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Foster's theorem : ウィキペディア英語版 | Foster's theorem
In probability theory, Foster's theorem, named after F. G. Foster, is used to draw conclusions about the positive recurrence of Markov chains with countable state spaces. It uses the fact that positive recurrent Markov chains exhibit a notion of "Lyapunov stability" in terms of returning to any state while starting from it within a finite time interval. Consider an aperiodic, irreducible discrete-time Markov chain on a countable state space ''S'' having a transition probability matrix P with elements ''p''''ij'' for pairs ''i'', ''j'' in ''S''. Foster's theorem states that the Markov chain is positive recurrent if and only if there exists a Lyapunov function , such that and # for # for all for some finite set ''F'' and strictly positive ''ε''. ==Related links==
* Lyapunov optimization * Lyapunov function
抄文引用元・出典: フリー百科事典『 ウィキペディア(Wikipedia)』 ■ウィキペディアで「Foster's theorem」の詳細全文を読む
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