import OAI.Probability.FreeIsing.Conditioning.ComponentInformationUpper import OAI.Probability.FreeIsing.Conditioning.FiniteObservationInformation import OAI.Probability.FreeIsing.Conditioning.NoisyBranchConditionalLaw import OAI.Probability.FreeIsing.Critical.Information import OAI.Probability.FreeIsing.Estimates.ThresholdArithmetic import OAI.Probability.FreeIsing.Posterior.ComponentObservationDecomposition import OAI.Probability.FreeIsing.Posterior.ComponentObservationIndependence import OAI.Probability.FreeIsing.Posterior.ComponentObservationRegression namespace OAI noncomputable section open MeasureTheory ProbabilityTheory open scoped NNReal BigOperators namespace Problem367 theorem HasFreeIsingLaw.selected_child_parent_abs_le {d : ℕ} {theta : ℝ} {A B : Type*} [MeasurableSpace A] [StandardBorelSpace A] [MeasurableSpace B] [StandardBorelSpace B] [Nonempty B] {μ : Measure (TreeVertex d → IsingSpin)} (hμ : HasFreeIsingLaw theta μ) (h0 : 0 ≤ theta) (h1 : theta ≤ 1) (ν : Measure A) [IsProbabilityMeasure ν] {F : IsingSpin → A → B} (hF : Measurable (Function.uncurry F)) (c a : Fin d) : ∀ᵐ z ∂μ.prod (Measure.infinitePi (fun _ : TreeVertex d => ν)), |selectedPosterior (μ.prod (Measure.infinitePi (fun _ : TreeVertex d => ν))) F (childComponentIndexVertex c a) (RootedBroadcast.branchRoot c) z| ≤ theta := by filter_upwards [hμ.selectedPosterior_parent_childComponent (by linarith) h1 ν hF c a, selectedPosterior_abs_le_one (μ.prod (Measure.infinitePi (fun _ : TreeVertex d => ν))) F (childComponentIndexVertex c a) (prefixFlip c (RootedBroadcast.branchRoot a))] with z hz hb rw [hz, abs_mul, abs_of_nonneg h0] simpa only [mul_one] using mul_le_mul_of_nonneg_left hb h0 theorem HasFreeIsingLaw.selected_child_parent_secondMoment {d : ℕ} {theta : ℝ} {A B : Type*} [MeasurableSpace A] [StandardBorelSpace A] [MeasurableSpace B] [StandardBorelSpace B] [Nonempty B] {μ : Measure (TreeVertex d → IsingSpin)} (hμ : HasFreeIsingLaw theta μ) (h0 : -1 ≤ theta) (h1 : theta ≤ 1) (ν : Measure A) [IsProbabilityMeasure ν] {F : IsingSpin → A → B} (hF : Measurable (Function.uncurry F)) (c a : Fin d) : (∫ z, (selectedPosterior (μ.prod (Measure.infinitePi (fun _ : TreeVertex d => ν))) F (childComponentIndexVertex c a) (RootedBroadcast.branchRoot c) z) ^ 2 ∂μ.prod (Measure.infinitePi (fun _ : TreeVertex d => ν))) = theta ^ 2 * ∫ z, (selectedPosterior (μ.prod (Measure.infinitePi (fun _ : TreeVertex d => ν))) F (componentIndexVertex (c := c)) (RootedBroadcast.branchRoot c) z) ^ 2 ∂μ.prod (Measure.infinitePi (fun _ : TreeVertex d => ν)) := by have h := hμ.selectedPosterior_parent_childComponent h0 h1 ν hF c a have heq := integral_congr_ae (h.fun_comp (fun x : ℝ => x ^ 2)) simp only [Function.comp_apply] at heq rw [heq] simp only [mul_pow] rw [integral_const_mul] congr 1 exact ((childComponentPosterior_identDistrib hμ ν hF c a).comp (show Measurable (fun x : ℝ => x ^ 2) by fun_prop)).integral_eq def gaussianComponentInformation {d : ℕ} (μ : Measure (TreeVertex d → IsingSpin)) (t : ℝ≥0) (c : Fin d) : ℝ := ∫ z, (selectedPosterior (μ.prod (PlantedSymmetry.gaussianNoiseLaw (TreeVertex d) t)) (fun s x => (t : ℝ) * spinSign s + x) (componentIndexVertex (c := c)) (RootedBroadcast.branchRoot c) z) ^ 2 ∂μ.prod (PlantedSymmetry.gaussianNoiseLaw (TreeVertex d) t) theorem HasFreeIsingLaw.gaussian_component_information_fusion {d : ℕ} (hd : 3 ≤ d) {beta : ℝ} {μ : Measure (TreeVertex d → IsingSpin)} (hμ : HasFreeIsingLaw (Real.tanh beta) μ) (hb : 0 ≤ beta) (t : ℝ≥0) (c : Fin d) : gaussianComponentInformation μ t c ≤ ((d - 1 : ℕ) : ℝ) * (Real.tanh beta) ^ 2 * gaussianComponentInformation μ t c - 2 * (1 - (Real.tanh beta) ^ 2) * (Real.tanh beta) ^ 4 * (gaussianComponentInformation μ t c) ^ 2 + ((t : ℝ) + (t : ℝ) ^ 2) := by classical let : IsProbabilityMeasure μ := hμ.isProbabilityMeasure let ρ := μ.prod (PlantedSymmetry.gaussianNoiseLaw (TreeVertex d) t) let F : IsingSpin → ℝ → ℝ := fun s x => (t : ℝ) * spinSign s + x let r := RootedBroadcast.branchRoot c let I := {a : Fin d // c ≠ a} let X (a : I) (z : (TreeVertex d → IsingSpin) × (TreeVertex d → ℝ)) := fun u : ComponentIndex a.1 => F (z.1 (childComponentIndexVertex c a.1 u)) (z.2 (childComponentIndexVertex c a.1 u)) let Y (z : (TreeVertex d → IsingSpin) × (TreeVertex d → ℝ)) := fun _ : Unit => F (z.1 r) (z.2 r) let S (z : (TreeVertex d → IsingSpin) × (TreeVertex d → ℝ)) := z.1 r have hF : Measurable (Function.uncurry F) := ((PlantedInformation.measurable_spinSign.comp measurable_fst).const_mul _).add measurable_snd have hS : Measurable S := (measurable_pi_apply r).comp measurable_fst have hX (a : I) : Measurable (X a) := by apply Measurable.of_eval intro u exact hF.comp (show Measurable (fun z : (TreeVertex d → IsingSpin) × (TreeVertex d → ℝ) => (z.1 (childComponentIndexVertex c a.1 u), z.2 (childComponentIndexVertex c a.1 u))) by fun_prop) have hY : Measurable Y := by apply Measurable.of_eval intro u exact hF.comp (show Measurable (fun z : (TreeVertex d → IsingSpin) × (TreeVertex d → ℝ) => (z.1 r, z.2 r)) by fun_prop) have hθ0 := tanh_nonneg_of_beta_nonneg hb have hθ1 := Real.tanh_lt_one beta have hθlo : -1 ≤ Real.tanh beta := by linarith have hCI : iCondIndepFun (MeasurableSpace.comap S inferInstance) hS.comap_le X ρ := hμ.iCondIndepFun_forward_child_observations hθlo hθ1.le (gaussianReal 0 t) hF c have hOwn : CondIndepFun (MeasurableSpace.comap S inferInstance) hS.comap_le Y (fun z a => X a z) ρ := (hμ.condIndepFun_own_forward_child_observations hθlo hθ1.le (gaussianReal 0 t) hF c).comp (show Measurable (fun x : ℝ => fun _ : Unit => x) by fun_prop) measurable_id have hfair (s : IsingSpin) : ρ {z | S z = s} = (1 / 2 : ENNReal) := hμ.planted_spin_event_mass (fun _ => gaussianReal 0 t) r s have hbound (a : I) : ∀ᵐ z ∂ρ, |ρ[fun z => spinSign (S z) | MeasurableSpace.comap (X a) inferInstance] z| ≤ Real.tanh beta := hμ.selected_child_parent_abs_le hθ0 hθ1.le (gaussianReal 0 t) hF c a.1 have hstrict (a : I) : ∀ᵐ z ∂ρ, |ρ[fun z => spinSign (S z) | MeasurableSpace.comap (X a) inferInstance] z| < 1 := (hbound a).mono (fun _ hz => hz.trans_lt hθ1) have hsym (a : I) : (ρ.map (ρ[fun z => spinSign (S z) | MeasurableSpace.comap (X a) inferInstance])).map (fun x : ℝ => -x) = ρ.map (ρ[fun z => spinSign (S z) | MeasurableSpace.comap (X a) inferInstance]) := hμ.selected_gaussian_posteriorLaw_neg_invariant t t (childComponentIndexVertex c a.1) r have hOwnStrict : ∀ᵐ z ∂ρ, |ρ[fun z => spinSign (S z) | MeasurableSpace.comap Y inferInstance] z| < 1 := by filter_upwards [hμ.selected_singleton_gaussian_posterior hb t r] with z hz change |selectedPosterior ρ F (fun _ : Unit => r) r z| < 1 rw [hz] exact Real.abs_tanh_lt_one _ have hOwnSym : (ρ.map (ρ[fun z => spinSign (S z) | MeasurableSpace.comap Y inferInstance])).map (fun x : ℝ => -x) = ρ.map (ρ[fun z => spinSign (S z) | MeasurableSpace.comap Y inferInstance]) := hμ.selected_gaussian_posteriorLaw_neg_invariant t t (fun _ : Unit => r) r have hcard : Fintype.card I = d - 1 := by dsimp [I] simp [Fintype.card_subtype_compl] obtain ⟨a, b, hab⟩ := Fintype.exists_pair_of_one_lt_card (show 1 < Fintype.card I by rw [hcard]; omega) have hfamily := condExp_own_and_finite_observation_secondMoment_le_sum_sub_loss hS hX hCI hfair hstrict hsym hY hOwn hOwnStrict hOwnSym hab (hbound a) (hbound b) hθ1 have hfield : MeasurableSpace.comap (fun z => (Y z, fun a => X a z)) inferInstance = selectedObservationField F (componentIndexVertex (c := c)) := by simpa only [Y, X, r, RootedBroadcast.branchRoot, selectedObservationField, Prod.instMeasurableSpace, MeasurableSpace.comap_prodMk, MeasurableSpace.comap_process_pi, iSup_const] using (componentObservationField_eq_own_sup_children F c).symm rw [hfield] at hfamily have hchild (a : I) : (∫ z, (ρ[fun z => spinSign (S z) | MeasurableSpace.comap (X a) inferInstance] z) ^ 2 ∂ρ) = (Real.tanh beta) ^ 2 * gaussianComponentInformation μ t c := hμ.selected_child_parent_secondMoment hθlo hθ1.le (gaussianReal 0 t) hF c a.1 simp_rw [hchild] at hfamily rw [Finset.sum_const, Finset.card_univ, hcard, nsmul_eq_mul] at hfamily have hown := hμ.selected_singleton_information_le hb t r change (∫ z, (ρ[fun z => spinSign (S z) | MeasurableSpace.comap Y inferInstance] z) ^ 2 ∂ρ) ≤ (t : ℝ) + (t : ℝ) ^ 2 at hown change gaussianComponentInformation μ t c ≤ _ at hfamily nlinarith [hfamily, hown] theorem HasFreeIsingLaw.gaussian_component_critical_information_upper {d : ℕ} (hd : 3 ≤ d) {beta : ℝ} {μ : Measure (TreeVertex d → IsingSpin)} (hμ : HasFreeIsingLaw (Real.tanh beta) μ) (hb : 0 ≤ beta) (hcritical : ((d - 1 : ℕ) : ℝ) * (Real.tanh beta) ^ 2 = 1) (t : ℝ≥0) (ht : (t : ℝ) ≤ 1) (c : Fin d) : gaussianComponentInformation μ t c ≤ Real.sqrt (1 / ((1 - (Real.tanh beta) ^ 2) * (Real.tanh beta) ^ 4)) * Real.sqrt (t : ℝ) := by have hθ0 := tanh_nonneg_of_beta_nonneg hb have hθpos : 0 < Real.tanh beta := by by_contra h have hz : Real.tanh beta = 0 := le_antisymm (le_of_not_gt h) hθ0 simp [hz] at hcritical exact critical_information_upper_of_fusion hθpos (Real.tanh_lt_one beta) hcritical t.coe_nonneg ht (hμ.gaussian_component_information_fusion hd hb t c) end Problem367 end end OAI