A universal bound in the dimensional Brunn-Minkowski inequality for log-concave measures

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1. Verfasser: Livshyts, Galyna V.
Format: Preprint
Veröffentlicht: 2021
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author Livshyts, Galyna V.
author_facet Livshyts, Galyna V.
contents We show that for any log-concave measure $μ$ on $\mathbb{R}^n$, any pair of symmetric convex sets $K$ and $L$, and any $λ\in [0,1],$ $$μ((1-λ) K+λL)^{c_n}\geq (1-λ) μ(K)^{c_n}+λμ(L)^{c_n},$$ where $c_n\geq n^{-4-o(1)}.$ This constitutes progress towards the dimensional Brunn-Minkowski conjecture (see Gardner, Zvavitch \cite{GZ}, Colesanti, L, Marsiglietti \cite{CLM}). Moreover, our bound improves for various special classes of log-concave measures.
format Preprint
id arxiv_https___arxiv_org_abs_2107_00095
institution arXiv
publishDate 2021
record_format arxiv
spellingShingle A universal bound in the dimensional Brunn-Minkowski inequality for log-concave measures
Livshyts, Galyna V.
Metric Geometry
Analysis of PDEs
Probability
We show that for any log-concave measure $μ$ on $\mathbb{R}^n$, any pair of symmetric convex sets $K$ and $L$, and any $λ\in [0,1],$ $$μ((1-λ) K+λL)^{c_n}\geq (1-λ) μ(K)^{c_n}+λμ(L)^{c_n},$$ where $c_n\geq n^{-4-o(1)}.$ This constitutes progress towards the dimensional Brunn-Minkowski conjecture (see Gardner, Zvavitch \cite{GZ}, Colesanti, L, Marsiglietti \cite{CLM}). Moreover, our bound improves for various special classes of log-concave measures.
title A universal bound in the dimensional Brunn-Minkowski inequality for log-concave measures
topic Metric Geometry
Analysis of PDEs
Probability
url https://arxiv.org/abs/2107.00095