English

Bernstein type's concentration inequalities for symmetric Markov processes

Probability 2010-02-11 v2

Abstract

Using the method of transportation-information inequality introduced in \cite{GLWY}, we establish Bernstein type's concentration inequalities for empirical means 1t0tg(Xs)ds\frac 1t \int_0^t g(X_s)ds where gg is a unbounded observable of the symmetric Markov process (Xt)(X_t). Three approaches are proposed : functional inequalities approach ; Lyapunov function method ; and an approach through the Lipschitzian norm of the solution to the Poisson equation. Several applications and examples are studied.

Keywords

Cite

@article{arxiv.1002.2163,
  title  = {Bernstein type's concentration inequalities for symmetric Markov processes},
  author = {Fuqing Gao and Arnaud Guillin and Liming Wu},
  journal= {arXiv preprint arXiv:1002.2163},
  year   = {2010}
}
R2 v1 2026-06-21T14:45:40.500Z