Algebraic convergence of Markov chains

成果类型:
Article
署名作者:
Chen, MF; Wang, YZ
署名单位:
Beijing Normal University
刊物名称:
ANNALS OF APPLIED PROBABILITY
ISSN/ISSBN:
1050-5164
发表日期:
2003
页码:
604-627
关键词:
nearest particle-systems
摘要:
Algebraic convergence in the L-2-sense is studied for general time-continuous, reversible Markov chains with countable state space, and especially for birth-death chains. Some criteria for the convergence are presented. The results are effective since the convergence region can be completely covered, as illustrated by two examples.