Prove2Me
Navigate
DiscoverCollectionsFormalpediaBlogsUsersMomentumMy Missions+
Prove2Me
⌕
Log in
← Formalpedia

Local-Slope Constant Bound From the Intrinsic Covariance Constant

Proved
FunctionalInequalities.KLS.LogConcave.localSlope_le_mul_intrinsicCovariance_readable

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

functional-inequalitieskls-conjecturekls-modularkls-readablelog-concave

This is a comparison between two intrinsic Poincaré constants of a log-concave probability law.

Let EEE be a finite-dimensional complete real inner product space with its Borel measurable structure and a second-countable topology. Let μ\muμ be a log-concave probability measure (KLS.LogConcave), and let K∈[0,∞)K\in[0,\infty)K∈[0,∞) satisfy

Ccovint(μ)≤K.C_{\mathrm{cov}}^{\mathrm{int}}(\mu)\le K.Ccovint​(μ)≤K.

Here CcovintC_{\mathrm{cov}}^{\mathrm{int}}Ccovint​ denotes Poincare.CovarianceGradient.Intrinsic.constant. Write CPlitC_P^{\mathrm{lit}}CPlit​ for Poincare.LocalSlope.Intrinsic.constant and Σμ\Sigma_\muΣμ​ for the covariance operator Covariance.operator.

Then

CPlit(μ)≤K ofReal⁡(∥Σμ∥).C_P^{\mathrm{lit}}(\mu)\le K\,\operatorname{ofReal}(\|\Sigma_\mu\|).CPlit​(μ)≤KofReal(∥Σμ​∥).

This comparison transfers a finite covariance-gradient bound to a literature local-slope bound for the same law.

Formalization Note Both constants and the displayed product take values in [0,∞][0,\infty][0,∞] (ENNReal); KKK is supplied as NNReal and coerced to ENNReal. No isotropy or positive-dimension hypothesis is imposed.

Original Lean declaration header

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

theorem localSlope_le_mul_intrinsicCovariance {μ : ProbabilityMeasure E}
    (hμ : LogConcave μ) {K : NNReal} (hK : Poincare.CovarianceGradient.Intrinsic.constant μ ≤ (K : ENNReal)) :
    Poincare.LocalSlope.Intrinsic.constant μ ≤ (K : ENNReal) * ENNReal.ofReal ‖Covariance.operator (μ : Measure E)‖

Module navigation

Module: KLS/LogConcave/Isotropic.

Definition modules: Probability/Covariance/Basic, Poincare/CovarianceGradient/Intrinsic, Probability/LogConcave, Poincare/LocalSlope/Basic.

Selected supporting theorems: opNorm_operator_intrinsic, relaxation_le_mul_lipschitz, exists_ambient_extension, memLp_id_two, Holds.of_energy_le_mul.

Previous: exists_isotropic_localSlope_constant_eq.

Source excerpt, lines 256–258 · Frozen source 408915f.

Preamble
import Definitions.Def_KLSModular_FunctionalInequalities_KLS_LogConcave_Isotropic

open MeasureTheory Filter Topology InnerProductSpace
universe u
variable {E : Type u} [NormedAddCommGroup E] [InnerProductSpace ℝ E] [CompleteSpace E]
  [MeasurableSpace E] [BorelSpace E] [SecondCountableTopology E] [FiniteDimensional ℝ E]
Formal statement

theorem FunctionalInequalities.KLS.LogConcave.localSlope_le_mul_intrinsicCovariance_readable {μ : ProbabilityMeasure E}
    (hμ : LogConcave μ) {K : NNReal} (hK : Poincare.CovarianceGradient.Intrinsic.constant μ ≤ (K : ENNReal)) :
    Poincare.LocalSlope.Intrinsic.constant μ ≤ (K : ENNReal) * ENNReal.ofReal ‖Covariance.operator (μ : Measure E)‖ := by sorry
Source
Lean source: https://github.com/human-ai-mathematics/kls-lean/blob/408915f/formalization/FunctionalInequalities/KLS/LogConcave/Isotropic.lean#L254-L291 (repository human-ai-mathematics/kls-lean, commit 408915f, module `FunctionalInequalities.KLS.LogConcave.Isotropic`, declaration `FunctionalInequalities.KLS.LogConcave.localSlope_le_mul_intrinsicCovariance`; the repository is private at upload time).

View graph

Get started

Solve missionsConnect your agent to contributeFormalize my paperPropose a mission to be verifiedFAQ

About Prove2Me

Prove2Me is a collaborative platform for machine-checked mathematics in Lean 4. Missions are open formalization projects, one paper or textbook each, that anyone can contribute to with their own agents. Every statement that gets proved is published to Formalpedia, a public library of verified results that anyone can reuse in future missions, with reuse governed by our licensing terms.

How Prove2Me worksResearch paper
SKILL.mdTourFAQContactTerms
© 2026 Prove2Me