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| import Mathlib | |
| import OAI.Probability.Ballisticity.Estimates.ClippedInverse | |
| namespace OAI | |
| section | |
| section | |
| open MeasureTheory ProbabilityTheory Filter | |
| open scoped ENNReal NNReal BigOperators Topology | |
| namespace DirectionalTransience | |
| lemma convexOn_rpow_nonpos_Ici {δ p : ℝ} (hδ : 0 < δ) (hp : p ≤ 0) : | |
| ConvexOn ℝ (Set.Ici δ) (fun x : ℝ => x ^ p) := by | |
| refine ⟨convex_Ici δ, ?_⟩ | |
| intro x hx y hy a b ha hb hab | |
| have hx0 := hδ.trans_le hx | |
| have hy0 := hδ.trans_le hy | |
| have hz : 0 < a • x + b • y := | |
| hδ.trans_le ((convex_Ici δ) hx hy ha hb hab) | |
| have hl := (StrictConcaveOn.concaveOn strictConcaveOn_log_Ioi).2 hx0 hy0 ha hb hab | |
| have he := convexOn_exp.2 (Set.mem_univ (p * Real.log x)) | |
| (Set.mem_univ (p * Real.log y)) ha hb hab | |
| simp only [smul_eq_mul] at hl he hz ⊢ | |
| rw [Real.rpow_def_of_pos hz, Real.rpow_def_of_pos hx0, Real.rpow_def_of_pos hy0] | |
| calc | |
| Real.exp (Real.log (a * x + b * y) * p) ≤ | |
| Real.exp (a * (p * Real.log x) + b * (p * Real.log y)) := by | |
| apply Real.exp_le_exp.mpr | |
| nlinarith [mul_le_mul_of_nonpos_right hl hp] | |
| _ ≤ a * Real.exp (Real.log x * p) + b * Real.exp (Real.log y * p) := by | |
| simpa only [mul_comm p] using he | |
| lemma inverse_jensen_bounded {α : Type*} [MeasurableSpace α] | |
| (μ : Measure α) [IsProbabilityMeasure μ] {f : α → ℝ} (hf : Measurable f) | |
| {δ B lam : ℝ} (hδ : 0 < δ) (hlam : 0 ≤ lam) (hb : ∀ x, δ ≤ f x ∧ f x ≤ B) : | |
| (∫ x, f x ∂μ) ^ (-lam) ≤ ∫ x, (f x) ^ (-lam) ∂μ := by | |
| have hi : Integrable f μ := | |
| (MemLp.of_bound (p := 1) hf.aestronglyMeasurable B | |
| (Filter.Eventually.of_forall fun x => by | |
| simpa only [Real.norm_eq_abs, abs_of_nonneg (hδ.le.trans (hb x).1)] using | |
| (hb x).2)).integrable le_rfl | |
| have hj : Integrable (fun x => (f x) ^ (-lam)) μ := | |
| (MemLp.of_bound (p := 1) (hf.pow_const _).aestronglyMeasurable (δ ^ (-lam)) | |
| (Filter.Eventually.of_forall fun x => by | |
| rw [Real.norm_eq_abs, abs_of_nonneg (Real.rpow_nonneg (hδ.le.trans (hb x).1) _)] | |
| exact Real.rpow_le_rpow_of_nonpos hδ (hb x).1 (neg_nonpos.mpr hlam))).integrable le_rfl | |
| exact (convexOn_rpow_nonpos_Ici hδ (neg_nonpos.mpr hlam)).map_integral_le | |
| (continuousOn_id.rpow_const (fun x hx => Or.inl (ne_of_gt (hδ.trans_le hx)))) | |
| isClosed_Ici (Filter.Eventually.of_forall fun x => (hb x).1) hi hj | |
| lemma inverse_mixture_markov {Ω A : Type*} [MeasurableSpace Ω] [MeasurableSpace A] | |
| (μ : Measure Ω) (π : Measure A) [IsProbabilityMeasure μ] [IsProbabilityMeasure π] | |
| (F : Ω → A → ℝ) (hF : Measurable (Function.uncurry F)) (Q : Ω → ℝ) | |
| {δ₀ δ lam s K : ℝ} (hδ₀ : 0 < δ₀) (hlam : 0 ≤ lam) (hs : 0 < s) (hδs : δ ≤ s) | |
| (hb : ∀ ω a, δ₀ ≤ F ω a ∧ F ω a ≤ 1) | |
| (hQ : ∀ ω, (∫ a, F ω a ∂π) ≤ Q ω + δ) | |
| (hE : (∫ ω, ∫ a, (F ω a) ^ (-lam) ∂π ∂μ) ≤ K) : | |
| μ {ω | Q ω < 2 * s} ≤ ENNReal.ofReal ((3 * s) ^ lam * K) := by | |
| have hGi : Integrable (fun z : Ω × A => F z.1 z.2 ^ (-lam)) (μ.prod π) := | |
| (MemLp.of_bound (p := 1) (hF.pow_const _).aestronglyMeasurable (δ₀ ^ (-lam)) | |
| (Filter.Eventually.of_forall fun z => by | |
| change ‖F z.1 z.2 ^ (-lam)‖ ≤ _ | |
| rw [Real.norm_eq_abs, abs_of_nonneg (Real.rpow_nonneg (hδ₀.le.trans (hb z.1 z.2).1) _)] | |
| exact Real.rpow_le_rpow_of_nonpos hδ₀ (hb z.1 z.2).1 | |
| (neg_nonpos.mpr hlam))).integrable le_rfl | |
| have hJi ω : Integrable (F ω) π := | |
| (MemLp.of_bound (p := 1) (hF.comp (measurable_const.prodMk measurable_id)).aestronglyMeasurable 1 | |
| (Filter.Eventually.of_forall fun a => by | |
| change ‖F ω a‖ ≤ 1 | |
| rw [Real.norm_eq_abs, abs_of_nonneg (hδ₀.le.trans (hb ω a).1)] | |
| exact (hb ω a).2)).integrable le_rfl | |
| have hJpos ω : 0 < ∫ a, F ω a ∂π := by | |
| have hl := integral_mono (integrable_const δ₀) (hJi ω) (fun a => (hb ω a).1) | |
| have hl' : δ₀ ≤ ∫ a, F ω a ∂π := by simpa using hl | |
| exact hδ₀.trans_le hl' | |
| have hp : 0 < 3 * s := mul_pos (by norm_num) hs | |
| have hMeas := (hGi.integral_prod_left.const_mul ((3 * s) ^ lam)).measure_le_integral | |
| (Filter.Eventually.of_forall fun ω => mul_nonneg (Real.rpow_nonneg hp.le _) | |
| (integral_nonneg (fun a => Real.rpow_nonneg (hδ₀.le.trans (hb ω a).1) _))) | |
| (s := {ω | Q ω < 2 * s}) (fun ω hω => by | |
| have hJle : (∫ a, F ω a ∂π) ≤ 3 * s := by | |
| change Q ω < 2 * s at hω | |
| linarith [hQ ω] | |
| have hj := inverse_jensen_bounded π | |
| (hF.comp (measurable_const.prodMk measurable_id)) hδ₀ hlam (hb ω) | |
| have hr := Real.rpow_le_rpow_of_nonpos (hJpos ω) hJle (neg_nonpos.mpr hlam) | |
| calc | |
| 1 = (3 * s) ^ lam * (3 * s) ^ (-lam) := by | |
| rw [← Real.rpow_add hp, add_neg_cancel, Real.rpow_zero] | |
| _ ≤ (3 * s) ^ lam * ∫ a, F ω a ^ (-lam) ∂π := | |
| mul_le_mul_of_nonneg_left (hr.trans hj) (Real.rpow_nonneg hp.le _)) | |
| rw [integral_const_mul] at hMeas | |
| exact hMeas.trans (ENNReal.ofReal_le_ofReal | |
| (mul_le_mul_of_nonneg_left hE (Real.rpow_nonneg hp.le _))) | |
| theorem separated_initial_inverse_moment {d : ℕ} (ν : Measure (Row d)) | |
| [IsProbabilityMeasure ν] (hue : UniformElliptic ν) (ℓ : Vector d) | |
| (hℓ : dot ℓ ℓ = 1) (htrans : DirectionallyTransient ν ℓ) (e : Fin d) : | |
| ∃ lam C : ℝ, 0 < lam ∧ lam ≤ 1 ∧ 0 < C ∧ | |
| ∀ Bstar : ℝ, 0 < Bstar → ∀ k : ℕ, 1 ≤ k → ∃ G : ℕ, | |
| ∀ (π : Measure (Fin k → Lattice d)) [IsProbabilityMeasure π], | |
| (∀ᵐ x ∂π, Pairwise fun i j => (G : ℤ) ≤ |x i e - x j e|) → | |
| ∀ s : ℝ, Real.exp (-Bstar) ≤ s → | |
| (environmentLaw ν) {ω | (∫ x, noDropProduct ℓ x ω ∂π) < 2 * s} ≤ | |
| ENNReal.ofReal (Real.exp (C * k) * s ^ lam) := by | |
| classical | |
| obtain ⟨lam, hlam, hlam1, hmom⟩ := noDrop_real_inverse_moment ν hue ℓ hℓ htrans | |
| let M := max 1 (∫ ω, (noDropQuenched ℓ 0 ω).toReal ^ (-lam) ∂environmentLaw ν) | |
| have hM : 1 ≤ M := le_max_left _ _ | |
| have hM0 : 0 ≤ M := zero_le_one.trans hM | |
| let C := Real.log (6 * M) | |
| have hC : 0 < C := Real.log_pos (by linarith) | |
| refine ⟨lam, C, hlam, hlam1, hC, ?_⟩ | |
| intro Bstar hBstar k hk | |
| let δ := Real.exp (-Bstar) | |
| have hδ : 0 < δ := Real.exp_pos _ | |
| have hδ1 : δ ≤ 1 := Real.exp_le_one_iff.mpr (neg_nonpos.mpr hBstar.le) | |
| have hpos : ∀ᵐ ω ∂environmentLaw ν, 0 < noDropQuenched ℓ 0 ω := by | |
| filter_upwards [quenched_noDrop_positive_of_directionallyTransient ν hue ℓ hℓ htrans] with ω hω | |
| exact hω 0 | |
| obtain ⟨n, hn⟩ := separated_noDropProduct_inverse_bound ν ℓ hδ hlam.le hpos hmom k | |
| refine ⟨2 * n + 1, ?_⟩ | |
| intro π hπ hsep s hs | |
| have hs0 : 0 < s := hδ.trans_le hs | |
| let F : Environment d → (Fin k → Lattice d) → ℝ := fun ω x => clippedNoDropProduct ℓ δ x ω | |
| have hF : Measurable (Function.uncurry F) := clippedNoDropProduct_measurable ℓ δ | |
| have hb ω x : δ ^ k ≤ F ω x ∧ F ω x ≤ 1 := | |
| clippedNoDropProduct_bounds ℓ hδ.le hδ1 x ω | |
| have hGi : Integrable (fun z : Environment d × (Fin k → Lattice d) => | |
| F z.1 z.2 ^ (-lam)) ((environmentLaw ν).prod π) := by | |
| apply integrable_of_nonneg_bound _ (hF.pow_const _) | |
| intro z | |
| exact ⟨Real.rpow_nonneg ((pow_pos hδ k).le.trans (hb z.1 z.2).1) _, | |
| Real.rpow_le_rpow_of_nonpos (pow_pos hδ k) (hb z.1 z.2).1 (neg_nonpos.mpr hlam.le)⟩ | |
| have hE : (∫ ω, ∫ x, F ω x ^ (-lam) ∂π ∂environmentLaw ν) ≤ 2 * M ^ k := by | |
| rw [integral_integral_swap hGi] | |
| have hh := integral_mono_ae hGi.integral_prod_right (integrable_const (2 * M ^ k)) | |
| (hsep.mono fun x hx => hn x (fun i j hij => latticeBall_disjoint_of_coordinate_gap e | |
| (by have h := hx hij; omega))) | |
| simpa using hh | |
| have hQ ω : (∫ x, F ω x ∂π) ≤ (∫ x, noDropProduct ℓ x ω ∂π) + δ := by | |
| have hI : Integrable (noDropProduct ℓ · ω) π := | |
| integrable_of_nonneg_bound π (measurable_of_countable _) (fun x => noDropProduct_bounds ℓ x ω) | |
| have hJ : Integrable (F ω) π := | |
| integrable_of_nonneg_bound π (measurable_of_countable _) (fun x => | |
| ⟨(pow_pos hδ k).le.trans (hb ω x).1, (hb ω x).2⟩) | |
| calc | |
| (∫ x, F ω x ∂π) ≤ ∫ x, noDropProduct ℓ x ω + δ ∂π := | |
| integral_mono hJ (hI.add (integrable_const δ)) (clippedNoDropProduct_error ℓ hδ.le hδ1 · ω) | |
| _ = (∫ x, noDropProduct ℓ x ω ∂π) + δ := by simp [integral_add hI (integrable_const δ)] | |
| have hmark := inverse_mixture_markov (environmentLaw ν) π F hF | |
| (fun ω => ∫ x, noDropProduct ℓ x ω ∂π) (pow_pos hδ k) hlam.le hs0 hs hb hQ hE | |
| apply hmark.trans (ENNReal.ofReal_le_ofReal ?_) | |
| have h3 : (3 : ℝ) ^ lam ≤ 3 := by | |
| simpa only [Real.rpow_one] using Real.rpow_le_rpow_of_exponent_le (show (1 : ℝ) ≤ 3 by norm_num) hlam1 | |
| have h6 : (6 : ℝ) ≤ 6 ^ k := by | |
| have h := pow_le_pow_right₀ (show (1 : ℝ) ≤ 6 by norm_num) hk | |
| simpa only [pow_one] using h | |
| have hexp : Real.exp (C * k) = (6 * M) ^ k := by | |
| rw [mul_comm, Real.exp_nat_mul, Real.exp_log (by positivity : 0 < 6 * M)] | |
| rw [hexp, Real.mul_rpow (by norm_num : (0 : ℝ) ≤ 3) hs0.le, mul_pow] | |
| have hsp : 0 ≤ s ^ lam := Real.rpow_nonneg hs0.le _ | |
| calc | |
| 3 ^ lam * s ^ lam * (2 * M ^ k) ≤ 6 * M ^ k * s ^ lam := by | |
| nlinarith [mul_le_mul_of_nonneg_right h3 (mul_nonneg hsp (pow_nonneg hM0 k))] | |
| _ ≤ 6 ^ k * M ^ k * s ^ lam := by gcongr | |
| lemma hitKernel_apply_eq_hit {d : ℕ} {S T : Set (Lattice d)} | |
| (hST : Disjoint S T) (U : Set (Lattice d)) (z : State d) : | |
| hitKernel S T z U = quenchedKernel z (Hit S (T ∩ U)) := by | |
| rw [hitKernel_apply] | |
| exact (measure_iUnion (hitAt_pairwise_disjoint (hST.mono_right Set.inter_subset_left)) | |
| (measurableSet_hitAt S (T ∩ U))).symm | |
| lemma hit_concatenation {d : ℕ} {S₁ T₁ S₂ T₂ S : Set (Lattice d)} | |
| (h₁ : S₁ ⊆ S) (h₂ : S₂ ⊆ S) : | |
| (⋃ n, HitAt S₁ T₁ n ∩ FutureEvent (fun _ => Hit S₂ T₂) n) ⊆ Hit S T₂ := by | |
| rintro X hX | |
| obtain ⟨n, hn, hfuture⟩ := Set.mem_iUnion.mp hX | |
| obtain ⟨m, hm⟩ := Set.mem_iUnion.mp hfuture | |
| apply Set.mem_iUnion.mpr | |
| refine ⟨n + m, hm.1, ?_⟩ | |
| intro j hj | |
| by_cases hjn : j < n | |
| · exact h₁ (hn.2 j hjn) | |
| · have hn : n ≤ j := by omega | |
| have hsub : j - n < m := by omega | |
| have := h₂ (hm.2 (j - n) hsub) | |
| simpa only [Nat.add_sub_of_le hn] using this | |
| lemma hitKernel_comp_le {d : ℕ} (ω : Environment d) (x : Lattice d) | |
| {S₁ T₁ S₂ T₂ S : Set (Lattice d)} | |
| (hST₁ : Disjoint S₁ T₁) (hST₂ : Disjoint S₂ T₂) (hST : Disjoint S T₂) | |
| (h₁ : S₁ ⊆ S) (h₂ : S₂ ⊆ S) (U : Set (Lattice d)) : | |
| (∫⁻ y, hitKernel S₂ T₂ (ω, y) U ∂hitKernel S₁ T₁ (ω, x)) ≤ | |
| hitKernel S T₂ (ω, x) U := by | |
| simp_rw [hitKernel_apply_eq_hit hST₂ U] | |
| rw [hitKernel_future ω x hST₁ (fun _ => Hit S₂ (T₂ ∩ U)) | |
| (fun _ => measurableSet_hit _ _), hitKernel_apply_eq_hit hST U] | |
| exact measure_mono (hit_concatenation h₁ h₂) | |
| def HeightSlab {d : ℕ} (i : Fin d) (a b : ℤ) : Set (Lattice d) := | |
| {x | a ≤ x i ∧ x i < b} | |
| def HeightLayer {d : ℕ} (i : Fin d) (b : ℤ) : Set (Lattice d) := | |
| {x | x i = b} | |
| lemma heightSlab_disjoint_layer {d : ℕ} (i : Fin d) (a b : ℤ) : | |
| Disjoint (HeightSlab i a b) (HeightLayer i b) := by | |
| apply Set.disjoint_left.mpr | |
| intro x hx hy | |
| exact (ne_of_lt hx.2) hy | |
| noncomputable def heightKernel {d : ℕ} (i : Fin d) (a b : ℤ) : | |
| Kernel (State d) (Lattice d) := | |
| hitKernel (HeightSlab i a b) (HeightLayer i b) | |
| lemma heightKernel_total_le_one {d : ℕ} (i : Fin d) (a b : ℤ) (z : State d) : | |
| heightKernel i a b z Set.univ ≤ 1 := | |
| hitKernel_total_le_one (heightSlab_disjoint_layer i a b) z | |
| instance heightKernel_finite {d : ℕ} (i : Fin d) (a b : ℤ) : | |
| IsFiniteKernel (heightKernel i a b) where | |
| exists_univ_le := ⟨1, ENNReal.one_lt_top, heightKernel_total_le_one i a b⟩ | |
| lemma heightKernel_supported {d : ℕ} (i : Fin d) (a b : ℤ) (z : State d) : | |
| ∀ᵐ y ∂heightKernel i a b z, y i = b := by | |
| rw [ae_iff] | |
| change hitKernel (HeightSlab i a b) (HeightLayer i b) z (HeightLayer i b)ᶜ = 0 | |
| rw [hitKernel_apply_eq_hit (heightSlab_disjoint_layer i a b), Set.inter_compl_self] | |
| have he : Hit (HeightSlab i a b) ∅ = ∅ := by | |
| ext X | |
| simp [Hit, HitAt] | |
| rw [he, measure_empty] | |
| lemma heightKernel_rows {d : ℕ} (i : Fin d) {a b : ℤ} (hab : a < b) | |
| (x : Lattice d) (hx : x i = a) : | |
| @Measurable _ _ (rowSigma (HeightSlab i a b)) _ | |
| (fun ω : Environment d => heightKernel i a b (ω, x)) := by | |
| exact measurable_hitKernel_rows _ _ x ⟨by simpa only [hx] using (le_refl a), by simpa only [hx]⟩ | |
| lemma heightKernel_comp_le {d : ℕ} (i : Fin d) {a b c : ℤ} | |
| (hab : a ≤ b) (hbc : b ≤ c) (ω : Environment d) (x : Lattice d) | |
| (U : Set (Lattice d)) : | |
| (∫⁻ y, heightKernel i b c (ω, y) U ∂heightKernel i a b (ω, x)) ≤ | |
| heightKernel i a c (ω, x) U := by | |
| exact hitKernel_comp_le ω x (heightSlab_disjoint_layer i a b) | |
| (heightSlab_disjoint_layer i b c) (heightSlab_disjoint_layer i a c) | |
| (fun _ h => ⟨h.1, h.2.trans_le hbc⟩) | |
| (fun _ h => ⟨hab.trans h.1, h.2⟩) U | |
| noncomputable def normalizedMeasure {α : Type*} [MeasurableSpace α] | |
| (μ : Measure α) : Measure α := (μ Set.univ)⁻¹ • μ | |
| lemma normalizedMeasure_probability {α : Type*} [MeasurableSpace α] | |
| (μ : Measure α) [IsFiniteMeasure μ] (hμ : μ Set.univ ≠ 0) : | |
| IsProbabilityMeasure (normalizedMeasure μ) := by | |
| constructor | |
| simp only [normalizedMeasure, Measure.smul_apply, smul_eq_mul] | |
| exact ENNReal.inv_mul_cancel hμ (measure_ne_top μ Set.univ) | |
| lemma mass_smul_normalizedMeasure {α : Type*} [MeasurableSpace α] | |
| (μ : Measure α) [IsFiniteMeasure μ] : | |
| μ Set.univ • normalizedMeasure μ = μ := by | |
| by_cases hμ : μ Set.univ = 0 | |
| · have hzero : μ = 0 := Measure.measure_univ_eq_zero.mp hμ | |
| simp [hzero, normalizedMeasure] | |
| · rw [normalizedMeasure, smul_smul, | |
| ENNReal.mul_inv_cancel hμ (measure_ne_top μ Set.univ), one_smul] | |
| lemma integral_normalized_comp {α : Type*} [MeasurableSpace α] | |
| (μ : Measure α) [IsFiniteMeasure μ] (f : α → ℝ≥0∞) : | |
| μ Set.univ * (∫⁻ x, f x ∂normalizedMeasure μ) = ∫⁻ x, f x ∂μ := by | |
| change μ Set.univ • (∫⁻ x, f x ∂normalizedMeasure μ) = _ | |
| rw [← lintegral_smul_measure, mass_smul_normalizedMeasure] | |
| lemma retained_kernel_comp_le {d : ℕ} (i : Fin d) {a b c : ℤ} | |
| (hab : a ≤ b) (hbc : b ≤ c) (ω : Environment d) (x : Lattice d) | |
| (ρ : Measure (Lattice d)) (hρ : ρ ≤ heightKernel i a b (ω, x)) | |
| (U : Set (Lattice d)) : | |
| ρ Set.univ * (∫⁻ y, heightKernel i b c (ω, y) U ∂normalizedMeasure ρ) ≤ | |
| heightKernel i a c (ω, x) U := by | |
| have : IsFiniteMeasure ρ := ⟨lt_of_le_of_lt (hρ Set.univ) | |
| (measure_lt_top (heightKernel i a b (ω, x)) Set.univ)⟩ | |
| rw [integral_normalized_comp] | |
| exact (lintegral_mono' hρ le_rfl).trans (heightKernel_comp_le i hab hbc ω x U) | |
| lemma pathCylinder_weight_locality {d : ℕ} (S : Set (Lattice d)) | |
| (ω η : Environment d) (hωη : Set.EqOn ω η S) (x : Lattice d) | |
| (f : Path d) (n : ℕ) (hf : ∀ j < n, f j ∈ S) : | |
| quenchedKernel (ω, x) (pathCylinder f n) = | |
| quenchedKernel (η, x) (pathCylinder f n) := by | |
| by_cases hfx : f 0 = x | |
| · rw [quenched_pathCylinder ω x f hfx, quenched_pathCylinder η x f hfx] | |
| exact Finset.prod_congr rfl fun j hj => by | |
| simp only [edgeWeight, hωη (hf j (Finset.mem_range.mp hj))] | |
| · rw [quenched_pathCylinder_zero ω x f hfx, quenched_pathCylinder_zero η x f hfx] | |
| lemma quenched_restrict_stay_congr {d : ℕ} (S : Set (Lattice d)) | |
| (ω η : Environment d) (hωη : Set.EqOn ω η S) (x : Lattice d) : | |
| (quenchedKernel (ω, x)).restrict (Stay S) = | |
| (quenchedKernel (η, x)).restrict (Stay S) := by | |
| apply pathMeasure_ext | |
| intro f n | |
| rw [Measure.restrict_apply (measurableSet_pathCylinder f n), | |
| Measure.restrict_apply (measurableSet_pathCylinder f n)] | |
| by_cases hf : ∀ j ≤ n, f j ∈ S | |
| · have he : pathCylinder f n ∩ Stay S = | |
| (fun X : Path d => fun j => X (n + j)) ⁻¹' Stay S ∩ pathCylinder f n := by | |
| ext X | |
| constructor | |
| · rintro ⟨hX, hS⟩ | |
| exact ⟨fun j => hS (n + j), hX⟩ | |
| · rintro ⟨hS, hX⟩ | |
| refine ⟨hX, fun j => ?_⟩ | |
| by_cases hj : j ≤ n | |
| · simpa only [hX j hj] using hf j hj | |
| · have hnj : n ≤ j := by omega | |
| simpa only [Nat.add_sub_of_le hnj] using hS (j - n) | |
| rw [he] | |
| by_cases hfx : f 0 = x | |
| · rw [quenched_prefix_future ω x f hfx n (measurableSet_stay S), | |
| quenched_prefix_future η x f hfx n (measurableSet_stay S), | |
| pathCylinder_weight_locality S ω η hωη x f n (fun j hj => hf j hj.le), | |
| quenched_stay_congr S ω η hωη (f n)] | |
| · rw [measure_mono_null Set.inter_subset_right (quenched_pathCylinder_zero ω x f hfx n), | |
| measure_mono_null Set.inter_subset_right (quenched_pathCylinder_zero η x f hfx n)] | |
| · have he : pathCylinder f n ∩ Stay S = ∅ := by | |
| apply Set.eq_empty_iff_forall_notMem.mpr | |
| rintro X ⟨hX, hS⟩ | |
| exact hf fun j hj => by simpa only [← hX j hj] using hS j | |
| rw [he] | |
| simp | |
| lemma quenched_stay_event_congr {d : ℕ} (A : Set (Path d)) | |
| (T : Set (Lattice d)) (hA : MeasurableSet A) (hAT : A ⊆ Stay T) | |
| (ω η : Environment d) (hωη : Set.EqOn ω η T) (x : Lattice d) : | |
| quenchedKernel (ω, x) A = quenchedKernel (η, x) A := by | |
| have := congrArg (fun μ : Measure (Path d) => μ A) | |
| (quenched_restrict_stay_congr T ω η hωη x) | |
| simpa only [Measure.restrict_apply hA, Set.inter_eq_left.mpr hAT] using this | |
| lemma measurable_quenched_stay_event_rows {d : ℕ} (T : Set (Lattice d)) | |
| (x : Lattice d) (hx : x ∈ T) (A : Set (Path d)) | |
| (hA : MeasurableSet A) (hAT : A ⊆ Stay T) : | |
| @Measurable _ _ (rowSigma T) _ (fun ω : Environment d => quenchedKernel (ω, x) A) := by | |
| apply measurable_of_row_locality _ | |
| ((Kernel.measurable_coe _ hA).comp (measurable_id.prodMk measurable_const)) T x hx | |
| intro ω η h | |
| exact quenched_stay_event_congr A T hA hAT ω η h x | |
| lemma annealed_event_translation {d : ℕ} (ν : Measure (Row d)) [IsProbabilityMeasure ν] | |
| (x : Lattice d) (A : Set (Path d)) (hA : MeasurableSet A) : | |
| (∫⁻ ω, quenchedKernel (ω, x) ((fun X : Path d => fun n => X n - x) ⁻¹' A) | |
| ∂environmentLaw ν) = annealedLaw ν A := by | |
| have ht : Measurable (fun X : Path d => fun n => X n - x) := by fun_prop | |
| have he (ω : Environment d) : | |
| quenchedKernel (ω, x) ((fun X : Path d => fun n => X n - x) ⁻¹' A) = | |
| quenchedKernel ((fun a => ω (x + a)), 0) A := by | |
| have := congrArg (fun μ : Measure (Path d) => μ A) (quenched_translation ω x 0) | |
| rw [Measure.map_apply ht hA] at this | |
| simpa only [add_zero] using this | |
| simp_rw [he] | |
| have hm : Measurable (fun ω : Environment d => quenchedKernel (ω, 0) A) := | |
| (Kernel.measurable_coe _ hA).comp (measurable_id.prodMk measurable_const) | |
| rw [← lintegral_map hm (show Measurable (fun ω : Environment d => fun a => ω (x + a)) by | |
| fun_prop), environment_translation, ← annealed_apply ν hA] | |
| lemma annealed_record_suffix {d : ℕ} (ν : Measure (Row d)) [IsProbabilityMeasure ν] | |
| (ℓ : Vector d) (w : List (Direction d)) | |
| (hrecord : ∀ y ∈ wordDepartures 0 w, | |
| dot (realPosition y) ℓ < dot (realPosition (wordPath 0 w w.length)) ℓ) | |
| (A : Set (Path d)) (hA : MeasurableSet A) (hAD : A ⊆ NoDrop ℓ 0) : | |
| annealedLaw ν ((fun X : Path d => fun j => X (w.length + j) - | |
| wordPath 0 w w.length) ⁻¹' A ∩ wordCylinder 0 w) = | |
| annealedLaw ν (wordCylinder 0 w) * annealedLaw ν A := by | |
| let y := wordPath 0 w w.length | |
| let S : Set (Lattice d) := ↑(wordDepartures 0 w) | |
| let T : Set (Lattice d) := {z | dot (realPosition y) ℓ ≤ dot (realPosition z) ℓ} | |
| let B : Set (Path d) := (fun X : Path d => fun j => X j - y) ⁻¹' A | |
| have hB : MeasurableSet B := hA.preimage (by fun_prop) | |
| have hBT : B ⊆ Stay T := by | |
| intro X hX j | |
| have h := hAD hX j | |
| change dot (realPosition y) ℓ ≤ dot (realPosition (X j)) ℓ | |
| change dot (realPosition 0) ℓ ≤ dot (realPosition (X j - y)) ℓ at h | |
| rw [dot_realPosition_sub] at h | |
| have hzero : dot (realPosition (0 : Lattice d)) ℓ = 0 := by simp [dot, realPosition] | |
| rw [hzero] at h | |
| linarith | |
| have hST : Disjoint S T := by | |
| apply Set.disjoint_left.mpr | |
| intro z hz hz' | |
| exact (not_le_of_gt (hrecord z hz)) hz' | |
| have hw (ω : Environment d) : quenchedKernel (ω, 0) | |
| ((fun X : Path d => fun j => X (w.length + j) - y) ⁻¹' A ∩ wordCylinder 0 w) = | |
| ENNReal.ofReal (wordWeight ω 0 w) * quenchedKernel (ω, y) B := by | |
| have hh := quenched_prefix_future ω 0 (wordPath 0 w) (by simp) w.length hB | |
| change quenchedKernel (ω, 0) (_ ∩ wordCylinder 0 w) = | |
| quenchedKernel (ω, 0) (wordCylinder 0 w) * quenchedKernel (ω, y) B at hh | |
| rwa [quenched_wordCylinder] at hh | |
| rw [annealed_apply ν ((hA.preimage (by fun_prop)).inter (measurableSet_wordCylinder 0 w))] | |
| change (∫⁻ ω, quenchedKernel (ω, 0) | |
| ((fun X : Path d => fun j => X (w.length + j) - y) ⁻¹' A ∩ wordCylinder 0 w) | |
| ∂environmentLaw ν) = _ | |
| simp_rw [hw] | |
| rw [lintegral_mul_eq_lintegral_mul_lintegral_of_independent_measurableSpace | |
| (rowSigma_le S) (rowSigma_le T) (environment_indep_rows ν hST) | |
| ((measurable_wordWeight_on 0 w (fun _ hz => hz)).ennreal_ofReal) | |
| (measurable_quenched_stay_event_rows T y | |
| (show dot (realPosition y) ℓ ≤ dot (realPosition y) ℓ from le_rfl) B hB hBT)] | |
| rw [← annealed_wordCylinder, annealed_event_translation ν y A hA] | |
| end DirectionalTransience | |
| end | |
| end | |
| end OAI | |