OAI/Probability/InvariantIsing/Pressure/RandomCoefficientIBP.lean
8 declarations, 0 contain sorry, 0 declared as axioms
Gaussian insertion when the finite coefficient vectors depend on external disorder. This permits the Haar-dependent spectral-overlap tensor features. The Gaussian coordinates remain independent of the external disorder.
- lemma
OAI.InvariantIsing.measurable_randomCoefficient_meanline 23 - lemma
OAI.InvariantIsing.integrable_randomCoefficient_meanline 34 - lemma
OAI.InvariantIsing.measurable_randomCoefficient_insertionline 45 - lemma
OAI.InvariantIsing.integrable_randomCoefficient_insertionline 60 - theorem
OAI.InvariantIsing.joint_randomCoefficient_cylinder_insertionline 83Source documentation
The countable Gaussian insertion identity with external-disorder-dependent coefficients and replica tests. The uniform second-moment estimate justifies Fubini for the countable cylinder law.
theorem joint_randomCoefficient_cylinder_insertion (hν : Measurable ν) (A B : Ω → X → ℕ →₀ ℝ) (hA : Measurable (fun p : (Ω × (ℕ → ℝ)) × X => cylinderField (A p.1.1 p.2) p.1.2)) (hB : Measurable (fun p : (Ω × (ℕ → ℝ)) × X => cylinderField (B p.1.1 p.2) p.1.2)) (hcross : Measurable (fun p : Ω × (X × X) => cylinderCross (B p.1 p.2.1) (A p.1 p.2.2))) {K L : ℝ} (ha : ∀ ω x, (A ω x).sum (fun _ c => c ^ 2) ≤ K) (hb : ∀ ω x, (B ω x).sum (fun _ c => c ^ 2) ≤ L) {r : ℕ} (D : Ω → (Fin (r + 1) → X) → ℝ) (hDm : Measurable (Function.uncurry D)) {c : ℝ} (hc : 0 ≤ c) (hD : ∀ ω σ, |D ω σ| ≤ c) : (∫ z : Ω × (ℕ → ℝ), referenceReplicaMean (ν z.1) (fun x => cylinderField (A z.1 x) z.2) … - lemma
OAI.InvariantIsing.randomCoefficient_all_exp_aeline 170Source documentation
All exponential tilts are integrable for almost every joint disorder. Only integer tilts are intersected before extending to every real parameter.
lemma randomCoefficient_all_exp_ae (hν : Measurable ν) (A : Ω → X → ℕ →₀ ℝ) (hA : Measurable (fun p : (Ω × (ℕ → ℝ)) × X => cylinderField (A p.1.1 p.2) p.1.2)) {K : ℝ} (ha : ∀ ω x, (A ω x).sum (fun _ c => c ^ 2) ≤ K) : ∀ᵐ z : Ω × (ℕ → ℝ) ∂P.prod gaussianCoordinates, ∀ t : ℝ, Integrable (fun x => Real.exp (t * cylinderField (A z.1 x) z.2)) (ν z.1) := by … - lemma
OAI.InvariantIsing.measurable_randomCoefficient_cgfline 202 - lemma
OAI.InvariantIsing.integrable_randomCoefficient_cgfline 214Source documentation
The external-disorder-dependent log partition is integrable, by the uniform pointwise Gaussian second-moment estimate.
lemma integrable_randomCoefficient_cgf (hν : Measurable ν) (A : Ω → X → ℕ →₀ ℝ) (hA : Measurable (fun p : (Ω × (ℕ → ℝ)) × X => cylinderField (A p.1.1 p.2) p.1.2)) {K : ℝ} (ha : ∀ ω x, (A ω x).sum (fun _ c => c ^ 2) ≤ K) (t : ℝ) : Integrable (fun z : Ω × (ℕ → ℝ) => cgf (fun x => cylinderField (A z.1 x) z.2) (ν z.1) t) (P.prod gaussianCoordinates) := by …