Concentration of measure on spheres and related manifolds

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Authors: Friedrich Götze, Holger Sambale
Cited by: 0
References: 29

Abstract

We study various generalizations of concentration of measure on the unit sphere, in particular by means of log-Sobolev inequalities. First, we show Sudakov-type concentration results and local semicircular laws for weighted random matrices. A further branch addresses higher order concentration (i. e., concentration for non-Lipschitz functions which have bounded derivatives of higher order) for ℓpn-spheres. This is based on a type of generalized log-Sobolev inqualities referred to as LSq-inequalities. More generally, we prove higher order concentration bounds for probability measures on Rn which satisfy an LSq-inequality. Finally, we derive concentration bounds for sequences of smooth symmetric functions on the Euclidean sphere which are closely related to Edgeworth-type expansions.

Fields of Study & Subjects

Random Matrices and Applications Geometric Analysis and Curvature Flows Probability and Statistical Research

Publication details

Journal / source
Electronic Journal of Probability
Volume
31
Issue
none
Pages
1–39
Publication date
1 January 2026
Language
EN