openAI-math-dataset / lean /OAI /Combinatorics /BalancedRyser /Selection /LineOccupancyConcentration.lean
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Add lean source and binary files (part 40)
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import OAI.Combinatorics.BalancedRyser.Probability.FiniteUniformConcentration
import OAI.Combinatorics.BalancedRyser.Probability.UniformRestriction
import OAI.Combinatorics.BalancedRyser.Selection.LineOccupancy
import OAI.Combinatorics.BalancedRyser.Selection.LineOccupancyAsymptotics
namespace OAI
noncomputable section
open MeasureTheory ProbabilityTheory Filter Topology
open scoped Classical
namespace Balanced.LineOccupancy
variable {F : Type*} [Field F] [Fintype F] [DecidableEq F]
theorem offsetLaw_map_transverse (l : Line F) :
(offsetLaw F).map (transverseOffsets l) =
PMF.uniformOfFintype (TransverseDirections l → F) := by
have ho : offsetLaw F = PMF.uniformOfFintype (MergedPairs F) := by
unfold offsetLaw
congr 1
exact Subsingleton.elim _ _
rw [ho]
let e : TransverseDirections l ↪ Direction F × Bool :=
⟨fun d => (d.val, true), fun a b h => Subtype.ext (congrArg Prod.fst h)⟩
let c : MergedPairs F ≃ (Direction F × Bool → F) := Equiv.curry _ _ _ |>.symm
have hc := TupleAlignment.uniform_map_equiv c
calc
_ = ((PMF.uniformOfFintype (MergedPairs F)).map c).map
(fun o i => o (e i)) := by
rw [PMF.map_comp]
rfl
_ = _ := by
rw [hc]
exact TupleAlignment.uniform_map_restrict e
theorem transverse_failure_le (l : Line F)
(hgap : (Fintype.card F : ℝ) / 20 ≤
(Fintype.card F : ℝ) * (1 - 1 / (Fintype.card F : ℝ)) ^ Fintype.card F -
(Fintype.card F : ℝ) / 5) :
((PMF.uniformOfFintype (TransverseDirections l → F)).toOuterMeasure
{a | (unhitCount l a : ℝ) < (Fintype.card F : ℝ) / 5}).toReal ≤
2 * Real.exp (-(Fintype.card F : ℝ) / 3200) := by
let : MeasurableSpace F := ⊤
let : MeasurableSingletonClass F := ⟨fun _ => trivial⟩
have hq : 0 < Fintype.card F := Fintype.card_pos
have hqR : (0 : ℝ) < Fintype.card F := Nat.cast_pos.mpr hq
have ht := FiniteUniform.bounded_differences
(fun a : TransverseDirections l → F => (unhitCount l a : ℝ)) (fun _ => 1)
(fun _ => by norm_num)
(fun i a b h => abs_unhitCount_sub_le_one l a b i h)
(L := 1) (u := (Fintype.card F : ℝ) / 20)
(by rw [card_transverseDirections]; exact Nat.succ_le_iff.mpr hq) (by norm_num) (fun _ => le_rfl) (by positivity)
rw [integral_unhitCount (F := F) l, card_transverseDirections, occupancy_exponent _ hq] at ht
have hsub : {a : TransverseDirections l → F |
(unhitCount l a : ℝ) < (Fintype.card F : ℝ) / 5} ⊆
{a | (Fintype.card F : ℝ) / 20 ≤
|(unhitCount l a : ℝ) -
(Fintype.card F : ℝ) * (1 - 1 / (Fintype.card F : ℝ)) ^ Fintype.card F|} := by
intro a ha
change (unhitCount l a : ℝ) < (Fintype.card F : ℝ) / 5 at ha
change (Fintype.card F : ℝ) / 20 ≤
|(unhitCount l a : ℝ) -
(Fintype.card F : ℝ) * (1 - 1 / (Fintype.card F : ℝ)) ^ Fintype.card F|
have habs := neg_le_abs ((unhitCount l a : ℝ) -
(Fintype.card F : ℝ) * (1 - 1 / (Fintype.card F : ℝ)) ^ Fintype.card F)
linarith
calc
_ = (PMF.uniformOfFintype (TransverseDirections l → F)).toMeasure.real
{a | (unhitCount l a : ℝ) < (Fintype.card F : ℝ) / 5} := by
rw [Measure.real, PMF.toMeasure_apply_eq_toOuterMeasure_apply]
exact (Set.toFinite _).measurableSet
_ ≤ _ := measureReal_mono hsub
_ ≤ _ := ht
theorem offset_failure_le (l : Line F)
(hgap : (Fintype.card F : ℝ) / 20 ≤
(Fintype.card F : ℝ) * (1 - 1 / (Fintype.card F : ℝ)) ^ Fintype.card F -
(Fintype.card F : ℝ) / 5) :
offsetEventProbability (F := F)
{M | (unhitCount l (transverseOffsets l M) : ℝ) < (Fintype.card F : ℝ) / 5} ≤
2 * Real.exp (-(Fintype.card F : ℝ) / 3200) := by
have h := transverse_failure_le l hgap
rw [← offsetLaw_map_transverse l, PMF.toOuterMeasure_map_apply] at h
exact h
omit [DecidableEq F] in
theorem offsetEventProbability_eq_real [MeasurableSpace (MergedPairs F)]
[MeasurableSingletonClass (MergedPairs F)] (s : Set (MergedPairs F)) :
offsetEventProbability s = (offsetLaw F).toMeasure.real s := by
rw [offsetEventProbability, Measure.real,
(offsetLaw F).toMeasure_apply_eq_toOuterMeasure_apply ((Set.toFinite s).measurableSet)]
theorem initial_failure_probability_le
(hgap : (Fintype.card F : ℝ) / 20 ≤
(Fintype.card F : ℝ) * (1 - 1 / (Fintype.card F : ℝ)) ^ Fintype.card F -
(Fintype.card F : ℝ) / 5) :
offsetEventProbability (F := F)
{M | ∃ l, l ∉ initialDeletedLines M ∧
((linePoints l ∩ initiallyRetained M).card : ℝ) < (Fintype.card F : ℝ) / 5} ≤
(Fintype.card F : ℝ) * ((Fintype.card F : ℝ) + 1) *
(2 * Real.exp (-(Fintype.card F : ℝ) / 3200)) := by
let : MeasurableSpace (MergedPairs F) := ⊤
let : MeasurableSingletonClass (MergedPairs F) := ⟨fun _ => trivial⟩
let B (l : Line F) : Set (MergedPairs F) :=
{M | (unhitCount l (transverseOffsets l M) : ℝ) < (Fintype.card F : ℝ) / 5}
have hsub : {M : MergedPairs F | ∃ l, l ∉ initialDeletedLines M ∧
((linePoints l ∩ initiallyRetained M).card : ℝ) < (Fintype.card F : ℝ) / 5} ⊆
⋃ l, B l := by
rintro M ⟨l, hl, hbad⟩
apply Set.mem_iUnion.mpr
refine ⟨l, ?_⟩
change (unhitCount l (transverseOffsets l M) : ℝ) < _
rw [unhitCount_eq_initiallyRetained l M hl]
exact hbad
rw [offsetEventProbability_eq_real]
calc
_ ≤ (offsetLaw F).toMeasure.real (⋃ l, B l) := measureReal_mono hsub
_ ≤ ∑ l, (offsetLaw F).toMeasure.real (B l) := measureReal_iUnion_fintype_le B
_ ≤ ∑ _l : Line F, (2 * Real.exp (-(Fintype.card F : ℝ) / 3200)) := by
apply Finset.sum_le_sum
intro l _
rw [← offsetEventProbability_eq_real]
exact offset_failure_le l hgap
_ = _ := by simp [Line, Direction, mul_comm]
theorem tendsto_initial_failure (F : ℕ → Type*)
[∀ n, Field (F n)] [∀ n, Fintype (F n)] [∀ n, DecidableEq (F n)]
(hq : Tendsto (fun n => Fintype.card (F n)) atTop atTop) :
Tendsto (fun n => offsetEventProbability (F := F n)
{M | ∃ l, l ∉ initialDeletedLines M ∧
((linePoints l ∩ initiallyRetained M).card : ℝ) < (Fintype.card (F n) : ℝ) / 5})
atTop (𝓝 0) := by
apply squeeze_zero' (Eventually.of_forall (fun _ => ENNReal.toReal_nonneg))
· filter_upwards [hq.eventually eventually_mean_gap] with n hn
exact initial_failure_probability_le hn
· exact tendsto_line_union_bound.comp hq
theorem initial_good_probability_eq_one_sub :
offsetEventProbability (F := F)
{M | ∀ l, l ∉ initialDeletedLines M →
(Fintype.card F : ℝ) / 5 ≤ ((linePoints l ∩ initiallyRetained M).card : ℝ)} =
1 - offsetEventProbability (F := F)
{M | ∃ l, l ∉ initialDeletedLines M ∧
((linePoints l ∩ initiallyRetained M).card : ℝ) < (Fintype.card F : ℝ) / 5} := by
let : MeasurableSpace (MergedPairs F) := ⊤
let : MeasurableSingletonClass (MergedPairs F) := ⟨fun _ => trivial⟩
have heq : {M : MergedPairs F | ∀ l, l ∉ initialDeletedLines M →
(Fintype.card F : ℝ) / 5 ≤ ((linePoints l ∩ initiallyRetained M).card : ℝ)} =
{M | ∃ l, l ∉ initialDeletedLines M ∧
((linePoints l ∩ initiallyRetained M).card : ℝ) < (Fintype.card F : ℝ) / 5}ᶜ := by
ext M
simp only [Set.mem_ofPred_eq, Set.mem_compl_iff, not_exists, not_and, not_lt]
rw [heq, offsetEventProbability_eq_real,
probReal_compl_eq_one_sub ((Set.toFinite _).measurableSet),
← offsetEventProbability_eq_real]
theorem tendsto_initial_occupancy (F : ℕ → Type*)
[∀ n, Field (F n)] [∀ n, Fintype (F n)] [∀ n, DecidableEq (F n)]
(hq : Tendsto (fun n => Fintype.card (F n)) atTop atTop) :
Tendsto (fun n => offsetEventProbability (F := F n)
{M | ∀ l, l ∉ initialDeletedLines M →
(1 / 5 : ℝ) * (Fintype.card (F n) : ℝ) ≤
((linePoints l ∩ initiallyRetained M).card : ℝ)}) atTop (𝓝 1) := by
have h := (tendsto_const_nhds (x := (1 : ℝ))).sub (tendsto_initial_failure F hq)
simpa only [one_div, mul_comm (5 : ℝ)⁻¹, ← div_eq_mul_inv,
initial_good_probability_eq_one_sub, sub_zero] using h
end Balanced.LineOccupancy
end
end OAI