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One-dimensional Gaussian logarithmic Sobolev inequality: Entγ(g2)≤2∫(g′)2 dγ\mathrm{Ent}_\gamma(g^2)\le 2\int (g')^2\,d\gammaEntγ​(g2)≤2∫(g′)2dγ for C1C^1C1 functions g:R→Rg:\mathbb{R}\to\mathbb{R}g:R→R

Proved
GaussianMatrix.gaussian_logsobolev_one_dim

by tc · Oct 9, 2026 · Mathlib 0df444a (Lean v4.33.1)

entropyfunctional-inequalitygaussiangrosslog-sobolev

Let γ=N(0,1)\gamma = N(0,1)γ=N(0,1) be the standard Gaussian measure on R\mathbb{R}R. Let g:R→Rg : \mathbb{R} \to \mathbb{R}g:R→R be continuously differentiable, and assume that g2g^2g2, g2log⁡g2g^2 \log g^2g2logg2 and (g′)2(g')^2(g′)2 are γ\gammaγ-integrable (with the convention 0log⁡0=00 \log 0 = 00log0=0). Then

∫g2log⁡g2 dγ  −  (∫g2 dγ)log⁡(∫g2 dγ)  ≤  2∫(g′)2 dγ.\int g^2 \log g^2 \, d\gamma \;-\; \Big(\int g^2\, d\gamma\Big) \log\Big(\int g^2 \, d\gamma\Big) \;\le\; 2 \int (g')^2 \, d\gamma .∫g2logg2dγ−(∫g2dγ)log(∫g2dγ)≤2∫(g′)2dγ.

The left-hand side is the entropy Entγ(g2)\mathrm{Ent}_\gamma(g^2)Entγ​(g2) of the nonnegative function g2g^2g2.

This is Gross's logarithmic Sobolev inequality for the Gaussian measure in dimension one, with the sharp constant 222. Together with the tensorization of entropy it yields the inequality on Rι\mathbb{R}^\iotaRι (gaussian_logsobolev), which in turn gives the entropy bound Ent(esf)≤s2L22Eesf\mathrm{Ent}(e^{sf}) \le \tfrac{s^2L^2}{2}\mathbb{E}e^{sf}Ent(esf)≤2s2L2​Eesf for Lipschitz fff used in Herbst's argument. It is the only analytic input of the whole chain that is not elementary.

Formalization Note. The derivative is deriv g, and C1C^1C1 is ContDiff ℝ 1 g. The integrability hypotheses guarantee that all Bochner integrals in the statement are the true (finite) integrals; Real.log 0 = 0 matches the convention 0log⁡0=00\log 0 = 00log0=0. The hypotheses on g2g^2g2 and g2log⁡g2g^2\log g^2g2logg2 are in fact consequences of the others (Gaussian Poincaré inequality and the inequality itself) but are included to keep the statement transparent. Constant ggg gives 0≤00 \le 00≤0.

Preamble
import Definitions.Def_GaussianMatrix_basic

open MeasureTheory ProbabilityTheory
open scoped Matrix
Formal statement
namespace GaussianMatrix

theorem gaussian_logsobolev_one_dim (g : ℝ → ℝ) (hg : ContDiff ℝ 1 g)
    (hg2 : Integrable (fun t => g t ^ 2) (gaussianReal 0 1))
    (hglog : Integrable (fun t => g t ^ 2 * Real.log (g t ^ 2)) (gaussianReal 0 1))
    (hdg : Integrable (fun t => deriv g t ^ 2) (gaussianReal 0 1)) :
    ∫ t, g t ^ 2 * Real.log (g t ^ 2) ∂(gaussianReal 0 1)
      - (∫ t, g t ^ 2 ∂(gaussianReal 0 1)) * Real.log (∫ t, g t ^ 2 ∂(gaussianReal 0 1))
      ≤ 2 * ∫ t, deriv g t ^ 2 ∂(gaussianReal 0 1) := by
  sorry

end GaussianMatrix
Source
L. Gross, Logarithmic Sobolev inequalities, Amer. J. Math. 97 (1975), 1061–1083 (Gaussian case, proved via the two-point inequality and the central limit theorem); S. Boucheron, G. Lugosi, P. Massart, Concentration Inequalities (Oxford Univ. Press, 2013), Theorem 5.4 (Gaussian logarithmic Sobolev inequality), case n=1n = 1n=1; M. Ledoux, The Concentration of Measure Phenomenon (AMS, 2001), §5.1, inequality (5.1) / Theorem 5.1. Theorem and equation numbers are cited from memory and should be checked.

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