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Add lean source and binary files (part 121)
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import OAI.Probability.DirectionalWalk.AxisBridges
namespace OAI
open MeasureTheory ProbabilityTheory Filter Preorder
open scoped ENNReal BigOperators Topology
namespace DirectionalZeroOne
open scoped Classical
def appendTapeList {α : Type*} (a b : TapeList α) : TapeList α :=
⟨a.1+b.1,Fin.append a.2 b.2⟩
lemma listHeight_append {α : Type*} (L : α → ℕ) (a b : TapeList α) :
listHeight L (appendTapeList a b) = listHeight L a + listHeight L b := by
change (∑ i : Fin (a.1+b.1), L (Fin.append a.2 b.2 i)) = _
rw [Fin.sum_univ_add]
simp only [Fin.append_left,Fin.append_right]
rfl
lemma listProduct_append {α M : Type*} [CommMonoid M] (f : α → M) (a b : TapeList α) :
(∏ i : Fin (appendTapeList a b).1, f ((appendTapeList a b).2 i)) =
(∏ i : Fin a.1, f (a.2 i)) * ∏ i : Fin b.1, f (b.2 i) := by
change (∏ i : Fin (a.1+b.1), f (Fin.append a.2 b.2 i)) = _
rw [Fin.prod_univ_add]
simp only [Fin.append_left,Fin.append_right]
lemma tapeCylinder_append {α : Type*} (a b : TapeList α) (Z : ℕ → α) :
Z ∈ tapeCylinder (appendTapeList a b) ↔
Z ∈ tapeCylinder a ∧ (fun j => Z (a.1+j)) ∈ tapeCylinder b := by
constructor
· intro h
refine ⟨fun i => ?_,fun i => ?_⟩
· simpa [appendTapeList] using h (i.castAdd b.1)
· simpa [appendTapeList] using h (i.natAdd a.1)
· rintro ⟨ha,hb⟩ i
refine Fin.addCases (fun j => ?_) (fun j => ?_) i
· simpa [appendTapeList] using ha j
· simpa [appendTapeList] using hb j
lemma appendTapeList_cut_recover {α : Type*} (L : α → ℕ) (H J : ℕ)
(Z : ℕ → α) (hZ : ∀ i, 0 < L (Z i)) (a b : TapeList α)
(ha : listHeight L a = H) (hb : listHeight L b = J)
(h : Z ∈ tapeCylinder (appendTapeList a b)) :
cutList L H Z = a ∧ cutList L J (fun j => Z (a.1+j)) = b := by
have hh := (tapeCylinder_append a b Z).mp h
exact ⟨((cutList_atom_iff L H Z hZ a).mpr ⟨ha,hh.1⟩).2,
((cutList_atom_iff L J _ (fun i => hZ _) b).mpr ⟨hb,hh.2⟩).2⟩
lemma bridgeList_pair_atom {α : Type*} [Countable α] [MeasurableSpace α]
[MeasurableSingletonClass α] (ν : Measure α) [IsProbabilityMeasure ν]
(L : α → ℕ) (hL : ∀ᵐ a ∂ν, 0 < L a) (H J : ℕ) (a b : TapeList α) :
((bridgeListMeasure ν L H).prod (bridgeListMeasure ν L J)) {(a,b)} =
if listHeight L a = H ∧ listHeight L b = J then
Measure.infinitePi (fun _ : ℕ => ν) (tapeCylinder (appendTapeList a b)) else 0 := by
classical
have ht : ({(a,b)} : Set (TapeList α × TapeList α)) = {a} ×ˢ {b} := by ext p; simp
rw [ht,Measure.prod_prod,bridgeListMeasure_atom ν L hL,bridgeListMeasure_atom ν L hL,
tapeCylinder_mass,listProduct_append (fun x => ν {x}) a b]
split_ifs <;> simp_all
lemma measure_le_of_singleton_le {α : Type*} [Countable α] [MeasurableSpace α]
[MeasurableSingletonClass α] (P Q : Measure α) (h : ∀ a, P {a} ≤ Q {a}) : P ≤ Q := by
classical
apply Measure.le_iff.mpr
intro s hs
rw [← Measure.tsum_indicator_apply_singleton P s hs,← Measure.tsum_indicator_apply_singleton Q s hs]
apply ENNReal.tsum_le_tsum
intro a
by_cases ha : a ∈ s <;> simp only [Set.indicator_apply,ha,ite_true,ite_false]
· exact h a
· exact le_rfl
lemma bridgeListMeasure_append_le {α : Type*} [Countable α] [MeasurableSpace α]
[MeasurableSingletonClass α] (ν : Measure α) [IsProbabilityMeasure ν]
(L : α → ℕ) (hL : ∀ᵐ a ∂ν, 0 < L a) (H J : ℕ) :
(((bridgeListMeasure ν L H).prod (bridgeListMeasure ν L J)).map
(fun p => appendTapeList p.1 p.2)) ≤ bridgeListMeasure ν L (H+J) := by
classical
apply measure_le_of_singleton_le
intro c
let P := (bridgeListMeasure ν L H).prod (bridgeListMeasure ν L J)
let f : TapeList α × TapeList α → ℝ≥0∞ := fun p =>
if appendTapeList p.1 p.2 = c then P {p} else 0
have he : (P.map (fun p => appendTapeList p.1 p.2)) {c} = ∑' p, f p := by
rw [Measure.map_apply (measurable_of_countable _) (measurableSet_singleton _),
← Measure.tsum_indicator_apply_singleton P _ ((measurable_of_countable _) (measurableSet_singleton _))]
apply tsum_congr
intro p
simp only [Set.indicator_apply,Set.mem_preimage,Set.mem_singleton_iff]
rfl
change (P.map (fun p => appendTapeList p.1 p.2)) {c} ≤ _
rw [he]
by_cases hf : ∃ p, f p ≠ 0
· obtain ⟨p,hp⟩ := hf
have hac : appendTapeList p.1 p.2 = c := by
by_contra h
exact hp (by simp [f,h])
have hab : listHeight L p.1 = H ∧ listHeight L p.2 = J := by
by_contra h
exact hp (by simp [f,hac,P,bridgeList_pair_atom ν L hL,h])
have hpc : P {p} = Measure.infinitePi (fun _ : ℕ => ν) (tapeCylinder c) := by
dsimp only [P]
rw [bridgeList_pair_atom ν L hL,ite_eq_left hab,hac]
have hpos : Measure.infinitePi (fun _ : ℕ => ν) (tapeCylinder c) ≠ 0 := by
simpa only [f,ite_eq_left hac,hpc] using hp
obtain ⟨Z,hZc,hZ⟩ := Measure.exists_mem_of_measure_ne_zero_of_ae hpos
(ae_restrict_of_ae (ae_tape_prop ν (fun a => 0 < L a)
(measurableSet_lt measurable_const (measurable_of_countable L)) hL))
have hpR := appendTapeList_cut_recover L H J Z hZ p.1 p.2 hab.1 hab.2 (hac.symm ▸ hZc)
have hzero : ∀ q ≠ p, f q = 0 := by
intro q hqp
by_contra hq
have hqc : appendTapeList q.1 q.2 = c := by
by_contra h
exact hq (by simp [f,h])
have hqH : listHeight L q.1 = H ∧ listHeight L q.2 = J := by
by_contra h
exact hq (by simp [f,hqc,P,bridgeList_pair_atom ν L hL,h])
have hqR := appendTapeList_cut_recover L H J Z hZ q.1 q.2 hqH.1 hqH.2 (hqc.symm ▸ hZc)
have h1 : q.1 = p.1 := hqR.1.symm.trans hpR.1
have h2 : q.2 = p.2 := by rw [h1] at hqR; exact hqR.2.symm.trans hpR.2
exact hqp (Prod.ext h1 h2)
rw [tsum_eq_single p hzero]
have hc : listHeight L c = H+J := by rw [← hac,listHeight_append,hab.1,hab.2]
rw [bridgeListMeasure_atom ν L hL,ite_eq_left hc]
rw [show f p = P {p} by simp [f,hac],hpc,tapeCylinder_mass]
· push Not at hf
simp only [hf,tsum_zero,zero_le]
lemma bridgeListLaw_append_le {α : Type*} [Countable α] [MeasurableSpace α]
[MeasurableSingletonClass α] (ν : Measure α) [IsProbabilityMeasure ν]
(L : α → ℕ) (hL : ∀ᵐ a ∂ν, 0 < L a) (H J : ℕ) :
(((bridgeListLaw ν L H).prod (bridgeListLaw ν L J)).map
(fun p => appendTapeList p.1 p.2)) ≤
((Measure.infinitePi (fun _ : ℕ => ν) (renewalCut L H))⁻¹ *
(Measure.infinitePi (fun _ : ℕ => ν) (renewalCut L J))⁻¹) •
bridgeListMeasure ν L (H+J) := by
let : IsFiniteMeasure (bridgeListMeasure ν L H) := by unfold bridgeListMeasure; infer_instance
let : IsFiniteMeasure (bridgeListMeasure ν L J) := by unfold bridgeListMeasure; infer_instance
rw [bridgeListLaw,bridgeListLaw,Measure.prod_smul_left,Measure.prod_smul_right,
smul_smul,Measure.map_smul _ (measurable_of_countable _).aemeasurable]
apply Measure.le_iff.mpr
intro s hs
simp only [Measure.smul_apply,smul_eq_mul]
simpa only [mul_comm] using
mul_le_mul_left ((Measure.le_iff.mp (bridgeListMeasure_append_le ν L hL H J)) s hs)
((Measure.infinitePi (fun _ : ℕ => ν) (renewalCut L H))⁻¹ *
(Measure.infinitePi (fun _ : ℕ => ν) (renewalCut L J))⁻¹)
lemma bridgeListLaw_join_raw_le {d : ℕ} (μ : Measure (Row d)) [IsProbabilityMeasure μ]
(hell : StrictEllipticity μ) (v : Fin d → ℝ) (hv : v ≠ 0)
(hp : 0 < annealed μ 0 (nonBacktracking v)) (H J : ℕ) :
letI := slabLaw_probability μ v hp
(((bridgeListLaw (slabLaw μ v) (slabRecords v) H).prod
(bridgeListLaw (slabLaw μ v) (slabRecords v) J)).map
(fun p => concatenateList (appendTapeList p.1 p.2))) ≤
((Measure.infinitePi (fun _ : ℕ => slabLaw μ v) (renewalCut (slabRecords v) H))⁻¹ *
(Measure.infinitePi (fun _ : ℕ => slabLaw μ v) (renewalCut (slabRecords v) J))⁻¹) •
rawBridgeMeasure μ v (H+J) := by
let := slabLaw_probability μ v hp
have hL : ∀ᵐ a ∂slabLaw μ v, 0 < slabRecords v a := by
filter_upwards [ae_slabLaw_regeneration μ hell v hv hp] with a ha
exact slabRecords_pos v a ha
have h := Measure.map_mono (bridgeListLaw_append_le (slabLaw μ v) (slabRecords v) hL H J)
(measurable_of_countable concatenateList)
rw [Measure.map_map (measurable_of_countable _) (measurable_of_countable _),
Measure.map_smul _ (measurable_of_countable _).aemeasurable,
bridgeListMeasure_concatenate μ hell v hv hp] at h
exact h
lemma product_contact_domination {d : ℕ} (μ : Measure (Row d)) [IsProbabilityMeasure μ]
(hell : StrictEllipticity μ) (e : Step d) (z : Site d) (n N H J : ℕ)
(hH : H ≤ N) (hJ : J ≤ N) (hn : n+J ≤ N) (hn' : n+H ≤ N)
(hz : axisHeight e z = (N : ℤ)-1)
(P Q : Measure (Word d)) (a b : ℝ≥0∞) (hb : b ≠ ∞)
(hP : P ≤ a • rawBridgeMeasure μ (axisDirection e) H)
(hQ : Q ≤ b • rawBridgeMeasure μ (axisDirection (oppositeStep e)) J) :
P.prod Q (bridgeWordContact z) ≤ a*b *
(2*((axisReachProb μ e n-axisReachProb μ e N) +
(axisReachProb μ (oppositeStep e) n-axisReachProb μ (oppositeStep e) N))) := by
let : IsFiniteMeasure (rawBridgeMeasure μ (axisDirection e) H) := by
unfold rawBridgeMeasure; infer_instance
let : IsFiniteMeasure (rawBridgeMeasure μ (axisDirection (oppositeStep e)) J) := by
unfold rawBridgeMeasure; infer_instance
have : Fact (b < ∞) := ⟨hb.lt_top⟩
have hh := Measure.le_iff.mp (Measure.prod_mono hP hQ) (bridgeWordContact z)
(Set.to_countable _).measurableSet
rw [Measure.prod_smul_left,Measure.prod_smul_right,smul_smul,Measure.smul_apply,smul_eq_mul] at hh
refine hh.trans ?_
simpa only [mul_comm] using mul_le_mul_left
(rawBridgeMeasure_contact_le μ hell e z n N H J hH hJ hn hn' hz) (a*b)
lemma bridgeListLaw_reverse_pair {α : Type*} [Countable α] [MeasurableSpace α]
[MeasurableSingletonClass α] (ν : Measure α) [IsProbabilityMeasure ν]
(L : α → ℕ) (hL : ∀ᵐ a ∂ν, 0 < L a) (H J : ℕ) :
((bridgeListLaw ν L H).prod (bridgeListLaw ν L J)).map
(Prod.map reverseTapeList reverseTapeList) =
(bridgeListLaw ν L H).prod (bridgeListLaw ν L J) := by
rw [← Measure.map_prod_map _ _ (measurable_of_countable _) (measurable_of_countable _),
bridgeListLaw_reverse ν L hL,bridgeListLaw_reverse ν L hL]
lemma bridgeListLaw_join_reversed_raw_le {d : ℕ} (μ : Measure (Row d)) [IsProbabilityMeasure μ]
(hell : StrictEllipticity μ) (v : Fin d → ℝ) (hv : v ≠ 0)
(hp : 0 < annealed μ 0 (nonBacktracking v)) (H J : ℕ) :
letI := slabLaw_probability μ v hp
(((bridgeListLaw (slabLaw μ v) (slabRecords v) H).prod
(bridgeListLaw (slabLaw μ v) (slabRecords v) J)).map
(fun p => concatenateList (appendTapeList (reverseTapeList p.1) (reverseTapeList p.2)))) ≤
((Measure.infinitePi (fun _ : ℕ => slabLaw μ v) (renewalCut (slabRecords v) H))⁻¹ *
(Measure.infinitePi (fun _ : ℕ => slabLaw μ v) (renewalCut (slabRecords v) J))⁻¹) •
rawBridgeMeasure μ v (H+J) := by
let := slabLaw_probability μ v hp
have hL : ∀ᵐ a ∂slabLaw μ v, 0 < slabRecords v a := by
filter_upwards [ae_slabLaw_regeneration μ hell v hv hp] with a ha
exact slabRecords_pos v a ha
have he := congrArg (fun M : Measure (TapeList (Word d) × TapeList (Word d)) =>
M.map (fun p => concatenateList (appendTapeList p.1 p.2)))
(bridgeListLaw_reverse_pair (slabLaw μ v) (slabRecords v) hL H J)
rw [Measure.map_map (measurable_of_countable _) (measurable_of_countable _)] at he
exact he.le.trans (bridgeListLaw_join_raw_le μ hell v hv hp H J)
lemma signedThreeKernel_proj12 {α : Type*} [Countable α] [MeasurableSpace α]
[MeasurableSingletonClass α] (ν : Measure α) [IsProbabilityMeasure ν]
(L : α → ℕ) (hu : ∀ H, Measure.infinitePi (fun _ : ℕ => ν) (renewalCut L H) ≠ 0)
(H : ℕ × (ℕ × ℕ)) :
(signedThreeKernel ν L H).map (fun a => (a.1,a.2.1)) =
(bridgeListLaw ν L H.1).prod (bridgeListLaw ν L H.2.1) := by
let : ∀ h, IsProbabilityMeasure (bridgeListLaw ν L h) := fun h => bridgeListLaw_probability ν L h (hu h)
let : IsMarkovKernel (oneBridgeKernel ν L) := ⟨fun h => bridgeListLaw_probability ν L h (hu h)⟩
simp only [signedThreeKernel,Kernel.parallelComp_apply]
change _ = (bridgeListLaw ν L H.1).prod (bridgeListLaw ν L H.2.1)
change ((bridgeListLaw ν L H.1).prod
((bridgeListLaw ν L H.2.1).prod (bridgeListLaw ν L H.2.2))).map (Prod.map id Prod.fst) = _
rw [← Measure.map_prod_map _ _ measurable_id measurable_fst,Measure.map_id,
Measure.map_fst_prod,measure_univ,one_smul]
lemma signedThreeKernel_proj32 {α : Type*} [Countable α] [MeasurableSpace α]
[MeasurableSingletonClass α] (ν : Measure α) [IsProbabilityMeasure ν]
(L : α → ℕ) (hu : ∀ H, Measure.infinitePi (fun _ : ℕ => ν) (renewalCut L H) ≠ 0)
(H : ℕ × (ℕ × ℕ)) :
(signedThreeKernel ν L H).map (fun a => (a.2.2,a.2.1)) =
(bridgeListLaw ν L H.2.2).prod (bridgeListLaw ν L H.2.1) := by
let : ∀ h, IsProbabilityMeasure (bridgeListLaw ν L h) := fun h => bridgeListLaw_probability ν L h (hu h)
let : IsMarkovKernel (oneBridgeKernel ν L) := ⟨fun h => bridgeListLaw_probability ν L h (hu h)⟩
simp only [signedThreeKernel,Kernel.parallelComp_apply]
change ((bridgeListLaw ν L H.1).prod
((bridgeListLaw ν L H.2.1).prod (bridgeListLaw ν L H.2.2))).map (Prod.swap ∘ Prod.snd) = _
rw [← Measure.map_map measurable_swap measurable_snd,Measure.map_snd_prod,
measure_univ,one_smul,Measure.prod_swap]
end DirectionalZeroOne
end OAI