随机环境中马氏链的状态分类及性质
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  • 英文篇名:The Classification and Properties of States for Markov Chains in Random Environments
  • 作者:李明亮 ; 刘再明
  • 英文作者:LI Mingliang;LIU Zaiming;School of Mathematics and Statistics,Central South University;School of Mathematics and Computational Science,Hunan First Normal University;
  • 关键词:马氏链 ; 常返 ; 暂留 ; 中性 ; 可达
  • 英文关键词:Markov chains;;recurrent;;transient;;neutral;;accessible
  • 中文刊名:YYGN
  • 英文刊名:Chinese Journal of Applied Probability and Statistics
  • 机构:中南大学数学与统计学院;湖南第一师范学院数学与计算科学学院;
  • 出版日期:2016-06-15
  • 出版单位:应用概率统计
  • 年:2016
  • 期:v.32
  • 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
  • 语种:中文;
  • 页:YYGN201603004
  • 页数:11
  • CN:03
  • ISSN:31-1256/O1
  • 分类号:63-73
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.
引文
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