摘要
本文给出了随机环境中马氏链各种状态的定义,研究了各种状态之间的关系,给出了状态空间的一个划分;同时研究了各状态的性质,最后举例说明了所给状态定义的合理性.
In this paper, various concepts of states for Markov chains in random environments are introduced into the research field, and the relationships between these states are discussed. Especially, a partition of the state space is given. Also, the properties of those states are investigated. At last, some examples are given to illustrate the rationality of those states.
出处
《应用概率统计》
CSCD
北大核心
2016年第3期279-289,共11页
Chinese Journal of Applied Probability and Statistics
基金
国家自然科学基金(11171044)
湖南省教育厅科研项目(15C0280)
湖南第一师范学院课题(XYS14N03)资助
关键词
马氏链
常返
暂留
中性
可达
Markov chains
recurrent
transient
neutral
accessible
