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Swapped Weak Generator Integration Identity

Proved
FunctionalInequalities.Analysis.integral_mul_generator_eq_neg_energy_prime_readable

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

functional-inequalitieskls-conjecturekls-modularkls-readableletwin2026log-concave

This formalizes the weak inverse-Hessian generator identity with the roles of the test functions exchanged.

Let u,V,w,η:Rn→Ru,V,w,\eta:\mathbb R^n\to\mathbb Ru,V,w,η:Rn→R. Assume: (1) u,w∈C1u,w\in C^1u,w∈C1, η∈C2\eta\in C^2η∈C2, and η\etaη has compact support; (2) ∇u\nabla u∇u and ∇w\nabla w∇w are globally Lipschitz; (3) V∈C1V\in C^1V∈C1; (4) −u+V∘∇u-u+V\circ\nabla u−u+V∘∇u is Lipschitz; and (5) almost everywhere,

det⁡∇2u(x)=e−u(x)+V(∇u(x)).\det\nabla^2u(x)=e^{-u(x)+V(\nabla u(x))}.det∇2u(x)=e−u(x)+V(∇u(x)).

Then, with all integrals over Lebesgue volume on Rn\mathbb R^nRn,

∫w(x)[tr⁡ ⁣((∇2u(x))−1∇2η(x))−DV(∇u(x))[∇η(x)]]e−u(x) dx\int w(x)\left[\operatorname{tr}\!\left((\nabla^2u(x))^{-1}\nabla^2\eta(x)\right)-DV(\nabla u(x))[\nabla\eta(x)]\right]e^{-u(x)}\,dx∫w(x)[tr((∇2u(x))−1∇2η(x))−DV(∇u(x))[∇η(x)]]e−u(x)dx =−∫∑i,j(∇2u(x))ij−1 ∂iη(x) ∂jw(x) e−u(x) dx.=-\int\sum_{i,j}(\nabla^2u(x))^{-1}_{ij}\,\partial_i\eta(x)\,\partial_jw(x)\,e^{-u(x)}\,dx.=−∫i,j∑​(∇2u(x))ij−1​∂i​η(x)∂j​w(x)e−u(x)dx.

This is a supporting weak integration-by-parts formula; it does not assert a KLS bound or additional regularity of uuu or www.

Original Lean declaration header

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

theorem integral_mul_generator_eq_neg_energy' {n : ℕ} {u V w η : EuclideanSpace ℝ (Fin n) → ℝ}
    (hu : ContDiff ℝ 1 u) {G : NNReal} (hG : LipschitzWith G (gradient u)) (hV : ContDiff ℝ 1 V)
    {LF : NNReal} (hF : LipschitzWith LF (fun x => -u x + V (gradient u x)))
    (hdet : ∀ᵐ x ∂(volume : Measure (EuclideanSpace ℝ (Fin n))),
      (hessianMatrix u x).det = Real.exp (-u x + V (gradient u x)))
    (hw : ContDiff ℝ 1 w) {Gw : NNReal} (hGw : LipschitzWith Gw (gradient w))
    (hη : ContDiff ℝ 2 η) (hηc : HasCompactSupport η) :
    ∫ x, w x * (((hessianMatrix u x)⁻¹ * hessianMatrix η x).trace -
        fderiv ℝ V (gradient u x) (gradient η x)) * Real.exp (-u x)
        ∂(volume : Measure (EuclideanSpace ℝ (Fin n))) =
      -∫ x, (∑ i, ∑ j, (hessianMatrix u x)⁻¹ i j *
          fderiv ℝ η x (EuclideanSpace.basisFun (Fin n) ℝ i) *
          fderiv ℝ w x (EuclideanSpace.basisFun (Fin n) ℝ j)) * Real.exp (-u x)
        ∂(volume : Measure (EuclideanSpace ℝ (Fin n)))

Module navigation

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

Definition modules: Analysis/BakryEmery/HessianOperator, Analysis/Operator/Coordinates.

Supporting theorems: integrable_inv_hessianMatrix_mul_of_bounded_compact, assemble_generator, smooth_test_derivative.

Previous: integral_mul_generator_eq_neg_energy · Next: integrable_weak_generator_densities.

Source excerpt, lines 798–811 · Frozen source 408915f.

Preamble
import Definitions.Def_KLSModular_FunctionalInequalities_Analysis_BakryEmery_IntegrationByParts_InverseHessian_Weak

open MeasureTheory Set Filter
open FunctionalInequalities.Probability.Stein
Formal statement

theorem FunctionalInequalities.Analysis.integral_mul_generator_eq_neg_energy_prime_readable {n : ℕ} {u V w η : EuclideanSpace ℝ (Fin n) → ℝ}
    (hu : ContDiff ℝ 1 u) {G : NNReal} (hG : LipschitzWith G (gradient u)) (hV : ContDiff ℝ 1 V)
    {LF : NNReal} (hF : LipschitzWith LF (fun x => -u x + V (gradient u x)))
    (hdet : ∀ᵐ x ∂(volume : Measure (EuclideanSpace ℝ (Fin n))),
      (hessianMatrix u x).det = Real.exp (-u x + V (gradient u x)))
    (hw : ContDiff ℝ 1 w) {Gw : NNReal} (hGw : LipschitzWith Gw (gradient w))
    (hη : ContDiff ℝ 2 η) (hηc : HasCompactSupport η) :
    ∫ x, w x * (((hessianMatrix u x)⁻¹ * hessianMatrix η x).trace -
        fderiv ℝ V (gradient u x) (gradient η x)) * Real.exp (-u x)
        ∂(volume : Measure (EuclideanSpace ℝ (Fin n))) =
      -∫ x, (∑ i, ∑ j, (hessianMatrix u x)⁻¹ i j *
          fderiv ℝ η x (EuclideanSpace.basisFun (Fin n) ℝ i) *
          fderiv ℝ w x (EuclideanSpace.basisFun (Fin n) ℝ j)) * Real.exp (-u x)
        ∂(volume : Measure (EuclideanSpace ℝ (Fin n))) := by sorry
Source
Source: Letwin, The KLS constant is O(log^(1/4) n) (arXiv:2607.24164v1), Theorem 2.5. Lean source: https://github.com/human-ai-mathematics/kls-lean/blob/408915f/formalization/FunctionalInequalities/Analysis/BakryEmery/IntegrationByParts/InverseHessian/Weak.lean#L797-L847 (repository human-ai-mathematics/kls-lean, commit 408915f, module `FunctionalInequalities.Analysis.BakryEmery.IntegrationByParts.InverseHessian.Weak`, declaration `FunctionalInequalities.Analysis.integral_mul_generator_eq_neg_energy'`; the repository is private at upload time).

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