D Langharst, M Roysdon… - Proceedings of the …, 2022 - Wiley Online Library
The inequalities of Petty and Zhang are affine isoperimetric‐type inequalities providing sharp bounds for Vol nn− 1 (K) Vol n (Π∘ K) \rmVol^n-1_n(K)\rmVol_n(Π^∘K), where Π K …
M Fradelizi, D Langharst, M Madiman… - Journal of Mathematical …, 2024 - Elsevier
Abstract The Brunn-Minkowski theory in convex geometry concerns, among other things, the volumes, mixed volumes, and surface area measures of convex bodies. We study …
On the stability of Brunn–Minkowski type inequalities - ScienceDirect Skip to main contentSkip to article Elsevier logo Journals & Books Search RegisterSign in View PDF Download full …
GV Livshyts - Advances in Mathematics, 2019 - Elsevier
Minkowski's Theorem asserts that every centered measure on the sphere which is not concentrated on a great subsphere is the surface area measure of some convex body, and …
J Hosle, AV Kolesnikov, GV Livshyts - The Journal of Geometric Analysis, 2021 - Springer
We study several of the recent conjectures in regards to the role of symmetry in the inequalities of Brunn–Minkowski type, such as the L_p L p-Brunn–Minkowski conjecture of …
G Livshyts - Transactions of the American Mathematical Society, 2024 - ams.org
We formulate a plausible conjecture for the optimal Ehrhard-type inequality for convex symmetric sets with respect to the Gaussian measure. Namely, letting $ J_ {k-1}(s)=\int^ s_0 …
D Wu - Advances in Applied Mathematics, 2017 - Elsevier
In this paper we extend the concepts of L p-mixed volumes and L p-surface area measures to L p-mixed μ-measures and L p-surface μ-area measures, respectively, for a measure μ on …
G Livshyts - Transactions of the American Mathematical Society, 2023 - ams.org
We show that for any even log-concave probability measure $\mu $ on $\mathbb {R}^ n $, any pair of symmetric convex sets $ K $ and $ L $, and any $\lambda\in [0, 1] $,\begin …
GV Livshyts - Communications in Contemporary Mathematics, 2021 - World Scientific
In this note, we study the maximal perimeter of a convex set in ℝ n with respect to various classes of measures. Firstly, we show that for a probability measure μ on ℝ n, satisfying very …