import OAI.Probability.IsingPerceptron.NormalizedRestrictionPi namespace OAI /-! Leaf exhaustion for bounded replica observables of an arbitrary integrable Gibbs Hamiltonian. No Gaussian insertion remains in the Ward terms to which this lemma will be applied. -/ noncomputable section open MeasureTheory ProbabilityTheory IsingPerceptron Filter Set open scoped BigOperators Topology namespace InvariantIsing lemma normalizedRestriction_prod {X Y : Type*} [MeasurableSpace X] [MeasurableSpace Y] (μ : Measure X) (ν : Measure Y) [IsProbabilityMeasure μ] [IsProbabilityMeasure ν] (S : Set X) (T : Set Y) : (normalizedRestriction μ S).prod (normalizedRestriction ν T) = normalizedRestriction (μ.prod ν) (S ×ˢ T) := by unfold normalizedRestriction rw [Measure.prod_smul_left, Measure.prod_smul_right, smul_smul, Measure.prod_restrict, Measure.prod_prod, ENNReal.mul_inv] · exact Or.inr (measure_ne_top ν T) · exact Or.inl (measure_ne_top μ S) lemma referenceReplicaMean_restriction_tendsto {X : Type*} [MeasurableSpace X] [Countable X] [MeasurableSingletonClass X] (ν : Measure X) [IsProbabilityMeasure ν] (H : X → ℝ) (hH : Integrable (fun x => Real.exp (H x)) ν) {r : ℕ} (D : (Fin r → X) → ℝ) {B : ℝ} (hD : ∀ σ, |D σ| ≤ B) {S : ℕ → Set X} (hS : ∀ n, MeasurableSet (S n)) (hexh : ∀ x, ∀ᶠ n in atTop, x ∈ S n) (hpos : ∀ n, ν (S n) ≠ 0) : Tendsto (fun n => referenceReplicaMean (normalizedRestriction ν (S n)) H D) atTop (𝓝 (referenceReplicaMean ν H D)) := by have : ∀ n, IsProbabilityMeasure (normalizedRestriction ν (S n)) := fun n => normalizedRestriction_probability (hpos n) have he : Integrable (fun σ : Fin r → X => Real.exp (∑ i, H (σ i))) (Measure.pi (fun _ : Fin r => ν)) := by simpa only [Real.exp_sum] using (Integrable.fintype_prod (fun _ : Fin r => hH)) have hi : Integrable (fun σ : Fin r → X => Real.exp (∑ i, H (σ i)) * D σ) (Measure.pi (fun _ : Fin r => ν)) := he.mul_bdd (measurable_of_countable D).aestronglyMeasurable (ae_of_all _ fun σ => by simpa only [Real.norm_eq_abs] using hD σ) have hz : (∫ σ : Fin r → X, Real.exp (∑ i, H (σ i)) ∂Measure.pi (fun _ => ν)) ≠ 0 := by rw [reference_replica_partition] exact pow_ne_zero _ (integral_exp_pos hH).ne' have ht := normalized_restriction_gibbs_tendsto (fun n => MeasurableSet.univ_pi (fun _ : Fin r => hS n)) (replica_restriction_eventually hexh) he hi hz simpa only [referenceReplicaMean_eq_ratio, ← normalizedRestriction_pi (fun _ : Fin r => S _) (fun _ => hpos _)] using ht theorem expected_referenceReplicaMean_restriction_tendsto {Ω X : Type*} [MeasurableSpace Ω] [MeasurableSpace X] [Countable X] [MeasurableSingletonClass X] (P : Measure Ω) [IsProbabilityMeasure P] (ν : Measure X) [IsProbabilityMeasure ν] (H : Ω × X → ℝ) (hH : Measurable H) (he : ∀ᵐ ω ∂P, Integrable (fun x => Real.exp (H (ω,x))) ν) {r : ℕ} (D : Ω × (Fin r → X) → ℝ) (hD : Measurable D) {B : ℝ} (hB : 0 ≤ B) (hbound : ∀ z, |D z| ≤ B) {S : ℕ → Set X} (hS : ∀ n, MeasurableSet (S n)) (hexh : ∀ x, ∀ᶠ n in atTop, x ∈ S n) (hpos : ∀ n, ν (S n) ≠ 0) : Tendsto (fun n => ∫ ω, referenceReplicaMean (normalizedRestriction ν (S n)) (fun x => H (ω,x)) (fun σ => D (ω,σ)) ∂P) atTop (𝓝 (∫ ω, referenceReplicaMean ν (fun x => H (ω,x)) (fun σ => D (ω,σ)) ∂P)) := by have : ∀ n, IsProbabilityMeasure (normalizedRestriction ν (S n)) := fun n => normalizedRestriction_probability (hpos n) apply tendsto_integral_of_dominated_convergence (fun _ => B) · intro n exact (measurable_random_referenceReplicaMean (ν := fun _ : Ω => normalizedRestriction ν (S n)) measurable_const hH hD).aestronglyMeasurable · exact integrable_const _ · intro n exact ae_of_all _ fun ω => by rw [Real.norm_eq_abs] exact referenceReplicaMean_abs_le _ _ _ (hD.comp (measurable_const.prodMk measurable_id)) hB (fun σ => hbound (ω,σ)) · filter_upwards [he] with ω hω exact referenceReplicaMean_restriction_tendsto ν (fun x => H (ω,x)) hω (fun σ => D (ω,σ)) (fun σ => hbound (ω,σ)) hS hexh hpos end InvariantIsing end end OAI