import OAI.Probability.FreeIsing.Brownian.ArrayObservation import OAI.Probability.FreeIsing.Conditioning.Naturality import OAI.Probability.FreeIsing.Factors.CoordinateNaturality import OAI.Probability.FreeIsing.Posterior.PlantedStationarity namespace OAI noncomputable section open MeasureTheory open scoped NNReal namespace Problem367 lemma measurable_arrayNaturalFiltration_of_intertwining {ι Ω : Type*} [MeasurableSpace Ω] (X : ι → ℝ≥0 → Ω → ℝ) (hmX : ∀ i t, Measurable (X i t)) (T : Ω → Ω) (r : ι → ι) (hT : ∀ i t ω, X i t (T ω) = X (r i) t ω) (t : ℝ≥0) : Measurable[arrayNaturalFiltration X hmX t, arrayNaturalFiltration X hmX t] T := by rw [arrayNaturalFiltration_eq_comap] apply measurable_comap_iff.mpr have heq : (fun ω i (s : Set.Iic t) => X i s ω) ∘ T = (fun x : ι → Set.Iic t → ℝ => fun i s => x (r i) s) ∘ (fun ω i (s : Set.Iic t) => X i s ω) := by funext ω i s exact hT i s ω rw [heq] exact (Measurable.of_eval fun index => Measurable.of_eval fun time => (measurable_pi_apply time).comp (measurable_pi_apply (r index))).comp (comap_measurable _) theorem ae_all_nnrealTimePrimitive_eq_of_version {Ω : Type*} [MeasurableSpace Ω] (P : Measure Ω) [SFinite P] {m n : ℝ≥0 → Ω → ℝ} (hm : Measurable (fun p : ℝ≥0 × Ω => m p.1 p.2)) (hn : Measurable (fun p : ℝ≥0 × Ω => n p.1 p.2)) (heq : ∀ t, m t =ᵐ[P] n t) : ∀ᵐ ω ∂P, ∀ t, nnrealTimePrimitive m t ω = nnrealTimePrimitive n t ω := by have hmR : Measurable (fun p : ℝ × Ω => m p.1.toNNReal p.2) := hm.comp (show Measurable (fun p : ℝ × Ω => (p.1.toNNReal, p.2)) by fun_prop) have hnR : Measurable (fun p : ℝ × Ω => n p.1.toNNReal p.2) := hn.comp (show Measurable (fun p : ℝ × Ω => (p.1.toNNReal, p.2)) by fun_prop) have htime : ∀ᵐ ω ∂P, ∀ᵐ (s : ℝ) ∂volume, m s.toNNReal ω = n s.toNNReal ω := (Measure.ae_ae_comm (μ := (volume : Measure ℝ)) (ν := P) (p := fun s ω => m s.toNNReal ω = n s.toNNReal ω) (measurableSet_eq_fun hmR hnR)).mp (Filter.Eventually.of_forall fun (s : ℝ) => heq s.toNNReal) filter_upwards [htime] with ω hω intro t exact intervalIntegral.integral_congr_ae (hω.mono fun _ hs _ => hs) namespace ArrayPosteriorStationarity variable {d : ℕ} {A : Type*} [MeasurableSpace A] def plantedRelabel (g : TreeAut d) : ((TreeVertex d → IsingSpin) × (TreeVertex d → A)) ≃ᵐ ((TreeVertex d → IsingSpin) × (TreeVertex d → A)) := (coordinateRelabelEquiv g.toEquiv).prodCongr (coordinateRelabelEquiv g.toEquiv) def spinArray (σ : TreeVertex d → IsingSpin) : TreeVertex d → ℝ := fun v => spinSign (σ v) lemma measurable_spinArray : Measurable (spinArray (d := d)) := by have hm : Measurable spinSign := by intro s hs; trivial exact Measurable.of_eval fun vertex => hm.comp (measurable_pi_apply vertex) def filtration (B : ℝ≥0 → A → ℝ) (hmB : ∀ t, Measurable (B t)) : Filtration ℝ≥0 (inferInstance : MeasurableSpace ((TreeVertex d → IsingSpin) × (TreeVertex d → A))) := arrayObservationFiltration (fun _ : TreeVertex d => B) (fun _ => hmB) spinArray measurable_spinArray lemma measurable_plantedRelabel_filtration (B : ℝ≥0 → A → ℝ) (hmB : ∀ t, Measurable (B t)) (g : TreeAut d) (t : ℝ≥0) : Measurable[filtration B hmB t, filtration B hmB t] (plantedRelabel (A := A) g) := by apply measurable_arrayNaturalFiltration_of_intertwining (plantedArrayObservation (fun _ : TreeVertex d => B) spinArray) (plantedArrayObservation_measurable (fun _ => hmB) measurable_spinArray) (plantedRelabel g) g.toEquiv.symm intro i s q rfl lemma measurable_plantedRelabel_symm_filtration (B : ℝ≥0 → A → ℝ) (hmB : ∀ t, Measurable (B t)) (g : TreeAut d) (t : ℝ≥0) : Measurable[filtration B hmB t, filtration B hmB t] (plantedRelabel (A := A) g).symm := by apply measurable_arrayNaturalFiltration_of_intertwining (plantedArrayObservation (fun _ : TreeVertex d => B) spinArray) (plantedArrayObservation_measurable (fun _ => hmB) measurable_spinArray) (plantedRelabel g).symm g.toEquiv intro i s q rfl lemma measurePreserving_plantedRelabel {theta : ℝ} {μ : Measure (TreeVertex d → IsingSpin)} (hμ : HasFreeIsingLaw theta μ) (ν : Measure A) [IsProbabilityMeasure ν] (g : TreeAut d) : MeasurePreserving (plantedRelabel (A := A) g) (μ.prod (Measure.infinitePi (fun _ : TreeVertex d => ν))) (μ.prod (Measure.infinitePi (fun _ : TreeVertex d => ν))) := PlantedStationarity.measurePreserving_planted_relabel hμ ν g lemma integrable_spin_coordinate (P : Measure ((TreeVertex d → IsingSpin) × (TreeVertex d → A))) [IsFiniteMeasure P] (v : TreeVertex d) : Integrable (fun q => spinSign (q.1 v)) P := by have hm : Measurable spinSign := by intro s hs; trivial apply Integrable.of_bound (hm.comp ((measurable_pi_apply v).comp measurable_fst)).aestronglyMeasurable 1 apply Filter.Eventually.of_forall intro q cases hs : q.1 v <;> norm_num [spinSign, hs] def posterior (P : Measure ((TreeVertex d → IsingSpin) × (TreeVertex d → A))) (B : ℝ≥0 → A → ℝ) (hmB : ∀ t, Measurable (B t)) (t : ℝ≥0) (v : TreeVertex d) : ((TreeVertex d → IsingSpin) × (TreeVertex d → A)) → ℝ := P[fun q => spinSign (q.1 v) | filtration B hmB t] lemma measurable_posterior (P : Measure ((TreeVertex d → IsingSpin) × (TreeVertex d → A))) (B : ℝ≥0 → A → ℝ) (hmB : ∀ t, Measurable (B t)) (t : ℝ≥0) (v : TreeVertex d) : Measurable (posterior P B hmB t v) := stronglyMeasurable_condExp.measurable.mono (filtration B hmB |>.le t) le_rfl theorem posterior_relabel_ae {theta : ℝ} {μ : Measure (TreeVertex d → IsingSpin)} (hμ : HasFreeIsingLaw theta μ) (ν : Measure A) [IsProbabilityMeasure ν] (B : ℝ≥0 → A → ℝ) (hmB : ∀ t, Measurable (B t)) (g : TreeAut d) (t : ℝ≥0) (v : TreeVertex d) : posterior (μ.prod (Measure.infinitePi (fun _ : TreeVertex d => ν))) B hmB t v ∘ plantedRelabel g =ᵐ[μ.prod (Measure.infinitePi (fun _ : TreeVertex d => ν))] posterior (μ.prod (Measure.infinitePi (fun _ : TreeVertex d => ν))) B hmB t (g.toEquiv.symm v) := by let := hμ.isProbabilityMeasure exact condExp_comp_measurePreserving_equiv (filtration B hmB |>.le t) (plantedRelabel g) (measurePreserving_plantedRelabel hμ ν g) (measurable_plantedRelabel_filtration B hmB g t) (measurable_plantedRelabel_symm_filtration B hmB g t) (integrable_spin_coordinate _ v) theorem posterior_version_relabel_ae {theta : ℝ} {μ : Measure (TreeVertex d → IsingSpin)} (hμ : HasFreeIsingLaw theta μ) (ν : Measure A) [IsProbabilityMeasure ν] (B : ℝ≥0 → A → ℝ) (hmB : ∀ t, Measurable (B t)) {m : ℝ≥0 → TreeVertex d → ((TreeVertex d → IsingSpin) × (TreeVertex d → A)) → ℝ} (hversion : ∀ t v, m t v =ᵐ[μ.prod (Measure.infinitePi (fun _ : TreeVertex d => ν))] posterior (μ.prod (Measure.infinitePi (fun _ : TreeVertex d => ν))) B hmB t v) (g : TreeAut d) (t : ℝ≥0) (v : TreeVertex d) : m t v ∘ plantedRelabel g =ᵐ[μ.prod (Measure.infinitePi (fun _ : TreeVertex d => ν))] m t (g.toEquiv.symm v) := by exact ((measurePreserving_plantedRelabel hμ ν g).quasiMeasurePreserving.ae_eq_comp (hversion t v)).trans ((posterior_relabel_ae hμ ν B hmB g t v).trans (hversion t (g.toEquiv.symm v)).symm) theorem posterior_version_array_relabel_ae {theta : ℝ} {μ : Measure (TreeVertex d → IsingSpin)} (hμ : HasFreeIsingLaw theta μ) (ν : Measure A) [IsProbabilityMeasure ν] (B : ℝ≥0 → A → ℝ) (hmB : ∀ t, Measurable (B t)) {m : ℝ≥0 → TreeVertex d → ((TreeVertex d → IsingSpin) × (TreeVertex d → A)) → ℝ} (hversion : ∀ t v, m t v =ᵐ[μ.prod (Measure.infinitePi (fun _ : TreeVertex d => ν))] posterior (μ.prod (Measure.infinitePi (fun _ : TreeVertex d => ν))) B hmB t v) (g : TreeAut d) (t : ℝ≥0) : (fun q v => m t v (plantedRelabel g q)) =ᵐ[μ.prod (Measure.infinitePi (fun _ : TreeVertex d => ν))] (fun q => relabel g (fun v => m t v q)) := by filter_upwards [ae_all_iff.mpr (fun v => posterior_version_relabel_ae hμ ν B hmB hversion g t v)] with q hq exact funext hq theorem posterior_primitive_relabel_ae {theta : ℝ} {μ : Measure (TreeVertex d → IsingSpin)} (hμ : HasFreeIsingLaw theta μ) (ν : Measure A) [IsProbabilityMeasure ν] (B : ℝ≥0 → A → ℝ) (hmB : ∀ t, Measurable (B t)) {m : ℝ≥0 → TreeVertex d → ((TreeVertex d → IsingSpin) × (TreeVertex d → A)) → ℝ} (hm : ∀ v, Measurable (fun p : ℝ≥0 × ((TreeVertex d → IsingSpin) × (TreeVertex d → A)) => m p.1 v p.2)) (hversion : ∀ t v, m t v =ᵐ[μ.prod (Measure.infinitePi (fun _ : TreeVertex d => ν))] posterior (μ.prod (Measure.infinitePi (fun _ : TreeVertex d => ν))) B hmB t v) (g : TreeAut d) : ∀ᵐ q ∂μ.prod (Measure.infinitePi (fun _ : TreeVertex d => ν)), ∀ v t, nnrealTimePrimitive (fun u => m u v) t (plantedRelabel g q) = nnrealTimePrimitive (fun u => m u (g.toEquiv.symm v)) t q := by let := hμ.isProbabilityMeasure apply ae_all_iff.mpr intro v have hleft : Measurable (fun p : ℝ≥0 × ((TreeVertex d → IsingSpin) × (TreeVertex d → A)) => m p.1 v (plantedRelabel g p.2)) := (hm v).comp (measurable_fst.prodMk ((plantedRelabel g).measurable.comp measurable_snd)) exact ae_all_nnrealTimePrimitive_eq_of_version _ hleft (hm (g.toEquiv.symm v)) (fun t => posterior_version_relabel_ae hμ ν B hmB hversion g t v) theorem innovation_array_relabel_ae {theta : ℝ} {μ : Measure (TreeVertex d → IsingSpin)} (hμ : HasFreeIsingLaw theta μ) (ν : Measure A) [IsProbabilityMeasure ν] (B : ℝ≥0 → A → ℝ) (hmB : ∀ t, Measurable (B t)) {m : ℝ≥0 → TreeVertex d → ((TreeVertex d → IsingSpin) × (TreeVertex d → A)) → ℝ} (hm : ∀ v, Measurable (fun p : ℝ≥0 × ((TreeVertex d → IsingSpin) × (TreeVertex d → A)) => m p.1 v p.2)) (hversion : ∀ t v, m t v =ᵐ[μ.prod (Measure.infinitePi (fun _ : TreeVertex d => ν))] posterior (μ.prod (Measure.infinitePi (fun _ : TreeVertex d => ν))) B hmB t v) (g : TreeAut d) : ∀ᵐ q ∂μ.prod (Measure.infinitePi (fun _ : TreeVertex d => ν)), (fun v t => plantedArrayObservation (fun _ : TreeVertex d => B) spinArray v t (plantedRelabel g q) - nnrealTimePrimitive (fun u => m u v) t (plantedRelabel g q)) = relabel g (fun v t => plantedArrayObservation (fun _ : TreeVertex d => B) spinArray v t q - nnrealTimePrimitive (fun u => m u v) t q) := by filter_upwards [posterior_primitive_relabel_ae hμ ν B hmB hm hversion g] with q hq funext v t rw [hq v t] rfl end ArrayPosteriorStationarity end Problem367 end end OAI