openAI-math-dataset / lean /OAI /Analysis /CircleDomains /Selection /CodeDustMeetingBound.lean
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Add lean source and binary files (part 13)
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import OAI.Analysis.CircleDomains.Selection.PuncturedHitProduct
import OAI.Analysis.CircleDomains.Selection.CountableMeetingBound
namespace OAI
/-! The quantitative dust meeting estimate for the actual two code laws. -/
open Set Function MeasureTheory
open scoped ENNReal Classical
noncomputable section
namespace CircleDomainRigidity
variable {X Y : Type*} [MetricSpace X] [MetricSpace Y]
[MeasurableSpace X] [MeasurableSpace C(PathTime, X)] [BorelSpace C(PathTime, X)]
omit [BorelSpace C(PathTime, X)] in
theorem code_dust_meeting_bound
(d e : PathCodeData X Y) (P : ProbabilityMeasure (BasePathCode d))
(Q : ProbabilityMeasure (BasePathCode e)) (U D : Set X) (hD : D.Countable)
(hcontacts : ∀ᵐ z ∂((P : Measure (BasePathCode d)).prod (Q : Measure (BasePathCode e))),
range z.1.val.1 ∩ range z.2.val.1 ∩ d.dust ⊆ D)
(p q : X) (hp : p ∈ D ∩ (U ∩ d.dust)) (hq : q ∈ D ∩ (U ∩ d.dust)) (hpq : p ≠ q)
{δ : ℝ≥0∞}
(hatail : countingSquareNorm (fun x : ↥(D ∩ (U ∩ d.dust)) =>
if x.val ≠ p then codeHitProbability d P x.val else 0) ≤ δ)
(hbtail : countingSquareNorm (fun x : ↥(D ∩ (U ∩ d.dust)) =>
if x.val ≠ q then codeHitProbability e Q x.val else 0) ≤ δ) :
((P : Measure (BasePathCode d)).prod (Q : Measure (BasePathCode e)))
{z | (range z.1.val.1 ∩ range z.2.val.1 ∩ (U ∩ d.dust)).Nonempty} ≤
2 * δ + δ ^ 2 := by
have hcount : (D ∩ (U ∩ d.dust)).Countable := hD.mono inter_subset_left
let : Countable ↥(D ∩ (U ∩ d.dust)) := hcount.to_subtype
apply (code_pair_meeting_bound d e P Q (U ∩ d.dust) D hD ?_).trans
· let p' : ↥(D ∩ (U ∩ d.dust)) := ⟨p, hp⟩
let q' : ↥(D ∩ (U ∩ d.dust)) := ⟨q, hq⟩
have ha : codeHitProbability d P p ≤ 1 := prob_le_one
have hb : codeHitProbability e Q q ≤ 1 := prob_le_one
have hpa : countingSquareNorm (puncturedHit
(fun x : ↥(D ∩ (U ∩ d.dust)) => codeHitProbability d P x.val) univ p') ≤ δ := by
convert hatail using 1
congr 1
funext x
simp [puncturedHit, p', Subtype.ext_iff]
have hqb : countingSquareNorm (puncturedHit
(fun x : ↥(D ∩ (U ∩ d.dust)) => codeHitProbability e Q x.val) univ q') ≤ δ := by
convert hbtail using 1
congr 1
funext x
simp [puncturedHit, q', Subtype.ext_iff]
have h := punctured_hit_product_sum_le
(fun x : ↥(D ∩ (U ∩ d.dust)) => codeHitProbability d P x.val)
(fun x : ↥(D ∩ (U ∩ d.dust)) => codeHitProbability e Q x.val)
univ p' q' (mem_univ _) (mem_univ _)
(fun h => hpq (congrArg Subtype.val h)) ha hb
hpa hqb
simpa only [mem_univ, ite_true] using h
· filter_upwards [hcontacts] with z hz
rintro x ⟨hx, hxU, hxB⟩
exact hz ⟨hx, hxB⟩
end CircleDomainRigidity
end
end OAI