摘要
引入了渐近循环马氏链的概念,它是循环马氏链概念的推广.首先研究了在强遍历的条件下,可列循环马氏链的收敛速度,作为主要结论给出了当满足不同条件时可列渐近循环马氏链的C-强遍历性。
In this paper, we introduce the definition of asymptotic circular Markov chains, it is an extension of the definition of circular Markov chains. In this paper fist studied the convergence rate of the countable circular Markov chains under the condition of strong ergodic. As main condusion; we discusses the C-strong ergodicity, the uniformly C-Strong ergodicity and the rate of convergence in ceasaro sense for countable asymptotic circular Markov chains under different conditions.
出处
《数学的实践与认识》
CSCD
北大核心
2014年第16期241-248,共8页
Mathematics in Practice and Theory
基金
国家自然科学基金(11071104
11226210)
江苏大学高级人才启动基金(11JDG116)
关键词
渐近循环马氏链
C-强遍历
常数随机矩阵
asymptotic circular Markov chains
C-strong ergodic
cOnstant stochastic matrix
