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Dynkin Identity for the Cutoff Eldan Process

Proved
FunctionalInequalities.KLS.BKL.Localization.IsEldanCutoff.dynkin_readable

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

bkl2026functional-inequalitieskls-conjecturekls-modularkls-readablelog-concave

This formalizes the Dynkin identity associated with Equation (67), p. 19, of Bizeul–Klartag–Lehec (arXiv:2610.05474v1), at the compact-support cutoff stage.

Let n∈Nn\in\mathbb Nn∈N, let μ\muμ be an isotropic probability measure on EuclideanSpace⁡(R,Fin⁡(n))\operatorname{EuclideanSpace}(\mathbb R,\operatorname{Fin}(n))EuclideanSpace(R,Fin(n)) with compact support, and let PPP be a probability measure on a measurable sample space Ω\OmegaΩ. Let WWW be an nnn-dimensional multidimensional Brownian motion whose coordinates are Brownian with respect to a filtration F\mathcal FF. Let γ\gammaγ be a cutoff on the parameter space and let pt(ω)p_t(\omega)pt​(ω) be an IsEldanCutoff process. Assume:

  1. The filtration is decreasing from time 000 toward nonpositive times: F0≤Ft\mathcal F_0\leq\mathcal F_tF0​≤Ft​ whenever t≤0t\leq 0t≤0.
  2. Every PPP-null measurable set is measurable with respect to F0\mathcal F_0F0​.
  3. The cutoff and process satisfy the stated cutoff Eldan process conditions.
  4. FFF is a C2C^2C2 function on the parameter space, and T≥0T\geq 0T≥0.

Then F(pT)F(p_T)F(pT​) is PPP-integrable and its expectation satisfies

∫ΩF(pT(ω)) dP(ω)−F(0)=∫Ω∫(0,T]γ(ps(ω))2 generator⁡(μ,hc,F)(ps(ω)) ds dP(ω).\int_\Omega F(p_T(\omega))\,dP(\omega)-F(0) = \int_\Omega\int_{(0,T]}\gamma(p_s(\omega))^2\,\operatorname{generator}(\mu,h_c,F)(p_s(\omega))\,ds\,dP(\omega).∫Ω​F(pT​(ω))dP(ω)−F(0)=∫Ω​∫(0,T]​γ(ps​(ω))2generator(μ,hc​,F)(ps​(ω))dsdP(ω).

This is a reusable expectation identity for twice continuously differentiable observables of the cutoff localization process.

Formalization Note. The integrals are Lebesgue integrals over (0,T](0,T](0,T] and PPP; the generator is the uncut generator, multiplied by the squared cutoff coefficient.

Original Lean declaration header

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

theorem IsEldanCutoff.dynkin (hiso : KLS.Isotropic μ) (hγ : IsCutoff γ)
    (hℱ0 : ∀ t : ℝ, t ≤ 0 → ℱ 0 ≤ ℱ t)
    (hnull : ∀ s : Set Ω, MeasurableSet s → P s = 0 → MeasurableSet[ℱ 0] s)
    (h : IsEldanCutoff μ hc W ℱ hW γ p) {F : Param n → ℝ} (hF : ContDiff ℝ 2 F)
    {T : ℝ} (hT : 0 ≤ T) :
    Integrable (fun ω => F (p T ω)) P ∧
      ∫ ω, F (p T ω) ∂P - F 0 =
        ∫ ω, ∫ s in Set.Ioc (0 : ℝ) T, γ (p s ω) ^ 2 * generator μ hc F (p s ω) ∂volume ∂P

Module navigation

Module: KLS/BKL/Localization/Process/Basic.

Definition modules: KLS/BKL/Localization/Coefficients, LevyStochCalc/Brownian/Filtered, KLS/Isotropic, LevyStochCalc/Brownian/Multidim.

Supporting theorems: cutoffCoefficients_admissible, IsDiffusion.dynkin_transport.

Previous: IsEldanCutoff.continuous · Next: IsEldanCutoff.ae_inner_Q_eq_integral.

Source excerpt, lines 180–187 · Frozen source 408915f.

Preamble
import Definitions.Def_KLSModular_FunctionalInequalities_KLS_BKL_Localization_Process_Basic

open MeasureTheory ProbabilityTheory Filter Topology
variable {n : ℕ} (μ : MeasureTheory.ProbabilityMeasure (EuclideanSpace ℝ (Fin n)))
  (hc : IsCompact (μ : MeasureTheory.Measure (EuclideanSpace ℝ (Fin n))).support)
variable {μ hc} {Ω : Type*} [MeasurableSpace Ω] {P : MeasureTheory.Measure Ω} [MeasureTheory.IsProbabilityMeasure P]
  {W : LevyStochCalc.Brownian.Multidim.MultidimBrownianMotion P n} {ℱ : MeasureTheory.Filtration ℝ ‹MeasurableSpace Ω›}
  {hW : ∀ k, LevyStochCalc.Brownian.IsBrownianFiltration (W.W k) ℱ} {γ : FunctionalInequalities.KLS.BKL.Localization.Param n → ℝ} {p : ℝ → Ω → FunctionalInequalities.KLS.BKL.Localization.Param n}
Formal statement

theorem FunctionalInequalities.KLS.BKL.Localization.IsEldanCutoff.dynkin_readable (hiso : KLS.Isotropic μ) (hγ : IsCutoff γ)
    (hℱ0 : ∀ t : ℝ, t ≤ 0 → ℱ 0 ≤ ℱ t)
    (hnull : ∀ s : Set Ω, MeasurableSet s → P s = 0 → MeasurableSet[ℱ 0] s)
    (h : IsEldanCutoff μ hc W ℱ hW γ p) {F : Param n → ℝ} (hF : ContDiff ℝ 2 F)
    {T : ℝ} (hT : 0 ≤ T) :
    Integrable (fun ω => F (p T ω)) P ∧
      ∫ ω, F (p T ω) ∂P - F 0 =
        ∫ ω, ∫ s in Set.Ioc (0 : ℝ) T, γ (p s ω) ^ 2 * generator μ hc F (p s ω) ∂volume ∂P := by sorry
Source
Source: Bizeul–Klartag–Lehec, Presenting a proof of the Kannan–Lovász–Simonovits conjecture (arXiv:2610.05474v1), Equation (67), p. 19 (unnumbered display) and the compact stage before it. Lean source: https://github.com/human-ai-mathematics/kls-lean/blob/408915f/formalization/FunctionalInequalities/KLS/BKL/Localization/Process/Basic.lean#L177-L217 (repository human-ai-mathematics/kls-lean, commit 408915f, module `FunctionalInequalities.KLS.BKL.Localization.Process.Basic`, declaration `FunctionalInequalities.KLS.BKL.Localization.IsEldanCutoff.dynkin`; the repository is private at upload time).

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