摘要
引进连续状态非齐次马氏链绝对平均强遍历的概念,研究连续状态非齐次马氏链满足这种强遍历的一个充分条件,并给出绝对平均强遍历性在马氏决策过程中的应用.
In this paper, We introduce the concept of the absolute mean strong ergodicity of continuous-state nonhomogeneous Markov chains, and study a sufficient condition for nonhomogeneous Markov chains in continuous-state to satisfy such strong ergodicity, and give the application of absolute mean strong ergodicity in Markov decision process.
作者
孙维霞
杨卫国
SUN Wei-xia;YANG Wei-guo(Faculty of Science,Jiangsu University,Zhenjiang 212013,China)
出处
《数学的实践与认识》
北大核心
2019年第1期265-268,共4页
Mathematics in Practice and Theory
基金
国家自然科学基金(11571142)
关键词
连续状态非齐次马氏链
绝对平均强遍历
转移密度
continuous-state nonhomogeneous markov chains
absolute mean strong ergodicity
transfer density