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Local Scalar-Direction Fréchet Derivative of the Suspension Log-Laplace Transform

Proved
FunctionalInequalities.KLS.LogConcave.Suspension.fderiv_logLaplace_jointLaw_none_readable

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

bkl2026functional-inequalitieskls-conjecturekls-modularkls-readablelog-concave

This auxiliary statement formalizes equation (111) in the suspension argument for Proposition 7.1, p. 28, of Bizeul–Klartag–Lehec (arXiv:2610.05474v1).

Let n,N∈Nn,N\in\mathbb Nn,N∈N with N>0N>0N>0, and E=RnE=\mathbb R^nE=Rn (EuclideanSpace ℝ (Fin n)). Let hV:h_V:hV​: RegularPotential V a b′V\ a\ b'V a b′: a,b′>0a,b'>0a,b′>0, VVV is smooth with derivatives of polynomial growth, and aId⁡≤D2V≤b′Id⁡a\operatorname{Id}\le D^2V\le b'\operatorname{Id}aId≤D2V≤b′Id. Put μ=hV.law\mu=h_V.\text{law}μ=hV​.law, the normalized e−Ve^{-V}e−V law. Assume:

  1. β>0\beta>0β>0 and f:E→Rf:E\to\mathbb Rf:E→R is C2C^2C2.
  2. ∥D(Df)(x)∥≤M\|D(Df)(x)\|\le M∥D(Df)(x)∥≤M for every xxx, where M∈RM\in\mathbb RM∈R.
  3. (β/N)M≤a(\beta/\sqrt N)M\le a(β/N​)M≤a.

Set σβ=1+2/β2\sigma_\beta=\sqrt{1+2/\beta^2}σβ​=1+2/β2​ (sigma) and λ=\lambda=λ= jointLaw μ f β σβ N\mu\ f\ \beta\ \sigma_\beta\ Nμ f β σβ​ N on H=H=H= JointSpace N nN\ nN n. Write z0z_0z0​ for the scalar coordinate, ziz_izi​ for the copy blocks, and e0e_0e0​ for the scalar unit vector. There exists r>0r>0r>0 such that every z∈Hz\in Hz∈H with ∥z∥<r\|z\|<r∥z∥<r and z0=0z_0=0z0​=0 satisfies

DΛλ(z)[e0]=1σβN∑i∈Fin⁡NFf(zi).D\Lambda_\lambda(z)[e_0]=\frac{1}{\sigma_\beta\sqrt N}\sum_{i\in\operatorname{Fin}N}F_f(z_i).DΛλ​(z)[e0​]=σβ​N​1​i∈FinN∑​Ff​(zi​).

Here DDD is fderiv, Λλ=\Lambda_\lambda=Λλ​= logLaplace, and Ff=F_f=Ff​= tiltAverage. This supplies the local first-derivative identity for mixed-cumulant calculations; it does not require isotropy or normalization of fff.

Original Lean declaration header

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

theorem fderiv_logLaplace_jointLaw_none {n N : ℕ} (hN : 0 < N) (V : EuclideanSpace ℝ (Fin n) → ℝ)
    {a b' : ℝ} (hV : KLS.RegularPotential V a b') {f : EuclideanSpace ℝ (Fin n) → ℝ} {M β : ℝ}
    (hβ : 0 < β) (hf : ContDiff ℝ 2 f) (hfM : ∀ x, ‖fderiv ℝ (fderiv ℝ f) x‖ ≤ M)
    (h110 : β / Real.sqrt N * M ≤ a) :
    ∃ r > 0, ∀ z : JointSpace N n, ‖z‖ < r → z none = 0 →
      fderiv ℝ (logLaplace (jointLaw (hV.law : Measure _) f β (sigma β) N)) z
          (EuclideanSpace.single none 1) =
        (sigma β * Real.sqrt N)⁻¹ *
          ∑ i, tiltAverage (hV.law : Measure _) f (WithLp.toLp 2 fun j => z (some (i, j)))

Module navigation

Module: KLS/BKL/Suspension/Derivatives.

Definition modules: Analysis/BakryEmery/Cumulant/Basic, KLS/BKL/Suspension/Law, KLS/LogConcave/Regular/Basic, Analysis/BakryEmery/Tilt/Basic.

Selected supporting theorems: contDiffOn_logLaplace_ball, convexOn_of_hessian_ge, exists_integrable_exp_norm, exists_f_abs_exponential_moment, exists_graph_norm_moment_of_local_moments.

Previous: joint_first_derivative_of_radii · Next: source_mixed_cumulant_entries.

Source excerpt, lines 360–368 · Frozen source 408915f.

Preamble
import Definitions.Def_KLSModular_FunctionalInequalities_KLS_BKL_Suspension_Derivatives

open MeasureTheory FunctionalInequalities FunctionalInequalities.Analysis.BakryEmery
Formal statement

theorem FunctionalInequalities.KLS.LogConcave.Suspension.fderiv_logLaplace_jointLaw_none_readable {n N : ℕ} (hN : 0 < N) (V : EuclideanSpace ℝ (Fin n) → ℝ)
    {a b' : ℝ} (hV : KLS.RegularPotential V a b') {f : EuclideanSpace ℝ (Fin n) → ℝ} {M β : ℝ}
    (hβ : 0 < β) (hf : ContDiff ℝ 2 f) (hfM : ∀ x, ‖fderiv ℝ (fderiv ℝ f) x‖ ≤ M)
    (h110 : β / Real.sqrt N * M ≤ a) :
    ∃ r > 0, ∀ z : JointSpace N n, ‖z‖ < r → z none = 0 →
      fderiv ℝ (logLaplace (jointLaw (hV.law : Measure _) f β (sigma β) N)) z
          (EuclideanSpace.single none 1) =
        (sigma β * Real.sqrt N)⁻¹ *
          ∑ i, tiltAverage (hV.law : Measure _) f (WithLp.toLp 2 fun j => z (some (i, j))) := by sorry
Source
Source: Bizeul–Klartag–Lehec, Presenting a proof of the Kannan–Lovász–Simonovits conjecture (arXiv:2610.05474v1), Proposition 7.1, p. 28. Lean source: https://github.com/human-ai-mathematics/kls-lean/blob/408915f/formalization/FunctionalInequalities/KLS/BKL/Suspension/Derivatives.lean#L359-L393 (repository human-ai-mathematics/kls-lean, commit 408915f, module `FunctionalInequalities.KLS.BKL.Suspension.Derivatives`, declaration `FunctionalInequalities.KLS.LogConcave.Suspension.fderiv_logLaplace_jointLaw_none`; the repository is private at upload time).

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