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Gaussian Product Source Stein Identity

Proved
FunctionalInequalities.KLS.LogConcave.GaussianSmoothing.gaussian_product_source_stein_identity_readable

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

functional-inequalitieskls-conjecturekls-modularkls-readablelog-concave

This statement combines the affine source identity with the translated Gaussian identity on a product coupling.

Let n∈Nn\in\mathbb Nn∈N, let u,h:Rn→Ru,h:\mathbb R^n\to\mathbb Ru,h:Rn→R be C1C^1C1, with uuu and ∇u∇u∇u globally Lipschitz, and assume ∫e−u=1\int e^{-u}=1∫e−u=1. Let hhh be globally Lipschitz and bounded by CCC, let SSS be continuous linear, let v∈Rnv\in\mathbb R^nv∈Rn, and let s>0s>0s>0. Define

P=(volume⁡.tilted⁡(−u))⊗γs.P=\bigl(\operatorname{volume}.\operatorname{tilted}(-u)\bigr)\otimes\gamma_s.P=(volume.tilted(−u))⊗γs​.

Then the two displayed functions are integrable under PPP, and

∫⟨S(∇u(y))+z,v⟩h(S(∇u(y))+z) dP(y,z)=∫[⟨S∗v,action⁡ ⁣(∇2u(y),S∗∇h(S(∇u(y))+z))⟩+(2s)−1Dvh(S(∇u(y))+z)]dP(y,z).\begin{aligned} &\int \langle S(∇u(y))+z,v\rangle h(S(∇u(y))+z)\,dP(y,z)\\ &=\int \left[\left\langle S^*v,\operatorname{action}\!\left(\nabla^2u(y),S^*∇h(S(∇u(y))+z)\right)\right\rangle +(2s)^{-1}D_vh(S(∇u(y))+z)\right]dP(y,z). \end{aligned}​∫⟨S(∇u(y))+z,v⟩h(S(∇u(y))+z)dP(y,z)=∫[⟨S∗v,action(∇2u(y),S∗∇h(S(∇u(y))+z))⟩+(2s)−1Dv​h(S(∇u(y))+z)]dP(y,z).​

This is the exact product-coupling identity and includes all stated integrability conclusions.

Original Lean declaration header

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

set_option maxHeartbeats 800000 in
theorem gaussian_product_source_stein_identity {n : ℕ}
    {u h : EuclideanSpace ℝ (Fin n) → ℝ} {L G Lh : NNReal}
    (hu : ContDiff ℝ 1 u) (hL : LipschitzWith L u)
    (hG : LipschitzWith G (gradient u))
    (hnorm : (∫ y, Real.exp (-u y) ∂volume) = 1)
    (hh : ContDiff ℝ 1 h) (hhLip : LipschitzWith Lh h)
    (C : ℝ) (hbound : ∀ x, ‖h x‖ ≤ C)
    (S : EuclideanSpace ℝ (Fin n) →L[ℝ] EuclideanSpace ℝ (Fin n))
    (v : EuclideanSpace ℝ (Fin n)) {s : ℝ} (hs : 0 < s) :
    let P := ((volume : Measure (EuclideanSpace ℝ (Fin n))).tilted (-u)).prod
      (FunctionalInequalities.KLS.LogConcave.GaussianSmoothing.gaussianLaw (V := EuclideanSpace ℝ (Fin n)) s)
    Integrable (fun p : EuclideanSpace ℝ (Fin n) × EuclideanSpace ℝ (Fin n) =>
      ⟪S (gradient u p.1) + p.2, v⟫ * h (S (gradient u p.1) + p.2)) P ∧
    Integrable (fun p : EuclideanSpace ℝ (Fin n) × EuclideanSpace ℝ (Fin n) =>
      ⟪S.adjoint v, action (hessianMatrix u p.1)
        (S.adjoint (gradient h (S (gradient u p.1) + p.2)))⟫ +
          (2 * s)⁻¹ * fderiv ℝ h (S (gradient u p.1) + p.2) v) P ∧
    (∫ p : EuclideanSpace ℝ (Fin n) × EuclideanSpace ℝ (Fin n),
      ⟪S (gradient u p.1) + p.2, v⟫ * h (S (gradient u p.1) + p.2) ∂P) =
      ∫ p : EuclideanSpace ℝ (Fin n) × EuclideanSpace ℝ (Fin n),
        ⟪S.adjoint v, action (hessianMatrix u p.1)
          (S.adjoint (gradient h (S (gradient u p.1) + p.2)))⟫ +
            (2 * s)⁻¹ * fderiv ℝ h (S (gradient u p.1) + p.2) v ∂P

Module navigation

Module: KLS/LogConcave/Density/GaussianSmoothing/ProductCoupling.

Definition modules: Analysis/BakryEmery/HessianOperator, KLS/LogConcave/Density/GaussianSmoothing/Basic, Probability/Stein/Kernel.

Supporting theorems: gaussianLaw_translated_directional_identity_of_bounded_lipschitz_test, gaussian_product_source_stein_pairings_integrable, source_affine_stein_identity_of_bounded_lipschitz_test.

Previous: gaussian_product_source_stein_pairings_integrable · Next: gaussian_product_compact_dual_bound.

Source excerpt, lines 124–147 · Frozen source 408915f.

Preamble
import Definitions.Def_KLSModular_FunctionalInequalities_KLS_LogConcave_Density_GaussianSmoothing_ProductCoupling

open MeasureTheory
open FunctionalInequalities.Probability.Stein
open scoped ContDiff RealInnerProductSpace Topology
set_option maxHeartbeats 800000
Formal statement
theorem FunctionalInequalities.KLS.LogConcave.GaussianSmoothing.gaussian_product_source_stein_identity_readable {n : ℕ}
    {u h : EuclideanSpace ℝ (Fin n) → ℝ} {L G Lh : NNReal}
    (hu : ContDiff ℝ 1 u) (hL : LipschitzWith L u)
    (hG : LipschitzWith G (gradient u))
    (hnorm : (∫ y, Real.exp (-u y) ∂volume) = 1)
    (hh : ContDiff ℝ 1 h) (hhLip : LipschitzWith Lh h)
    (C : ℝ) (hbound : ∀ x, ‖h x‖ ≤ C)
    (S : EuclideanSpace ℝ (Fin n) →L[ℝ] EuclideanSpace ℝ (Fin n))
    (v : EuclideanSpace ℝ (Fin n)) {s : ℝ} (hs : 0 < s) :
    let P := ((volume : Measure (EuclideanSpace ℝ (Fin n))).tilted (-u)).prod
      (FunctionalInequalities.KLS.LogConcave.GaussianSmoothing.gaussianLaw (V := EuclideanSpace ℝ (Fin n)) s)
    Integrable (fun p : EuclideanSpace ℝ (Fin n) × EuclideanSpace ℝ (Fin n) =>
      ⟪S (gradient u p.1) + p.2, v⟫ * h (S (gradient u p.1) + p.2)) P ∧
    Integrable (fun p : EuclideanSpace ℝ (Fin n) × EuclideanSpace ℝ (Fin n) =>
      ⟪S.adjoint v, action (hessianMatrix u p.1)
        (S.adjoint (gradient h (S (gradient u p.1) + p.2)))⟫ +
          (2 * s)⁻¹ * fderiv ℝ h (S (gradient u p.1) + p.2) v) P ∧
    (∫ p : EuclideanSpace ℝ (Fin n) × EuclideanSpace ℝ (Fin n),
      ⟪S (gradient u p.1) + p.2, v⟫ * h (S (gradient u p.1) + p.2) ∂P) =
      ∫ p : EuclideanSpace ℝ (Fin n) × EuclideanSpace ℝ (Fin n),
        ⟪S.adjoint v, action (hessianMatrix u p.1)
          (S.adjoint (gradient h (S (gradient u p.1) + p.2)))⟫ +
            (2 * s)⁻¹ * fderiv ℝ h (S (gradient u p.1) + p.2) v ∂P := by sorry
Source
Lean source: https://github.com/human-ai-mathematics/kls-lean/blob/408915f/formalization/FunctionalInequalities/KLS/LogConcave/Density/GaussianSmoothing/ProductCoupling.lean#L124-L194 (repository human-ai-mathematics/kls-lean, commit 408915f, module `FunctionalInequalities.KLS.LogConcave.Density.GaussianSmoothing.ProductCoupling`, declaration `FunctionalInequalities.KLS.LogConcave.GaussianSmoothing.gaussian_product_source_stein_identity`; the repository is private at upload time).

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