English

Poincar\'e, modified logarithmic Sobolev and isoperimetric inequalities for Markov chains with non-negative Ricci curvature

Probability 2016-12-05 v1 Functional Analysis

Abstract

We study functional inequalities for Markov chains on discrete spaces with entropic Ricci curvature bounded from below. Our main results are that when curvature is non-negative, but not necessarily positive, the spectral gap, the Cheeger isoperimetric constant and the modified logarithmic Sobolev constant of the chain can be bounded from below by a constant that only depends on the diameter of the space, with respect to a suitable metric. These estimates are discrete analogues of classical results of Riemannian geometry obtained by Li and Yau, Buser and Wang.

Keywords

Cite

@article{arxiv.1612.00514,
  title  = {Poincar\'e, modified logarithmic Sobolev and isoperimetric inequalities for Markov chains with non-negative Ricci curvature},
  author = {Matthias Erbar and Max Fathi},
  journal= {arXiv preprint arXiv:1612.00514},
  year   = {2016}
}

Comments

27 pages, comments welcome