摘要
首先给出了一些概率特征函数,得到这些函数之间的一些关系;首次引入了有界可达、弱有界可达、有界一致可达等概念,讨论了它们之间的相互关系;给出了弱有界可达的几个充分条件.
First of an, the author introduces several basic functions of the probability character for Markov chains in random environments, and obtains several relations among these functions. Several concepts that x leads to y are introduced and their properties are discussed and then several sufficient conditions that state x leads to y with weak boundary are given.
出处
《重庆工商大学学报（自然科学版）》
2006年第6期545-547,共3页
Journal of Chongqing Technology and Business University:Natural Science Edition
基金
安徽省自然科学基金(2003kj165)
关键词
绕积马氏链
状态分类
随机环境马氏链
可达
skew Product Markov Chains
state classification
Markov Chains in random environments
attainability
