import OAI.Probability.FreeIsing.Estimates.BalancedLatentMean import OAI.Probability.FreeIsing.Trees.NoisyCutLevelIndependence namespace OAI noncomputable section open MeasureTheory ProbabilityTheory open scoped ENNReal namespace Problem367.RootedBroadcast local instance cutLevelConditionalMeanMeasurableSingletonIsingSpin : MeasurableSingletonClass IsingSpin := ⟨fun _ => trivial⟩ local instance cutLevelConditionalMeanIsProbabilityLabelMeasure (d : ℕ) : IsProbabilityMeasure (labelMeasure d) := by unfold labelMeasure infer_instance theorem cutSpins_coordinate_fair {d : ℕ} {theta : ℝ} (h0 : -1 ≤ theta) (h1 : theta ≤ 1) (n : ℕ) (c : TreeShell d n) (a : IsingSpin) : ((labelMeasure d).map (cutSpins theta n)) {s | s c = a} = (1 / 2 : ℝ≥0∞) := by rw [Measure.map_apply (measurable_cutSpins d theta n) (measurableSet_eq_fun (measurable_pi_apply c) measurable_const)] have h := (freeIsingMeasure_hasFreeIsingLaw d h0 h1).marginal c.1 a rw [freeIsingMeasure, Measure.map_apply (measurable_factor d theta) (measurableSet_eq_fun (measurable_pi_apply c.1) measurable_const)] at h change (labelMeasure d) {U | factor theta U c.1 = a} = _ change (labelMeasure d) {U | factor theta U c.1 = a} = _ at h simpa using h theorem condExp_noisy_factor_cone_le_two_integral {d : ℕ} {theta : ℝ} {A : Type*} [MeasurableSpace A] [StandardBorelSpace A] (h0 : -1 ≤ theta) (h1 : theta ≤ 1) (n : ℕ) (ν : TreeVertex d → Measure A) [∀ v, IsProbabilityMeasure (ν v)] (c : TreeShell d n) (F : (DescendantVertex c.1 → IsingSpin) × (DescendantVertex c.1 → A) → ℝ) (hF : Measurable F) (hbound : ∀ p, 0 ≤ F p ∧ F p ≤ 1) : ∀ᵐ z ∂(labelMeasure d).prod (Measure.infinitePi ν), (((labelMeasure d).prod (Measure.infinitePi ν))[ (fun z : (TreeVertex d → ℝ) × (TreeVertex d → A) => F ((fun v => factor theta z.1 v.1), fun v => z.2 v.1)) | (inferInstance : MeasurableSpace (TreeShell d n → IsingSpin)).comap (fun z => cutSpins theta n z.1)]) z ≤ 2 * ∫ w : (TreeVertex d → ℝ) × (TreeVertex d → A), F ((fun v => factor theta w.1 v.1), fun v => w.2 v.1) ∂(labelMeasure d).prod (Measure.infinitePi ν) := by let S := TreeShell d n → IsingSpin let R := (e : TreeShell d n) → (StrictDescendantVertex e.1 → ℝ) × (DescendantVertex e.1 → A) let rho := (labelMeasure d).map (cutSpins theta n) let muR := Measure.infinitePi (fun e : TreeShell d n => (Measure.infinitePi (fun _ : StrictDescendantVertex e.1 => uniform01)).prod (Measure.infinitePi (fun v : DescendantVertex e.1 => ν v.1))) let e : (TreeVertex d → ℝ) × (TreeVertex d → A) → S × R := fun z => (cutSpins theta n z.1, fun c => (cutLabels z.1 c, fun v => z.2 v.1)) have he : MeasurePreserving e ((labelMeasure d).prod (Measure.infinitePi ν)) (rho.prod muR) := ⟨((measurable_cutSpins d theta n).comp measurable_fst).prodMk (by unfold cutLabels; fun_prop), map_cutSpins_cutLabels_noises theta n ν⟩ let G : IsingSpin × R → ℝ := fun p => F (coneFactor theta c.1 (p.1, (p.2 c).1), (p.2 c).2) have hG : Measurable G := hF.comp (((measurable_coneFactor theta c.1).comp (measurable_fst.prodMk (measurable_fst.comp ((measurable_pi_apply c).comp measurable_snd)))).prodMk (measurable_snd.comp ((measurable_pi_apply c).comp measurable_snd))) have h := condExp_binary_channel_comp_le_two_integral ((labelMeasure d).prod (Measure.infinitePi ν)) rho muR e he (fun s : S => s c) (measurable_pi_apply c) (cutSpins_coordinate_fair h0 h1 n c) G hG (fun p => hbound _) have hfun : (fun z => G ((e z).1 c, (e z).2)) = (fun z : (TreeVertex d → ℝ) × (TreeVertex d → A) => F ((fun v => factor theta z.1 v.1), fun v => z.2 v.1)) := by funext z apply congrArg F apply Prod.ext · exact (factor_cone_representation theta c.1 z.1).symm · rfl rw [hfun] at h exact h end Problem367.RootedBroadcast namespace Problem367 local instance cutLevelConditionalMeanFreeIsingMeasurableSingletonIsingSpin : MeasurableSingletonClass IsingSpin := ⟨fun _ => trivial⟩ theorem freeIsingMeasure_condExp_cutLevel_observable_le_two_integral {d : ℕ} {theta : ℝ} {A : Type*} [MeasurableSpace A] [StandardBorelSpace A] (h0 : -1 ≤ theta) (h1 : theta ≤ 1) (n : ℕ) (ν : TreeVertex d → Measure A) [∀ v, IsProbabilityMeasure (ν v)] (c : TreeShell d n) (F : (RootedBroadcast.DescendantVertex c.1 → IsingSpin) × (RootedBroadcast.DescendantVertex c.1 → A) → ℝ) (hF : Measurable F) (hbound : ∀ p, 0 ≤ F p ∧ F p ≤ 1) : ∀ᵐ z ∂(freeIsingMeasure d theta).prod (Measure.infinitePi ν), (((freeIsingMeasure d theta).prod (Measure.infinitePi ν))[ (fun z : (TreeVertex d → IsingSpin) × (TreeVertex d → A) => F ((fun v => z.1 v.1), fun v => z.2 v.1)) | (inferInstance : MeasurableSpace (TreeShell d n → IsingSpin)).comap (fun z => fun e : TreeShell d n => z.1 e.1)]) z ≤ 2 * ∫ w : (TreeVertex d → IsingSpin) × (TreeVertex d → A), F ((fun v => w.1 v.1), fun v => w.2 v.1) ∂(freeIsingMeasure d theta).prod (Measure.infinitePi ν) := by let : IsProbabilityMeasure (labelMeasure d) := by unfold labelMeasure infer_instance let P := (freeIsingMeasure d theta).prod (Measure.infinitePi ν) let Q := (labelMeasure d).prod (Measure.infinitePi ν) let e : (TreeVertex d → ℝ) × (TreeVertex d → A) → (TreeVertex d → IsingSpin) × (TreeVertex d → A) := Prod.map (RootedBroadcast.factor theta) id let H : (TreeVertex d → IsingSpin) × (TreeVertex d → A) → ℝ := fun z => F ((fun v => z.1 v.1), fun v => z.2 v.1) let S : (TreeVertex d → IsingSpin) × (TreeVertex d → A) → TreeShell d n → IsingSpin := fun z c => z.1 c.1 have hS : Measurable S := by fun_prop have hH : Measurable H := hF.comp (by fun_prop) have hInt : Integrable H P := by apply Integrable.of_bound hH.aestronglyMeasurable 1 exact Filter.Eventually.of_forall (fun z => by rw [Real.norm_eq_abs, abs_of_nonneg (hbound _).1] exact (hbound _).2) have hf : MeasurePreserving (RootedBroadcast.factor theta) (labelMeasure d) (freeIsingMeasure d theta) := ⟨RootedBroadcast.measurable_factor d theta, rfl⟩ have he : MeasurePreserving e Q P := hf.prod (MeasurePreserving.id (Measure.infinitePi ν)) have hpull := condExp_comp_measurePreserving Q P e he ((inferInstance : MeasurableSpace (TreeShell d n → IsingSpin)).comap S) hS.comap_le hInt have hMean : (∫ x, H (e x) ∂Q) = ∫ z, H z ∂P := by rw [← he.map_eq] exact (integral_map he.measurable.aemeasurable hH.aestronglyMeasurable).symm have hsource := RootedBroadcast.condExp_noisy_factor_cone_le_two_integral h0 h1 n ν c F hF hbound change ∀ᵐ z ∂P, (P[H | MeasurableSpace.comap S inferInstance]) z ≤ 2 * ∫ w, H w ∂P have hgoal : ∀ᵐ z ∂Q.map e, (P[H | MeasurableSpace.comap S inferInstance]) z ≤ 2 * ∫ w, H w ∂P := by apply (ae_map_iff he.measurable.aemeasurable (measurableSet_le (stronglyMeasurable_condExp.mono hS.comap_le).measurable measurable_const)).mpr filter_upwards [hpull, hsource] with z hz hzbound have hmeanbound : (Q[H ∘ e | (MeasurableSpace.comap S inferInstance).comap e]) z ≤ 2 * ∫ x, H (e x) ∂Q := by simp only [MeasurableSpace.comap_comp, Function.comp_def, S, H, e, Prod.map_fst, Prod.map_snd, id_eq] exact hzbound rw [hz, hMean] at hmeanbound exact hmeanbound simpa only [he.map_eq] using hgoal theorem HasFreeIsingLaw.condExp_cutLevel_observable_le_two_integral {d : ℕ} {theta : ℝ} {A : Type*} [MeasurableSpace A] [StandardBorelSpace A] {μ : Measure (TreeVertex d → IsingSpin)} [IsFiniteMeasure μ] (hμ : HasFreeIsingLaw theta μ) (h0 : -1 ≤ theta) (h1 : theta ≤ 1) (n : ℕ) (ν : TreeVertex d → Measure A) [∀ v, IsProbabilityMeasure (ν v)] (c : TreeShell d n) (F : (RootedBroadcast.DescendantVertex c.1 → IsingSpin) × (RootedBroadcast.DescendantVertex c.1 → A) → ℝ) (hF : Measurable F) (hbound : ∀ p, 0 ≤ F p ∧ F p ≤ 1) : ∀ᵐ z ∂μ.prod (Measure.infinitePi ν), ((μ.prod (Measure.infinitePi ν))[ (fun z : (TreeVertex d → IsingSpin) × (TreeVertex d → A) => F ((fun v => z.1 v.1), fun v => z.2 v.1)) | (inferInstance : MeasurableSpace (TreeShell d n → IsingSpin)).comap (fun z => fun e : TreeShell d n => z.1 e.1)]) z ≤ 2 * ∫ w : (TreeVertex d → IsingSpin) × (TreeVertex d → A), F ((fun v => w.1 v.1), fun v => w.2 v.1) ∂μ.prod (Measure.infinitePi ν) := by have heq := hμ.eq_freeIsingMeasure h0 h1 subst μ exact freeIsingMeasure_condExp_cutLevel_observable_le_two_integral h0 h1 n ν c F hF hbound end Problem367 end end OAI