < Fintype.card V := by exact_mod_cast (Nat.pos_of_ne_zero hn)
374
+ let F : (V → Bool) → ℝ := fun ω =>
375
+ (10 / Fintype.card V : ℝ) * (selected ω).card + ∑ v, badIndicator (W v) ω
376
+ have hFi : Integrable F rootMeasure :=
377
+ (integrable_selected_card.const_mul _).add
378
+ (integrable_finsetSum _ (fun v _ => integrable_badIndicator (W v)))
379
+ have hFint : ∫ ω, F ω ∂rootMeasure < 1 := by
380
+ have he (v : V) : ∫ ω, badIndicator (W v) ω ∂rootMeasure ≤
381
+ k * (19 / 20 : ℝ) ^ (k - 1) := by
382
+ simpa only [hW] using integral_badIndicator_le (W v) (Finset.card_pos.mp (by rw [hW v]; exact hk))
383
+ have sumle : ∑ v : V, (∫ ω, badIndicator (W v) ω ∂rootMeasure) ≤
384
+ (Fintype.card V : ℝ) * k * (19 / 20 : ℝ) ^ (k - 1) := by
385
+ calc
386
+ _ ≤ ∑ _v : V, (k : ℝ) * (19 / 20 : ℝ) ^ (k - 1) := Finset.sum_le_sum (fun v _ => he v)
387
+ _ = _ := by simp; ring
388
+ have hc : (10 / Fintype.card V : ℝ) * ((Fintype.card V : ℝ) / 20) = 1 / 2 := by
389
+ field_simp
390
+ ; ring
391
+ dsimp [F]
392
+ rw [integral_add (integrable_selected_card.const_mul _)
393
+ (integrable_finsetSum _ (fun v _ => integrable_badIndicator (W v))),
394
+ integral_const_mul, integral_selected_card, integral_finsetSum _
395
+ (fun v _ => integrable_badIndicator (W v)), hc]
396
+ linarith
397
+ have hex : ∃ ω, F ω < 1 := by
398
+ by_contra h
399
+ push Not at h
400
+ have hle := integral_mono (integrable_const (1 : ℝ)) hFi h
401
+ simp only [integral_const] at hle
402
+ simp at hle
403
+ linarith
404
+ obtain ⟨ω, hω⟩ := hex
405
+ have hsum : 0 ≤ ∑ v : V, badIndicator (W v) ω :=
406
+ Finset.sum_nonneg (fun v _ => badIndicator_nonneg _ _)
407
+ have hcost : 0 ≤ (10 / Fintype.card V : ℝ) * (selected ω).card := by positivity
408
+ refine ⟨selected ω, ?_, ?_⟩
409
+ · have ht : (10 / Fintype.card V : ℝ) * (selected ω).card < 1 := by dsimp [F] at hω; linarith
410
+ have hcard : (10 : ℝ) * (selected ω).card ≤ Fintype.card V := by
411
+ have := (mul_lt_mul_iff_right₀ hnpos).mpr ht
412
+ field_simp at this
413
+ nlinarith
414
+ exact_mod_cast hcard
415
+ · intro v
416
+ by_contra hv
417
+ have hbad : badIndicator (W v) ω = 1 := by simp [badIndicator, show (W v ∩ selected ω).card < 2 by omega]
418
+ have hle := Finset.single_le_sum (f := fun v => badIndicator (W v) ω)
419
+ (fun v _ => badIndicator_nonneg _ _) (Finset.mem_univ v)
420
+ rw [hbad] at hle
421
+ dsimp [F] at hω
422
+ linarith
423
+
424
+ section WitnessMatching
425
+
426
+ variable {E N D : Type*} [DecidableEq E] [DecidableEq N] [DecidableEq D]
427
+
428
+ theorem exists_distinct_witnesses (s : Finset E) (neighbor : E → N) (direction : E → D)
429
+ (K : ℕ) (hn : ∀ n, (s.filter (fun e => neighbor e = n)).card ≤ K)
430
+ (hd : ∀ d, (s.filter (fun e => direction e = d)).card ≤ K) :
431
+ ∃ t ⊆ s, Set.InjOn neighbor (t : Set E) ∧ Set.InjOn direction (t : Set E) ∧
432
+ s.card ≤ 2 * K * t.card := by
433
+ classical
434
+ let family : Finset (Finset E) := s.powerset.filter (fun t =>
435
+ Set.InjOn neighbor (t : Set E) ∧ Set.InjOn direction (t : Set E))
436
+ have hempty : ∅ ∈ family := by simp [family, Set.injOn_empty]
437
+ obtain ⟨t, htf, hmax⟩ := Finset.exists_max_image family Finset.card ⟨∅, hempty⟩
438
+ have ht : t ⊆ s := Finset.mem_powerset.mp (Finset.mem_filter.mp htf).1
439
+ have hinj := (Finset.mem_filter.mp htf).2
440
+ have hcover (e : E) (he : e ∈ s) :
441
+ ∃ a ∈ t, neighbor e = neighbor a ∨ direction e = direction a := by
442
+ by_contra h
443
+ push Not at h
444
+ have hen : e ∉ t := by
445
+ intro het
446
+ exact (h e het).1 rfl
447
+ have hnnew : Set.InjOn neighbor (↑(insert e t) : Set E) := by
448
+ rw [Finset.coe_insert, Set.injOn_insert hen]
449
+ refine ⟨hinj.1, ?_⟩
450
+ rintro ⟨a, ha, hea⟩
451
+ exact (h a ha).1 hea.symm
452
+ have hdnew : Set.InjOn direction (↑(insert e t) : Set E) := by
453
+ rw [Finset.coe_insert, Set.injOn_insert hen]
454
+ refine ⟨hinj.2, ?_⟩
455
+ rintro ⟨a, ha, hea⟩
456
+ exact (h a ha).2 hea.symm
457
+ have hnew : insert e t �� family := by
458
+ simp only [family, Finset.mem_filter, Finset.mem_powerset]
459
+ exact ⟨Finset.insert_subset he ht, hnnew, hdnew⟩
460
+ have := hmax _ hnew
461
+ rw [Finset.card_insert_of_notMem hen] at this
462
+ omega
463
+ refine ⟨t, ht, hinj.1, hinj.2, ?_⟩
464
+ have hsub : s ⊆ t.biUnion (fun a =>
465
+ (s.filter (fun e => neighbor e = neighbor a)) ∪
466
+ (s.filter (fun e => direction e = direction a))) := by
467
+ intro e he
468
+ obtain ⟨a, ha, hor⟩ := hcover e he
469
+ apply Finset.mem_biUnion.mpr
470
+ refine ⟨a, ha, ?_⟩
471
+ simpa only [Finset.mem_union, Finset.mem_filter, and_or_left] using
472
+ And.intro he hor
473
+ calc
474
+ s.card ≤ _ := Finset.card_le_card hsub
475
+ _ ≤ ∑ a ∈ t, ((s.filter (fun e => neighbor e = neighbor a)) ∪
476
+ (s.filter (fun e => direction e = direction a))).card := Finset.card_biUnion_le
477
+ _ ≤ ∑ _a ∈ t, 2 * K := by
478
+ apply Finset.sum_le_sum
479
+ intro a ha
480
+ exact (Finset.card_union_le _ _).trans (by have := hn (neighbor a); have := hd (direction a); omega)
481
+ _ = 2 * K * t.card := by simp [Nat.mul_comm]
482
+
483
+ end WitnessMatching
484
+ end SharpRamseyFive.ResidualCertificate
485
+ end
486
+
487
+ end OAI
lean/OAI/Combinatorics/SharpRamsey/Entropy/PatchNotMem.lean ADDED
@@ -0,0 +1,454 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ import Mathlib
2
+ import OAI.Combinatorics.SharpRamsey.Entropy.ShiftKernelSum
3
+
4
+ namespace OAI
5
+
6
+ /-! High moments, finite-field subspaces, and incidence bounds. -/
7
+
8
+ section
9
+ open MeasureTheory ProbabilityTheory
10
+ open scoped BigOperators NNReal
11
+ open MeasureTheory ProbabilityTheory
12
+ open scoped BigOperators NNReal
13
+ open scoped BigOperators
14
+ open MeasureTheory ProbabilityTheory
15
+ open scoped BigOperators ENNReal NNReal
16
+ namespace SharpRamseyFive.ResidualElimination
17
+ open scoped BigOperators
18
+ open Classical
19
+ variable {V H : Type} [Fintype V] [DecidableEq V] [Fintype H] [DecidableEq H]
20
+ omit [Fintype V] [Fintype H] [DecidableEq H] in
21
+ lemma patch_notMem (g : V → H) (T : Finset V) (x : T → H) (u : V) (hu : u ∉ T) :
22
+ patch g T x u = g u := by simp [patch, hu]
23
+ omit [Fintype V] [Fintype H] [DecidableEq H] in
24
+
25
+ lemma agrees_sdiff_patch (E T : Finset V) (hT : T ⊆ E) (g f : V → H) (x : T → H) :
26
+ Agrees (E \ T) (patch g T x) f ↔ Agrees E g f ∧ x = fun u : T => f u := by
27
+ constructor
28
+ · intro h
29
+ constructor
30
+ · intro u hu
31
+ have hnu : u ∉ T := fun hh => hu (hT hh)
32
+ simpa only [patch_notMem g T x u hnu] using h u (by simp [hu])
33
+ · funext u
34
+ have hu := h u (by simp)
35
+ simpa only [patch_mem] using hu.symm
36
+ · rintro ⟨h,rfl⟩ u hu
37
+ by_cases hnu : u ∈ T
38
+ · simp [patch, hnu]
39
+ · rw [patch_notMem g T _ u hnu]
40
+ exact h u (by simpa [hnu] using hu)
41
+
42
+ lemma completionSum_split (E T : Finset V) (hT : T ⊆ E) (g : V → H)
43
+ (F : (V → H) → ℝ) :
44
+ completionSum E g F = ∑ x : T → H, completionSum (E \ T) (patch g T x) F := by
45
+ unfold completionSum
46
+ rw [Finset.sum_comm]
47
+ apply Finset.sum_congr rfl
48
+ intro f _
49
+ simp only [agrees_sdiff_patch E T hT]
50
+ by_cases hf : Agrees E g f <;> simp [hf]
51
+
52
+ theorem weighted_block_exposure (E T : Finset V) (hT : T ⊆ E) (g : V → H)
53
+ (w : (T → H) → ℝ) (hw : ∀ x, 0 ≤ w x) (F : (V → H) → ℝ)
54
+ (C : ℝ) (hF : ∀ g, completionSum (E \ T) g F ≤ C) :
55
+ completionSum E g (fun f => w (fun u : T => f u) * F f) ≤
56
+ (∑ x : T → H, w x) * C := by
57
+ rw [completionSum_split E T hT, Finset.sum_mul]
58
+ apply Finset.sum_le_sum
59
+ intro x _
60
+ calc
61
+ _ = completionSum (E \ T) (patch g T x) (fun f => w x * F f) := by
62
+ apply completionSum_congr
63
+ intro f hf
64
+ have hx := (agrees_sdiff_patch E T hT g f x).mp hf
65
+ rw [← hx.2]
66
+ _ = w x * completionSum (E \ T) (patch g T x) F := completionSum_mul ..
67
+ _ ≤ _ := mul_le_mul_of_nonneg_left (hF _) (hw x)
68
+
69
+ theorem independent_positions_exposure (E T : Finset V) (hT : T ⊆ E) (g : V → H)
70
+ (w : V → H → ℝ) (hw : ∀ u h, 0 ≤ w u h) (F : (V → H) → ℝ)
71
+ (C : ℝ) (hF : ∀ g, completionSum (E \ T) g F ≤ C) :
72
+ completionSum E g (fun f => (∏ u ∈ T, w u (f u)) * F f) ≤
73
+ (∏ u ∈ T, ∑ h : H, w u h) * C := by
74
+ let W : (T → H) → ℝ := fun x => ∏ u : T, w u (x u)
75
+ have hW : ∀ x, 0 ≤ W x := by
76
+ intro x
77
+ exact Finset.prod_nonneg (fun u _ => hw _ _)
78
+ have he (f : V → H) : (∏ u ∈ T, w u (f u)) = W (fun u : T => f u) := by
79
+ exact (Finset.prod_coe_sort T (fun u => w u (f u))).symm
80
+ simp_rw [he]
81
+ apply (weighted_block_exposure E T hT g W hW F C hF).trans_eq
82
+ have hs : (∑ x : T → H, W x) = ∏ u ∈ T, ∑ h : H, w u h := by
83
+ rw [show (∑ x : T → H, W x) = ∏ u : T, ∑ h : H, w u h from
84
+ (Fintype.prod_sum (fun u : T => w u)).symm]
85
+ exact Finset.prod_coe_sort T (fun u => ∑ h : H, w u h)
86
+ rw [hs]
87
+
88
+ end SharpRamseyFive.ResidualElimination
89
+
90
+ namespace SharpRamseyFive.ResidualElimination
91
+ open scoped BigOperators
92
+ open Classical
93
+ variable {V H : Type} [Fintype V] [DecidableEq V] [Fintype H] [DecidableEq H]
94
+
95
+ omit [Fintype V] in
96
+ lemma powerset_sdiff (E U : Finset V) :
97
+ (E \ U).powerset = E.powerset.filter (fun S => Disjoint S U) := by
98
+ ext S
99
+ simp only [Finset.mem_powerset, Finset.mem_filter]
100
+ constructor
101
+ · intro h
102
+ refine ⟨h.trans Finset.sdiff_subset, Finset.disjoint_left.mpr ?_⟩
103
+ intro u hu hU
104
+ exact (Finset.mem_sdiff.mp (h hu)).2 hU
105
+ · rintro ⟨h,hD⟩ u hu
106
+ exact Finset.mem_sdiff.mpr ⟨h hu, fun hU => Finset.disjoint_left.mp hD hu hU⟩
107
+ omit [Fintype V] in
108
+
109
+ lemma sum_disjoint_swap (E : Finset V) (F : Finset V → Finset V → ℝ) :
110
+ (∑ U ∈ E.powerset, ∑ S ∈ (E \ U).powerset, F U S) =
111
+ ∑ S ∈ E.powerset, ∑ U ∈ (E \ S).powerset, F U S := by
112
+ simp_rw [powerset_sdiff, Finset.sum_filter]
113
+ rw [Finset.sum_comm]
114
+ apply Finset.sum_congr rfl
115
+ intro S hS
116
+ apply Finset.sum_congr rfl
117
+ intro U hU
118
+ simp only [disjoint_comm]
119
+
120
+ noncomputable def badExpansion (a : V → (V → H) → ℝ)
121
+ (B : Finset V → (V → H) → ℝ) (E : Finset V) (f : V → H) : ℝ :=
122
+ ∑ U ∈ E.powerset, (∏ u ∈ E \ U, a u f) * B U f
123
+
124
+ omit [Fintype V] [Fintype H] [DecidableEq H] in
125
+ lemma badExpansion_nonneg (a : V → (V → H) → ℝ)
126
+ (B : Finset V → (V → H) → ℝ) (ha : ∀ u f, 0 ≤ a u f)
127
+ (hB : ∀ E f, 0 ≤ B E f) (E : Finset V) (f : V → H) :
128
+ 0 ≤ badExpansion a B E f := by
129
+ apply Finset.sum_nonneg
130
+ intro U hU
131
+ exact mul_nonneg (Finset.prod_nonneg (fun u _ => ha u f)) (hB U f)
132
+
133
+ omit [Fintype H] [DecidableEq H] in
134
+ omit [Fintype V] in
135
+ lemma badExpansion_add (a d : V → (V → H) → ℝ)
136
+ (B : Finset V → (V → H) → ℝ) (E : Finset V) (f : V → H) :
137
+ badExpansion (fun u f => d u f + a u f) B E f =
138
+ ∑ S ∈ E.powerset, (∏ u ∈ S, d u f) * badExpansion a B (E \ S) f := by
139
+ unfold badExpansion
140
+ simp_rw [Finset.prod_add, Finset.sum_mul]
141
+ rw [sum_disjoint_swap]
142
+ apply Finset.sum_congr rfl
143
+ intro S hS
144
+ rw [Finset.mul_sum]
145
+ apply Finset.sum_congr rfl
146
+ intro U hU
147
+ have he : (E \ U) \ S = (E \ S) \ U := sdiff_sdiff_comm
148
+ rw [he, mul_assoc]
149
+ omit [DecidableEq H] in
150
+
151
+ lemma badExpansion_sum_le (a : V → (V → H) → ℝ)
152
+ (B : Finset V → (V → H) → ℝ) (E : Finset V) (g : V → H)
153
+ (M : ℝ) (_hM : 0 ≤ M)
154
+ (hterm : ∀ S, S ⊆ E → completionSum E g (term a B E S) ≤ M ^ E.card) :
155
+ completionSum E g (badExpansion a B E) ≤ (2 * M) ^ E.card := by
156
+ rw [show badExpansion a B E = (fun f => ∑ U ∈ E.powerset,
157
+ (∏ u ∈ E \ U, a u f) * B U f) from rfl, completionSum_sum]
158
+ calc
159
+ _ ≤ ∑ _U ∈ E.powerset, M ^ E.card := by
160
+ apply Finset.sum_le_sum
161
+ intro U hU
162
+ have hU : U ⊆ E := Finset.mem_powerset.mp hU
163
+ have he : E \ (E \ U) = U := Finset.sdiff_sdiff_eq_self hU
164
+ have ht := hterm (E \ U) Finset.sdiff_subset
165
+ change completionSum E g (fun f => (∏ u ∈ E \ U, a u f) *
166
+ B (E \ (E \ U)) f) ≤ M ^ E.card at ht
167
+ simpa only [he] using ht
168
+ _ = _ := by simp [mul_pow]
169
+
170
+ theorem all_singleton_enumeration
171
+ (a : V → (V → H) → ℝ) (d : V → H → ℝ) (B : Finset V → (V → H) → ℝ)
172
+ (W : H → H → ℝ) (C D : ℝ) (hC : 0 ≤ C) (_hD : 0 ≤ D)
173
+ (ha : ∀ u f, a u f ∈ Set.Icc (0 : ℝ) 1)
174
+ (hd : ∀ u x, 0 ≤ d u x) (hsum : ∀ u, (∑ x : H, d u x) ≤ D)
175
+ (hW : ∀ x y, 0 ≤ W x y) (hB : ∀ A f, 0 ≤ B A f)
176
+ (hmono : ∀ A A', A' ⊆ A → ∀ f, B A f ≤ B A' f)
177
+ (hshift : ∀ u f, a u f ≤ ∑ v ∈ Finset.univ.erase u, W (f u) (f v))
178
+ (hrow : ∀ y, (∑ x : H, W x y) ≤ C)
179
+ (hpair : (∑ x : H, ∑ y : H, W x y) ≤ C ^ 2)
180
+ (hbad : ∀ A g, completionSum A g (B A) ≤ C ^ A.card)
181
+ (E : Finset V) (g : V → H) :
182
+ completionSum E g (badExpansion (fun u f => d u (f u) + a u f) B E) ≤
183
+ (D + 2 * ((Fintype.card V + 1 : ℝ) * C)) ^ E.card := by
184
+ let M : ℝ := (Fintype.card V + 1) * C
185
+ have hM : 0 ≤ M := by dsimp [M]; positivity
186
+ have hbnd (A : Finset V) (g : V → H) :
187
+ completionSum A g (badExpansion a B A) ≤ (2 * M) ^ A.card := by
188
+ apply badExpansion_sum_le a B A g M hM
189
+ intro S hS
190
+ exact shift_bad_enumeration a B W C hC ha hW hB hmono hshift hrow hpair hbad A S hS g
191
+ have he : badExpansion (fun u f => d u (f u) + a u f) B E =
192
+ fun f => ∑ S ∈ E.powerset, (∏ u ∈ S, d u (f u)) * badExpansion a B (E \ S) f := by
193
+ funext f
194
+ exact badExpansion_add a (fun u f => d u (f u)) B E f
195
+ rw [he, completionSum_sum]
196
+ calc
197
+ _ ≤ ∑ S ∈ E.powerset, D ^ S.card * (2 * M) ^ (E \ S).card := by
198
+ apply Finset.sum_le_sum
199
+ intro S hS
200
+ apply (independent_positions_exposure E S (Finset.mem_powerset.mp hS) g d hd
201
+ (badExpansion a B (E \ S)) ((2 * M) ^ (E \ S).card) (hbnd (E \ S))).trans
202
+ apply mul_le_mul_of_nonneg_right _ (pow_nonneg (by positivity) _)
203
+ calc
204
+ (∏ u ∈ S, ∑ x : H, d u x) ≤ ∏ _u ∈ S, D :=
205
+ Finset.prod_le_prod₀ (fun u _ => Finset.sum_nonneg (fun x _ => hd u x))
206
+ (fun u _ => hsum u)
207
+ _ = _ := Finset.prod_const _
208
+ _ = (D + 2 * M) ^ E.card := by
209
+ have := Finset.prod_add (fun _ : V => D) (fun _ => 2 * M) E
210
+ simpa only [Finset.prod_const] using this.symm
211
+
212
+ end SharpRamseyFive.ResidualElimination
213
+
214
+ namespace SharpRamseyFive.SingletonEnumeration
215
+ open MeasureTheory ProbabilityTheory
216
+ open scoped BigOperators NNReal
217
+ open SharpRamseyFive.PoissonScore SharpRamseyFive.TupleComponents
218
+ open SharpRamseyFive.Designations SharpRamseyFive.AmbientDesignations
219
+ open SharpRamseyFive.SelectionBridge SharpRamseyFive.WeightedPrograms
220
+ open SharpRamseyFive.ResidualElimination
221
+ open Classical
222
+ variable {D V H : Type} [Fintype D] [DecidableEq D] [Fintype V] [DecidableEq V]
223
+ [Fintype H] [DecidableEq H]
224
+
225
+ noncomputable def independentWeight (weight rate : D → ℝ≥0) (lines : H → Finset D)
226
+ (R J : ℕ) (base : ℝ) (h : H) : ℝ :=
227
+ |mass weight (lines h) - base| ^ (R / 2) +
228
+ (if R < J then 0 else ∑ d ∈ lines h, ((R : ℝ) * (rate d : ℝ)) ^ J)
229
+
230
+ omit [Fintype D] [DecidableEq D] [Fintype H] [DecidableEq H] in
231
+ lemma independentWeight_nonneg (weight rate : D → ℝ≥0) (lines : H → Finset D)
232
+ (R J : ℕ) (base : ℝ) (h : H) : 0 ≤ independentWeight weight rate lines R J base h := by
233
+ unfold independentWeight
234
+ split_ifs <;> positivity
235
+
236
+ theorem actual_all_singleton_enumeration (weight rate : D → ℝ≥0) (lines : H → Finset D)
237
+ {p : ℕ} (hp : 0 < p) (hc : Fintype.card V ≤ p)
238
+ (R : ℕ) (denom b mass C D₀ base : ℝ)
239
+ (hd : 0 < denom) (hb : 1 ≤ b) (hm : 0 ≤ mass) (hC : 0 ≤ C) (hD : 0 ≤ D₀)
240
+ (hmass : ∀ u, ∑ d ∈ lines u, (rate d : ℝ) ≤ mass)
241
+ (K J h N₁ N₂ : ℕ) (hK : 2 ≤ K) (hh : 0 < h) (low : Bool)
242
+ (hsize : h ≤ (R / 2 - if low then 0 else J) / (2 * K))
243
+ (herr : (Fintype.card V : ℝ) * h * (19 / 20 : ℝ) ^ (h - 1) < 1 / 2)
244
+ (hN₁ : ∀ d, (Finset.univ.filter (fun u => d ∈ lines u)).card ≤ N₁)
245
+ (hN₂ : ∀ d e, d ≠ e →
246
+ (Finset.univ.filter (fun u => d ∈ lines u ∧ e ∈ lines u)).card ≤ N₂)
247
+ (hBC : denom * (1 + branchingBound (V := V) (B := Fin R)
248
+ (fun z : H × V => lines z.1) rate denom b mass K
249
+ (N₁ * Fintype.card V) (N₂ * Fintype.card V) low) ≤ C)
250
+ (hrow : ∀ y, (∑ x : H, shiftKernel weight lines p K x y) ≤ C)
251
+ (hpair : (∑ x : H, ∑ y : H, shiftKernel weight lines p K x y) ≤ C ^ 2)
252
+ (hDsum : (∑ x : H, independentWeight weight rate lines R J base x) ≤ D₀)
253
+ (E : Finset V) (g : V → H) :
254
+ completionSum E g (badExpansion
255
+ (fun u f => independentWeight weight rate lines R J base (f u) +
256
+ alpha weight (lines ∘ f) (1 / (100 * p)) u ^ K)
257
+ (fun A f => vertexBadMass weight rate (lines ∘ f) (1 / (100 * p)) R J A) E) ≤
258
+ (D₀ + 2 * ((Fintype.card V + 1 : ℝ) * C)) ^ E.card := by
259
+ apply all_singleton_enumeration
260
+ (fun u f => alpha weight (lines ∘ f) (1 / (100 * p)) u ^ K)
261
+ (fun _ x => independentWeight weight rate lines R J base x)
262
+ (fun A f => vertexBadMass weight rate (lines ∘ f) (1 / (100 * p)) R J A)
263
+ (shiftKernel weight lines p K) C D₀ hC hD
264
+ · intro u f
265
+ exact ⟨pow_nonneg (alpha_nonneg _ _ _ _) _,
266
+ pow_le_one₀ (alpha_nonneg _ _ _ _) (by
267
+ have := source_alpha_le weight (lines ∘ f) hp hc u
268
+ linarith)⟩
269
+ · exact fun _ x => independentWeight_nonneg weight rate lines R J base x
270
+ · exact fun _ => hDsum
271
+ · exact fun x y => (shiftKernel_range weight lines p K x y).1
272
+ · exact fun A f => vertexBadMass_nonneg _ _ _ _ _ _ _
273
+ · exact fun A A' hh f => vertexBadMass_antitone _ _ _ _ _ _ hh
274
+ · exact fun u f => shift_le_kernel_sum weight lines hp hc (by omega) u f
275
+ · exact hrow
276
+ · exact hpair
277
+ · intro A g
278
+ apply (actual_bad_completion weight rate lines (1 / (100 * p)) R denom b mass
279
+ hd hb hm hmass K J h N₁ N₂ hK hh low hsize herr hN₁ hN₂ A g).trans
280
+ apply pow_le_pow_left₀ _ hBC
281
+ apply mul_nonneg hd.le
282
+ have hn := branchingBound_nonneg (V := V) (B := Fin R)
283
+ (fun z : H × V => lines z.1) rate denom b mass hd.le (by linarith) hm K
284
+ (N₁ * Fintype.card V) (N₂ * Fintype.card V) low
285
+ linarith
286
+
287
+ end SharpRamseyFive.SingletonEnumeration
288
+
289
+ namespace SharpRamseyFive.SingletonEnumeration
290
+ open MeasureTheory ProbabilityTheory
291
+ open scoped BigOperators NNReal
292
+ open SharpRamseyFive.PoissonScore SharpRamseyFive.TupleComponents
293
+ open SharpRamseyFive.Designations SharpRamseyFive.AmbientDesignations
294
+ open SharpRamseyFive.SelectionBridge SharpRamseyFive.WeightedPrograms
295
+ open SharpRamseyFive.ResidualElimination
296
+ open Classical
297
+ variable {D V H : Type} [Fintype D] [DecidableEq D] [Fintype V] [DecidableEq V]
298
+ [Fintype H] [DecidableEq H]
299
+
300
+ lemma inside_sum_le {C : Type} [Fintype C] [DecidableEq C]
301
+ (label : D → Option C) (c : C) (S : Finset D) (F : D → ℝ) (hF : ∀ d, 0 ≤ F d) :
302
+ (∑ d ∈ inside label c S, F d) ≤ ∑ d ∈ S, F d := by
303
+ have hi : Function.Injective (Subtype.val : IntDir label c → D) := Subtype.val_injective
304
+ rw [← Finset.sum_image (hi.injOn)]
305
+ apply Finset.sum_le_sum_of_subset_of_nonneg
306
+ · intro d hd
307
+ rcases Finset.mem_image.mp hd with ⟨e,he,rfl⟩
308
+ exact (Finset.mem_filter.mp he).2
309
+ · exact fun d _ _ => hF d
310
+
311
+ omit [Fintype H] [DecidableEq H] in
312
+ lemma extraWeight_le_independent (weight : D → ℝ≥0) (lines : H → Finset D)
313
+ (f : V → H) (t : ℝ) (R J K : ℕ) (L : ℝ≥0) (base : ℝ)
314
+ (c : Components weight (lines ∘ f) t) :
315
+ extraWeight weight (lines ∘ f) t R J K L base c ≤
316
+ independentWeight weight (fun d => L * weight d) lines R J base
317
+ (f (vertex weight (lines ∘ f) t c)) +
318
+ alpha weight (lines ∘ f) t (vertex weight (lines ∘ f) t c) ^ K := by
319
+ unfold extraWeight independentWeight delta
320
+ have h := inside_sum_le (componentLabel weight (lines ∘ f) t) c
321
+ ((lines ∘ f) (vertex weight (lines ∘ f) t c))
322
+ (fun d => ((R : ℝ) * ((L * weight d : ℝ≥0) : ℝ)) ^ J) (fun _ => by positivity)
323
+ dsimp only [Function.comp_def] at *
324
+ split_ifs <;> linarith
325
+
326
+ omit [Fintype H] [DecidableEq H] in
327
+
328
+ theorem designation_sum_le_vertex (weight : D → ℝ≥0) (lines : H → Finset D)
329
+ (f : V → H) (t : ℝ) (R J K : ℕ) (L : ℝ≥0) (base : ℝ) :
330
+ let s := lines ∘ f
331
+ let S := simpleSet weight s t
332
+ let E := S.image (vertex weight s t)
333
+ (∑ U ∈ S.powerset, (∏ c ∈ S \ U, extraWeight weight s t R J K L base c) *
334
+ badMass (batchMeasure (fun i : Block (componentLabel weight s t) R none => L * weight i.1.2))
335
+ (blockTrunc (componentLabel weight s t) R J none) (isBad weight s t R) U) ≤
336
+ badExpansion
337
+ (fun u f => independentWeight weight (fun d => L * weight d) lines R J base (f u) +
338
+ alpha weight (lines ∘ f) t u ^ K)
339
+ (fun A f => vertexBadMass weight (fun d => L * weight d) (lines ∘ f) t R J A) E f := by
340
+ dsimp only
341
+ unfold badExpansion
342
+ rw [Finset.powerset_image, Finset.sum_image
343
+ (Finset.image_injective (vertex_injective weight (lines ∘ f) t)).injOn]
344
+ apply Finset.sum_le_sum
345
+ intro U hU
346
+ rw [← Finset.image_sdiff _ _ (vertex_injective weight (lines ∘ f) t),
347
+ Finset.prod_image (vertex_injective weight (lines ∘ f) t).injOn,
348
+ component_bad_mass_eq_vertex weight (fun d => L * weight d) (lines ∘ f) t R J U]
349
+ apply mul_le_mul_of_nonneg_right _ (vertexBadMass_nonneg _ _ _ _ _ _ _)
350
+ apply Finset.prod_le_prod₀
351
+ · exact fun c _ => extraWeight_nonneg _ _ _ _ _ _ _ _ c
352
+ · exact fun c _ => extraWeight_le_independent weight lines f t R J K L base c
353
+
354
+ end SharpRamseyFive.SingletonEnumeration
355
+
356
+ namespace SharpRamseyFive.ResidualElimination
357
+ open scoped BigOperators
358
+ open Classical
359
+ variable {V H C : Type} [Fintype V] [DecidableEq V] [Fintype H] [DecidableEq H]
360
+ [DecidableEq C]
361
+
362
+ theorem disjoint_blocks_exposure (E : Finset V) (I : Finset C) (T : C → Finset V)
363
+ (Win : (c : C) → (T c → H) → ℝ) (M : C → ℝ)
364
+ (hw : ∀ c x, 0 ≤ Win c x) (hM : ∀ c, 0 ≤ M c)
365
+ (hwithin : ∀ c ∈ I, T c ⊆ E)
366
+ (hdisj : ∀ c ∈ I, ∀ d ∈ I, c ≠ d → Disjoint (T c) (T d))
367
+ (hsum : ∀ c ∈ I, (∑ x : T c → H, Win c x) ≤ M c)
368
+ (F : (V → H) → ℝ) (K : ℝ) (hK : 0 ≤ K)
369
+ (hres : ∀ g, completionSum (E \ I.biUnion T) g F ≤ K) (g : V → H) :
370
+ completionSum E g (fun f => (∏ c ∈ I, Win c (fun v => f v)) * F f) ≤
371
+ (∏ c ∈ I, M c) * K := by
372
+ induction I using Finset.induction generalizing E g with
373
+ | empty => simpa using hres g
374
+ | @insert c I hc ih =>
375
+ have hwi : T c ⊆ E := hwithin c (Finset.mem_insert_self c I)
376
+ have hrwithin : ∀ d ∈ I, T d ⊆ E \ T c := by
377
+ intro d hd v hv
378
+ refine Finset.mem_sdiff.mpr ⟨hwithin d (Finset.mem_insert_of_mem hd) hv, ?_⟩
379
+ intro hvc
380
+ exact Finset.disjoint_left.mp
381
+ (hdisj d (Finset.mem_insert_of_mem hd) c (Finset.mem_insert_self _ _)
382
+ (by intro he; subst d; exact hc hd)) hv hvc
383
+ have he : (E \ T c) \ I.biUnion T = E \ (insert c I).biUnion T := by
384
+ ext v
385
+ simp only [Finset.mem_sdiff, Finset.biUnion_insert, Finset.mem_union]
386
+ tauto
387
+ have hr (g : V → H) :
388
+ completionSum (E \ T c) g
389
+ (fun f => (∏ d ∈ I, Win d (fun v => f v)) * F f) ≤ (∏ d ∈ I, M d) * K := by
390
+ apply ih (E \ T c) hrwithin
391
+ (fun d hd e he hne => hdisj d (Finset.mem_insert_of_mem hd)
392
+ e (Finset.mem_insert_of_mem he) hne)
393
+ (fun d hd => hsum d (Finset.mem_insert_of_mem hd))
394
+ intro g
395
+ rw [he]
396
+ exact hres g
397
+ simp_rw [Finset.prod_insert hc, mul_assoc]
398
+ apply (weighted_block_exposure E (T c) hwi g (Win c) (hw c)
399
+ (fun f => (∏ d ∈ I, Win d (fun v => f v)) * F f)
400
+ ((∏ d ∈ I, M d) * K) hr).trans
401
+ exact mul_le_mul_of_nonneg_right (hsum c (Finset.mem_insert_self _ _))
402
+ (mul_nonneg (Finset.prod_nonneg (fun d _ => hM d)) hK)
403
+
404
+ end SharpRamseyFive.ResidualElimination
405
+
406
+ namespace SharpRamseyFive.ComponentPartition
407
+ open scoped BigOperators
408
+ open Classical
409
+ variable {V C : Type} [Fintype V] [DecidableEq V] [Fintype C] [DecidableEq C]
410
+
411
+ noncomputable def fiber (r : V → C) (c : C) : Finset V :=
412
+ Finset.univ.filter (fun v => r v = c)
413
+ noncomputable def singles (r : V → C) : Finset V :=
414
+ Finset.univ.filter (fun v => (fiber r (r v)).card = 1)
415
+ noncomputable def largeLabels (r : V → C) : Finset C :=
416
+ Finset.univ.filter (fun c => 2 ≤ (fiber r c).card)
417
+
418
+ omit [DecidableEq V] [Fintype C] in
419
+ @[simp] lemma mem_fiber (r : V → C) (c : C) (v : V) : v ∈ fiber r c ↔ r v = c := by
420
+ simp [fiber]
421
+ omit [DecidableEq V] [Fintype C] in
422
+ @[simp] lemma mem_singles (r : V → C) (v : V) :
423
+ v ∈ singles r ↔ (fiber r (r v)).card = 1 := by simp [singles]
424
+ omit [DecidableEq V] in
425
+ @[simp] lemma mem_largeLabels (r : V → C) (c : C) :
426
+ c ∈ largeLabels r ↔ 2 ≤ (fiber r c).card := by simp [largeLabels]
427
+ omit [DecidableEq V] [Fintype C] in
428
+
429
+ lemma self_mem_fiber (r : V → C) (v : V) : v ∈ fiber r (r v) := by simp
430
+ omit [DecidableEq V] [Fintype C] in
431
+ lemma fiber_card_pos (r : V → C) (v : V) : 0 < (fiber r (r v)).card :=
432
+ Finset.card_pos.mpr ⟨v,self_mem_fiber r v⟩
433
+ omit [DecidableEq V] [Fintype C] in
434
+
435
+ lemma fiber_disjoint (r : V → C) {c d : C} (hne : c ≠ d) :
436
+ Disjoint (fiber r c) (fiber r d) := by
437
+ apply Finset.disjoint_left.mpr
438
+ intro v hc hd
439
+ exact hne ((mem_fiber r c v).mp hc |>.symm.trans ((mem_fiber r d v).mp hd))
440
+
441
+ lemma large_union (r : V → C) : (largeLabels r).biUnion (fiber r) = Finset.univ \ singles r := by
442
+ ext v
443
+ simp only [Finset.mem_biUnion, mem_largeLabels, mem_fiber, Finset.mem_sdiff,
444
+ Finset.mem_univ, true_and, mem_singles]
445
+ constructor
446
+ · rintro ⟨c,hc,he⟩
447
+ rw [he]
448
+ omega
449
+ · intro hv
450
+ exact ⟨r v,by have := fiber_card_pos r v; omega,rfl⟩
451
+ end SharpRamseyFive.ComponentPartition
452
+ end
453
+
454
+ end OAI
lean/OAI/Combinatorics/SharpRamsey/Entropy/PoissonLaw.lean ADDED
@@ -0,0 +1,465 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ import Mathlib
2
+
3
+ namespace OAI
4
+
5
+ /-! High moments, finite-field subspaces, and incidence bounds. -/
6
+
7
+ section
8
+ open MeasureTheory ProbabilityTheory
9
+ open scoped BigOperators NNReal
10
+ open MeasureTheory ProbabilityTheory
11
+ open scoped BigOperators NNReal
12
+ namespace SharpRamseyFive.StaticCertificates
13
+ variable {ι : Type*} [Fintype ι] [DecidableEq ι]
14
+ noncomputable def poissonLaw (rate : ι → ℝ≥0) : Measure (ι → ℕ) :=
15
+ Measure.pi (fun i => poissonMeasure (rate i))
16
+
17
+ instance flat_HighMomentRecovered_3 (rate : ι → ℝ≥0) : IsProbabilityMeasure (poissonLaw rate) := by
18
+ unfold poissonLaw
19
+ infer_instance
20
+
21
+ def positiveEvent (C : Finset ι) : Set (ι → ℕ) :=
22
+ (C : Set ι).pi (fun _ => ({0} : Set ℕ)ᶜ)
23
+
24
+ noncomputable def certificateIndicator (C : Finset ι) (ω : ι → ℕ) : ℝ :=
25
+ (positiveEvent C).indicator (fun _ => 1) ω
26
+
27
+ noncomputable def weight (rate : ι → ℝ≥0) (C : Finset ι) : ℝ :=
28
+ ∏ i ∈ C, (rate i : ℝ)
29
+
30
+ omit [Fintype ι] [DecidableEq ι] in
31
+ lemma measurableSet_positiveEvent (C : Finset ι) : MeasurableSet (positiveEvent C) :=
32
+ MeasurableSet.pi C.finite_toSet.countable (fun _ _ => (measurableSet_singleton 0).compl)
33
+ omit [DecidableEq ι] in
34
+
35
+ lemma integrable_certificateIndicator (rate : ι → ℝ≥0) (C : Finset ι) :
36
+ Integrable (certificateIndicator C) (poissonLaw rate) :=
37
+ (integrable_const (1 : ℝ)).indicator (measurableSet_positiveEvent C)
38
+
39
+ omit [Fintype ι] [DecidableEq ι] in
40
+ lemma indicator_nonneg (C : Finset ι) (ω : ι → ℕ) :
41
+ 0 ≤ certificateIndicator C ω := by
42
+ exact Set.indicator_nonneg (fun _ _ => zero_le_one) _
43
+ omit [DecidableEq ι] in
44
+
45
+ lemma integral_certificateIndicator (rate : ι → ℝ≥0) (C : Finset ι) :
46
+ (∫ ω, certificateIndicator C ω ∂poissonLaw rate) =
47
+ ∏ i ∈ C, (1 - Real.exp (-(rate i : ℝ))) := by
48
+ unfold certificateIndicator
49
+ rw [integral_indicator_const _ (measurableSet_positiveEvent C)]
50
+ simp only [smul_eq_mul, mul_one]
51
+ rw [Measure.real, poissonLaw, positiveEvent, Measure.pi_pi_finset,
52
+ ENNReal.toReal_prod]
53
+ apply Finset.prod_congr rfl
54
+ intro i _
55
+ rw [← Measure.real, measureReal_compl (measurableSet_singleton 0),
56
+ probReal_univ, Measure.real, poissonMeasure_singleton]
57
+ simp only [pow_zero, Nat.factorial_zero, Nat.cast_one, mul_one, div_one]
58
+ rw [ENNReal.toReal_ofReal (Real.exp_pos _).le]
59
+ omit [DecidableEq ι] in
60
+
61
+ lemma integral_certificateIndicator_le (rate : ι → ℝ≥0) (C : Finset ι) :
62
+ (∫ ω, certificateIndicator C ω ∂poissonLaw rate) ≤ weight rate C := by
63
+ rw [integral_certificateIndicator]
64
+ apply Finset.prod_le_prod₀
65
+ · intro i _
66
+ have he := Real.exp_le_one_iff.mpr (neg_nonpos.mpr (rate i).coe_nonneg)
67
+ linarith
68
+ · intro i _
69
+ have he := Real.add_one_le_exp (-(rate i : ℝ))
70
+ linarith
71
+
72
+ omit [Fintype ι] [DecidableEq ι] in
73
+ lemma weight_nonneg (rate : ι → ℝ≥0) (C : Finset ι) : 0 ≤ weight rate C := by
74
+ exact Finset.prod_nonneg (fun i _ => (rate i).coe_nonneg)
75
+
76
+ omit [Fintype ι] in
77
+
78
+ lemma weight_union (rate : ι → ℝ≥0) (C D : Finset ι) :
79
+ weight rate (C ∪ D) = weight rate C * weight rate (D \ C) := by
80
+ unfold weight
81
+ rw [← Finset.prod_union (Finset.disjoint_sdiff)]
82
+ congr 1
83
+ ext i
84
+ simp only [Finset.mem_union, Finset.mem_sdiff]
85
+ tauto
86
+
87
+ omit [Fintype ι] in
88
+ lemma positiveEvent_union (C D : Finset ι) :
89
+ positiveEvent (C ∪ D) = positiveEvent C ∩ positiveEvent D := by
90
+ ext ω
91
+ simp [positiveEvent, Set.mem_pi, or_imp, forall_and]
92
+
93
+ omit [DecidableEq ι] in
94
+
95
+ theorem static_union_bound {κ : Type*} (D : Finset κ) (requirements : κ → Finset ι)
96
+ (rate : ι → ℝ≥0) (E : Set (ι → ℕ)) (hE : MeasurableSet E)
97
+ (hcover : ∀ ω ∈ E, ∃ c ∈ D, ω ∈ positiveEvent (requirements c)) :
98
+ (poissonLaw rate).real E ≤ ∑ c ∈ D, weight rate (requirements c) := by
99
+ have hp (ω : ι → ℕ) : E.indicator (fun _ => (1 : ℝ)) ω ≤
100
+ ∑ c ∈ D, certificateIndicator (requirements c) ω := by
101
+ by_cases hω : ω ∈ E
102
+ · obtain ⟨c, hc, he⟩ := hcover ω hω
103
+ have := Finset.single_le_sum (f := fun c => certificateIndicator (requirements c) ω)
104
+ (fun c _ => indicator_nonneg _ _) hc
105
+ simpa [certificateIndicator, he, hω] using this
106
+ · simp only [Set.indicator_of_notMem hω]
107
+ exact Finset.sum_nonneg (fun c _ => indicator_nonneg _ _)
108
+ calc
109
+ _ = ∫ ω, E.indicator (fun _ => (1 : ℝ)) ω ∂poissonLaw rate := by
110
+ rw [integral_indicator_const _ hE]
111
+ simp
112
+ _ ≤ ∫ ω, ∑ c ∈ D, certificateIndicator (requirements c) ω ∂poissonLaw rate :=
113
+ integral_mono ((integrable_const (1 : ℝ)).indicator hE)
114
+ (integrable_finsetSum _ (fun c _ => integrable_certificateIndicator _ _)) hp
115
+ _ = ∑ c ∈ D, ∫ ω, certificateIndicator (requirements c) ω ∂poissonLaw rate :=
116
+ integral_finsetSum _ (fun c _ => integrable_certificateIndicator _ _)
117
+ _ ≤ _ := Finset.sum_le_sum (fun c _ => integral_certificateIndicator_le _ _)
118
+
119
+ section PairWitnesses
120
+
121
+ variable {κ : Type*} [Fintype κ] [DecidableEq κ]
122
+
123
+ def witnessRequirements (T : Finset κ) (S : Finset ι) (f : T → S) : Finset (κ × ι) :=
124
+ T.attach.image (fun r => (r.val, (f r).val))
125
+
126
+ omit [Fintype ι] [Fintype κ] in
127
+ lemma witnessRequirements_card (T : Finset κ) (S : Finset ι) (f : T → S) :
128
+ (witnessRequirements T S f).card = T.card := by
129
+ rw [witnessRequirements, Finset.card_image_of_injective]
130
+ · exact Finset.card_attach
131
+ · intro a b h
132
+ exact Subtype.ext (congrArg Prod.fst h)
133
+
134
+ omit [Fintype ι] [Fintype κ] in
135
+ lemma witness_weight (rate : ι → ℝ≥0) (T : Finset κ) (S : Finset ι) (f : T → S) :
136
+ weight (fun p : κ × ι => rate p.2) (witnessRequirements T S f) =
137
+ ∏ r : T, (rate (f r) : ℝ) := by
138
+ unfold weight witnessRequirements
139
+ rw [Finset.prod_image]
140
+ · rw [Finset.univ_eq_attach T]
141
+ · intro a _ b _ h
142
+ exact Subtype.ext (congrArg Prod.fst h)
143
+ omit [Fintype ι] [Fintype κ] in
144
+
145
+ lemma sum_witness_weight (rate : ι → ℝ≥0) (T : Finset κ) (S : Finset ι) :
146
+ (∑ f : T → S, weight (fun p : κ × ι => rate p.2) (witnessRequirements T S f)) =
147
+ (∑ i ∈ S, (rate i : ℝ)) ^ T.card := by
148
+ simp_rw [witness_weight]
149
+ rw [← Fintype.prod_sum (fun (_r : T) (i : S) => (rate i : ℝ))]
150
+ rw [Finset.sum_coe_sort S (fun i => (rate i : ℝ))]
151
+ simp
152
+
153
+ omit [Fintype ι] in
154
+
155
+ theorem pair_certificate_weight (rate : ι → ℝ≥0) (S : Finset ι) (K : ℕ) :
156
+ (∑ T ∈ (Finset.univ : Finset κ).powersetCard K,
157
+ ∑ f : T → S, weight (fun p : κ × ι => rate p.2) (witnessRequirements T S f)) =
158
+ (Fintype.card κ).choose K * (∑ i ∈ S, (rate i : ℝ)) ^ K := by
159
+ simp_rw [sum_witness_weight]
160
+ calc
161
+ _ = ∑ _T ∈ (Finset.univ : Finset κ).powersetCard K,
162
+ (∑ i ∈ S, (rate i : ℝ)) ^ K := by
163
+ apply Finset.sum_congr rfl
164
+ intro T hT
165
+ rw [(Finset.mem_powersetCard.mp hT).2]
166
+ _ = _ := by simp
167
+
168
+ omit [Fintype ι] in
169
+
170
+ theorem pair_certificate_weight_le (rate : ι → ℝ≥0) (S : Finset ι) (K : ℕ) :
171
+ (∑ T ∈ (Finset.univ : Finset κ).powersetCard K,
172
+ ∑ f : T → S, weight (fun p : κ × ι => rate p.2) (witnessRequirements T S f)) ≤
173
+ ((Fintype.card κ : ℝ) * ∑ i ∈ S, (rate i : ℝ)) ^ K := by
174
+ rw [pair_certificate_weight, mul_pow]
175
+ apply mul_le_mul_of_nonneg_right
176
+ · exact_mod_cast Nat.choose_le_pow (Fintype.card κ) K
177
+ · positivity
178
+
179
+ omit [Fintype ι] [Fintype κ] in
180
+
181
+ theorem pair_witness_exists (S : Finset ι) (T : Finset κ) (ω : κ × ι → ℕ)
182
+ (hT : ∀ r ∈ T, ∃ i ∈ S, ω (r, i) ≠ 0) :
183
+ ∃ f : T → S, ω ∈ positiveEvent (witnessRequirements T S f) := by
184
+ classical
185
+ have h (r : T) : ∃ i : S, ω (r.val, i.val) ≠ 0 := by
186
+ obtain ⟨i, hi, he⟩ := hT r r.property
187
+ exact ⟨⟨i, hi⟩, he⟩
188
+ choose f hf using h
189
+ refine ⟨f, ?_⟩
190
+ intro p hp
191
+ obtain ⟨r, _, rfl⟩ := Finset.mem_image.mp hp
192
+ exact hf r
193
+
194
+ def dictionary (C : Finset (κ × ι)) : Finset ι := C.image Prod.snd
195
+
196
+ omit [Fintype ι] [Fintype κ] [DecidableEq κ] in
197
+ lemma direction_mem_dictionary {C : Finset (κ × ι)} {r : κ} {i : ι}
198
+ (h : (r, i) ∈ C) : i ∈ dictionary C := Finset.mem_image_of_mem _ h
199
+ omit [Fintype ι] [Fintype κ] in
200
+
201
+ lemma witnessRequirements_disjoint {C : Finset (κ × ι)} (T : Finset κ) (S : Finset ι)
202
+ (f : T → S) (hnew : Disjoint S (dictionary C)) :
203
+ Disjoint C (witnessRequirements T S f) := by
204
+ apply Finset.disjoint_left.mpr
205
+ intro p hp hp'
206
+ obtain ⟨r, _, hr⟩ := Finset.mem_image.mp hp'
207
+ have he := congrArg Prod.snd hr
208
+ have hf : p.2 ∈ S := he ▸ (f r).property
209
+ exact Finset.disjoint_left.mp hnew hf (direction_mem_dictionary hp)
210
+
211
+ omit [Fintype ι] [Fintype κ] in
212
+ lemma weight_union_fresh (rate : κ × ι → ℝ≥0) (C D : Finset (κ × ι))
213
+ (hfresh : Disjoint C D) : weight rate (C ∪ D) = weight rate C * weight rate D := by
214
+ exact Finset.prod_union hfresh
215
+
216
+ omit [Fintype ι] [Fintype κ] in
217
+
218
+ theorem pair_dictionary_extension (rate : ι → ℝ≥0) (C : Finset (κ × ι))
219
+ (T : Finset κ) (S : Finset ι) (f : T → S) (hnew : Disjoint S (dictionary C)) :
220
+ weight (fun p : κ × ι => rate p.2) (C ∪ witnessRequirements T S f) =
221
+ weight (fun p : κ × ι => rate p.2) C * ∏ r : T, (rate (f r) : ℝ) := by
222
+ rw [weight_union_fresh _ _ _ (witnessRequirements_disjoint T S f hnew), witness_weight]
223
+
224
+ def anchorRequirements (C : Finset (κ × ι)) (r : κ) (i : ι) : Finset (κ × ι) :=
225
+ if i ∈ dictionary C then ∅ else {(r, i)}
226
+ omit [Fintype ι] [Fintype κ] [DecidableEq κ] in
227
+
228
+ lemma anchorRequirements_disjoint (C : Finset (κ × ι)) (r : κ) (i : ι) :
229
+ Disjoint C (anchorRequirements C r i) := by
230
+ unfold anchorRequirements
231
+ split_ifs with h
232
+ · exact Finset.disjoint_empty_right _
233
+ · simp only [Finset.disjoint_singleton_right]
234
+ exact fun hi => h (direction_mem_dictionary hi)
235
+
236
+ omit [Fintype ι] [Fintype κ] [DecidableEq κ] in
237
+ lemma anchorRequirements_weight (rate : ι → ℝ≥0) (C : Finset (κ × ι))
238
+ (r : κ) (i : ι) :
239
+ weight (fun p : κ × ι => rate p.2) (anchorRequirements C r i) =
240
+ if i ∈ dictionary C then 1 else (rate i : ℝ) := by
241
+ unfold anchorRequirements weight
242
+ split_ifs <;> simp
243
+ omit [Fintype ι] [Fintype κ] in
244
+
245
+ lemma anchor_dictionary_extension (rate : ι → ℝ≥0) (C : Finset (κ × ι))
246
+ (r : κ) (i : ι) :
247
+ weight (fun p : κ × ι => rate p.2) (C ∪ anchorRequirements C r i) =
248
+ weight (fun p : κ × ι => rate p.2) C *
249
+ (if i ∈ dictionary C then 1 else (rate i : ℝ)) := by
250
+ rw [weight_union_fresh _ _ _ (anchorRequirements_disjoint C r i), anchorRequirements_weight]
251
+ omit [Fintype ι] [Fintype κ] in
252
+
253
+ lemma anchor_dictionary_subset (C : Finset (κ × ι)) (r : κ) (i : ι) :
254
+ dictionary (C ∪ anchorRequirements C r i) ⊆ insert i (dictionary C) := by
255
+ intro d hd
256
+ obtain ⟨p, hp, rfl⟩ := Finset.mem_image.mp hd
257
+ rcases Finset.mem_union.mp hp with hp | hp
258
+ · exact Finset.mem_insert_of_mem (direction_mem_dictionary hp)
259
+ · unfold anchorRequirements at hp
260
+ split_ifs at hp with h
261
+ · simp at hp
262
+ · have he := Finset.mem_singleton.mp hp
263
+ rw [he]
264
+ exact Finset.mem_insert_self _ _
265
+
266
+ omit [Fintype ι] [Fintype κ] [DecidableEq κ] in
267
+
268
+ lemma old_reference_has_hit (C : Finset (κ × ι)) (i : ι) (hi : i ∈ dictionary C)
269
+ (ω : (κ × ι) → ℕ) (hω : ω ∈ positiveEvent C) : ∃ r, ω (r, i) ≠ 0 := by
270
+ obtain ⟨p, hp, hpi⟩ := Finset.mem_image.mp hi
271
+ refine ⟨p.1, ?_⟩
272
+ have hh := hω p hp
273
+ simpa [← hpi] using hh
274
+
275
+ omit [Fintype ι] [DecidableEq κ] in
276
+
277
+ theorem anchor_choice_weight_le (rate : ι → ℝ≥0) (C : Finset (κ × ι)) (S : Finset ι) :
278
+ (∑ _i ∈ S ∩ dictionary C, (1 : ℝ)) +
279
+ (∑ _r : κ, ∑ i ∈ S \ dictionary C, (rate i : ℝ)) ≤
280
+ (dictionary C).card + Fintype.card κ * ∑ i ∈ S, (rate i : ℝ) := by
281
+ apply add_le_add
282
+ · simp only [Finset.sum_const, nsmul_eq_mul, mul_one]
283
+ exact_mod_cast Finset.card_le_card (Finset.inter_subset_right (s₁ := S))
284
+ · simp only [Finset.sum_const, Finset.card_univ, nsmul_eq_mul]
285
+ apply mul_le_mul_of_nonneg_left _ (Nat.cast_nonneg _)
286
+ exact Finset.sum_le_sum_of_subset_of_nonneg (Finset.sdiff_subset)
287
+ (by intro i _ _; exact (rate i).coe_nonneg)
288
+
289
+ omit [Fintype ι] [Fintype κ] [DecidableEq κ] in
290
+ lemma dictionary_card_le (C : Finset (κ × ι)) : (dictionary C).card ≤ C.card :=
291
+ Finset.card_image_le
292
+
293
+ omit [Fintype ι] [Fintype κ] [DecidableEq κ] in
294
+ lemma anchorRequirements_card_le (C : Finset (κ × ι)) (r : κ) (i : ι) :
295
+ (anchorRequirements C r i).card ≤ 1 := by
296
+ unfold anchorRequirements
297
+ split_ifs <;> simp
298
+ omit [Fintype ι] [Fintype κ] in
299
+
300
+ lemma anchor_extension_card (C : Finset (κ × ι)) (r : κ) (i : ι) :
301
+ (C ∪ anchorRequirements C r i).card ≤ C.card + 1 :=
302
+ (Finset.card_union_le _ _).trans (Nat.add_le_add_left (anchorRequirements_card_le C r i) _)
303
+ omit [Fintype ι] [Fintype κ] in
304
+
305
+ lemma pair_extension_card (C : Finset (κ × ι)) (T : Finset κ) (S : Finset ι) (f : T → S) :
306
+ (C ∪ witnessRequirements T S f).card ≤ C.card + T.card := by
307
+ simpa only [witnessRequirements_card] using Finset.card_union_le C (witnessRequirements T S f)
308
+
309
+ abbrev AnchorChoice (C : Finset (κ × ι)) (S : Finset ι) :=
310
+ {i // i ∈ S ∩ dictionary C} ⊕ (κ × {i // i ∈ S \ dictionary C})
311
+
312
+ def AnchorChoice.direction {C : Finset (κ × ι)} {S : Finset ι} : AnchorChoice C S → ι
313
+ | .inl d => d.val
314
+ | .inr rd => rd.2.val
315
+
316
+ def AnchorChoice.requirements {C : Finset (κ × ι)} {S : Finset ι} :
317
+ AnchorChoice C S → Finset (κ × ι)
318
+ | .inl _ => ∅
319
+ | .inr rd => {(rd.1, rd.2.val)}
320
+
321
+ noncomputable def AnchorChoice.cost (rate : ι → ℝ≥0)
322
+ {C : Finset (κ × ι)} {S : Finset ι} : AnchorChoice C S → ℝ
323
+ | .inl _ => 1
324
+ | .inr rd => rate rd.2.val
325
+
326
+ omit [Fintype ι] [Fintype κ] [DecidableEq κ] in
327
+ lemma AnchorChoice.cost_nonneg (rate : ι → ℝ≥0)
328
+ {C : Finset (κ × ι)} {S : Finset ι} (x : AnchorChoice C S) : 0 ≤ x.cost rate := by
329
+ cases x <;> simp [AnchorChoice.cost]
330
+
331
+ omit [Fintype ι] [Fintype κ] [DecidableEq κ] in
332
+ lemma AnchorChoice.direction_mem {C : Finset (κ × ι)} {S : Finset ι}
333
+ (x : AnchorChoice C S) : x.direction ∈ S := by
334
+ cases x with
335
+ | inl d => exact (Finset.mem_inter.mp d.property).1
336
+ | inr rd => exact (Finset.mem_sdiff.mp rd.2.property).1
337
+ omit [Fintype ι] [Fintype κ] [DecidableEq κ] in
338
+
339
+ lemma AnchorChoice.fresh {C : Finset (κ × ι)} {S : Finset ι}
340
+ (x : AnchorChoice C S) : Disjoint C x.requirements := by
341
+ cases x with
342
+ | inl d => exact Finset.disjoint_empty_right _
343
+ | inr rd =>
344
+ apply Finset.disjoint_singleton_right.mpr
345
+ intro he
346
+ exact (Finset.mem_sdiff.mp rd.2.property).2 (direction_mem_dictionary he)
347
+
348
+ omit [Fintype ι] [Fintype κ] [DecidableEq κ] in
349
+ lemma AnchorChoice.weight (rate : ι → ℝ≥0)
350
+ {C : Finset (κ × ι)} {S : Finset ι} (x : AnchorChoice C S) :
351
+ weight (fun p : κ × ι => rate p.2) x.requirements = x.cost rate := by
352
+ cases x <;> simp [AnchorChoice.requirements, StaticCertificates.weight, AnchorChoice.cost]
353
+
354
+ omit [Fintype ι] [Fintype κ] [DecidableEq κ] in
355
+ lemma AnchorChoice.distinct_events {C : Finset (κ × ι)} {S : Finset ι}
356
+ (x y : AnchorChoice C S) (hne : x.direction ≠ y.direction) :
357
+ Disjoint x.requirements y.requirements := by
358
+ cases x with
359
+ | inl d => exact Finset.disjoint_empty_left _
360
+ | inr rd =>
361
+ cases y with
362
+ | inl d => exact Finset.disjoint_empty_right _
363
+ | inr re =>
364
+ apply Finset.disjoint_singleton_left.mpr
365
+ simp only [AnchorChoice.requirements, Finset.mem_singleton]
366
+ intro he
367
+ exact hne (congrArg Prod.snd he)
368
+
369
+ omit [Fintype ι] [Fintype κ] in
370
+
371
+ lemma two_anchor_extension_weight (rate : ι → ℝ≥0)
372
+ {C : Finset (κ × ι)} {S : Finset ι} (x y : AnchorChoice C S)
373
+ (hne : x.direction ≠ y.direction) :
374
+ weight (fun p : κ × ι => rate p.2) (C ∪ (x.requirements ∪ y.requirements)) =
375
+ weight (fun p : κ × ι => rate p.2) C * (x.cost rate * y.cost rate) := by
376
+ rw [weight_union_fresh _ _ _ (Finset.disjoint_union_right.mpr ⟨x.fresh, y.fresh⟩),
377
+ weight_union_fresh _ _ _ (x.distinct_events y hne), x.weight rate, y.weight rate]
378
+
379
+ omit [Fintype ι] [DecidableEq κ] in
380
+ lemma sum_anchor_cost (rate : ι → ℝ≥0) (C : Finset (κ × ι)) (S : Finset ι) :
381
+ (∑ x : AnchorChoice C S, x.cost rate) =
382
+ (S ∩ dictionary C).card + Fintype.card κ * ∑ i ∈ S \ dictionary C, (rate i : ℝ) := by
383
+ rw [Fintype.sum_sum_type]
384
+ simp only [AnchorChoice.cost, Finset.sum_const, Finset.card_univ,
385
+ Fintype.card_coe, nsmul_eq_mul, mul_one, Fintype.sum_prod_type]
386
+ rw [Finset.sum_coe_sort (S \ dictionary C) (fun i => (rate i : ℝ))]
387
+
388
+ omit [Fintype ι] [DecidableEq κ] in
389
+
390
+ theorem sum_anchor_cost_le (rate : ι → ℝ≥0) (C : Finset (κ × ι)) (S : Finset ι) :
391
+ (∑ x : AnchorChoice C S, x.cost rate) ≤
392
+ C.card + Fintype.card κ * ∑ i ∈ S, (rate i : ℝ) := by
393
+ rw [sum_anchor_cost]
394
+ apply add_le_add
395
+ · exact_mod_cast (Finset.card_le_card (Finset.inter_subset_right (s₁ := S))).trans
396
+ (dictionary_card_le C)
397
+ · apply mul_le_mul_of_nonneg_left _ (Nat.cast_nonneg _)
398
+ exact Finset.sum_le_sum_of_subset_of_nonneg Finset.sdiff_subset
399
+ (by intro i _ _; exact (rate i).coe_nonneg)
400
+
401
+ section AnchorGeometry
402
+ variable {H : Type*} [Fintype H] [DecidableEq H]
403
+
404
+ omit [DecidableEq H] in
405
+ omit [Fintype ι] [DecidableEq κ] in
406
+
407
+ theorem one_anchor_geometric_cost (rate : ι → ℝ≥0) (C : Finset (κ × ι))
408
+ (S : Finset ι) (lineSet : H → Finset ι) (N₁ : ℕ)
409
+ (hN : ∀ d, (Finset.univ.filter (fun H => d ∈ lineSet H)).card ≤ N₁) :
410
+ (∑ x : AnchorChoice C S, x.cost rate *
411
+ (Finset.univ.filter (fun H => x.direction ∈ lineSet H)).card) ≤
412
+ (N₁ : ℝ) * (C.card + Fintype.card κ * ∑ i ∈ S, (rate i : ℝ)) := by
413
+ calc
414
+ _ ≤ ∑ x : AnchorChoice C S, x.cost rate * N₁ := by
415
+ apply Finset.sum_le_sum
416
+ intro x _
417
+ apply mul_le_mul_of_nonneg_left _ (x.cost_nonneg rate)
418
+ exact_mod_cast hN x.direction
419
+ _ = (N₁ : ℝ) * ∑ x : AnchorChoice C S, x.cost rate := by
420
+ rw [← Finset.sum_mul, mul_comm]
421
+ _ ≤ _ := mul_le_mul_of_nonneg_left (sum_anchor_cost_le rate C S) (Nat.cast_nonneg _)
422
+
423
+ omit [DecidableEq H] in
424
+ omit [Fintype ι] [DecidableEq κ] in
425
+
426
+ theorem two_anchor_geometric_cost (rate : ι → ℝ≥0) (C : Finset (κ × ι))
427
+ (S : Finset ι) (lineSet : H → Finset ι) (N₂ : ℕ)
428
+ (hN : ∀ d e, d ≠ e →
429
+ (Finset.univ.filter (fun H => d ∈ lineSet H ∧ e ∈ lineSet H)).card ≤ N₂) :
430
+ (∑ x : AnchorChoice C S, ∑ y : AnchorChoice C S,
431
+ if x.direction ≠ y.direction then x.cost rate * y.cost rate *
432
+ (Finset.univ.filter (fun H => x.direction ∈ lineSet H ∧ y.direction ∈ lineSet H)).card
433
+ else 0) ≤
434
+ (N₂ : ℝ) * (C.card + Fintype.card κ * ∑ i ∈ S, (rate i : ℝ)) ^ 2 := by
435
+ classical
436
+ let A : ℝ := ∑ x : AnchorChoice C S, x.cost rate
437
+ have hA : 0 ≤ A := Finset.sum_nonneg (fun x _ => x.cost_nonneg rate)
438
+ calc
439
+ _ ≤ ∑ x : AnchorChoice C S, ∑ y : AnchorChoice C S,
440
+ x.cost rate * y.cost rate * N₂ := by
441
+ apply Finset.sum_le_sum
442
+ intro x _
443
+ apply Finset.sum_le_sum
444
+ intro y _
445
+ split_ifs with hxy
446
+ · apply mul_le_mul_of_nonneg_left _ (mul_nonneg (x.cost_nonneg rate) (y.cost_nonneg rate))
447
+ exact_mod_cast hN x.direction y.direction hxy
448
+ · exact mul_nonneg (mul_nonneg (x.cost_nonneg rate) (y.cost_nonneg rate)) (Nat.cast_nonneg _)
449
+ _ = (N₂ : ℝ) * A ^ 2 := by
450
+ simp only [Finset.sum_mul, Finset.mul_sum, A, pow_two]
451
+ apply Finset.sum_congr rfl
452
+ intro x _
453
+ apply Finset.sum_congr rfl
454
+ intro y _
455
+ ring
456
+ _ ≤ _ := by
457
+ apply mul_le_mul_of_nonneg_left _ (Nat.cast_nonneg _)
458
+ exact pow_le_pow_left₀ hA (sum_anchor_cost_le rate C S) 2
459
+
460
+ end AnchorGeometry
461
+ end PairWitnesses
462
+ end SharpRamseyFive.StaticCertificates
463
+ end
464
+
465
+ end OAI
lean/OAI/Combinatorics/SharpRamsey/Entropy/ProtocolEntropy.lean ADDED
@@ -0,0 +1,90 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ import Mathlib
2
+ import OAI.Combinatorics.SharpRamsey.Marking.MarkingDeficit
3
+
4
+ namespace OAI
5
+
6
+ section
7
+ namespace SharpLogRamsey.Selection
8
+ open Finset Real
9
+ open scoped Classical
10
+ noncomputable section
11
+ variable {Ω α Γ : Type*} [Fintype Ω] [Fintype α] [Fintype Γ]
12
+
13
+ theorem entropy_append_alphabet (p : Law Ω) (C : Ω→Γ) (F : Ω→α)
14
+ (D : Γ→Finset α) (hD : ∀ x,p.mass x≠0→F x∈D (C x)) :
15
+ entropy (p.map (fun x=>(F x,C x))) ≤ entropy (p.map C)+
16
+ ∑ x,p.mass x*log (D (C x)).card := by
17
+ rw [entropy_cond_chain,←p.sum_map C (fun c=>log (D c).card)]
18
+ apply add_le_add le_rfl
19
+ apply sum_le_sum
20
+ intro c _
21
+ by_cases hc : (p.map C).mass c=0
22
+ · simp [hc]
23
+ · apply mul_le_mul_of_nonneg_left _ ((p.map C).nonneg c)
24
+ apply entropy_mapped_support
25
+ intro x hx
26
+ obtain ⟨hp,he⟩ := p.cond_support C c hc x hx
27
+ simpa only [←he] using hD x hp
28
+
29
+ def ProtocolValid (D : ∀ n:ℕ,(Fin n→α)→Finset α) :
30
+ ∀ n:ℕ,(Fin n→α)→Prop
31
+ | 0,_ => True
32
+ | n+1,x => ProtocolValid D n (Fin.init x) ∧ x (Fin.last n)∈D n (Fin.init x)
33
+
34
+ noncomputable def protocolCost (D : ∀ n:ℕ,(Fin n→α)→Finset α) :
35
+ ∀ n:ℕ,(Fin n→α)→ℝ
36
+ | 0,_ => 0
37
+ | n+1,x => protocolCost D n (Fin.init x)+log (D n (Fin.init x)).card
38
+
39
+ omit [Fintype Γ] in
40
+
41
+ theorem protocol_entropy (p : Law Ω) (D : ∀ n:ℕ,(Fin n→α)→Finset α)
42
+ (n : ℕ) (F : Ω→Fin n→α) (hF : ∀ x,p.mass x≠0→ProtocolValid D n (F x)) :
43
+ entropy (p.map F)≤∑ x,p.mass x*protocolCost D n (F x) := by
44
+ induction n with
45
+ | zero =>
46
+ have h := entropy_le_log_card (p.map F) univ (fun x hx=>False.elim (hx (mem_univ x)))
47
+ simpa only [card_univ,Fintype.card_fun,Fintype.card_fin,pow_zero,
48
+ Nat.cast_one,log_one,protocolCost,mul_zero,sum_const_zero] using h
49
+ | succ n ih =>
50
+ let C := fun x=>Fin.init (F x)
51
+ let a := fun x=>F x (Fin.last n)
52
+ have hi := ih C (fun x hx=>(hF x hx).1)
53
+ have ha := entropy_append_alphabet p C a (D n) (fun x hx=>(hF x hx).2)
54
+ have he : entropy (p.map (fun x=>(a x,C x)))=entropy (p.map F) := by
55
+ have h := entropy_map_eq_of_leftInverse (p.map F)
56
+ (fun y:Fin (n+1)→α=>(y (Fin.last n),Fin.init y))
57
+ (fun z:α×(Fin n→α)=>Fin.snoc z.2 z.1) (fun y=>Fin.snoc_init_self y)
58
+ rw [Law.map_map] at h
59
+ exact h
60
+ rw [he] at ha
61
+ have hs : (∑ x,p.mass x*protocolCost D n (C x))+
62
+ (∑ x,p.mass x*log (D n (C x)).card)=
63
+ ∑ x,p.mass x*protocolCost D (n+1) (F x) := by
64
+ simp only [protocolCost,mul_add,sum_add_distrib,C]
65
+ rw [←hs]
66
+ linarith
67
+
68
+ omit [Fintype Γ] in
69
+
70
+ theorem protocol_entropy_maximum (p : Law Ω)
71
+ (D : ∀ n:ℕ,(Fin n→α)→Finset α) (n : ℕ) (F : Ω→Fin n→α) (K : ℝ)
72
+ (hF : ∀ x,p.mass x≠0→ProtocolValid D n (F x))
73
+ (hK : ∀ x,p.mass x≠0→protocolCost D n (F x)≤K) :
74
+ entropy (p.map F)≤K := by
75
+ apply (protocol_entropy p D n F hF).trans
76
+ calc
77
+ _ ≤ ∑ x,p.mass x*K := by
78
+ apply sum_le_sum
79
+ intro x _
80
+ by_cases hx : p.mass x=0
81
+ · simp [hx]
82
+ · exact mul_le_mul_of_nonneg_left (hK x hx) (p.nonneg x)
83
+ _ = K := by rw [←sum_mul,p.total,one_mul]
84
+
85
+ end
86
+ end SharpLogRamsey.Selection
87
+
88
+ end
89
+
90
+ end OAI
lean/OAI/Combinatorics/SharpRamsey/Entropy/ReciprocalEntropy.lean ADDED
@@ -0,0 +1,114 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ import Mathlib
2
+ import OAI.Combinatorics.SharpRamsey.Trees.PivotAlphabetCost
3
+ import OAI.Combinatorics.SharpRamsey.Trees.ChronologicalExecution
4
+ import OAI.Combinatorics.SharpRamsey.Execution.ExecutedOverhead
5
+
6
+ namespace OAI
7
+
8
+ section
9
+ namespace SharpLogRamsey.ActualPivot
10
+ open Finset Real Incidence Validation ScheduledBanks PublicTables ReadyTests
11
+ PivotGeometry ProjectiveDuality TreeDecoder FreshExecution ExecutedPotential
12
+ open scoped Classical BigOperators
13
+ noncomputable section
14
+ variable {K V : Type} [Field K] [Finite K] [AddCommGroup V] [Module K V]
15
+ [FiniteDimensional K V]
16
+ [Fintype (Projectivization K V)] [Fintype (Projectivization K (Module.Dual K V))]
17
+ [Fintype (Projectivization K (Module.Dual K (Module.Dual K V)))]
18
+ {I Ω : Type*} [Fintype I] [Fintype Ω]
19
+ {n : ℕ} {b τ P H : ℝ}
20
+
21
+ def Book.publicAlphabet (book : Book (K:=K) (V:=V) (Nat.card K) b τ P H (n+3))
22
+ (z : I→Banks (K:=K) (V:=V) b) (U : ChronoDomains (K:=K) (V:=V)) :
23
+ Finset (I×Code (K:=K) (V:=V) b) :=
24
+ univ.biUnion (fun i=>(book.allowed (z i).1 U.swap).image (fun c=>(i,c)))
25
+
26
+ variable (book : Book (K:=K) (V:=V) (Nat.card K) b τ P H (n+3))
27
+
28
+ omit [Finite K] in
29
+ lemma Book.mem_publicAlphabet (z : I→Banks (K:=K) (V:=V) b)
30
+ (U : ChronoDomains (K:=K) (V:=V)) (i : I) (c : Code (K:=K) (V:=V) b)
31
+ (hc : c∈book.allowed (z i).1 U.swap) : (i,c)∈book.publicAlphabet z U := by
32
+ exact mem_biUnion.mpr ⟨i,mem_univ _,mem_image.mpr ⟨c,hc,rfl⟩⟩
33
+
34
+ omit [Finite K] in
35
+ lemma Book.publicAlphabet_card (z : I→Banks (K:=K) (V:=V) b)
36
+ (U : ChronoDomains (K:=K) (V:=V)) :
37
+ (book.publicAlphabet z U).card≤∑ i,(book.allowed (z i).1 U.swap).card := by
38
+ apply (card_biUnion_le).trans
39
+ exact sum_le_sum (fun i _=>card_image_le)
40
+
41
+ variable (hb : 0≤b) (hH : 0≤H) (hP : 4≤P) (haP : b+log 1000000≤P)
42
+ include hb hH hP haP
43
+
44
+ lemma Book.publicAlphabet_log (z : I→Banks (K:=K) (V:=V) b)
45
+ (U : ChronoDomains (K:=K) (V:=V)) :
46
+ log ((book.publicAlphabet z U).card:ℝ)≤
47
+ log ((Fintype.card I:ℝ)+1)+headerCost (K:=K) (V:=V)+
48
+ (2*(H+22)*(Nat.card K:ℝ)*P)*(potential ((Nat.card K:ℝ)^(n+3)) U+P) := by
49
+ let L := headerCost (K:=K) (V:=V)+
50
+ (2*(H+22)*(Nat.card K:ℝ)*P)*(potential ((Nat.card K:ℝ)^(n+3)) U+P)
51
+ have hL : 0≤L := add_nonneg headerCost_nonneg
52
+ (mul_nonneg (by positivity) (add_nonneg (potential_nonneg _ _) (by linarith)))
53
+ have hs : potential ((Nat.card K:ℝ)^(n+3)) U.swap=potential ((Nat.card K:ℝ)^(n+3)) U := by
54
+ dsimp only [potential,Prod.swap]; rw [mul_comm]
55
+ have hc : ((book.publicAlphabet z U).card:ℝ)≤((Fintype.card I:ℝ)+1)*exp L := by
56
+ calc
57
+ _ ≤ ∑ i,((book.allowed (z i).1 U.swap).card:ℝ) := by exact_mod_cast book.publicAlphabet_card z U
58
+ _ ≤ ∑ _i : I,exp L := by
59
+ apply sum_le_sum
60
+ intro i _
61
+ simpa only [hs] using book.allowed_card_exp hb hH hP haP (z i).1 U.swap
62
+ _ = (Fintype.card I:ℝ)*exp L := by simp only [sum_const,card_univ,nsmul_eq_mul]
63
+ _ ≤ _ := mul_le_mul_of_nonneg_right (by linarith) (exp_pos L).le
64
+ by_cases hz : (book.publicAlphabet z U).card=0
65
+ · rw [hz,Nat.cast_zero,log_zero,add_assoc]
66
+ exact add_nonneg (log_nonneg (by have := Nat.cast_nonneg (α:=ℝ) (Fintype.card I); linarith)) hL
67
+ · apply (log_le_iff_le_exp (by exact_mod_cast Nat.pos_of_ne_zero hz)).mpr
68
+ rw [add_assoc,exp_add,exp_log (by positivity)]
69
+ exact hc
70
+
71
+ local instance publicCodeDecidableEq : DecidableEq (I×Code (K:=K) (V:=V) b) := Classical.decEq _
72
+
73
+ variable (hdim : Module.finrank K V=n+3) (hτ : 0≤τ) (hτsmall : τ≤1/40000)
74
+
75
+ theorem Book.actual_full_entropy (p : Selection.Law Ω)
76
+ (s : Ω→I→Original (K:=K) (V:=V) n b) (z : I→Banks (K:=K) (V:=V) b)
77
+ (t : Ω→BinaryTree I) (U : ChronoDomains (K:=K) (V:=V))
78
+ (N ht m : ℕ) (targets : Ω→I→List (Projectivization K (Module.Dual K V)×Projectivization K V))
79
+ (counts : Ω→I→ℕ) (hcounts : ∀ ω i,counts ω i ≤ m)
80
+ (hN : ∀ ω,(t ω).numNodes≤N) (hht : ∀ ω,(t ω).height≤ht) :
81
+ let rd := fixedRead (fun _i : I=>chronoRead (K:=K) (V:=V) b) z
82
+ let ch := fun ω=>fixedChoose (fun i=>book.chronoChoose hdim hτ hτsmall (s ω i)) z
83
+ let M := fun ω=>codeTree (countReader rd)
84
+ (countChoose (fun y x=>SharpLogRamsey.Incidence.Incident x y) rd (ch ω) (targets ω) (counts ω)) (t ω) U
85
+ let S := univ.image M
86
+ let msg : Ω→S := fun ω=>⟨M ω,mem_image.mpr ⟨ω,mem_univ _,rfl⟩⟩
87
+ Selection.entropy (p.map msg)≤((2*N+1:ℕ):ℝ)*log 2+
88
+ (N:ℝ)*(log ((Fintype.card I:ℝ)+1)+headerCost (K:=K) (V:=V)+log (m+1:ℕ))+
89
+ (2*(H+22)*(Nat.card K:ℝ)*P)*
90
+ ((ht:ℝ)*(potential ((Nat.card K:ℝ)^(n+3)) U+(N:ℝ)*(b+log 4+2*log 2000))+(N:ℝ)*P) := by
91
+ apply full_execution_entropy_overhead p ((Nat.card K:ℝ)^(n+3)) 2000 b
92
+ (2*(H+22)*(Nat.card K:ℝ)*P) P (log ((Fintype.card I:ℝ)+1)+headerCost (K:=K) (V:=V))
93
+ (by have : 0<Nat.card K:=Nat.zero_lt_one.trans (Finite.one_lt_card (α:=K)); positivity)
94
+ (by norm_num) hb (by positivity) (by linarith)
95
+ (add_nonneg (log_nonneg (by have := Nat.cast_nonneg (α:=ℝ) (Fintype.card I); linarith)) headerCost_nonneg)
96
+ N ht m _ (book.publicAlphabet z) _ _ t U targets counts hcounts hN hht
97
+ · intro ω i U c hc
98
+ obtain ⟨x,hx,rfl⟩:=Option.map_eq_some_iff.mp hc
99
+ apply book.mem_publicAlphabet
100
+ exact book.choose_allowed hdim hτ hτsmall (s ω i) (z i) U.swap x hx
101
+ · intro ω i U c hc
102
+ obtain ⟨x,hx,rfl⟩:=Option.map_eq_some_iff.mp hc
103
+ have hh:=book.choose_caps hdim hτ hτsmall (s ω i) U.swap (z i) x hx
104
+ refine ⟨(s ω i).B,(s ω i).A,(s ω i).nonemptyB,(s ω i).nonemptyA,hh.2.1,hh.1,?_,hh.2.2.2.2.2,hh.2.2.2.2.1⟩
105
+ simpa only [mul_comm] using (s ω i).product
106
+ · intro ω i U c hc
107
+ exact book.publicAlphabet_log hb hH hP haP z U
108
+
109
+ end
110
+ end SharpLogRamsey.ActualPivot
111
+
112
+ end
113
+
114
+ end OAI
lean/OAI/Combinatorics/SharpRamsey/Entropy/SelectedEntropy.lean ADDED
@@ -0,0 +1,67 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ import Mathlib
2
+ import OAI.Combinatorics.SharpRamsey.Marking.SelectionLogBound
3
+
4
+ namespace OAI
5
+
6
+ section
7
+ namespace SharpLogRamsey.Selection
8
+ open Real Finset
9
+ open scoped Classical
10
+ noncomputable section
11
+ variable {Ω α : Type} [Fintype Ω] [Fintype α] [Nonempty α]
12
+
13
+ theorem selected_map_entropy {N ℓ d : ℕ} (hd : 1 ≤ d) (hℓ : 0 < ℓ) (hN : ℓ ≤ N)
14
+ (p : Law Ω) (stream : Ω → Fin N → α) (F : Ω → Fin ℓ → α)
15
+ (reverse : (Fin ℓ → α) → (Fin ℓ → α))
16
+ {C q σ η c : ℝ} (hC : 0 < C) (hq : 0 < q) (hσ : 0 < σ) (hc : 0 < c)
17
+ (hdom : ∀ g, (p.map stream).mass g ≤ C/(Fintype.card α:ℝ)^N)
18
+ (hselect : ∀ x, p.mass x ≠ 0 → Occurs (F x) (stream x) ∨ Occurs (reverse (F x)) (stream x))
19
+ (hsize : (N:ℝ) ≤ q^d*σ) (hlength : c*q*σ^(1+η) ≤ (ℓ:ℝ))
20
+ (halphabet : q^(2*d-1) ≤ (Fintype.card α:ℝ)) :
21
+ (ℓ:ℝ)*((d:ℝ)*log q+η*log σ+log c-1)-log (2*C) ≤ entropy (p.map F) := by
22
+ let P := p.map (fun x => (stream x,F x))
23
+ have hfst : P.fst = p.map stream := by
24
+ rw [←Law.map_fst]
25
+ dsimp only [P]
26
+ rw [Law.map_map]
27
+ rfl
28
+ have hsnd : P.snd = p.map F := by
29
+ rw [←Law.map_snd]
30
+ dsimp only [P]
31
+ rw [Law.map_map]
32
+ rfl
33
+ have hh := selected_entropy_source_scales hd hℓ hN P reverse hC hq hσ hc
34
+ (by simpa only [hfst] using hdom) (by
35
+ intro g f hgf
36
+ obtain ⟨x,hx,he⟩ := p.map_support (fun x => (stream x,F x)) (g,f) hgf
37
+ have hh := hselect x hx
38
+ have he1 : stream x = g := congrArg Prod.fst he
39
+ have he2 : F x = f := congrArg Prod.snd he
40
+ simpa only [he1,he2] using hh) hsize hlength halphabet
41
+ rwa [hsnd] at hh
42
+
43
+ theorem selected_map_linear_deficit {N ℓ d : ℕ} (hd : 1 ≤ d) (hℓ : 0 < ℓ) (hN : ℓ ≤ N)
44
+ (p : Law Ω) (stream : Ω → Fin N → α) (F : Ω → Fin ℓ → α)
45
+ (reverse : (Fin ℓ → α) → (Fin ℓ → α))
46
+ {C q σ η c : ℝ} (hC : 0 < C) (hq : 0 < q) (hσ : 1 ≤ σ) (hη : 0 ≤ η) (hc : 0 < c)
47
+ (hdom : ∀ g, (p.map stream).mass g ≤ C/(Fintype.card α:ℝ)^N)
48
+ (hselect : ∀ x, p.mass x ≠ 0 → Occurs (F x) (stream x) ∨ Occurs (reverse (F x)) (stream x))
49
+ (hsize : (N:ℝ) ≤ q^d*σ) (hlength : c*q*σ^(1+η) ≤ (ℓ:ℝ))
50
+ (halphabet : q^(2*d-1) ≤ (Fintype.card α:ℝ)) :
51
+ (ℓ:ℝ)*((d:ℝ)*log q)-(1+|log c|+|log (2*C)|)*ℓ ≤ entropy (p.map F) := by
52
+ have hh := selected_map_entropy hd hℓ hN p stream F reverse hC hq (by linarith) hc
53
+ hdom hselect hsize hlength halphabet
54
+ have hpos : (1:ℝ) ≤ ℓ := by exact_mod_cast hℓ
55
+ have hl : 0 ≤ log σ := log_nonneg hσ
56
+ have hgain : 0 ≤ (ℓ:ℝ)*(η*log σ) := mul_nonneg (Nat.cast_nonneg _) (mul_nonneg hη hl)
57
+ have hc' : -|log c| ≤ log c := neg_abs_le _
58
+ have hm : log (2*C) ≤ |log (2*C)| := le_abs_self _
59
+ have hm' : |log (2*C)| ≤ (ℓ:ℝ)*|log (2*C)| := le_mul_of_one_le_left (abs_nonneg _) hpos
60
+ have hc'' := mul_le_mul_of_nonneg_left hc' (Nat.cast_nonneg ℓ)
61
+ nlinarith only [hh,hgain,hm,hm',hc'']
62
+ end
63
+ end SharpLogRamsey.Selection
64
+
65
+ end
66
+
67
+ end OAI