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Add lean source and binary files (part 118)
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import Mathlib
import OAI.Probability.Ballisticity.Estimates.GlobalProfile
import OAI.Probability.Ballisticity.Estimates.StoppedSplice
namespace OAI
section
open MeasureTheory ProbabilityTheory
open scoped ENNReal Classical
namespace DirectionalTransience
lemma stoppedRowsEvent_mono {d : ℕ} (S : ℕ → Set (Lattice d)) (hS : Monotone S)
(τ σ : Environment d → ℕ) (hτσ : ∀ ω, τ ω≤σ ω)
(hσ : ∀ n, MeasurableSet[rowSigma (S n)] {ω | σ ω=n})
(A : Set (Environment d)) (hA : StoppedRowsEvent S τ A) : StoppedRowsEvent S σ A := by
intro n
have he : A∩{ω | σ ω=n}=
(⋃ k : Fin (n+1), A∩{ω | τ ω=k.val})∩{ω | σ ω=n} := by
ext ω
constructor
· rintro ⟨ha,hs⟩
refine ⟨Set.mem_iUnion.mpr ⟨⟨τ ω,by have hh := hτσ ω; change σ ω = n at hs; omega⟩,ha,rfl⟩,hs⟩
· rintro ⟨hk,hs⟩
obtain ⟨k,ha,_⟩ := Set.mem_iUnion.mp hk
exact ⟨ha,hs⟩
rw [he]
have hAk (k : Fin (n+1)) : MeasurableSet[rowSigma (S n)] (A∩{ω | τ ω=k.val}) := by
have hk : k.val≤n := Nat.le_of_lt_succ k.isLt
exact (rowSigma_mono (hS hk)) _ (hA k.val)
exact (MeasurableSet.iUnion hAk).inter (hσ n)
lemma stoppedRowsEvent_measurable {d : ℕ} (S : ℕ → Set (Lattice d)) (τ : Environment d → ℕ)
(A : Set (Environment d)) (hA : StoppedRowsEvent S τ A) : MeasurableSet A := by
have he : A=⋃ n, A∩{ω | τ ω=n} := by ext ω; simp
rw [he]
exact MeasurableSet.iUnion fun n => (rowSigma_le _) _ (hA n)
theorem stopped_fresh_joint_map {d : ℕ} {D F : Type*} [MeasurableSpace D] [MeasurableSpace F]
(ν : Measure (Row d)) [IsProbabilityMeasure ν]
(S : ℕ → Set (Lattice d)) (τ : Environment d → ℕ)
(hτ : ∀ n, MeasurableSet[rowSigma (S n)] {ω | τ ω=n})
(U : Environment d → D) (hUm : Measurable U)
(hU : ∀ B, MeasurableSet B → StoppedRowsEvent S τ (U ⁻¹' B))
(V : ℕ → Environment d → F)
(hV : ∀ n, @Measurable _ _ (rowSigma (S n)ᶜ) _ (V n))
(R : Measure F) [IsProbabilityMeasure R]
(hR : ∀ n, (environmentLaw ν).map (V n)=R) :
(environmentLaw ν).map (fun ω => (U ω,V (τ ω) ω))=((environmentLaw ν).map U).prod R := by
have hVm (n : ℕ) : Measurable (V n) := (hV n).mono (rowSigma_le _) le_rfl
have hVm' : Measurable (fun p : Environment d×ℕ => V p.2 p.1) :=
measurable_from_prod_countable_left hVm
have hmap : Measurable (fun ω => (U ω,V (τ ω) ω)) :=
hUm.prodMk (hVm'.comp (measurable_id.prodMk (measurable_of_stop_events S τ hτ)))
apply Measure.ext_prod
intro A B hA hB
rw [Measure.map_apply hmap (hA.prod hB),Measure.prod_prod,Measure.map_apply hUm hA]
let E (n : ℕ) := (U ⁻¹' A)∩{ω | τ ω=n}
let K (n : ℕ) := E n∩(V n ⁻¹' B)
have hE (n : ℕ) : MeasurableSet[rowSigma (S n)] (E n) := hU A hA n
have hEm (n : ℕ) : MeasurableSet (E n) := (rowSigma_le _) _ (hE n)
have hK (n : ℕ) : MeasurableSet (K n) := (hEm n).inter (hB.preimage (hVm n))
have hEd : Pairwise (Function.onFun Disjoint E) := by
intro n m hnm
exact Set.disjoint_left.mpr fun ω hn hm => hnm (hn.2.symm.trans hm.2)
have hKd : Pairwise (Function.onFun Disjoint K) := by
intro n m hnm
exact (hEd hnm).mono Set.inter_subset_left Set.inter_subset_left
have he : (fun ω => (U ω,V (τ ω) ω)) ⁻¹' (A ×ˢ B)=⋃ n, K n := by
ext ω
constructor
· rintro ⟨ha,hb⟩
exact Set.mem_iUnion.mpr ⟨τ ω,⟨ha,rfl⟩,hb⟩
· intro h
obtain ⟨n,⟨ha,hn⟩,hb⟩ := Set.mem_iUnion.mp h
refine ⟨ha,?_⟩
change τ ω=n at hn
change V n ω∈B at hb
simpa only [hn] using hb
rw [he,measure_iUnion hKd hK]
have hfactor (n : ℕ) : environmentLaw ν (K n)=environmentLaw ν (E n)*R B := by
have hind := (Indep_iff _ _ _).mp (environment_indep_rows ν (S:=S n)
(T:=(S n)ᶜ) disjoint_compl_right) (E n) (V n ⁻¹' B) (hE n) ((hV n) hB)
rw [←Measure.map_apply (hVm n) hB,hR n] at hind
exact hind
simp_rw [hfactor]
rw [ENNReal.tsum_mul_right,←measure_iUnion hEd hEm]
have he' : (⋃ n, E n)=U ⁻¹' A := by ext ω; simp [E]
rw [he']
noncomputable def upperField {d : ℕ} (e : Direction d) (n : ℕ) (ω : Environment d) :
(ℕ×HorizontalSpace e) → Row d := fun p => ω (horizontalLift e (n+p.1) p.2)
lemma upperField_index_injective {d : ℕ} (e : Direction d) (n : ℕ) :
Function.Injective (fun p : ℕ×HorizontalSpace e => horizontalLift e (n+p.1) p.2) := by
intro p q h
have hh := congrArg (signedHeight e) h
have hz := congrArg (horizontalProjection e) h
rw [signedHeight_horizontalLift,signedHeight_horizontalLift] at hh
rw [horizontalProjection_lift,horizontalProjection_lift] at hz
exact Prod.ext (by exact_mod_cast (add_left_cancel hh)) hz
lemma upperField_measurable_rows {d : ℕ} (e : Direction d) (n : ℕ) :
@Measurable _ _ (rowSigma (BelowHeight (realPosition (step e)) n)ᶜ) _ (upperField e n) := by
apply @Measurable.of_eval (Environment d) (ℕ×HorizontalSpace e) (fun _ => Row d)
(rowSigma (BelowHeight (realPosition (step e)) n)ᶜ) (fun _ => inferInstance)
intro p
apply measurable_row_on
change ¬ dot (realPosition (horizontalLift e (n+p.1) p.2)) (realPosition (step e))<n
rw [signedHeight_projection,signedHeight_horizontalLift]
push_cast
linarith [Nat.cast_nonneg (α:=ℝ) p.1]
lemma upperField_map {d : ℕ} (e : Direction d) (ν : Measure (Row d)) [IsProbabilityMeasure ν]
(n : ℕ) : (environmentLaw ν).map (upperField e n)=
Measure.infinitePi (fun _ : ℕ×HorizontalSpace e => ν) :=
Measure.map_infinitePi_infinitePi_of_inj (upperField_index_injective e n)
end DirectionalTransience
end
end OAI