OAI/Probability/InvariantIsing/Arrays/TensorDiagonalWardCorrectionBound.lean
4 declarations, 0 contain sorry, 0 declared as axioms
The normalized one-replica Gaussian Ward correction is quadratic in the perturbation scale, uniformly in the finite leaf restriction.
- def
OAI.InvariantIsing.tensorRestrictionDiagonalWardContractionline 18 - lemma
OAI.InvariantIsing.tensorRestrictionDiagonalWardContraction_eqline 23 - lemma
OAI.InvariantIsing.tensorRestrictionDiagonalWardCorrection_eqline 35 - theorem
OAI.InvariantIsing.tensorRestriction_actualDiagonalWardCorrection_abs_leline 58Source documentation
The exact one-replica Gaussian correction, with its single covariance kernel rather than a doubled Hamiltonian coefficient.
theorem tensorRestriction_actualDiagonalWardCorrection_abs_le [Fintype S] {N m n : ℕ} (hN : 0 < N) (U : SpecialOrthogonal N) {w : S → ℝ} (hw : GibbsReference w) (H : 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)) (x : S → Spin N × LabeledLeaf n) : |(N : ℝ)⁻¹ ^ 2 * ∑ i ∈ J, ∑ j ∈ K, gaussianWardCorrection w H (tensorRestrictionDiagonalObservable i j x U) (tensorRestrictionCovarianceDerivative I degree (tensorPerturbationAmplitude N u) (fun a => tensorPathProfile I degree n treeDegree h a) x i j U)| ≤ 48 * D * perturbationScale N ^ 2 := by …Mentions: OAI.InvariantIsing.SpecialOrthogonal, OAI.InvariantIsing.Spin, OAI.InvariantIsing.gaussianWardCorrection, OAI.InvariantIsing.tensorRestrictionDiagonalObservable, OAI.InvariantIsing.tensorRestrictionCovarianceDerivative, OAI.InvariantIsing.tensorPerturbationAmplitude, OAI.InvariantIsing.tensorPathProfile