Recurrence Criteria for Skew Products of Symmetric Markov Processes
Recurrence Criteria for Skew Products of Symmetric Markov Processes
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对称马尔可夫过程偏斜积的递归准则
DOI:
10.1515/form.1989.1.331
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发表时间:
1989
期刊:
影响因子:
--
通讯作者:
H. Ôkura
中科院分区:
文献类型:
--
作者:
H. Ôkura
Let M = {A?} (z = 1,2) be two independent recurrent Symmetrie Markov processes and let A (t) be a positive continuous additive functional of M. We will give an integral test for the recurrence of the skew product process M = {(A?*, Α^(ί})}. The test is formulated in terms of "rate functions" of Symmetrie Markov processes and analogous to Tomisaki's test [20]. The proof is based on a generalized Version of a recent result by M. Fukushima and Y. Oshima [7] concerning the expression of the Dirichlet form of the skew product process. 1980 Mathematics Subject Classification (1985 Revision): 60J, 31C25. Introduction Let {Xt} O ' = l » 2 ) be independent conservative Markov processes on locally compact separable metric spaces X (i = l, 2), respectively, and let At be a positive continuous additive functional of {X}*}. Then the process Xt = (X}\ X£} is called the skew product of {Α^} and {X$} with respect to At. Recently, Fukushima and Oshima [7] have determined the Dirichlet forms for skew products of Symmetrie diffusions on smooth manifolds. They have also found that the skew product of recurrent diffusions is recurrent again if either the Revuz measure of At or the speed measure of {X}} is bounded. In the present paper we will give more general quantitative criteria for the recurrence of skew products of Symmetrie Markov processes by introducing the notion of rate functions for recurrent Markov processes. In Section l we will give some preliminary facts on the theory of Symmetrie Markov processes and Dirichlet forms. Recurrence criteria for skew product processes will be established in Section 2, which will then be used in Section 3 to produce several concrete examples of recurrent Markov processes. We will explain the contents more precisely. Let M be an m-symmetric Markov process on X and let (S, &) be its Dirichlet form on L(X9 m). M is defined to be