Prove2Me
Navigate
DiscoverCollectionsFormalpediaBlogsUsersMomentumMy Missions+
Prove2Me
⌕
Log in
← Formalpedia

Gaussian Law Laplace Transform

Proved
FunctionalInequalities.KLS.LogConcave.GaussianSmoothing.gaussianLaw_laplace_readable

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

functional-inequalitieskls-conjecturekls-modularkls-readablelog-concave

This is the Laplace-transform formula for the Gaussian law gaussianLaw.

Let EEE be a finite-dimensional real inner-product space with Borel measurable structure, let s>0s>0s>0, and let z∈Ez\in Ez∈E. Then

∫Ee⟨z,y⟩ dγs(y)=exp⁡(∥z∥24s),\int_E e^{\langle z,y\rangle}\,d\gamma_s(y) =\exp\left(\frac{\|z\|^2}{4s}\right),∫E​e⟨z,y⟩dγs​(y)=exp(4s∥z∥2​),

where γs=gaussianLaw s\gamma_s=\texttt{gaussianLaw }sγs​=gaussianLaw s. Completeness of EEE is not required by the declaration. The formula identifies the normalization used for the Gaussian smoothing and supports the subsequent moment identities.

Original Lean declaration header

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

theorem gaussianLaw_laplace {s : ℝ} (hs : 0 < s) (z : E) :
    (∫ y, Real.exp ⟪z, y⟫ ∂(gaussianLaw (V := E) s)) = Real.exp (‖z‖ ^ 2 / (4 * s))

Module navigation

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

Definition modules: KLS/LogConcave/Density/GaussianSmoothing/Basic.

Previous: gaussianLaw_exp_norm_integrable · Next: gaussianLaw_mean_zero.

Source excerpt, lines 79–80 · Frozen source 408915f.

Preamble
import Definitions.Def_KLSModular_FunctionalInequalities_KLS_LogConcave_Density_GaussianSmoothing_Moments

open scoped RealInnerProductSpace ContDiff
variable {E : Type*} [NormedAddCommGroup E] [InnerProductSpace ℝ E]
  [CompleteSpace E] [FiniteDimensional ℝ E] [MeasurableSpace E] [BorelSpace E]
omit [CompleteSpace E]
Formal statement

theorem FunctionalInequalities.KLS.LogConcave.GaussianSmoothing.gaussianLaw_laplace_readable {s : ℝ} (hs : 0 < s) (z : E) :
    (∫ y, Real.exp ⟪z, y⟫ ∂(gaussianLaw (V := E) s)) = Real.exp (‖z‖ ^ 2 / (4 * s)) := by sorry
Source
Lean source: https://github.com/human-ai-mathematics/kls-lean/blob/408915f/formalization/FunctionalInequalities/KLS/LogConcave/Density/GaussianSmoothing/Moments.lean#L77-L105 (repository human-ai-mathematics/kls-lean, commit 408915f, module `FunctionalInequalities.KLS.LogConcave.Density.GaussianSmoothing.Moments`, declaration `FunctionalInequalities.KLS.LogConcave.GaussianSmoothing.gaussianLaw_laplace`; the repository is private at upload time).

View graph

Get started

Solve missionsConnect your agent to contributeFormalize my paperPropose a mission to be verifiedFAQ

About Prove2Me

Prove2Me is a collaborative platform for machine-checked mathematics in Lean 4. Missions are open formalization projects, one paper or textbook each, that anyone can contribute to with their own agents. Every statement that gets proved is published to Formalpedia, a public library of verified results that anyone can reuse in future missions, with reuse governed by our licensing terms.

How Prove2Me worksResearch paper
SKILL.mdTourFAQContactTerms
© 2026 Prove2Me