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Upper Bound for the Inverse-Covariance Trace Generator

Proved
FunctionalInequalities.KLS.BKL.Localization.generator_stdTrace_ringInverse_cov_le_readable

by Lazyfill · Oct 26, 2026 · Mathlib 0df444a (Lean v4.33.1)

functional-inequalitieskls-conjecturekls-modularkls-readablelog-concave

This gives an upper bound for the generator of the inverse-covariance trace Lyapunov term.

Let μ\muμ be a compactly supported isotropic log-concave probability measure on Rn\mathbb{R}^nRn, assume CumulantBoundCompact 2 8, and let p=(c,Q)p=(c,Q)p=(c,Q) have self-adjoint positive-semidefinite QQQ. Then

L ⁣[tr⁡(A−1)](p)≤(1+8n)tr⁡(A(p)−1),\mathcal L\!\left[\operatorname{tr}(A^{-1})\right](p) \le (1+8n)\operatorname{tr}(A(p)^{-1}),L[tr(A−1)](p)≤(1+8n)tr(A(p)−1),

where A(p)=cov⁡(μ,p)A(p)=\operatorname{cov}(\mu,p)A(p)=cov(μ,p) and the generator is the formalized generator.

This estimate combines the exact inverse-covariance generator identity with the conjugated-noise Hilbert–Schmidt bound.

Original Lean declaration header

Within namespace FunctionalInequalities.KLS.BKL.Localization. Shown in its original module context. Proof omitted.

set_option maxHeartbeats 1000000 in
theorem generator_stdTrace_ringInverse_cov_le (hiso : KLS.Isotropic μ) (hLC : KLS.LogConcave μ)
    (h8 : LogConcave.Suspension.CumulantBoundCompact 2 8) (p : Param n)
    (hSym : IsSelfAdjoint p.2) (hQ : ∀ x, 0 ≤ ⟪p.2 x, x⟫) :
    generator μ hc (fun q : Param n => stdTrace (Ring.inverse (cov μ hc q))) p ≤
      (1 + 8 * n) * stdTrace (Ring.inverse (cov μ hc p))

Module navigation

Module: KLS/BKL/Localization/Lyapunov/Bound.

Definition modules: Analysis/Operator/HilbertSchmidt, KLS/BKL/Localization/Coefficients, Probability/LogConcave, KLS/Isotropic, KLS/BKL/CompactReduction.

Selected supporting theorems: inner_self_pos_of_comp_eq_id, inner_self_pos_of_isPositive_of_isUnit, norm_apply_sq_le_hsNormSq_mul, Covariance.inner_operator_self_pos_of_affineSupport_eq_top, generator_stdTrace_ringInverse_cov.

Previous: sum_hsNormSq_conjugatedNoiseOperator_le · Next: sum_sq_fderiv_stdTrace_ringInverse_cov_noise_le.

Source excerpt, lines 148–153 · Frozen source 408915f.

Preamble
import Definitions.Def_KLSModular_FunctionalInequalities_KLS_BKL_Localization_Lyapunov_Bound

open scoped RealInnerProductSpace ContDiff
open FunctionalInequalities.Probability.Posterior FunctionalInequalities.Analysis
  FunctionalInequalities.Analysis.BakryEmery FunctionalInequalities.Probability.Diffusion
  FunctionalInequalities.Analysis.CoordinateTensor
variable {n : ℕ} (μ : MeasureTheory.ProbabilityMeasure (EuclideanSpace ℝ (Fin n)))
  (hc : IsCompact (μ : MeasureTheory.Measure (EuclideanSpace ℝ (Fin n))).support)
set_option maxHeartbeats 1000000
Formal statement
theorem FunctionalInequalities.KLS.BKL.Localization.generator_stdTrace_ringInverse_cov_le_readable (hiso : KLS.Isotropic μ) (hLC : KLS.LogConcave μ)
    (h8 : LogConcave.Suspension.CumulantBoundCompact 2 8) (p : Param n)
    (hSym : IsSelfAdjoint p.2) (hQ : ∀ x, 0 ≤ ⟪p.2 x, x⟫) :
    generator μ hc (fun q : Param n => stdTrace (Ring.inverse (cov μ hc q))) p ≤
      (1 + 8 * n) * stdTrace (Ring.inverse (cov μ hc p)) := by sorry
Source
Lean source: https://github.com/human-ai-mathematics/kls-lean/blob/408915f/formalization/FunctionalInequalities/KLS/BKL/Localization/Lyapunov/Bound.lean#L148-L222 (repository human-ai-mathematics/kls-lean, commit 408915f, module `FunctionalInequalities.KLS.BKL.Localization.Lyapunov.Bound`, declaration `FunctionalInequalities.KLS.BKL.Localization.generator_stdTrace_ringInverse_cov_le`; the repository is private at upload time).

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