import OAI.Probability.InvariantIsing.Arrays.CountableWardFunctional namespace OAI /-! Uniform fixed-prior Ward bounds survive a measurable mixture of countable reference measures. -/ noncomputable section open MeasureTheory IsingPerceptron namespace InvariantIsing lemma measurable_mixtureReplicaMean {T Ω X : Type*} [MeasurableSpace T] [MeasurableSpace Ω] [MeasurableSpace X] [Countable X] [MeasurableSingletonClass X] (ν : T → Measure X) [∀ t, IsProbabilityMeasure (ν t)] (hν : Measurable ν) (H : Ω × X → ℝ) (hH : Measurable H) {r : ℕ} (D : Ω × (Fin r → X) → ℝ) (hD : Measurable D) : Measurable (fun p : T × Ω => referenceReplicaMean (ν p.1) (fun x => H (p.2,x)) (fun σ => D (p.2,σ))) := by have : ∀ p : T × Ω, IsProbabilityMeasure ((ν ∘ Prod.fst) p) := fun p => by change IsProbabilityMeasure (ν p.1) infer_instance exact measurable_random_referenceReplicaMean (hν.comp measurable_fst) (hH.comp (measurable_fst.snd.prodMk measurable_snd)) (hD.comp (measurable_fst.snd.prodMk measurable_snd)) lemma measurable_integral_mixtureReplicaMean {T Ω X : Type*} [MeasurableSpace T] [MeasurableSpace Ω] [MeasurableSpace X] [Countable X] [MeasurableSingletonClass X] (P : Measure Ω) [SFinite P] (ν : T → Measure X) [∀ t, IsProbabilityMeasure (ν t)] (hν : Measurable ν) (H : Ω × X → ℝ) (hH : Measurable H) {r : ℕ} (D : Ω × (Fin r → X) → ℝ) (hD : Measurable D) : Measurable (fun t => ∫ ω, referenceReplicaMean (ν t) (fun x => H (ω,x)) (fun σ => D (ω,σ)) ∂P) := (measurable_mixtureReplicaMean ν hν H hH D hD).stronglyMeasurable.integral_prod_right'.measurable lemma integrable_mixtureReplicaMean {T Ω X : Type*} [MeasurableSpace T] [MeasurableSpace Ω] [MeasurableSpace X] [Countable X] [MeasurableSingletonClass X] (ξ : Measure T) [IsProbabilityMeasure ξ] (P : Measure Ω) [IsProbabilityMeasure P] (ν : T → Measure X) [∀ t, IsProbabilityMeasure (ν t)] (hν : Measurable ν) (H : Ω × X → ℝ) (hH : Measurable H) {r : ℕ} (D : Ω × (Fin r → X) → ℝ) (hD : Measurable D) {B : ℝ} (hB : 0 ≤ B) (hb : ∀ z, |D z| ≤ B) : Integrable (fun t => ∫ ω, referenceReplicaMean (ν t) (fun x => H (ω,x)) (fun σ => D (ω,σ)) ∂P) ξ := by have hm := measurable_integral_mixtureReplicaMean P ν hν H hH D hD apply integrable_of_measurable_abs_le (c := B) hm intro t apply abs_integral_le_const_of_bound (c := B) ((measurable_mixtureReplicaMean ν hν H hH D hD).comp (measurable_const.prodMk measurable_id)) intro ω change |referenceReplicaMean (ν t) (fun x => H (ω,x)) (fun σ => D (ω,σ))| ≤ B exact referenceReplicaMean_abs_le (ν t) _ _ (measurable_of_countable _) hB (fun σ => hb (ω,σ)) theorem expectedReplicaWard_mixture_abs_le {T Ω X : Type*} [MeasurableSpace T] [MeasurableSpace Ω] [MeasurableSpace X] [Countable X] [MeasurableSingletonClass X] (ξ : Measure T) [IsProbabilityMeasure ξ] (P : Measure Ω) [IsProbabilityMeasure P] (ν : T → Measure X) [∀ t, IsProbabilityMeasure (ν t)] (hν : Measurable ν) (H : Ω × X → ℝ) (hH : Measurable H) (D₂ : Ω × (Fin 2 → X) → ℝ) (hD₂ : Measurable D₂) (D₃ : Ω × (Fin 3 → X) → ℝ) (hD₃ : Measurable D₃) {B₂ B₃ : ℝ} (hB₂ : 0 ≤ B₂) (hB₃ : 0 ≤ B₃) (hb₂ : ∀ z, |D₂ z| ≤ B₂) (hb₃ : ∀ z, |D₃ z| ≤ B₃) {ε : ℝ} (hward : ∀ t, |expectedReplicaWard P (ν t) H D₂ D₃| ≤ ε) : |(∫ t, (∫ ω, referenceReplicaMean (ν t) (fun x => H (ω,x)) (fun σ => D₂ (ω,σ)) ∂P) ∂ ξ) - 2 * (∫ t, (∫ ω, referenceReplicaMean (ν t) (fun x => H (ω,x)) (fun σ => D₃ (ω,σ)) ∂P) ∂ ξ)| ≤ ε := by have hi₂ := integrable_mixtureReplicaMean ξ P ν hν H hH D₂ hD₂ hB₂ hb₂ have hi₃ := integrable_mixtureReplicaMean ξ P ν hν H hH D₃ hD₃ hB₃ hb₃ rw [← integral_const_mul, ← integral_sub hi₂ (hi₃.const_mul 2)] apply abs_integral_le_const_of_bound ((measurable_integral_mixtureReplicaMean P ν hν H hH D₂ hD₂).sub ((measurable_integral_mixtureReplicaMean P ν hν H hH D₃ hD₃).const_mul 2)) exact hward end InvariantIsing end end OAI