MERGING FOR INHOMOGENEOUS FINITE MARKOV CHAINS, PART II: NASH AND LOG-SOBOLEV INEQUALITIES

成果类型:
Article
署名作者:
Saloff-Coste, L.; Zuniga, J.
署名单位:
Cornell University; Stanford University
刊物名称:
ANNALS OF PROBABILITY
ISSN/ISSBN:
0091-1798
DOI:
10.1214/10-AOP572
发表日期:
2011
页码:
1161-1203
关键词:
random-walks ergodicity CONVERGENCE PRODUCTS models
摘要:
We study time-inhomogeneous Markov chains with finite state spaces using Nash and logarithmic-Sobolev inequalities, and the notion of c-stability. We develop the basic theory of such functional inequalities in the time-inhomogeneous context and provide illustrating examples.
来源URL: