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Existence of a Lyapunov Generator Constant

Proved
FunctionalInequalities.KLS.BKL.Localization.exists_generator_lyapunov_le_readable

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

functional-inequalitieskls-conjecturekls-modularkls-readablelog-concave

This establishes a pointwise generator inequality for the localization Lyapunov function.

Let μ\muμ be a compactly supported isotropic log-concave probability measure on Rn\mathbb{R}^nRn, assume CumulantBoundCompact 2 8, and suppose that for some r≥0r\ge0r≥0 the support of μ\muμ is contained in the closed ball B‾(0,r)\overline B(0,r)B(0,r). Then there exists K≥0K\ge0K≥0 such that, for every localization parameter p=(c,Q)p=(c,Q)p=(c,Q) with QQQ self-adjoint and positive semidefinite,

L lyapunov⁡(p)≤K lyapunov⁡(p).\mathcal L\,\operatorname{lyapunov}(p) \le K\,\operatorname{lyapunov}(p).Llyapunov(p)≤Klyapunov(p).

The formal statement asserts existence of KKK and does not require a dimension-free choice. It packages the generator estimates for the separate components of lyapunov.

Original Lean declaration header

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

set_option maxHeartbeats 1000000 in
theorem exists_generator_lyapunov_le (hiso : KLS.Isotropic μ) (hLC : KLS.LogConcave μ)
    (h8 : LogConcave.Suspension.CumulantBoundCompact 2 8) {r : ℝ} (hr : 0 ≤ r)
    (hsupp : (μ : Measure (EuclideanSpace ℝ (Fin n))).support ⊆ Metric.closedBall 0 r) :
    ∃ K : ℝ, 0 ≤ K ∧ ∀ p : Param n, IsSelfAdjoint p.2 → (∀ x, 0 ≤ ⟪p.2 x, x⟫) →
      generator μ hc (lyapunov μ hc) p ≤ K * lyapunov μ hc p

Module navigation

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

Definition modules: KLS/BKL/Localization/Coefficients, Probability/LogConcave, KLS/Isotropic, KLS/BKL/Localization/Lyapunov/Basic, KLS/BKL/CompactReduction.

Selected supporting theorems: inner_self_pos_of_comp_eq_id, opNorm_sq_le_hsNormSq, sum_inner_apply_le_sqrt_hsNormSq_mul, Covariance.inner_operator_self_pos_of_affineSupport_eq_top, generator_hsNormSq_snd.

Previous: sum_sq_fderiv_stdTrace_ringInverse_cov_noise_le.

Source excerpt, lines 379–384 · Frozen source 408915f.

Preamble
import Definitions.Def_KLSModular_FunctionalInequalities_KLS_BKL_Localization_Lyapunov_Bound

open MeasureTheory
open scoped RealInnerProductSpace ContDiff
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.exists_generator_lyapunov_le_readable (hiso : KLS.Isotropic μ) (hLC : KLS.LogConcave μ)
    (h8 : LogConcave.Suspension.CumulantBoundCompact 2 8) {r : ℝ} (hr : 0 ≤ r)
    (hsupp : (μ : Measure (EuclideanSpace ℝ (Fin n))).support ⊆ Metric.closedBall 0 r) :
    ∃ K : ℝ, 0 ≤ K ∧ ∀ p : Param n, IsSelfAdjoint p.2 → (∀ x, 0 ≤ ⟪p.2 x, x⟫) →
      generator μ hc (lyapunov μ hc) p ≤ K * lyapunov 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#L379-L622 (repository human-ai-mathematics/kls-lean, commit 408915f, module `FunctionalInequalities.KLS.BKL.Localization.Lyapunov.Bound`, declaration `FunctionalInequalities.KLS.BKL.Localization.exists_generator_lyapunov_le`; the repository is private at upload time).

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