English
Related papers

Related papers: An inequality for moments of log-concave functions…

200 papers

In this survey, we consider the sharp Sobolev inequality in convex cones. We also prove it by using the optimal transport technique. Then we present some results related to the Euler-Lagrange equation of the Sobolev inequality: the…

Analysis of PDEs · Mathematics 2022-09-28 Alberto Roncoroni

We give here a simple proof of weighted logarithmic Sobolev inequality, for example for Cauchy type measures, with optimal weight, sharpening results of Bobkov-Ledoux. Some consequences are also discussed.

Probability · Mathematics 2010-07-26 Patrick Cattiaux , Arnaud Guillin , Liming Wu

We prove that the (B) conjecture and the Gardner-Zvavitch conjecture are true for all log-concave measures that are rotationally invariant, extending previous results known for Gaussian measures. Actually, our result apply beyond the case…

Metric Geometry · Mathematics 2022-10-03 Dario Cordero-Erausquin , Liran Rotem

In this note we establish some rigidity and stability results for Caffarelli's log-concave perturbation theorem. As an application we show that if a 1-log-concave measure has almost the same Poincar\'e constant as the Gaussian measure, then…

Analysis of PDEs · Mathematics 2016-06-01 Guido De Philippis , Alessio Figalli

We prove a sharp quantitative version for the stability of the Sobolev inequality with explicit constants. Moreover, the constants have the correct behavior in the limit of large dimensions, which allows us to deduce an optimal quantitative…

Analysis of PDEs · Mathematics 2025-04-02 Jean Dolbeault , Maria J. Esteban , Alessio Figalli , Rupert L. Frank , Michael Loss

Extending results of Harg{\'e} and Hu for the Gaussian measure, we prove inequalities for the covariance Cov$_\mu(f, g)$ where $\mu$ is a general product probability measure on $\mathbb{R}^d$ and $f,g: \mathbb{R}^d \to \mathbb{R}$ satisfy…

Probability · Mathematics 2023-02-13 Michel Bonnefont , Erwan Hillion , Adrien Saumard

The purpose of this short note is to demonstrate uniform logarithmic Sobolev inequalities for the mean field gradient particle systems associated to an energy functional that is convex in the flat sense. A defective log-Sobolev inequality…

Probability · Mathematics 2024-08-13 Songbo Wang

Let $\mu$ and $\nu$ be two probability measures on $\R^d$, where $\mu(\d x)= \e^{-V(x)}\d x$ for some $V\in C^1(\R^d)$. Explicit sufficient conditions on $V$ and $\nu$ are presented such that $\mu*\nu$ satisfies the log-Sobolev, Poincar\'e…

Probability · Mathematics 2015-01-27 Feng-Yu Wang , Jian Wang

We prove an intrinsic equivalence between strong hypercontractivity and a strong logarithmic Sobolev inequality for the cone of logarithmically subharmonic functions. We introduce a new large class of measures, Euclidean regular and…

Functional Analysis · Mathematics 2019-08-15 Piotr Graczyk , Todd Kemp , Jean-Jacques Loeb

We provide a mild sufficient condition for a probability measure on the real line to satisfy a modified log-Sobolev inequality for convex functions, interpolating between the classical log-Sobolev inequality and a Bobkov-Ledoux type…

Probability · Mathematics 2016-08-08 Radosław Adamczak , Michał Strzelecki

We prove that in the context of general Markov semigroups Beckner inequalities with constants separated from zero as $p\to 1^+$ are equivalent to the modified log Sobolev inequality (previously only one implication was known to hold in this…

Probability · Mathematics 2022-02-02 Radosław Adamczak , Bartłomiej Polaczyk , Michał Strzelecki

By using optimal mass transport theory, we provide a direct proof to the sharp $L^p$-log-Sobolev inequality $(p\geq 1)$ involving a log-concave homogeneous weight on an open convex cone $E\subseteq \mathbb R^n$. The perk of this proof is…

Analysis of PDEs · Mathematics 2024-02-22 Zoltán M. Balogh , Sebastiano Don , Alexandru Kristály

In this paper we prove different functional inequalities extending the classical Rogers-Shephard inequalities for convex bodies. The original inequalities provide an optimal relation between the volume of a convex body and the volume of…

Functional Analysis · Mathematics 2016-09-14 David Alonso-Gutiérrez , Bernardo González Merino , C. Hugo Jiménez , Rafael Villa

We show that every symmetric random variable with log-concave tails satisfies the convex infimum convolution inequality with an optimal cost function (up to scaling). As a result, we obtain nearly optimal comparison of weak and strong…

Probability · Mathematics 2021-05-18 Marta Strzelecka , Michał Strzelecki , Tomasz Tkocz

We investigate a convexity properties for normalized log moment generating function continuing a recent investigation of Chen of convex images of Gaussians. We show that any variable satisfying a ``Ehrhard-like'' property for its…

Probability · Mathematics 2025-10-09 Maite Fernández-Unzueta , James Melbourne , Gerardo Palafox-Castillo

We show that the convolution of a compactly supported measure on $\mathbb{R}$ with a Gaussian measure satisfies a logarithmic Sobolev inequality (LSI). We use this result to give a new proof of a classical result in random matrix theory…

Probability · Mathematics 2014-11-07 David Zimmermann

We study how well moments of sums of independent symmetric random variables with logarithmically concave tails may be approximated by moments of Gaussian random variables.

Probability · Mathematics 2011-04-05 Rafał Latała

We provide extensions of geometric inequalities about sections and projections of convex bodies to the setting of integrable log-concave functions. Namely, we consider suitable generalizations of the affine and dual affine quermassintegrals…

Metric Geometry · Mathematics 2026-03-03 Natalia Tziotziou

We study a class of logarithmic Sobolev inequalities with a general form of the energy functional. The class generalizes various examples of modified logarithmic Sobolev inequalities considered previously in the literature. Refining a…

Probability · Mathematics 2015-09-28 Radosław Adamczak , Witold Bednorz , Paweł Wolff

We prove a log-Sobolev inequality for a certain class of log-concave measures in high dimension. These are the probability measures supported on the unit cube in R^n whose density takes the form exp(-H) where the function H is assumed to be…

Metric Geometry · Mathematics 2012-12-18 Bo'az Klartag