OAI/Probability/InvariantIsing/Arrays/TensorWardCorrectionBound.lean

GitHub source file

15 declarations, 0 contain sorry, 0 declared as axioms

Uniform bounds on the complete finite Gaussian Ward correction after spectral coordinate contraction. Constants do not depend on the leaf cutoff.

  1. lemma OAI.InvariantIsing.gibbsPairAverage_const_mul line 17
  2. lemma OAI.InvariantIsing.gibbsTripleAverage_const_mul line 26
  3. lemma OAI.InvariantIsing.abs_gibbsPairAverage_le line 37
  4. lemma OAI.InvariantIsing.abs_gibbsTripleAverage_le line 50
  5. def OAI.InvariantIsing.gibbsKernelCorrection line 67

    Source documentation

    The Gaussian correction written in terms of a contracted observable and kernel. Its three arguments retain the observable and both endpoints.

    def gibbsKernelCorrection (w H : S → ℝ) (C : S → S → S → ℝ) : ℝ :=
    …
  6. lemma OAI.InvariantIsing.gibbsKernelCorrection_product line 72
  7. lemma OAI.InvariantIsing.gibbsKernelCorrection_finset_sum line 76
  8. lemma OAI.InvariantIsing.gibbsKernelCorrection_abs_le line 91

    Source documentation

    Six times the contraction bound controls the entire Gaussian ratio correction, including both normalization insertions.

    lemma gibbsKernelCorrection_abs_le {w : S → ℝ} (hw : GibbsReference w)
        (H : S → ℝ) (C : S → S → S → ℝ) {B : ℝ}
        (hC : ∀ s x y, |C s x y| ≤ B) :
        |gibbsKernelCorrection w H C| ≤ 6 * B := by
    …

    Mentions: OAI.InvariantIsing.gibbsKernelCorrection

  9. lemma OAI.InvariantIsing.cylinderCross_add_right line 110

    Distinct definitions of this name: OAI/Probability/InvariantIsing/Gaussian/CountableGaussianComparison.lean:151 (same statement text; different proof or body). Qualify references as OAI.InvariantIsing.cylinderCross_add_right@path.

  10. def OAI.InvariantIsing.tensorRestrictionWardContraction line 115
  11. lemma OAI.InvariantIsing.tensorRestrictionWardContraction_abs_le line 126
  12. theorem OAI.InvariantIsing.tensorRestrictionWardCorrection_abs_le line 159

    Source documentation

    The complete finite Gaussian Ward correction is uniformly quadratic in the perturbation scale, independent of the leaf cutoff and all Gaussian marks. The coefficient 192 is inessential for passage to the limit.

    theorem tensorRestrictionWardCorrection_abs_le {N m n : ℕ}
        (hN : 0 < N) (U : Orthogonal N) {w : S → ℝ} (hw : GibbsReference w)
        (H : S × S → ℝ) (I : Fin m → Finset (Fin N)) (degree : Fin N → Fin m → ℕ)
        (treeDegree : Fin N → ℕ) (u : Fin N → ℝ) (hu : ∀ r, |u r| ≤ 2)
        (D : ℝ) (hD : 0 ≤ D) (hdegree : ∀ r, (∑ a, (degree r a : ℝ)) ≤ D * ((r : ℝ) + 1))
        (J K : Finset (Fin N)) (F : Spin N → Spin N → ℝ) (B : ℝ) (hB : 0 ≤ B)
        (hF : ∀ σ τ, |F σ τ| ≤ B) (x : S → Spin N × LabeledLeaf n) :
        |gibbsKernelCorrection (fun s : S × S => w s.1 * w s.2) H
          (tensorRestrictionWardContraction U I degree treeDegree u J K F x)| ≤
            192 * B * D * perturbationScale N ^ 2 := by
    …

    Mentions: OAI.InvariantIsing.Orthogonal, OAI.InvariantIsing.Spin, OAI.InvariantIsing.gibbsKernelCorrection, OAI.InvariantIsing.tensorRestrictionWardContraction

  13. lemma OAI.InvariantIsing.tensorRestrictionWardContraction_eq line 175
  14. lemma OAI.InvariantIsing.tensorRestrictionWardCorrection_eq line 225
  15. theorem OAI.InvariantIsing.tensorRestriction_actualWardCorrection_abs_le line 250

    Source documentation

    The normalized Gaussian error in the actual finite-prior Ward equation has a uniform bound tending to zero with the perturbation scale.

    theorem tensorRestriction_actualWardCorrection_abs_le {N m n : ℕ} (hN : 0 < N)
        (U : SpecialOrthogonal N) {w : S → ℝ} (hw : GibbsReference w) (H : S × S → ℝ)
        (I : Fin m → Finset (Fin N)) (degree : Fin N → Fin m → ℕ) (treeDegree : Fin N → ℕ)
        (u : Fin N → ℝ) (hu : ∀ r, |u r| ≤ 2) (D : ℝ) (hD : 0 ≤ D)
        (hdegree : ∀ r, (∑ a, (degree r a : ℝ)) ≤ D * ((r : ℝ) + 1))
        (h : ℕ → ℝ) (hh : Monotone h) (h0 : 0 ≤ h 0)
        (J K : Finset (Fin N)) (F : Spin N → Spin N → ℝ) (B : ℝ) (hB : 0 ≤ B)
        (hF : ∀ σ τ, |F σ τ| ≤ B) (x : S → Spin N × LabeledLeaf n) :
        |(N : ℝ)⁻¹ ^ 2 * ∑ i ∈ J, ∑ j ∈ K,
          gaussianWardCorrection (fun p : S × S => w p.1 * w p.2) H
            (tensorRestrictionOffObservable i j F x U)
            (tensorRestrictionPairCovarianceDerivative I degree (tensorPerturbationAmplitude N u)
    …

    Mentions: OAI.InvariantIsing.SpecialOrthogonal, OAI.InvariantIsing.Spin, OAI.InvariantIsing.gaussianWardCorrection, OAI.InvariantIsing.tensorRestrictionOffObservable, OAI.InvariantIsing.tensorRestrictionPairCovarianceDerivative, OAI.InvariantIsing.tensorPerturbationAmplitude