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一类有限非齐次马氏链的强大数定律 被引量:1

Strong Law of Large Numbers for Finite Non-homogeneous Markov Chains
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摘要 研究一类有限非齐次马氏链的强大数定律,通过改进已有条件,得到了一类关于状态及状态序偶出现频率、熵密度、平均随机条件熵的强大数定律,推广了已有结果。 Mainly study the strong law of large numbers for finite non-homogeneous Markov chains. By improving the original condition,obtain the strong law of large numbers on the frequencies of occurrence of states and ordered couples of states,relative entropy density,average random conditional entropy for finite non-homogeneous Markov chains. The result generalizes the former result.
作者 许华
出处 《安徽工业大学学报(自然科学版)》 CAS 2008年第1期91-95,共5页 Journal of Anhui University of Technology(Natural Science)
基金 国家自然科学基金资助项目(10571076)
关键词 有限非齐次马氏链 熵密度 平均随机条件熵 强大数定律 finite non-homogeneous relative entropy density average random conditional entropy strong law of large numbers
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