openAI-math-dataset / lean /OAI /Probability /Ballisticity /Walk /FixedQuenchedKernel.lean
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import Mathlib
import OAI.Probability.Ballisticity.Geometry.WordCoordinate
namespace OAI
section
section
open MeasureTheory ProbabilityTheory Filter
open scoped ENNReal NNReal BigOperators Topology
namespace DirectionalTransience
lemma conditioned_word_spatial_strong_laws {d : ℕ} (ν : Measure (Row d)) [IsProbabilityMeasure ν]
(hue : UniformElliptic ν) (ℓ : Vector d) (hℓ : dot ℓ ℓ = 1)
(htrans : DirectionallyTransient ν ℓ) (e : Direction d) :
∀ᵐ X ∂conditionedLaw ν ℓ,
Tendsto (fun n : ℕ => (∑ i ∈ Finset.range n, wordCoordinate e (regenerationWords ℓ X i))/n)
atTop (𝓝 (∫ Y, wordCoordinate e (firstWord ℓ Y) ∂conditionedLaw ν ℓ)) ∧
Tendsto (fun n : ℕ => wordRadius (regenerationWords ℓ X n)/n) atTop (𝓝 0) := by
have hi := regenerationWords_independent ν ℓ htrans
have hd := regenerationWords_identDistrib ν ℓ htrans
have hmc : Measurable (wordCoordinate e) := measurable_of_countable _
have hc := strong_law_ae_real (fun n X => wordCoordinate e (regenerationWords ℓ X n))
(conditioned_wordCoordinate_integrable ν hue ℓ hℓ htrans e)
(fun i j hij => (hi.indepFun hij).comp hmc hmc) (fun i => (hd i).comp hmc)
have hr := strong_law_ae_real (fun n X => wordRadius (regenerationWords ℓ X n))
(conditioned_wordRadius_integrable ν hue ℓ hℓ htrans)
(fun i j hij => (hi.indepFun hij).comp measurable_wordRadius measurable_wordRadius)
(fun i => (hd i).comp measurable_wordRadius)
filter_upwards [hc,hr] with X hX hR
exact ⟨hX, increment_sublinear_of_average _ _ hR⟩
lemma increasing_cuts_index_tendsto (T K : ℕ → ℕ) (hT : StrictMono T)
(hK : ∀ n, T (K n) ≤ n ∧ n < T (K n+1)) : Tendsto K atTop atTop := by
apply tendsto_atTop.mpr
intro M
filter_upwards [eventually_ge_atTop (T M)] with n hn
by_contra hm
have hh := hT.monotone (show K n+1 ≤ M by omega)
exact (not_lt_of_ge (hh.trans hn)) (hK n).2
lemma scalar_cut_interpolation (T : ℕ → ℕ) (hT : StrictMono T) (hT0 : T 0 = 0)
(Y f R : ℕ → ℝ) (m : ℝ) (hm : 0 < m)
(hY : ∀ n, Y (T n) = ∑ i ∈ Finset.range n, f i)
(herr : ∀ k n, T k ≤ n → n < T (k+1) → |Y n-Y (T k)| ≤ R k)
(hf : Tendsto (fun n : ℕ => (∑ i ∈ Finset.range n, f i)/n) atTop (𝓝 m))
(hR : Tendsto (fun n : ℕ => R n/n) atTop (𝓝 0)) : Tendsto Y atTop atTop := by
choose K hK using increasing_cuts_cover T hT hT0
have hKt := increasing_cuts_index_tendsto T K hT hK
have hh := (hf.sub hR).comp hKt
simp only [sub_zero] at hh
have hmul := hh.pos_mul_atTop hm (tendsto_natCast_atTop_atTop.comp hKt)
apply tendsto_atTop_mono' _ _ hmul
filter_upwards [hKt.eventually (eventually_gt_atTop (0 : ℕ))] with n hn
have hk : (K n : ℝ) ≠ 0 := Nat.cast_ne_zero.mpr (ne_of_gt hn)
have he := neg_le_of_abs_le (herr (K n) n (hK n).1 (hK n).2)
simp only [Function.comp_apply, sub_mul, div_mul_cancel₀ _ hk]
rw [← hY]
linarith only [he]
lemma regeneration_coordinate_sum {d : ℕ} (ℓ : Vector d) (e : Direction d)
(X : Path d) (hX : X ∈ RegenerationSupport ℓ) (n : ℕ) :
signedCoordinate e (X (regenerationTimes ℓ X n)) =
∑ i ∈ Finset.range n, wordCoordinate e (regenerationWords ℓ X i) := by
induction n with
| zero => simp [hX.1, signedCoordinate]
| succ n ih =>
rw [regenerationTimes_succ, regeneration_span ℓ X hX.1 hX.2 n _ (by rfl),
signedCoordinate_add, ih, Finset.sum_range_succ, wordCoordinate]
lemma conditioned_coordinate_transience {d : ℕ} (ν : Measure (Row d)) [IsProbabilityMeasure ν]
(hue : UniformElliptic ν) (ℓ : Vector d) (hℓ : dot ℓ ℓ = 1)
(htrans : DirectionallyTransient ν ℓ) (e : Direction d)
(he : 0 < ∫ X, wordCoordinate e (firstWord ℓ X) ∂conditionedLaw ν ℓ) :
∀ᵐ X ∂conditionedLaw ν ℓ, Tendsto (fun n => signedCoordinate e (X n)) atTop atTop := by
filter_upwards [conditioned_regenerationSupport ν ℓ htrans,
conditioned_word_spatial_strong_laws ν hue ℓ hℓ htrans e] with X hX hlim
apply scalar_cut_interpolation (regenerationTimes ℓ X)
(regenerationTimes_strictMono ℓ X hX.2) (regenerationTimes_zero ℓ X)
(fun n => signedCoordinate e (X n)) (fun n => wordCoordinate e (regenerationWords ℓ X n))
(fun n => wordRadius (regenerationWords ℓ X n)) _ he
(regeneration_coordinate_sum ℓ e X hX) _ hlim.1 hlim.2
intro k n hlo hhi
have hnk : n = regenerationTimes ℓ X k+(n-regenerationTimes ℓ X k) := by omega
have hlen : n-regenerationTimes ℓ X k ≤ (regenerationWords ℓ X k).length := by
rw [regenerationTimes_succ] at hhi
omega
have hh := regeneration_span ℓ X hX.1 hX.2 k _ hlen
rw [← hnk] at hh
rw [hh, signedCoordinate_add, add_sub_cancel_left]
exact (signedCoordinate_abs_le_norm _ _).trans (wordRadius_bound _ hlen)
lemma conditioned_to_annealed_transience {d : ℕ} (ν : Measure (Row d)) [IsProbabilityMeasure ν]
(ℓ u : Vector d) (htrans : DirectionallyTransient ν ℓ)
(hu : ∀ᵐ X ∂conditionedLaw ν ℓ, X ∈ TransientPaths u) : DirectionallyTransient ν u := by
let B := NoDrop ℓ 0 ∩ (TransientPaths u)ᶜ
have hB : MeasurableSet B := (measurableSet_noDrop ℓ 0).inter (measurableSet_transientPaths u).compl
have hBD : B ⊆ NoDrop ℓ 0 := Set.inter_subset_left
have hcB : conditionedLaw ν ℓ B = 0 :=
measure_mono_null Set.inter_subset_right (ae_iff.mp hu)
have haB : annealedLaw ν B = 0 := by
rw [conditionedLaw_apply_of_subset ν ℓ B hB hBD] at hcB
exact (mul_eq_zero.mp hcB).resolve_left (ENNReal.inv_ne_zero.mpr (measure_ne_top _ _))
have hwords : ∀ᵐ X ∂annealedLaw ν, ∀ w : List (Direction d),
(∀ y ∈ wordDepartures 0 w, dot (realPosition y) ℓ <
dot (realPosition (wordPath 0 w w.length)) ℓ) →
X ∈ wordCylinder 0 w →
(fun j => X (w.length+j)-wordPath 0 w w.length) ∉ B := by
apply ae_all_iff.mpr
intro w
by_cases hw : ∀ y ∈ wordDepartures 0 w, dot (realPosition y) ℓ <
dot (realPosition (wordPath 0 w w.length)) ℓ
· have hz := annealed_record_suffix ν ℓ w hw B hB hBD
rw [haB, mul_zero] at hz
filter_upwards [measure_eq_zero_iff_ae_notMem.mp hz] with X hX _ hcy
exact fun hh => hX ⟨hh,hcy⟩
· exact Filter.Eventually.of_forall fun _ h _ => (hw h).elim
filter_upwards [annealed_initial ν, annealed_nearest_neighbor ν,
annealed_trueRecords_unbounded ν ℓ htrans, hwords] with X h0 hnn hrec hwords
obtain ⟨n,_,hn⟩ := hrec 0
obtain ⟨w,hw,hcy⟩ := exists_word_prefix X hnn n
rw [h0] at hcy
have hwend : wordPath 0 w w.length = X n := by rw [← hw]; exact (hcy _ le_rfl).symm
have hwrec : ∀ y ∈ wordDepartures 0 w, dot (realPosition y) ℓ <
dot (realPosition (wordPath 0 w w.length)) ℓ := by
intro y hy
obtain ⟨j,hj,rfl⟩ := (wordDepartures_mem_iff 0 y w).mp hy
rw [← hcy j hj.le, hwend]
exact hn.1 j (by omega)
have hnot := hwords w hwrec hcy
have hD : (fun j => X (w.length+j)-wordPath 0 w w.length) ∈ NoDrop ℓ 0 := by
intro j
rw [hwend, hw, dot_realPosition_sub]
have hh := hn.2 j
simpa only [dot, realPosition, Pi.zero_apply, Int.cast_zero, zero_mul, Finset.sum_const_zero,
sub_nonneg] using hh
have ht : (fun j => X (n+j)-X n) ∈ TransientPaths u := by
by_contra hh
apply hnot
refine ⟨hD, ?_⟩
change (fun j => X (w.length+j)-wordPath 0 w w.length) ∉ TransientPaths u
rw [hwend, hw]
exact hh
have hraw : (fun j => X (n+j)) ∈ TransientPaths u := by
change (fun j => X (n+j)) ∈ (fun Z : Path d => fun j => Z j-X n) ⁻¹' TransientPaths u at ht
rwa [transientPaths_translation] at ht
change Tendsto (fun j => dot (realPosition (X j)) u) atTop atTop
change Tendsto (fun j => dot (realPosition (X (n+j))) u) atTop atTop at hraw
exact (tendsto_add_atTop_iff_nat n).mp (by simpa only [Nat.add_comm] using hraw)
lemma dot_comm {d : ℕ} (v w : Vector d) : dot v w = dot w v := by
simp only [dot, mul_comm]
lemma dot_signed_direction {d : ℕ} (e : Direction d) (x : Lattice d) :
dot (realPosition x) (realPosition (step e)) = signedCoordinate e x := by
rw [dot_comm, dot_step]
rfl
lemma signed_direction_unit {d : ℕ} (e : Direction d) :
dot (realPosition (step e)) (realPosition (step e)) = 1 := by
rw [dot_step]
simp only [realPosition,step,ite_true,Int.cast_ite,Int.cast_one,Int.cast_neg]
cases e.2 <;> norm_num
lemma exists_transient_signed_coordinate {d : ℕ} (ν : Measure (Row d)) [IsProbabilityMeasure ν]
(hue : UniformElliptic ν) (ℓ : Vector d) (hℓ : dot ℓ ℓ = 1)
(htrans : DirectionallyTransient ν ℓ) : ∃ e : Direction d,
DirectionallyTransient ν (realPosition (step e)) := by
obtain ⟨e,he⟩ := conditioned_coordinate_positive_mean ν hue ℓ hℓ htrans
refine ⟨e, conditioned_to_annealed_transience ν ℓ (realPosition (step e)) htrans ?_⟩
have hh := conditioned_coordinate_transience ν hue ℓ hℓ htrans e he
simpa only [TransientPaths, Set.mem_ofPred_eq, dot_signed_direction] using hh
noncomputable def fixedQuenchedKernel {d : ℕ} (x : Lattice d) :
Kernel (Environment d) (Path d) :=
quenchedKernel.comap (fun ω => (ω,x)) (measurable_id.prodMk measurable_const)
instance fixedQuenchedKernel_markov {d : ℕ} (x : Lattice d) :
IsMarkovKernel (fixedQuenchedKernel x) := by unfold fixedQuenchedKernel; infer_instance
noncomputable def sharedPairKernel {d : ℕ} (x y : Lattice d) :
Kernel (Environment d) (Path d × Path d) :=
(fixedQuenchedKernel x).prod (fixedQuenchedKernel y)
instance sharedPairKernel_markov {d : ℕ} (x y : Lattice d) :
IsMarkovKernel (sharedPairKernel x y) := by unfold sharedPairKernel; infer_instance
noncomputable def sharedPairLaw {d : ℕ} (ν : Measure (Row d)) (x y : Lattice d) :
Measure (Path d × Path d) := sharedPairKernel x y ∘ₘ environmentLaw ν
instance sharedPairLaw_probability {d : ℕ} (ν : Measure (Row d)) [IsProbabilityMeasure ν]
(x y : Lattice d) : IsProbabilityMeasure (sharedPairLaw ν x y) := by
unfold sharedPairLaw
infer_instance
noncomputable def sharedNoDropMass {d : ℕ} (ν : Measure (Row d)) (ℓ : Vector d)
(x y : Lattice d) : ℝ≥0∞ :=
∫⁻ ω, noDropQuenched ℓ x ω * noDropQuenched ℓ y ω ∂environmentLaw ν
lemma sharedPairLaw_rectangle {d : ℕ} (ν : Measure (Row d)) (x y : Lattice d)
(A B : Set (Path d)) (hA : MeasurableSet A) (hB : MeasurableSet B) :
sharedPairLaw ν x y (A ×ˢ B) =
∫⁻ ω, quenchedKernel (ω,x) A * quenchedKernel (ω,y) B ∂environmentLaw ν := by
rw [sharedPairLaw, Measure.bind_apply (hA.prod hB) (Kernel.aemeasurable _)]
apply lintegral_congr
intro ω
rw [sharedPairKernel, Kernel.prod_apply, Measure.prod_prod]
rfl
lemma sharedNoDropMass_eq {d : ℕ} (ν : Measure (Row d)) (ℓ : Vector d) (x y : Lattice d) :
sharedNoDropMass ν ℓ x y = sharedPairLaw ν x y (NoDrop ℓ x ×ˢ NoDrop ℓ y) :=
(sharedPairLaw_rectangle ν x y _ _ (measurableSet_noDrop ℓ x) (measurableSet_noDrop ℓ y)).symm
lemma sharedNoDropMass_le_one {d : ℕ} (ν : Measure (Row d)) [IsProbabilityMeasure ν]
(ℓ : Vector d) (x y : Lattice d) : sharedNoDropMass ν ℓ x y ≤ 1 := by
rw [sharedNoDropMass_eq]
exact prob_le_one
lemma sharedNoDropMass_uniform_positive {d : ℕ} (ν : Measure (Row d)) [IsProbabilityMeasure ν]
(hue : UniformElliptic ν) (ℓ : Vector d) (hℓ : dot ℓ ℓ = 1)
(htrans : DirectionallyTransient ν ℓ) :
∃ c : ℝ≥0∞, 0 < c ∧ ∀ x y : Lattice d, c ≤ sharedNoDropMass ν ℓ x y := by
obtain ⟨s,hs,_,hsmall⟩ := positive_random_small_set (environmentLaw ν) (noDropQuenched ℓ 0)
(measurable_noDropQuenched ℓ 0)
((quenched_noDrop_positive_of_directionallyTransient ν hue ℓ hℓ htrans).mono fun _ h => h 0)
refine ⟨(s : ℝ≥0∞)^2 / 2, ENNReal.div_pos (pow_ne_zero _ (by exact_mod_cast hs.ne')) (by norm_num), ?_⟩
intro x y
let μ := environmentLaw ν
let A := {ω | noDropQuenched ℓ x ω ≤ 2*(s : ℝ≥0∞)}
let B := {ω | noDropQuenched ℓ y ω ≤ 2*(s : ℝ≥0∞)}
have hA : MeasurableSet A := measurableSet_le (measurable_noDropQuenched ℓ x) measurable_const
have hB : MeasurableSet B := measurableSet_le (measurable_noDropQuenched ℓ y) measurable_const
have hsa : μ A < 1/4 := by
rw [show μ A = environmentLaw ν {ω | noDropQuenched ℓ 0 ω ≤ 2*(s : ℝ≥0∞)} from
noDropQuenched_small_translation ν ℓ x _]
exact hsmall
have hsb : μ B < 1/4 := by
rw [show μ B = environmentLaw ν {ω | noDropQuenched ℓ 0 ω ≤ 2*(s : ℝ≥0∞)} from
noDropQuenched_small_translation ν ℓ y _]
exact hsmall
have hsa' : μ.real A < 1/4 := by
have hh := (ENNReal.toReal_lt_toReal (measure_ne_top μ A) (by norm_num)).mpr hsa
norm_num at hh
exact hh
have hsb' : μ.real B < 1/4 := by
have hh := (ENNReal.toReal_lt_toReal (measure_ne_top μ B) (by norm_num)).mpr hsb
norm_num at hh
exact hh
have hgood : (1 : ℝ≥0∞)/2 ≤ μ (A ∪ B)ᶜ := by
apply (ENNReal.toReal_le_toReal (by norm_num) (measure_ne_top μ _)).mp
change ((1 : ℝ≥0∞)/2).toReal ≤ μ.real (A ∪ B)ᶜ
rw [probReal_compl_eq_one_sub (hA.union hB)]
norm_num only [ENNReal.toReal_div, ENNReal.toReal_one, ENNReal.toReal_ofNat]
linarith only [measureReal_union_le (μ := μ) A B, hsa', hsb']
have hsub : (A ∪ B)ᶜ ⊆ {ω | (s : ℝ≥0∞)^2 ≤
noDropQuenched ℓ x ω * noDropQuenched ℓ y ω} := by
intro ω hω
have hx : ¬noDropQuenched ℓ x ω ≤ 2*(s : ℝ≥0∞) := fun h => hω (Or.inl h)
have hy : ¬noDropQuenched ℓ y ω ≤ 2*(s : ℝ≥0∞) := fun h => hω (Or.inr h)
have hs2 : (s : ℝ≥0∞) ≤ 2*(s : ℝ≥0∞) := by
simpa only [one_mul] using mul_le_mul_left (by norm_num : (1 : ℝ≥0∞) ≤ 2) (s : ℝ≥0∞)
rw [pow_two]
exact mul_le_mul' (hs2.trans (le_of_not_ge hx)) (hs2.trans (le_of_not_ge hy))
calc
(s : ℝ≥0∞)^2/2 = (s : ℝ≥0∞)^2 * (1/2) := by rw [div_eq_mul_inv, one_div]
_ ≤ (s : ℝ≥0∞)^2 * μ {ω | (s : ℝ≥0∞)^2 ≤
noDropQuenched ℓ x ω * noDropQuenched ℓ y ω} :=
mul_le_mul_right (hgood.trans (measure_mono hsub)) _
_ ≤ sharedNoDropMass ν ℓ x y :=
mul_meas_ge_le_lintegral₀
((measurable_noDropQuenched ℓ x).mul (measurable_noDropQuenched ℓ y)).aemeasurable _
noncomputable def sharedConditionedPairLaw {d : ℕ} (ν : Measure (Row d))
(ℓ : Vector d) (x y : Lattice d) : Measure (Path d × Path d) :=
(sharedNoDropMass ν ℓ x y)⁻¹ •
(sharedPairLaw ν x y).restrict (NoDrop ℓ x ×ˢ NoDrop ℓ y)
lemma sharedConditionedPairLaw_probability {d : ℕ} (ν : Measure (Row d)) [IsProbabilityMeasure ν]
(ℓ : Vector d) (x y : Lattice d) (hp : sharedNoDropMass ν ℓ x y ≠ 0) :
IsProbabilityMeasure (sharedConditionedPairLaw ν ℓ x y) := by
constructor
simp only [sharedConditionedPairLaw, Measure.smul_apply, Measure.restrict_apply MeasurableSet.univ,
Set.univ_inter, smul_eq_mul, ← sharedNoDropMass_eq]
exact ENNReal.inv_mul_cancel hp (ne_of_lt ((sharedNoDropMass_le_one ν ℓ x y).trans_lt (by simp)))
noncomputable def annealedFrom {d : ℕ} (ν : Measure (Row d)) (x : Lattice d) :
Measure (Path d) := fixedQuenchedKernel x ∘ₘ environmentLaw ν
instance annealedFrom_probability {d : ℕ} (ν : Measure (Row d)) [IsProbabilityMeasure ν]
(x : Lattice d) : IsProbabilityMeasure (annealedFrom ν x) := by
unfold annealedFrom
infer_instance
lemma annealedFrom_apply {d : ℕ} (ν : Measure (Row d)) (x : Lattice d)
(A : Set (Path d)) (hA : MeasurableSet A) :
annealedFrom ν x A = ∫⁻ ω, quenchedKernel (ω,x) A ∂environmentLaw ν := by
rw [annealedFrom, Measure.bind_apply hA (Kernel.aemeasurable _)]
rfl
lemma annealedFrom_noDrop {d : ℕ} (ν : Measure (Row d)) [IsProbabilityMeasure ν]
(ℓ : Vector d) (x : Lattice d) :
annealedFrom ν x (NoDrop ℓ x) = annealedLaw ν (NoDrop ℓ 0) := by
rw [annealedFrom_apply ν x _ (measurableSet_noDrop ℓ x)]
exact annealed_noDrop_translation ν ℓ x
noncomputable def conditionedFrom {d : ℕ} (ν : Measure (Row d)) (ℓ : Vector d)
(x : Lattice d) : Measure (Path d) :=
(annealedLaw ν (NoDrop ℓ 0))⁻¹ • (annealedFrom ν x).restrict (NoDrop ℓ x)
lemma conditionedFrom_probability {d : ℕ} (ν : Measure (Row d)) [IsProbabilityMeasure ν]
(ℓ : Vector d) (x : Lattice d) (hp : annealedLaw ν (NoDrop ℓ 0) ≠ 0) :
IsProbabilityMeasure (conditionedFrom ν ℓ x) := by
constructor
simp only [conditionedFrom, Measure.smul_apply, Measure.restrict_apply MeasurableSet.univ,
Set.univ_inter, smul_eq_mul, annealedFrom_noDrop]
exact ENNReal.inv_mul_cancel hp (measure_ne_top _ _)
lemma sharedConditionedPairLaw_fst_le {d : ℕ} (ν : Measure (Row d)) [IsProbabilityMeasure ν]
(ℓ : Vector d) (x y : Lattice d) (A : Set (Path d)) (hA : MeasurableSet A)
(hp : annealedLaw ν (NoDrop ℓ 0) ≠ 0) :
sharedConditionedPairLaw ν ℓ x y (Prod.fst ⁻¹' A) ≤
(sharedNoDropMass ν ℓ x y)⁻¹ * annealedLaw ν (NoDrop ℓ 0) *
conditionedFrom ν ℓ x A := by
rw [sharedConditionedPairLaw, Measure.smul_apply,
Measure.restrict_apply (hA.preimage measurable_fst)]
have he : Prod.fst ⁻¹' A ∩ (NoDrop ℓ x ×ˢ NoDrop ℓ y) =
(A ∩ NoDrop ℓ x) ×ˢ NoDrop ℓ y := by
ext z
exact and_assoc.symm
rw [he, sharedPairLaw_rectangle ν x y _ _ (hA.inter (measurableSet_noDrop ℓ x))
(measurableSet_noDrop ℓ y)]
simp only [smul_eq_mul, conditionedFrom, Measure.smul_apply,
Measure.restrict_apply hA]
rw [← mul_assoc, mul_assoc _ (annealedLaw ν (NoDrop ℓ 0)),
ENNReal.mul_inv_cancel hp (measure_ne_top _ _), mul_one]
apply mul_le_mul_right
rw [annealedFrom_apply ν x _ (hA.inter (measurableSet_noDrop ℓ x))]
exact lintegral_mono fun ω => mul_le_of_le_one_right' prob_le_one
lemma sharedConditionedPairLaw_snd_le {d : ℕ} (ν : Measure (Row d)) [IsProbabilityMeasure ν]
(ℓ : Vector d) (x y : Lattice d) (A : Set (Path d)) (hA : MeasurableSet A)
(hp : annealedLaw ν (NoDrop ℓ 0) ≠ 0) :
sharedConditionedPairLaw ν ℓ x y (Prod.snd ⁻¹' A) ≤
(sharedNoDropMass ν ℓ x y)⁻¹ * annealedLaw ν (NoDrop ℓ 0) *
conditionedFrom ν ℓ y A := by
rw [sharedConditionedPairLaw, Measure.smul_apply,
Measure.restrict_apply (hA.preimage measurable_snd)]
have he : Prod.snd ⁻¹' A ∩ (NoDrop ℓ x ×ˢ NoDrop ℓ y) =
NoDrop ℓ x ×ˢ (A ∩ NoDrop ℓ y) := by
ext z
simp only [Set.mem_inter_iff, Set.mem_preimage, Set.mem_prod]
tauto
rw [he, sharedPairLaw_rectangle ν x y _ _ (measurableSet_noDrop ℓ x)
(hA.inter (measurableSet_noDrop ℓ y))]
simp only [smul_eq_mul, conditionedFrom, Measure.smul_apply,
Measure.restrict_apply hA]
rw [← mul_assoc, mul_assoc _ (annealedLaw ν (NoDrop ℓ 0)),
ENNReal.mul_inv_cancel hp (measure_ne_top _ _), mul_one]
apply mul_le_mul_right
rw [annealedFrom_apply ν y _ (hA.inter (measurableSet_noDrop ℓ y))]
exact lintegral_mono fun ω => mul_le_of_le_one_left' prob_le_one
lemma shared_pair_word_suffix {d : ℕ} (ν : Measure (Row d)) [IsProbabilityMeasure ν]
(x y : Lattice d) (w v : List (Direction d)) (T : Set (Lattice d))
(hx : wordPath x w w.length ∈ T) (hy : wordPath y v v.length ∈ T)
(hdis : Disjoint ((wordDepartures x w : Set (Lattice d)) ∪ wordDepartures y v) T)
(A B : Set (Path d)) (hA : MeasurableSet A) (hB : MeasurableSet B)
(hAT : A ⊆ Stay T) (hBT : B ⊆ Stay T) :
sharedPairLaw ν x y
(((fun X : Path d => fun j => X (w.length+j)) ⁻¹' A ∩ wordCylinder x w) ×ˢ
((fun X : Path d => fun j => X (v.length+j)) ⁻¹' B ∩ wordCylinder y v)) =
sharedPairLaw ν x y (wordCylinder x w ×ˢ wordCylinder y v) *
sharedPairLaw ν (wordPath x w w.length) (wordPath y v v.length) (A ×ˢ B) := by
let S : Set (Lattice d) := (wordDepartures x w : Set (Lattice d)) ∪ wordDepartures y v
have hmA : MeasurableSet ((fun X : Path d => fun j => X (w.length+j)) ⁻¹' A ∩
wordCylinder x w) := (hA.preimage (by fun_prop)).inter (measurableSet_wordCylinder x w)
have hmB : MeasurableSet ((fun X : Path d => fun j => X (v.length+j)) ⁻¹' B ∩
wordCylinder y v) := (hB.preimage (by fun_prop)).inter (measurableSet_wordCylinder y v)
have hw (ω : Environment d) : quenchedKernel (ω,x)
((fun X : Path d => fun j => X (w.length+j)) ⁻¹' A ∩ wordCylinder x w) =
ENNReal.ofReal (wordWeight ω x w) * quenchedKernel (ω, wordPath x w w.length) A := by
rw [show wordCylinder x w = pathCylinder (wordPath x w) w.length from rfl,
quenched_prefix_future ω x (wordPath x w) (wordPath_zero x w) w.length hA]
rw [show pathCylinder (wordPath x w) w.length = wordCylinder x w from rfl,
quenched_wordCylinder]
have hv (ω : Environment d) : quenchedKernel (ω,y)
((fun X : Path d => fun j => X (v.length+j)) ⁻¹' B ∩ wordCylinder y v) =
ENNReal.ofReal (wordWeight ω y v) * quenchedKernel (ω, wordPath y v v.length) B := by
rw [show wordCylinder y v = pathCylinder (wordPath y v) v.length from rfl,
quenched_prefix_future ω y (wordPath y v) (wordPath_zero y v) v.length hB]
rw [show pathCylinder (wordPath y v) v.length = wordCylinder y v from rfl,
quenched_wordCylinder]
rw [sharedPairLaw_rectangle ν x y _ _ hmA hmB]
simp_rw [hw,hv, mul_mul_mul_comm]
have hind := lintegral_mul_eq_lintegral_mul_lintegral_of_independent_measurableSpace
(rowSigma_le S) (rowSigma_le T) (environment_indep_rows ν hdis)
(((measurable_wordWeight_on x w (fun _ hz => Or.inl hz)).ennreal_ofReal).mul
((measurable_wordWeight_on y v (fun _ hz => Or.inr hz)).ennreal_ofReal))
((measurable_quenched_stay_event_rows T _ hx A hA hAT).mul
(measurable_quenched_stay_event_rows T _ hy B hB hBT))
simp only [Pi.mul_apply] at hind
rw [hind]
rw [sharedPairLaw_rectangle ν x y _ _ (measurableSet_wordCylinder x w)
(measurableSet_wordCylinder y v),
sharedPairLaw_rectangle ν (wordPath x w w.length) (wordPath y v v.length) _ _ hA hB]
simp only [quenched_wordCylinder]
lemma noDrop_real_integral_translation {d : ℕ} (ν : Measure (Row d))
[IsProbabilityMeasure ν] (ℓ : Vector d) (x : Lattice d) :
(∫ ω, (noDropQuenched ℓ x ω).toReal ∂environmentLaw ν) =
∫ ω, (noDropQuenched ℓ 0 ω).toReal ∂environmentLaw ν := by
conv_lhs => enter [2, ω]; rw [noDropQuenched_translation ℓ ω x]
have h := integral_map (μ := environmentLaw ν)
(show AEMeasurable (fun ω : Environment d => fun a => ω (x + a)) (environmentLaw ν) from
(by fun_prop : Measurable (fun ω : Environment d => fun a => ω (x + a))).aemeasurable)
((measurable_noDropQuenched ℓ 0).ennreal_toReal.aestronglyMeasurable)
rw [environment_translation] at h
exact h.symm
end DirectionalTransience
end
end
end OAI