English

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

Metric Geometry 2026-05-14 v3 Analysis of PDEs Probability

Abstract

We show that for any log-concave measure μ\mu on Rn\mathbb{R}^n, any pair of symmetric convex sets KK and LL, and any λ[0,1],\lambda\in [0,1], μ((1λ)K+λL)cn(1λ)μ(K)cn+λμ(L)cn,\mu((1-\lambda) K+\lambda L)^{c_n}\geq (1-\lambda) \mu(K)^{c_n}+\lambda\mu(L)^{c_n}, where cnn4o(1).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.

Keywords

Cite

@article{arxiv.2107.00095,
  title  = {A universal bound in the dimensional Brunn-Minkowski inequality for log-concave measures},
  author = {Galyna V. Livshyts},
  journal= {arXiv preprint arXiv:2107.00095},
  year   = {2026}
}

Comments

19 pages; This was initially part of arXiv:2103.11433, but that paper was split into two papers. A minor correction to the exposition was fixed in May 2026. Namely, minor changes were made to Proposition 4.2 and to the argument at the beginning of the proof of Theorem A