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Literature Poincaré Bound at a Log-Concave Weak Limit

Proved
FunctionalInequalities.KLS.LogConcave.localSlope_constant_le_of_tendsto_readable

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

bkl2026functional-inequalitieskls-conjecturekls-modularkls-readablelog-concave

This formalizes the weak-limit transfer step of the regular-approximation reduction associated with Bizeul–Klartag–Lehec (arXiv:2610.05474v1), Section 2, (12), p. 5 (unnumbered).

Let EEE be a finite-dimensional complete real inner product space with its Borel measurable structure and a second-countable topology. Assume:

  1. Probability measures μj\mu_jμj​ converge weakly to a log-concave probability measure μ\muμ (KLS.LogConcave).
  2. Cj,C∈[0,∞)C_j,C\in[0,\infty)Cj​,C∈[0,∞) and Cj→CC_j\to CCj​→C.
  3. Each μj\mu_jμj​ satisfies Poincare.SmoothTest.Holds with real constant CjC_jCj​: every admissible smooth test satisfies Var⁡μj(f)≤Cj∫∥∇f∥2 dμj\operatorname{Var}_{\mu_j}(f)\le C_j\int\|\nabla f\|^2\,d\mu_jVarμj​​(f)≤Cj​∫∥∇f∥2dμj​. Admissibility requires f∈C∞∩L2(μj)f\in C^\infty\cap L^2(\mu_j)f∈C∞∩L2(μj​) and integrable squared gradient.

Then the intrinsic literature local-slope constant satisfies

CPlit(μ)≤C.C_P^{\mathrm{lit}}(\mu)\le C.CPlit​(μ)≤C.

This transfers supplied smooth-test bounds to the literature constant of the limit; the approximating laws need not be log-concave.

Formalization Note CPlitC_P^{\mathrm{lit}}CPlit​ is Poincare.LocalSlope.Intrinsic.constant, valued in ENNReal. The constants are NNReal, coerced to reals in the hypotheses and to ENNReal in the conclusion.

Original Lean declaration header

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

theorem localSlope_constant_le_of_tendsto (μs : ℕ → ProbabilityMeasure E)
    (μ : ProbabilityMeasure E) (hμ : LogConcave μ) (Cseq : ℕ → NNReal) (C : NNReal)
    (hlim : Tendsto μs atTop (𝓝 μ)) (hClim : Tendsto Cseq atTop (𝓝 C))
    (hbound : ∀ j, Poincare.SmoothTest.Holds (μs j : Measure E) (Cseq j : ℝ)) :
    Poincare.LocalSlope.Intrinsic.constant μ ≤ (C : ENNReal)

Module navigation

Module: KLS/LogConcave/WeakLimit.

Definition modules: Probability/LogConcave, Poincare/LocalSlope/Basic, Poincare/SmoothTest/Basic.

Selected supporting theorems: exists_ambient_extension, Admissible.of_contDiff_hasCompactSupport, Holds.of_compactSupport, holds_iff_localSlope, variance_le_mul_energy_of_tendsto.

Source excerpt, lines 28–32 · Frozen source 408915f.

Preamble
import Definitions.Def_KLSModular_FunctionalInequalities_KLS_LogConcave_WeakLimit

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

theorem FunctionalInequalities.KLS.LogConcave.localSlope_constant_le_of_tendsto_readable (μs : ℕ → ProbabilityMeasure E)
    (μ : ProbabilityMeasure E) (hμ : LogConcave μ) (Cseq : ℕ → NNReal) (C : NNReal)
    (hlim : Tendsto μs atTop (𝓝 μ)) (hClim : Tendsto Cseq atTop (𝓝 C))
    (hbound : ∀ j, Poincare.SmoothTest.Holds (μs j : Measure E) (Cseq j : ℝ)) :
    Poincare.LocalSlope.Intrinsic.constant μ ≤ (C : ENNReal) := by sorry
Source
Source: Bizeul–Klartag–Lehec, Presenting a proof of the Kannan–Lovász–Simonovits conjecture (arXiv:2610.05474v1), Section 2, (12), p. 5 (unnumbered). Lean source: https://github.com/human-ai-mathematics/kls-lean/blob/408915f/formalization/FunctionalInequalities/KLS/LogConcave/WeakLimit.lean#L21-L44 (repository human-ai-mathematics/kls-lean, commit 408915f, module `FunctionalInequalities.KLS.LogConcave.WeakLimit`, declaration `FunctionalInequalities.KLS.LogConcave.localSlope_constant_le_of_tendsto`; the repository is private at upload time).

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