English

Concentration of measure on spheres and related manifolds

Probability 2024-08-09 v1 Functional Analysis

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 pn\ell_p^n-spheres. This is based on a type of generalized log-Sobolev inqualities referred to as LSq\mathrm{LS}_q-inequalities. More generally, we prove higher order concentration bounds for probability measures on Rn\mathbb{R}^n which satisfy an LSq\mathrm{LS}_q-inequality. Finally, we derive concentration bounds for sequences of smooth symmetric functions on the Euclidean sphere which are closely related to Edgeworth-type expansions.

Keywords

Cite

@article{arxiv.2408.04346,
  title  = {Concentration of measure on spheres and related manifolds},
  author = {Friedrich Götze and Holger Sambale},
  journal= {arXiv preprint arXiv:2408.04346},
  year   = {2024}
}