OAI/Probability/InvariantIsing/Arrays/TensorGGExistence.lean

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Construction of actual perturbed Gibbs limits satisfying spectral GG and geometry.

  1. theorem OAI.InvariantIsing.tensorPerturbation_exists_geometric_GG_limit line 18

    Source documentation

    Haar and Gaussian concentration yield finite minimizers and a weak limit satisfying the vector Ghirlanda–Guerra identities.

    theorem tensorPerturbation_exists_geometric_GG_limit
        (hhaar : HaarConcentrationInput) (hgauss : GaussianLipschitzVarianceInput)
        (N : ℕ → ℕ) (hN : ∀ k, 3 ≤ N k) (hNlim : Tendsto N atTop atTop)
        (m n : ℕ) (b : ℕ → ℝ) (hb : CascadeExponents n b)
        (μ : (k : ℕ) → Measure (SpecialOrthogonal (N k))) [∀ k, IsProbabilityMeasure (μ k)]
        (hμinv : ∀ k, (μ k).IsMulLeftInvariant)
        (eig c : (k : ℕ) → Fin (N k) → ℝ) (K : ℝ) (hK : 0 < K)
        (heig : ∀ k i, |eig k i| ≤ K)
        (I : (k : ℕ) → Fin m → Finset (Fin (N k)))
        (t : ℕ → ℝ) (ht : ∀ k, |t k| ≤ 1)
        (h : ℕ → ℕ → ℝ) (hh : ∀ k, Monotone (h k)) (h0 : ∀ k, 0 ≤ h k 0)
        (H : ℝ) (hH : ∀ k, h k n ≤ H) :
    …

    Mentions: OAI.InvariantIsing.HaarConcentrationInput, OAI.InvariantIsing.GaussianLipschitzVarianceInput, OAI.InvariantIsing.SpecialOrthogonal