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Derivative of a Weighted Coordinate Test

Proved
FunctionalInequalities.Analysis.smooth_test_derivative_readable

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

functional-inequalitieskls-conjecturekls-modularkls-readablelog-concave

This is a technical coordinate identity for weighted test functions.

Let n∈Nn\in\mathbb Nn∈N, let u,a,f:Rn→Ru,a,f:\mathbb R^n\to\mathbb Ru,a,f:Rn→R be functions on EuclideanSpace R (Fin n)\mathrm{EuclideanSpace}\ \mathbb R\ (\mathrm{Fin}\ n)EuclideanSpace R (Fin n), with uuu and aaa of class C1C^1C1 and fff of class C2C^2C2. For i,j∈Fin ni,j\in\mathrm{Fin}\ ni,j∈Fin n and x∈Rnx\in\mathbb R^nx∈Rn, the jjj-th coordinate derivative of the weighted test weightedTest u a f i is

coord⁡(weightedTest⁡(u,a,f,i))j(x)=e−u(x)(coord⁡(a)j(x)coord⁡(f)i(x)−a(x)coord⁡(u)j(x)coord⁡(f)i(x)+a(x) hessianMatrix⁡(f)(x)ji).\operatorname{coord}(\operatorname{weightedTest}(u,a,f,i))_j(x)=e^{-u(x)}\left(\operatorname{coord}(a)_j(x)\operatorname{coord}(f)_i(x)-a(x)\operatorname{coord}(u)_j(x)\operatorname{coord}(f)_i(x)+a(x)\,\operatorname{hessianMatrix}(f)(x)_{ji}\right).coord(weightedTest(u,a,f,i))j​(x)=e−u(x)(coord(a)j​(x)coord(f)i​(x)−a(x)coord(u)j​(x)coord(f)i​(x)+a(x)hessianMatrix(f)(x)ji​).

This lemma supplies a pointwise product-and-chain-rule calculation used by the weak inverse-Hessian integration-by-parts identities.

Original Lean declaration header

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

private lemma smooth_test_derivative {n : ℕ}
    {u a f : EuclideanSpace ℝ (Fin n) → ℝ}
    (hu : ContDiff ℝ 1 u) (ha : ContDiff ℝ 1 a)
    (hf : ContDiff ℝ 2 f) (i j : Fin n)
    (x : EuclideanSpace ℝ (Fin n)) :
    coord (weightedTest u a f i) j x =
      Real.exp (-u x) *
        (coord a j x * coord f i x -
          a x * coord u j x * coord f i x +
          a x * hessianMatrix f x j i)

Module navigation

Module: Analysis/BakryEmery/IntegrationByParts/InverseHessian/Weak.

Definition modules: Analysis/BakryEmery/HessianOperator.

Previous: sum_inv_gradient_test_sub_chain_eq · Next: assemble_generator.

Source excerpt, lines 543–552 · Frozen source 408915f.

Preamble
import Definitions.Def_KLSModular_FunctionalInequalities_Analysis_BakryEmery_IntegrationByParts_InverseHessian_Weak

open FunctionalInequalities.Probability.Stein
Formal statement
 lemma FunctionalInequalities.Analysis.smooth_test_derivative_readable {n : ℕ}
    {u a f : EuclideanSpace ℝ (Fin n) → ℝ}
    (hu : ContDiff ℝ 1 u) (ha : ContDiff ℝ 1 a)
    (hf : ContDiff ℝ 2 f) (i j : Fin n)
    (x : EuclideanSpace ℝ (Fin n)) :
    FunctionalInequalities.Analysis.coord (FunctionalInequalities.Analysis.weightedTest u a f i) j x =
      Real.exp (-u x) *
        (FunctionalInequalities.Analysis.coord a j x * FunctionalInequalities.Analysis.coord f i x -
          a x * FunctionalInequalities.Analysis.coord u j x * FunctionalInequalities.Analysis.coord f i x +
          a x * hessianMatrix f x j i) := by sorry
Source
Lean source: https://github.com/human-ai-mathematics/kls-lean/blob/408915f/formalization/FunctionalInequalities/Analysis/BakryEmery/IntegrationByParts/InverseHessian/Weak.lean#L543-L600 (repository human-ai-mathematics/kls-lean, commit 408915f, module `FunctionalInequalities.Analysis.BakryEmery.IntegrationByParts.InverseHessian.Weak`, declaration `_private.FunctionalInequalities.Analysis.BakryEmery.IntegrationByParts.InverseHessian.Weak.0.FunctionalInequalities.Analysis.smooth_test_derivative`; the repository is private at upload time).

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