import Mathlib namespace OAI open MeasureTheory ProbabilityTheory Filter Preorder open scoped ENNReal BigOperators Topology namespace DirectionalZeroOne abbrev Site (d : ℕ) := Fin d → ℤ abbrev Step (d : ℕ) := Fin d × Bool def stepVector {d : ℕ} (e : Step d) : Site d := fun i => if i = e.1 then (if e.2 then 1 else -1) else 0 def Row (d : ℕ) := {p : Step d → ℝ // (∀ e, p e ∈ Set.Icc (0 : ℝ) 1) ∧ ∑ e, p e = 1} instance (d : ℕ) : MeasurableSpace (Row d) := inferInstanceAs (MeasurableSpace {p : Step d → ℝ // (∀ e, p e ∈ Set.Icc (0 : ℝ) 1) ∧ ∑ e, p e = 1}) abbrev Environment (d : ℕ) := Site d → Row d abbrev Path (d : ℕ) := ℕ → Site d abbrev State (d : ℕ) := Environment d × Site d def StrictEllipticity {d : ℕ} (μ : Measure (Row d)) : Prop := ∀ᵐ p ∂μ, ∀ e, 0 < p.val e noncomputable def environmentLaw {d : ℕ} (μ : Measure (Row d)) [IsProbabilityMeasure μ] : Measure (Environment d) := Measure.infinitePi (fun _ => μ) noncomputable def transition (d : ℕ) : Kernel (State d) (State d) where toFun s := ∑ e : Step d, ENNReal.ofReal ((s.1 s.2).val e) • Measure.dirac (s.1, s.2 + stepVector e) measurable' := by apply measurable_from_prod_countable_left intro x apply Finset.measurable_sum intro e he apply Measure.measurable_of_measurable_coe intro t ht simp only [Measure.smul_apply, smul_eq_mul] apply Measurable.mul · exact (measurable_pi_apply e |>.comp (measurable_subtype_coe.comp (measurable_pi_apply x))).ennreal_ofReal · exact (Measure.measurable_coe ht).comp (Measure.measurable_dirac.comp (measurable_id.prodMk measurable_const)) instance (d : ℕ) : IsMarkovKernel (transition d) where isProbabilityMeasure s := by constructor change (∑ e : Step d, ENNReal.ofReal ((s.1 s.2).val e) • Measure.dirac (s.1, s.2 + stepVector e)) Set.univ = 1 simp only [Measure.finsetSum_apply, Measure.smul_apply, Measure.dirac_apply_of_mem (Set.mem_univ _), smul_eq_mul, mul_one] rw [← ENNReal.ofReal_sum_of_nonneg] · rw [(s.1 s.2).property.2, ENNReal.ofReal_one] · intro e he exact ((s.1 s.2).property.1 e).1 noncomputable def historyKernel (d n : ℕ) : Kernel ((i : Finset.Iic n) → State d) (State d) := (transition d).comap (fun h => h ⟨n, Finset.mem_Iic.mpr le_rfl⟩) (measurable_pi_apply _) instance (d n : ℕ) : IsMarkovKernel (historyKernel d n) := by unfold historyKernel infer_instance noncomputable def initialLaw {d : ℕ} (μ : Measure (Row d)) [IsProbabilityMeasure μ] (x : Site d) : Measure (State d) := (environmentLaw μ).map (fun ω => (ω, x)) noncomputable def annealed {d : ℕ} (μ : Measure (Row d)) [IsProbabilityMeasure μ] (x : Site d) : Measure (Path d) := (Kernel.trajMeasure (X := fun _ => State d) (initialLaw μ x) (historyKernel d)).map (fun z n => (z n).2) def escape {d : ℕ} (ℓ : Fin d → ℝ) : Set (Path d) := {X | Tendsto (fun n => ∑ i, (X n i : ℝ) * ℓ i) atTop atTop} lemma probabilityMeasure_map {α β : Type*} [MeasurableSpace α] [MeasurableSpace β] {μ : Measure α} [IsProbabilityMeasure μ] {f : α → β} (hf : AEMeasurable f μ) : IsProbabilityMeasure (μ.map f) := (Measure.isProbabilityMeasure_map_iff hf).2 inferInstance instance {d : ℕ} (μ : Measure (Row d)) [IsProbabilityMeasure μ] : IsProbabilityMeasure (environmentLaw μ) := by unfold environmentLaw infer_instance instance {d : ℕ} (μ : Measure (Row d)) [IsProbabilityMeasure μ] (x : Site d) : IsProbabilityMeasure (initialLaw μ x) := by apply probabilityMeasure_map exact (measurable_id.prodMk measurable_const).aemeasurable instance {d : ℕ} (μ : Measure (Row d)) [IsProbabilityMeasure μ] (x : Site d) : IsProbabilityMeasure (annealed μ x) := by apply probabilityMeasure_map exact (Measurable.of_eval (fun n => measurable_snd.comp (measurable_pi_apply n))).aemeasurable lemma measurableSet_escape {d : ℕ} (ℓ : Fin d → ℝ) : MeasurableSet (escape ℓ) := by apply measurableSet_tendsto intro n exact (measurable_of_countable (fun x : Site d => ∑ i, (x i : ℝ) * ℓ i)).comp (measurable_pi_apply n) lemma all_rows_strictly_positive {d : ℕ} (μ : Measure (Row d)) [IsProbabilityMeasure μ] (hμ : StrictEllipticity μ) : ∀ᵐ ω ∂environmentLaw μ, ∀ x e, 0 < (ω x).val e := by rw [ae_all_iff] intro x apply ae_of_ae_map (μ := environmentLaw μ) (f := fun ω : Environment d => ω x) (p := fun p : Row d => ∀ e, 0 < p.val e) (measurable_pi_apply x).aemeasurable simpa only [environmentLaw, Measure.infinitePi_map_eval, StrictEllipticity] using hμ abbrev rowSigma {d : ℕ} (s : Set (Site d)) : MeasurableSpace (Environment d) := ⨆ x ∈ s, MeasurableSpace.comap (fun ω : Environment d => ω x) inferInstance lemma rowSigma_le {d : ℕ} (s : Set (Site d)) : rowSigma s ≤ (inferInstance : MeasurableSpace (Environment d)) := by exact iSup₂_le (fun x _ => (measurable_pi_apply x).comap_le) lemma measurable_row {d : ℕ} {s : Set (Site d)} {x : Site d} (hx : x ∈ s) : @Measurable (Environment d) (Row d) (rowSigma s) _ (fun ω => ω x) := by exact measurable_iff_comap_le.mpr (le_iSup₂_of_le x hx le_rfl) lemma independent_rowSigma {d : ℕ} (μ : Measure (Row d)) [IsProbabilityMeasure μ] {s t : Set (Site d)} (hst : Disjoint s t) : Indep (rowSigma s) (rowSigma t) (environmentLaw μ) := by apply indep_iSup_of_disjoint (fun x => (measurable_pi_apply x).comap_le) _ hst exact iIndepFun_infinitePi (X := fun _ (p : Row d) => p) (fun _ => measurable_id) noncomputable def quenchedWeight {d n : ℕ} (x : Fin n → Site d) (e : Fin n → Step d) (ω : Environment d) : ℝ≥0∞ := ∏ j, ENNReal.ofReal ((ω (x j)).val (e j)) noncomputable def wordWeight {d n : ℕ} (μ : Measure (Row d)) [IsProbabilityMeasure μ] (x : Fin n → Site d) (e : Fin n → Step d) : ℝ≥0∞ := ∫⁻ ω, quenchedWeight x e ω ∂environmentLaw μ lemma measurable_quenchedWeight_on_rows {d n : ℕ} (x : Fin n → Site d) (e : Fin n → Step d) : @Measurable (Environment d) ℝ≥0∞ (rowSigma (Set.range x)) _ (quenchedWeight x e) := by apply Finset.measurable_prod intro j hj exact ((measurable_pi_apply (e j)).comp (measurable_subtype_coe.comp (measurable_row (s := Set.range x) (x := x j) ⟨j, rfl⟩))).ennreal_ofReal lemma measurable_quenchedWeight {d n : ℕ} (x : Fin n → Site d) (e : Fin n → Step d) : Measurable (quenchedWeight x e) := (measurable_quenchedWeight_on_rows x e).mono (rowSigma_le _) le_rfl lemma departure_transfer {d n : ℕ} (μ : Measure (Row d)) [IsProbabilityMeasure μ] (x : Fin n → Site d) (e : Fin n → Step d) (f : Environment d → ℝ≥0∞) (hf : @Measurable (Environment d) ℝ≥0∞ (rowSigma ((Set.range x)ᶜ)) _ f) : (∫⁻ ω, quenchedWeight x e ω * f ω ∂environmentLaw μ) = wordWeight μ x e * ∫⁻ ω, f ω ∂environmentLaw μ := by exact lintegral_mul_eq_lintegral_mul_lintegral_of_independent_measurableSpace (rowSigma_le _) (rowSigma_le _) (independent_rowSigma μ disjoint_compl_right) (measurable_quenchedWeight_on_rows x e) hf lemma quenchedWeight_le_one {d n : ℕ} (x : Fin n → Site d) (e : Fin n → Step d) (ω : Environment d) : quenchedWeight x e ω ≤ 1 := by apply Finset.prod_le_one intro j hj exact ENNReal.ofReal_le_one.mpr ((ω (x j)).property.1 (e j)).2 lemma wordWeight_le_one {d n : ℕ} (μ : Measure (Row d)) [IsProbabilityMeasure μ] (x : Fin n → Site d) (e : Fin n → Step d) : wordWeight μ x e ≤ 1 := lintegral_le_const (ae_of_all _ (quenchedWeight_le_one x e)) lemma wordWeight_pos {d n : ℕ} (μ : Measure (Row d)) [IsProbabilityMeasure μ] (hμ : StrictEllipticity μ) (x : Fin n → Site d) (e : Fin n → Step d) : 0 < wordWeight μ x e := by apply pos_iff_ne_zero.mpr intro hz have hzero := (lintegral_eq_zero_iff (measurable_quenchedWeight x e)).mp hz obtain ⟨ω, hω, hωzero⟩ := ((all_rows_strictly_positive μ hμ).and hzero).exists have hp : 0 < quenchedWeight x e ω := by apply pos_iff_ne_zero.mpr apply Finset.prod_ne_zero_iff.mpr intro j hj exact ne_of_gt (ENNReal.ofReal_pos.mpr (hω (x j) (e j))) exact (ne_of_gt hp) hωzero noncomputable def meanStep {d : ℕ} (μ : Measure (Row d)) (e : Step d) : ℝ≥0∞ := ∫⁻ p, ENNReal.ofReal (p.val e) ∂μ lemma meanStep_pos {d : ℕ} (μ : Measure (Row d)) [IsProbabilityMeasure μ] (hμ : StrictEllipticity μ) (e : Step d) : 0 < meanStep μ e := by apply pos_iff_ne_zero.mpr intro hz have hm : Measurable (fun p : Row d => ENNReal.ofReal (p.val e)) := ((measurable_pi_apply e).comp measurable_subtype_coe).ennreal_ofReal have hzero := (lintegral_eq_zero_iff hm).mp hz obtain ⟨p, hp, hpzero⟩ := (hμ.and hzero).exists exact (ne_of_gt (ENNReal.ofReal_pos.mpr (hp e))) hpzero lemma meanStep_le_one {d : ℕ} (μ : Measure (Row d)) [IsProbabilityMeasure μ] (e : Step d) : meanStep μ e ≤ 1 := by apply lintegral_le_const exact ae_of_all _ (fun p => ENNReal.ofReal_le_one.mpr (p.property.1 e).2) lemma meanStep_at_site {d : ℕ} (μ : Measure (Row d)) [IsProbabilityMeasure μ] (x : Site d) (e : Step d) : (∫⁻ ω, ENNReal.ofReal ((ω x).val e) ∂environmentLaw μ) = meanStep μ e := by have hm : Measurable (fun p : Row d => ENNReal.ofReal (p.val e)) := ((measurable_pi_apply e).comp measurable_subtype_coe).ennreal_ofReal rw [← lintegral_map hm (measurable_pi_apply x)] simp only [environmentLaw, Measure.infinitePi_map_eval, meanStep] lemma fresh_word_weight {d n : ℕ} (μ : Measure (Row d)) [IsProbabilityMeasure μ] (x : Fin n → Site d) (e : Fin n → Step d) (hx : Function.Injective x) : wordWeight μ x e = ∏ j, meanStep μ (e j) := by have hi : iIndepFun (fun j : Fin n => fun ω : Environment d => ω (x j)) (environmentLaw μ) := iIndepFun.precomp hx (iIndepFun_infinitePi (X := fun _ (p : Row d) => p) (fun _ => measurable_id)) let f : Fin n → Row d → ℝ≥0∞ := fun j p => ENNReal.ofReal (p.val (e j)) have hf : ∀ j, Measurable (f j) := fun j => ((measurable_pi_apply (e j)).comp measurable_subtype_coe).ennreal_ofReal have hid := hi.comp f hf unfold wordWeight quenchedWeight rw [lintegral_prod_eq_prod_lintegral_of_indepFun] · exact Finset.prod_congr rfl (fun j hj => meanStep_at_site μ (x j) (e j)) · exact hid · intro j exact (hf j).comp (measurable_pi_apply (x j)) end DirectionalZeroOne end OAI