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We show a stability result for the recently established Brunn--Minkowski inequality in compact simple Lie groups. Namely, we prove that if two compact subsets $A, B$ of a compact simple Lie group $G$ satisfy $$ \mu(AB)^{1/d'} \leq (1 +…

Group Theory · Mathematics 2025-04-02 Simon Machado

We study the connection between the concavity properties of a measure $\nu$ and the convexity properties of the associated relative entropy $D(\cdot \Vert \nu)$ along optimal transport. As a corollary we prove a new dimensional…

Metric Geometry · Mathematics 2026-03-24 Gautam Aishwarya , Liran Rotem

While studying set function properties of Lebesgue measure, F. Barthe and M. Madiman proved that Lebesgue measure is fractionally superadditive on compact sets in $\mathbb{R}^n$. In doing this they proved a fractional generalization of the…

Metric Geometry · Mathematics 2024-05-31 Mark Meyer

We prove a sharp stability result concerning how close homothetic sets attaining near-equality in the Brunn-Minkowski inequality are to being convex. In particular, resolving a conjecture of Figalli and Jerison, we show there are universal…

Metric Geometry · Mathematics 2020-04-17 Peter van Hintum , Hunter Spink , Marius Tiba

Given one metric measure space $X$ satisfying a linear Brunn-Minkowski inequality, and a second one $Y$ satisfying a Brunn-Minkowski inequality with exponent $p\ge -1$, we prove that the product $X\times Y$ with the standard product…

Metric Geometry · Mathematics 2017-05-05 Manuel Ritoré , Jesús Yepes Nicolás

The Brunn-Minkowski inequality, applicable to bounded measurable sets $A$ and $B$ in $\mathbb{R}^d$, states that $|A+B|^{1/d} \geq |A|^{1/d}+|B|^{1/d}$. Equality is achieved if and only if $A$ and $B$ are convex and homothetic sets in…

Analysis of PDEs · Mathematics 2024-07-16 Alessio Figalli , Peter van Hintum , Marius Tiba

In "Weighted Brunn-Minkowski Theory I", the prequel to this work, we discussed how recent developments on concavity of measures have laid the foundations of a nascent weighted Brunn-Minkowski theory. In particular, we defined the mixed…

Functional Analysis · Mathematics 2026-03-02 Matthieu Fradelizi , Dylan Langharst , Mokshay Madiman , Artem Zvavitch

The present paper deals with the problem of computing (or at least estimating) the LW-number $\lambda(n)$, i.e., the supremum of all $\gamma$ such that for each convex body $K$ in $\mathbb{R}^n$ there exists an orthonormal basis…

Metric Geometry · Mathematics 2017-07-26 Stefano Campi , Peter Gritzmann , Paolo Gronchi

In this paper, we are interested in Gaussian versions of the classical Brunn-Minkowski inequality. We prove in a streamlined way a semigroup version of the Ehrard inequality for $m$ Borel or convex sets based on a previous work by Borell.…

Probability · Mathematics 2009-07-09 Franck Barthe , Nolwen Huet

We fuse between the Rogers-Shephard inequality for the Lebesgue measure and Royen's Gaussian Correlation Inequality, simultaneously extending both into a single sharp inequality for the Gaussian measure $\gamma$ on $\mathbb{R}^n$, stating…

Functional Analysis · Mathematics 2026-02-10 Emanuel Milman , Shohei Nakamura , Hiroshi Tsuji

In this paper, we show that if $L_p$ Gaussian surface area measure is proportional to the spherical Lebesgue measure, then the corresponding convex body has to be a centered disk when $p\in[0,1)$. Moreover, we investigate $C^0$ estimate of…

Analysis of PDEs · Mathematics 2025-10-14 Weiru Liu

We give the counter-examples related to a Gaussian Brunn-Minkowski inequality and the (B) conjecture.

Probability · Mathematics 2013-09-05 Piotr Nayar , Tomasz Tkocz

We prove that an approximated version of the Brunn--Minkowski inequality with volume distortion coefficient implies a Gaussian concentration-of-measure phenomenon. Our main theorem is applicable to discrete spaces.

Differential Geometry · Mathematics 2008-05-08 Masayoshi Watanabe

The Matrix Spencer Conjecture asks whether given $n$ symmetric matrices in $\mathbb{R}^{n \times n}$ with eigenvalues in $[-1,1]$ one can always find signs so that their signed sum has singular values bounded by $O(\sqrt{n})$. The standard…

Data Structures and Algorithms · Computer Science 2019-11-01 Victor Reis , Thomas Rothvoss

We give a systematic and thorough study of geometric notions and results connected to Minkowski's measure of symmetry and the extension of the well-known Minkowski functional to arbitrary, not necessarily symmetric convex bodies K on any…

Classical Analysis and ODEs · Mathematics 2007-05-23 Szilard Gy. Revesz

We prove the following theorem. Let $\mu$ be a measure on $R^n$ with even continuous density, and let $K,L$ be origin-symmetric convex bodies in $R^n$ so that $\mu(K\cap H)\le \mu(L\cap H)$ for any central hyperplane H. Then $\mu(K)\le…

Functional Analysis · Mathematics 2014-05-22 Alexander Koldobsky , Artem Zvavitch

Let $K$ be an isotropic symmetric convex body in ${\mathbb R}^n$. We show that a subspace $F\in G_{n,n-k}$ of codimension $k=\gamma n$, where $\gamma\in (1/\sqrt{n},1)$, satisfies $$K\cap F\subseteq \frac{c}{\gamma }\sqrt{n}L_K (B_2^n\cap…

Metric Geometry · Mathematics 2016-09-29 Apostolos Giannopoulos , Labrini Hioni , Antonis Tsolomitis

In this paper we show that, if an increasing sequence $\Lambda=(\lambda_k)_{k\in\mathbb{Z}}$ has gaps going to infinity $\lambda_{k+1}-\lambda_k\to +\infty$ when $k\to\pm\infty$, then for every $T>0$ and every sequence…

Classical Analysis and ODEs · Mathematics 2024-09-12 Philippe Jaming , Karim Kellay , Chadi Saba , Yunlei Wang

We derive quantitative stability results for Minkowski bodies, as well as their counterparts, the $L_p$-Minkowski bodies in the range $1 \le p \neq n$. We prove that, for every pair of probability measures $\mu,\nu$ satisfying a…

Analysis of PDEs · Mathematics 2026-05-14 Károly Böröczky , João Miguel Machado , João P. G. Ramos

An important theorem of Banaszczyk (Random Structures & Algorithms `98) states that for any sequence of vectors of $\ell_2$ norm at most $1/5$ and any convex body $K$ of Gaussian measure $1/2$ in $\mathbb{R}^n$, there exists a signed…

Data Structures and Algorithms · Computer Science 2016-12-14 Daniel Dadush , Shashwat Garg , Shachar Lovett , Aleksandar Nikolov