The Brunn-Minkowski inequality for the generalized Gaussian distribution

Fuente: arXiv
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Main Authors: Xiong, Ge, Yang, Kai-Wen
Format: Preprint
Published: 2026
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author Xiong, Ge
Yang, Kai-Wen
author_facet Xiong, Ge
Yang, Kai-Wen
contents Let $μ_p$ be the generalized Gaussian distribution on $\mathbb{R}^n$ with density $e^{-\frac{|x|^p}{p}}$ multiplied by a constant depending on $p\ge 1$ and $n$, and $α_p(n)$ be the largest number such that the Brunn-Minkowski type inequality $$μ_p(λK+(1-λ) L)^{α_p(n)} \geq λμ_p(K)^{α_p(n)}+(1-λ) μ_p(L)^{α_p(n)}$$ holds for all convex bodies $K,L$ in $\mathbb{R}^n$ containing the origin and $λ\in[0,1]$. In this paper, the new lower and upper bounds for $α_p(n)$ are found, and their asymptotically optimality as $n\to +\infty$ is proved.
format Preprint
id arxiv_https___arxiv_org_abs_2605_24472
institution arXiv
publishDate 2026
record_format arxiv
spellingShingle The Brunn-Minkowski inequality for the generalized Gaussian distribution
Xiong, Ge
Yang, Kai-Wen
Metric Geometry
Probability
52A40, 60E15
Let $μ_p$ be the generalized Gaussian distribution on $\mathbb{R}^n$ with density $e^{-\frac{|x|^p}{p}}$ multiplied by a constant depending on $p\ge 1$ and $n$, and $α_p(n)$ be the largest number such that the Brunn-Minkowski type inequality $$μ_p(λK+(1-λ) L)^{α_p(n)} \geq λμ_p(K)^{α_p(n)}+(1-λ) μ_p(L)^{α_p(n)}$$ holds for all convex bodies $K,L$ in $\mathbb{R}^n$ containing the origin and $λ\in[0,1]$. In this paper, the new lower and upper bounds for $α_p(n)$ are found, and their asymptotically optimality as $n\to +\infty$ is proved.
title The Brunn-Minkowski inequality for the generalized Gaussian distribution
topic Metric Geometry
Probability
52A40, 60E15
url https://arxiv.org/abs/2605.24472