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import OAI.Combinatorics.CycleDecomposition.ScaleDecomposition
namespace OAI
universe cycleUniverse1 cycleUniverse2 cycleUniverse3 cycleUniverse4 cycleUniverse5 cycleUniverse6 cycleUniverse7 cycleUniverse8 cycleUniverse9 cycleUniverse10 cycleUniverse11 cycleUniverse12 cycleUniverse13 cycleUniverse14 cycleUniverse15 cycleUniverse16
section
open Filter Asymptotics Real
open scoped Topology
noncomputable section
open MeasureTheory ProbabilityTheory Finset
section
namespace ErdosGallai.Indexing
noncomputable section
open Finset
variable {I : Type cycleUniverse1} [DecidableEq I]
def batchWeight (w : I → ℕ) (b : Finset I) : ℝ := ∑ i ∈ b, (w i : ℝ)
lemma batchWeight_nonneg {I : Type cycleUniverse2} [_contextInstance1 : DecidableEq I] (w : I → ℕ) (b : Finset I) : 0 ≤ batchWeight w b := by
exact Finset.sum_nonneg (fun _ _ => Nat.cast_nonneg _)
lemma indexed_batch_construction (w : I → ℕ) (A : Finset I) (B : ℝ) (hB : 0 < B)
(hw : ∀ i ∈ A, (w i : ℝ) ≤ B/2) :
∃ P : List (Finset I),
P.Pairwise Disjoint ∧
(∀ i, i ∈ A ↔ ∃ b ∈ P, i ∈ b) ∧
(∀ b ∈ P, b.Nonempty ∧ batchWeight w b ≤ B) ∧
(∀ b ∈ P.tail, B/2 < batchWeight w b) ∧
(P.map (batchWeight w)).sum = batchWeight w A := by
induction A using Finset.induction_on with
| empty =>
refine ⟨[], by simp, ?_, by simp, by simp, ?_⟩
· simp
· simp [batchWeight]
| @insert a A ha ih =>
obtain ⟨P, hdisj, hcover, hbins, hheavy, hmass⟩ := ih (fun i hi => hw i (by simp [hi]))
have hwa := hw a (by simp)
have haP : ∀ b ∈ P, a ∉ b := by
intro b hb hab
exact ha ((hcover a).mpr ⟨b,hb,hab⟩)
cases P with
| nil =>
have hAz : A = ∅ := by
apply Finset.eq_empty_iff_forall_notMem.mpr
intro i hi
simpa using (hcover i).mp hi
subst A
refine ⟨[{a}], by simp, ?_, ?_, by simp, ?_⟩
· intro i; simp
· intro b hb
simp only [List.mem_singleton] at hb
subst b
exact ⟨by simp, by simp [batchWeight]; linarith⟩
· simp
| cons b bs =>
have hab : a ∉ b := haP b (by simp)
obtain ⟨hbne,hbB⟩ := hbins b (by simp)
by_cases hlight : batchWeight w b ≤ B/2
· refine ⟨insert a b :: bs, ?_, ?_, ?_, ?_, ?_⟩
· rw [List.pairwise_cons]
refine ⟨?_, (List.pairwise_cons.mp hdisj).2⟩
intro d hd
exact Finset.disjoint_insert_left.mpr ⟨haP d (by simp [hd]),
(List.pairwise_cons.mp hdisj).1 d hd⟩
· intro i
constructor
· intro hia
rcases Finset.mem_insert.mp hia with hia | hi
· exact ⟨insert a b, by simp, by simp [hia]⟩
· obtain ⟨d,hd,hid⟩ := (hcover i).mp hi
rcases List.mem_cons.mp hd with hd | hd
· subst d
exact ⟨insert a b, by simp, Finset.mem_insert_of_mem hid⟩
· exact ⟨d, by simp [hd], hid⟩
· rintro ⟨d,hd,hid⟩
rcases List.mem_cons.mp hd with rfl | hd
· rcases Finset.mem_insert.mp hid with rfl | hib
· simp
· exact Finset.mem_insert_of_mem ((hcover i).mpr ⟨b, by simp, hib⟩)
· exact Finset.mem_insert_of_mem ((hcover i).mpr ⟨d, by simp [hd], hid⟩)
· intro d hd
rcases List.mem_cons.mp hd with rfl | hd
· refine ⟨by simp, ?_⟩
simp only [batchWeight, Finset.sum_insert hab]
change (w a : ℝ) + batchWeight w b ≤ B
linarith
· exact hbins d (by simp [hd])
· simpa using hheavy
· simp only [List.map_cons, List.sum_cons] at hmass ⊢
rw [show batchWeight w (insert a b) = (w a:ℝ)+batchWeight w b by
simp [batchWeight, hab], show batchWeight w (insert a A) = (w a:ℝ)+batchWeight w A by
simp [batchWeight, ha]]
linarith
· refine ⟨{a} :: b :: bs, ?_, ?_, ?_, ?_, ?_⟩
· rw [List.pairwise_cons]
exact ⟨fun d hd => Finset.disjoint_singleton_left.mpr (haP d hd), hdisj⟩
· intro i
constructor
· intro hi
rcases Finset.mem_insert.mp hi with hia | hi
· exact ⟨{a}, by simp, by simp [hia]⟩
· obtain ⟨d,hd,hid⟩ := (hcover i).mp hi
exact ⟨d, List.mem_cons_of_mem _ hd, hid⟩
· rintro ⟨d,hd,hid⟩
rcases List.mem_cons.mp hd with rfl | hd
· exact Finset.mem_insert.mpr (Or.inl (Finset.mem_singleton.mp hid))
· exact Finset.mem_insert_of_mem ((hcover i).mpr ⟨d,hd,hid⟩)
· intro d hd
rcases List.mem_cons.mp hd with rfl | hd
· exact ⟨by simp, by simp [batchWeight]; linarith⟩
· exact hbins d hd
· intro d hd
rcases List.mem_cons.mp hd with rfl | hd
· exact lt_of_not_ge hlight
· exact hheavy d hd
· simp only [List.map_cons, List.sum_cons] at hmass ⊢
simp only [batchWeight, Finset.sum_singleton, Finset.sum_insert ha] at hmass ⊢
linarith
lemma batch_tail_mass {I : Type cycleUniverse3} [_contextInstance1 : DecidableEq I] (w : I → ℕ) (P : List (Finset I)) (t : ℝ)
(ht : ∀ b ∈ P, t ≤ batchWeight w b) :
(P.length : ℝ)*t ≤ (P.map (batchWeight w)).sum := by
induction P with
| nil => simp
| cons b bs ih =>
have hb := ht b (by simp)
have hbs := ih (fun d hd => ht d (by simp [hd]))
simp only [List.length_cons, Nat.cast_add, Nat.cast_one, List.map_cons, List.sum_cons]
nlinarith
theorem indexed_batch_partition (w : I → ℕ) (A : Finset I) (B : ℝ) (hB : 0 < B)
(hw : ∀ i ∈ A, (w i : ℝ) ≤ B/2) :
∃ P : List (Finset I),
P.Pairwise Disjoint ∧
(∀ i, i ∈ A ↔ ∃ b ∈ P, i ∈ b) ∧
(∀ b ∈ P, b.Nonempty ∧ batchWeight w b ≤ B) ∧
(P.map (batchWeight w)).sum = batchWeight w A ∧
(P.length : ℝ) ≤ 1 + 2*batchWeight w A/B := by
obtain ⟨P,hd,hc,hb,ht,hm⟩ := indexed_batch_construction w A B hB hw
refine ⟨P,hd,hc,hb,hm,?_⟩
have htail := batch_tail_mass w P.tail (B/2) (fun b hb => (ht b hb).le)
cases P with
| nil =>
simp only [List.length_nil, Nat.cast_zero]
have hh := div_nonneg (mul_nonneg (by norm_num : (0:ℝ) ≤ 2) (batchWeight_nonneg w A)) hB.le
linarith
| cons b bs =>
simp only [List.tail_cons, List.length_cons, Nat.cast_add, Nat.cast_one] at htail ⊢
simp only [List.map_cons, List.sum_cons] at hm
have hb0 := batchWeight_nonneg w b
have hdv : (bs.length : ℝ) ≤ 2*batchWeight w A/B := by
apply (le_div_iff₀ hB).mpr
linarith
linarith
end
end ErdosGallai.Indexing
namespace ErdosGallai.Indexing
noncomputable section
open scoped BigOperators
private theorem cover_card_le {V : Type cycleUniverse4} {I : Type cycleUniverse5} [DecidableEq V] [Fintype I]
(S : Finset V) (W : I → Finset V)
(h : S ⊆ Finset.univ.biUnion W) :
S.card ≤ ∑ i, (W i).card :=
(Finset.card_le_card h).trans Finset.card_biUnion_le
private theorem disjoint_piece_inter {V : Type cycleUniverse6} {J : Type cycleUniverse7} [DecidableEq V] [Fintype J]
(R : J → Finset V) (hR : Pairwise fun i j => Disjoint (R i) (R j))
(S : Finset V) :
(S ∩ Finset.univ.biUnion R).card = ∑ j, (S ∩ R j).card := by
rw [Finset.inter_biUnion]
apply Finset.card_biUnion
intro i _ j _ hij
exact (hR hij).mono Finset.inter_subset_right Finset.inter_subset_right
theorem active_occurrences {V : Type cycleUniverse8} {I : Type cycleUniverse9} {J : Type cycleUniverse10} [DecidableEq V]
[Fintype I] [Fintype J]
(Y good : Finset V) (W : I → Finset V) (R : J → Finset V)
(_hW : ∀ i, W i ⊆ Y) (hRsub : ∀ j, R j ⊆ Y)
(hcover : Y ⊆ Finset.univ.biUnion W)
(hR : Pairwise fun i j => Disjoint (R i) (R j))
(keep : I → J → Prop) [∀ i j, Decidable (keep i j)] :
let active := ∑ i, ∑ j, if keep i j then (W i ∩ R j ∩ good).card else 0
let skipped := ∑ i, ∑ j, if keep i j then 0 else (W i ∩ R j ∩ good).card
(∑ j, (R j).card) ≤ active + skipped + (Y \ good).card ∧
active + Y.card ≤ (∑ j, (R j).card) + ∑ i, (W i).card := by
classical
dsimp only
let U := Finset.univ.biUnion R
have hU : U ⊆ Y := by
intro v hv
obtain ⟨j, _, hj⟩ := Finset.mem_biUnion.mp hv
exact hRsub j hj
have hcard : U.card = ∑ j, (R j).card := by
apply Finset.card_biUnion
intro i _ j _ hij
exact hR hij
let mass := ∑ i, ∑ j, (W i ∩ R j ∩ good).card
let whole := ∑ i, (W i ∩ U).card
have hsplit :
(∑ i, ∑ j, if keep i j then (W i ∩ R j ∩ good).card else 0) +
(∑ i, ∑ j, if keep i j then 0 else (W i ∩ R j ∩ good).card) = mass := by
dsimp [mass]
rw [← Finset.sum_add_distrib]
apply Finset.sum_congr rfl
intro i _
rw [← Finset.sum_add_distrib]
apply Finset.sum_congr rfl
intro j _
split_ifs <;> omega
have hgood : (U ∩ good).card ≤ mass := by
have hc : U ∩ good ⊆ Finset.univ.biUnion (fun i => W i ∩ U ∩ good) := by
intro v hv
obtain ⟨i, hi, hvi⟩ := Finset.mem_biUnion.mp (hcover (hU (Finset.mem_inter.mp hv).1))
exact Finset.mem_biUnion.mpr ⟨i, hi, Finset.mem_inter.mpr
⟨Finset.mem_inter.mpr ⟨hvi, (Finset.mem_inter.mp hv).1⟩,
(Finset.mem_inter.mp hv).2⟩⟩
apply (cover_card_le (U ∩ good) _ hc).trans
apply le_of_eq
apply Finset.sum_congr rfl
intro i _
have heq : W i ∩ U ∩ good = (W i ∩ good) ∩ U := by ext v; simp only [Finset.mem_inter]; tauto
rw [heq, disjoint_piece_inter R hR]
apply Finset.sum_congr rfl
intro j _
congr 1
ext v
simp only [Finset.mem_inter]
tauto
have hbad : (U \ good).card ≤ (Y \ good).card := by
apply Finset.card_le_card
intro v hv
exact Finset.mem_sdiff.mpr ⟨hU (Finset.mem_sdiff.mp hv).1, (Finset.mem_sdiff.mp hv).2⟩
have hmass : mass ≤ whole := by
apply Finset.sum_le_sum
intro i _
rw [disjoint_piece_inter R hR]
exact Finset.sum_le_sum fun j _ => Finset.card_le_card Finset.inter_subset_left
have houtside : (Y \ U).card ≤ ∑ i, (W i \ U).card := by
apply cover_card_le
intro v hv
obtain ⟨i, hi, hvi⟩ := Finset.mem_biUnion.mp (hcover (Finset.mem_sdiff.mp hv).1)
exact Finset.mem_biUnion.mpr ⟨i, hi, Finset.mem_sdiff.mpr ⟨hvi, (Finset.mem_sdiff.mp hv).2⟩⟩
have hY : U.card + (Y \ U).card = Y.card := by
simpa only [Finset.inter_eq_right.mpr hU] using Finset.card_inter_add_card_sdiff Y U
have hWsum : whole + (∑ i, (W i \ U).card) = ∑ i, (W i).card := by
dsimp [whole]
rw [← Finset.sum_add_distrib]
exact Finset.sum_congr rfl fun i _ => Finset.card_inter_add_card_sdiff (W i) U
have hUgood := Finset.card_inter_add_card_sdiff U good
constructor <;> omega
theorem skipped_occurrences_bound {V : Type cycleUniverse11} {I : Type cycleUniverse12} {J : Type cycleUniverse13} [DecidableEq V]
[Fintype I] [Fintype J] (W : I → Finset V) (R : J → Finset V)
(good : Finset V) (L : ℕ) :
(∑ i, ∑ j, if L ≤ (W i ∩ R j ∩ good).card then 0
else (W i ∩ R j ∩ good).card) ≤ L * Fintype.card I * Fintype.card J := by
classical
calc
_ ≤ ∑ _i : I, ∑ _j : J, L := by
apply Finset.sum_le_sum
intro i _
apply Finset.sum_le_sum
intro j _
split_ifs <;> omega
_ = _ := by simp only [Finset.sum_const, Finset.card_univ, smul_eq_mul]; ring
end
end ErdosGallai.Indexing
namespace ErdosGallai.Indexing
noncomputable section
open Finset SimpleGraph
attribute [local instance] Classical.propDecidable
lemma list_pairwise_get {A : Type cycleUniverse14} {R : A → A → Prop} {L : List A}
(h : L.Pairwise R) (hs : (∀ ⦃left right⦄, R left right → R right left)) : Pairwise fun i j : Fin L.length => R (L.get i) (L.get j) := by
intro i j hij
rcases lt_or_gt_of_ne (show i.val ≠ j.val from fun he => hij (Fin.ext he)) with hlt | hgt
· exact List.pairwise_iff_getElem.mp h i.val j.val i.isLt j.isLt hlt
· exact hs (List.pairwise_iff_getElem.mp h j.val i.val j.isLt i.isLt hgt)
lemma list_sum_get {A : Type cycleUniverse15} {M : Type cycleUniverse16} [AddCommMonoid M] (L : List A) (f : A → M) :
(∑ i : Fin L.length, f (L.get i)) = (L.map f).sum := by
rw [← List.sum_ofFn]
calc
_ = (List.map f (List.ofFn L.get)).sum := by rw [List.map_ofFn]; rfl
_ = _ := by rw [List.ofFn_get]
structure GraphBatches {V : Type} (F : SimpleGraph V) (Y : Finset V) (B T : ℝ) where
Index : Type
finite : Fintype Index
graph : Index → SimpleGraph V
vertices : Index → Finset V
graph_le : ∀ i, graph i ≤ F
disjoint : Pairwise fun i j => Disjoint (graph i).edgeSet (graph j).edgeSet
edge_cover : (⋃ i, (graph i).edgeSet) = F.edgeSet
supported : ∀ i, ∀ ⦃x y⦄, (graph i).Adj x y → x ∈ vertices i ∧ y ∈ vertices i
subset : ∀ i, vertices i ⊆ Y
vertex_cover : Y ⊆ univ.biUnion vertices
order_le : ∀ i, ((vertices i).card:ℝ) ≤ B
mass_le : (∑ i, ((vertices i).card:ℝ)) ≤ T
count_le : (Fintype.card Index:ℝ) ≤ 1+2*T/B
attribute [instance] GraphBatches.finite
theorem materialize_batches {V I : Type} [Fintype I]
(F : SimpleGraph V) (Y : Finset V) (H : I → SimpleGraph V) (U : I → Finset V)
(hHH : Pairwise fun i j => Disjoint (H i).edgeSet (H j).edgeSet)
(hu : (⋃ i, (H i).edgeSet) = F.edgeSet)
(hU : ∀ i, ∀ ⦃x y⦄, (H i).Adj x y → x ∈ U i ∧ y ∈ U i)
(hUY : ∀ i, U i ⊆ Y) (hY : Y ⊆ univ.biUnion U)
(B : ℝ) (hB : 0 < B) (hsmall : ∀ i, ((U i).card:ℝ) ≤ B/2) :
Nonempty (GraphBatches F Y B (∑ i, ((U i).card:ℝ))) := by
classical
obtain ⟨L,hLd,hLc,hLn,hLm,hLnum⟩ := indexed_batch_partition (fun i => (U i).card) univ B hB (fun i _ => hsmall i)
let A := Fin L.length
let bag (a : A) : Finset I := L.get a
let W (a : A) := (bag a).biUnion U
let J (a : A) : SimpleGraph V := ⨆ i ∈ bag a, H i
have hbagd : Pairwise fun a b => Disjoint (bag a) (bag b) := list_pairwise_get hLd (fun _ _ h => h.symm)
have hbagcov (i : I) : ∃ a : A, i ∈ bag a := by
obtain ⟨b,hb,hi⟩ := (hLc i).mp (mem_univ _)
obtain ⟨k,hk⟩ := List.mem_iff_get.mp hb
exact ⟨k,by change i ∈ L.get k; rwa [hk]⟩
have hJedge (a : A) : (J a).edgeSet = ⋃ i ∈ bag a, (H i).edgeSet := by
ext e
induction e using Sym2.ind with
| _ x y => simp [J,SimpleGraph.mem_edgeSet,SimpleGraph.iSup_adj]
have hJsub (a : A) : (J a).edgeSet ⊆ F.edgeSet := by
rw [hJedge,← hu]
exact Set.iUnion₂_subset fun i _ => Set.subset_iUnion (fun j : I => (H j).edgeSet) i
have hWweight (a : A) : ((W a).card:ℝ) ≤ batchWeight (fun i => (U i).card) (bag a) := by
have hh := Finset.card_biUnion_le (s := bag a) (t := U)
dsimp only [W,batchWeight]
exact_mod_cast hh
have hJd : Pairwise fun a b => Disjoint (J a).edgeSet (J b).edgeSet := by
intro a b hab
rw [hJedge,hJedge]
apply Set.disjoint_left.mpr
rintro e he he'
obtain ⟨i,hi,he⟩ := Set.mem_iUnion₂.mp he
obtain ⟨j,hj,he'⟩ := Set.mem_iUnion₂.mp he'
have hij : i ≠ j := by rintro rfl; exact Finset.disjoint_left.mp (hbagd hab) hi hj
exact Set.disjoint_left.mp (hHH hij) he he'
refine ⟨{
Index := A
finite := inferInstance
graph := J
vertices := W
graph_le := fun a => SimpleGraph.edgeSet_subset_edgeSet.mp (hJsub a)
disjoint := hJd
edge_cover := ?_
supported := ?_
subset := ?_
vertex_cover := ?_
order_le := ?_
mass_le := ?_
count_le := ?_ }⟩
· apply Set.Subset.antisymm (Set.iUnion_subset hJsub)
intro e he
rw [← hu] at he
obtain ⟨i,hi⟩ := Set.mem_iUnion.mp he
obtain ⟨a,hia⟩ := hbagcov i
exact Set.mem_iUnion.mpr ⟨a,by rw [hJedge]; exact Set.mem_iUnion₂.mpr ⟨i,hia,hi⟩⟩
· intro a x y hxy
have he : s(x,y) ∈ (J a).edgeSet := hxy
rw [hJedge] at he
obtain ⟨i,hi,he⟩ := Set.mem_iUnion₂.mp he
exact ⟨Finset.mem_biUnion.mpr ⟨i,hi,(hU i he).1⟩,Finset.mem_biUnion.mpr ⟨i,hi,(hU i he).2⟩⟩
· intro a v hv
obtain ⟨i,_,hi⟩ := Finset.mem_biUnion.mp hv
exact hUY i hi
· intro v hv
obtain ⟨i,_,hi⟩ := Finset.mem_biUnion.mp (hY hv)
obtain ⟨a,ha⟩ := hbagcov i
exact Finset.mem_biUnion.mpr ⟨a,mem_univ _,Finset.mem_biUnion.mpr ⟨i,ha,hi⟩⟩
· intro a
exact (hWweight a).trans ((hLn (bag a) (L.get_mem a)).2)
· calc
_ ≤ ∑ a, batchWeight (fun i => (U i).card) (bag a) := Finset.sum_le_sum (fun a _ => hWweight a)
_ = _ := by rw [list_sum_get,hLm]; rfl
· simpa only [A,Fintype.card_fin,batchWeight] using hLnum
end
end ErdosGallai.Indexing
namespace ErdosGallai.Indexing
noncomputable section
open Finset SimpleGraph
attribute [local instance] Classical.propDecidable
def goodVertices {V : Type} [Fintype V] (F : SimpleGraph V) (Y : Finset V) (a : ℝ) : Finset V :=
Y.filter fun v => (F.degree v:ℝ) ≤ a
lemma bad_vertices_degree_bound {V : Type} [Fintype V] (F : SimpleGraph V) (Y : Finset V) (a : ℝ) :
a * ((Y \ goodVertices F Y a).card:ℝ) ≤ 2 * (F.edgeFinset.card:ℝ) := by
classical
let bad := Y \ goodVertices F Y a
have hbad (v) (hv : v ∈ bad) : a ≤ (F.degree v:ℝ) := by
have hn := (Finset.mem_sdiff.mp hv).2
exact le_of_lt (lt_of_not_ge (fun h => hn (Finset.mem_filter.mpr ⟨(Finset.mem_sdiff.mp hv).1,h⟩)))
calc
_ = ∑ v ∈ bad, a := by simp [bad,mul_comm]
_ ≤ ∑ v ∈ bad, (F.degree v:ℝ) := Finset.sum_le_sum hbad
_ ≤ ∑ v, (F.degree v:ℝ) := Finset.sum_le_sum_of_subset_of_nonneg (Finset.subset_univ _) (by intros; positivity)
_ = _ := by exact_mod_cast F.sum_degrees_eq_twice_card_edges
structure ActiveFamily {V R B : Type} [Fintype V] [Fintype R] [Fintype B]
(F : SimpleGraph V) (Y : Finset V) (W : B → Finset V) (U : R → Finset V) (a L : ℝ) where
Index : B → Type
finite : ∀ b, Fintype (Index b)
vertices : ∀ b, Index b → Finset V
router : ∀ b, Index b → R
subset_batch : ∀ b i, vertices b i ⊆ W b
subset_router : ∀ b i, vertices b i ⊆ U (router b i)
disjoint : ∀ b, Pairwise fun i j => Disjoint (vertices b i) (vertices b j)
degree_le : ∀ b i v, v ∈ vertices b i → (F.degree v:ℝ) ≤ a
large : ∀ b i, L ≤ ((vertices b i).card:ℝ)
lower : (∑ r, ((U r).card:ℝ)) - ((Y \ goodVertices F Y a).card:ℝ) -
L * Fintype.card B * Fintype.card R ≤ ∑ b, ∑ i, ((vertices b i).card:ℝ)
upper : (∑ b, ∑ i, ((vertices b i).card:ℝ)) + Y.card ≤
(∑ r, ((U r).card:ℝ)) + ∑ b, ((W b).card:ℝ)
attribute [instance] ActiveFamily.finite
theorem choose_active_family {V R B : Type} [Fintype V] [Fintype R] [Fintype B]
(F : SimpleGraph V) (Y : Finset V) (W : B → Finset V) (U : R → Finset V) (a L : ℝ)
(hL : 0 ≤ L) (hW : ∀ b, W b ⊆ Y) (hU : ∀ r, U r ⊆ Y)
(hcov : Y ⊆ univ.biUnion W) (hUd : Pairwise fun r s => Disjoint (U r) (U s)) :
Nonempty (ActiveFamily F Y W U a L) := by
classical
let good := goodVertices F Y a
let S (b : B) (r : R) := W b ∩ U r ∩ good
let keep (b : B) (r : R) := L ≤ ((S b r).card:ℝ)
let I (b : B) := {r : R // keep b r}
let X (b : B) (i : I b) := S b i.val
have hsum (b : B) : (∑ i : I b, ((X b i).card:ℝ)) =
∑ r, if keep b r then ((S b r).card:ℝ) else 0 := by
rw [← Finset.sum_filter]
simpa only [Finset.subtype_univ] using (Finset.sum_subtype_eq_sum_filter (s := univ) (p := keep b) (fun r => ((S b r).card:ℝ)))
have hadd := active_occurrences Y good W U hW hU hcov hUd keep
dsimp only at hadd
have hlow : (∑ r, ((U r).card:ℝ)) ≤
(∑ b, ∑ r, if keep b r then ((S b r).card:ℝ) else 0) +
(∑ b, ∑ r, if keep b r then 0 else ((S b r).card:ℝ)) + ((Y \ good).card:ℝ) := by
exact_mod_cast hadd.1
have hhigh : (∑ b, ∑ r, if keep b r then ((S b r).card:ℝ) else 0) + Y.card ≤
(∑ r, ((U r).card:ℝ)) + ∑ b, ((W b).card:ℝ) := by exact_mod_cast hadd.2
have hskip : (∑ b, ∑ r, if keep b r then 0 else ((S b r).card:ℝ)) ≤
L * Fintype.card B * Fintype.card R := by
calc
_ ≤ ∑ _b : B, ∑ _r : R, L := by
apply Finset.sum_le_sum; intro b _
apply Finset.sum_le_sum; intro r _
split_ifs with hk
· exact hL
· exact le_of_lt (lt_of_not_ge hk)
_ = _ := by simp; ring
refine ⟨{
Index := I
finite := fun _ => inferInstance
vertices := X
router := fun _ i => i.val
subset_batch := fun _ _ => Finset.inter_subset_left.trans Finset.inter_subset_left
subset_router := fun _ _ => Finset.inter_subset_left.trans Finset.inter_subset_right
disjoint := ?_
degree_le := ?_
large := fun _ i => i.property
lower := ?_
upper := ?_ }⟩
· intro b i j hij
exact (hUd (fun h => hij (Subtype.ext h))).mono
(Finset.inter_subset_left.trans Finset.inter_subset_right)
(Finset.inter_subset_left.trans Finset.inter_subset_right)
· intro b i v hv
exact (Finset.mem_filter.mp (Finset.mem_inter.mp hv).2).2
· simp_rw [hsum]
dsimp only [good] at hlow hskip
linarith
· simpa only [hsum] using hhigh
lemma thirds_le_halves {k : ℕ} (hk : 8 ≤ k) : (k:ℝ)/3 ≤ (k/2:ℕ) := by
have h : k ≤ 3*(k/2) := by omega
have h' : (k:ℝ) ≤ 3*(k/2:ℕ) := by exact_mod_cast h
linarith
end
end ErdosGallai.Indexing
end
end
end
end OAI