import Mathlib import OAI.Probability.Ballisticity.Estimates.CurvePolicyPMF import OAI.Probability.Ballisticity.Estimates.CurvePolicyLateral import OAI.Probability.Ballisticity.Estimates.BindIntegral namespace OAI section section open MeasureTheory ProbabilityTheory Filter open scoped ENNReal NNReal Topology Classical namespace DirectionalTransience noncomputable def curvePolicyKernel {d : ℕ} (ℓ : Vector d) (f : Direction d) (x : Lattice d) (b : ℕ → ℝ) (B : ℝ) {H : ℕ} (hH : 0 < H) (E : Set (Lattice d)) (δ α : ℝ≥0∞) (dummy : Lattice d) : Kernel (Environment d) (Lattice d) where toFun := curvePolicy ℓ f x b B H E δ α dummy measurable' := (curvePolicy_rows ℓ f x b B hH E δ α dummy).mono (rowSigma_le _) le_rfl lemma curvePolicyKernel_markov {d : ℕ} (ℓ : Vector d) (f : Direction d) (x : Lattice d) (b : ℕ → ℝ) (B : ℝ) {H : ℕ} (hH : 0 < H) (E : Set (Lattice d)) {δ α : ℝ≥0∞} (hδ : 0 < δ) (hα : 0 < α) (dummy : Lattice d) : IsMarkovKernel (curvePolicyKernel ℓ f x b B hH E δ α dummy) := ⟨curvePolicy_probability ℓ f x b B H E hδ hα dummy⟩ lemma curvePolicy_average_toMeasure {d : ℕ} (ν : Measure (Row d)) [IsProbabilityMeasure ν] (ℓ : Vector d) (f : Direction d) (b : ℕ → ℝ) (B : ℝ) {H : ℕ} (hH : 0 < H) (E : Set (Lattice d)) {δ α : ℝ≥0∞} (hδ : 0 < δ) (hα : 0 < α) (dummy : Lattice d) : (curvePolicy_average ν ℓ f b B hH E hδ hα dummy).toMeasure = (environmentLaw ν).bind (curvePolicy ℓ f 0 b B H E δ α dummy) := by have := curvePolicy_average_probability ν ℓ f b B hH E hδ hα dummy exact Measure.toPMF_toMeasure _ lemma curvePolicy_average_square {d : ℕ} (ν : Measure (Row d)) [IsProbabilityMeasure ν] (e f : Direction d) (b : ℕ → ℝ) {B : ℝ} (hB : 0 ≤ B) {H : ℕ} (hH : 0 < H) (E : Set (Lattice d)) {δ α : ℝ≥0∞} (hδ : 0 < δ) (hα : 0 < α) (dummy : Lattice d) (hd : signedCoordinate f dummy = b H) : (∫ u, (signedCoordinate f u-b H)^2 ∂(curvePolicy_average ν (realPosition (step e)) f b B hH E hδ hα dummy).toMeasure) = ∫ ω, ∫ u, (signedCoordinate f u-b H)^2 ∂curvePolicy (realPosition (step e)) f 0 b B H E δ α dummy ω ∂environmentLaw ν := by rw [curvePolicy_average_toMeasure] exact integral_bind_nonneg_of_integrable _ _ ((curvePolicy_rows _ f 0 b B hH E δ α dummy).mono (rowSigma_le _) le_rfl) _ (measurable_of_countable _) (fun u => sq_nonneg _) (curvePolicy_square_integrable e f 0 b hB hH E hδ hα dummy hd) lemma curvePolicy_square_outer_integrable {d : ℕ} (ν : Measure (Row d)) [IsProbabilityMeasure ν] (e f : Direction d) (x : Lattice d) (b : ℕ → ℝ) {B : ℝ} (hB : 0 ≤ B) {H : ℕ} (hH : 0 < H) (E : Set (Lattice d)) {δ α : ℝ≥0∞} (hδ : 0 < δ) (hα : 0 < α) (dummy : Lattice d) (hd : signedCoordinate f dummy = b H) : Integrable (fun ω => ∫ u, (signedCoordinate f u-b H)^2 ∂curvePolicy (realPosition (step e)) f x b B H E δ α dummy ω) (environmentLaw ν) := by let Q := curvePolicyKernel (realPosition (step e)) f x b B hH E δ α dummy have hm : Measurable (fun ω => ∫ u, (signedCoordinate f u-b H)^2 ∂Q ω) := (measurable_of_countable _).stronglyMeasurable.integral_kernel.measurable apply Integrable.of_bound hm.aestronglyMeasurable (B^2) apply Eventually.of_forall intro ω have := curvePolicy_probability (realPosition (step e)) f x b B H E hδ hα dummy ω have hi := curvePolicy_square_integrable e f x b hB hH E hδ hα dummy hd ω have hh : (∫ u, (signedCoordinate f u-b H)^2 ∂curvePolicy (realPosition (step e)) f x b B H E δ α dummy ω) ≤ B^2 := by have hb : ∀ᵐ u ∂curvePolicy (realPosition (step e)) f x b B H E δ α dummy ω, (signedCoordinate f u-b H)^2 ≤ B^2 := by filter_upwards [curvePolicy_lateral_bound e f x b hB hH E δ α dummy hd ω] with u hu nlinarith [sq_abs (signedCoordinate f u-b H),sq_nonneg (B-|signedCoordinate f u-b H|),abs_nonneg (signedCoordinate f u-b H)] simpa using integral_mono_ae hi (integrable_const (B^2)) hb have h0 : 0 ≤ ∫ u, (signedCoordinate f u-b H)^2 ∂Q ω := integral_nonneg (fun u => sq_nonneg (signedCoordinate f u-b H)) rw [Real.norm_eq_abs,abs_of_nonneg h0] exact hh end DirectionalTransience end end end OAI