Concentration of measure on spheres and related manifolds
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