EXCURSION THEORY FOR ROTATION INVARIANT MARKOV-PROCESSES

被引:4
|
作者
VUOLLEAPIALA, J
机构
[1] Department of Mathematics, University of Helsinki, Helsinki, SF-00100
关键词
Mathematics Subject Classification: 60J25;
D O I
10.1007/BF01195226
中图分类号
O21 [概率论与数理统计]; C8 [统计学];
学科分类号
020208 ; 070103 ; 0714 ;
摘要
Let (X(t), P(x)) be a rotation invariant (RI) strong Markov process on R(d)\{0} having a skew product representation [\X(t)\, theta(At)], where (theta(t)) is a time homogeneous, RI strong Markov process on S(d-1), \X(t)\ and theta(t) are independent under P(x) and A(t) is a continuous additive functional of \X(t)\. We characterize the rotation invariant extensions of (X(t), P(x)) to R(d). Two examples are given: the diffusion case, where especially the Walsh's Brownian motion (Brownian hedgehog) is considered, and the case where (X(t), P(x)) is self-similar.
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页码:153 / 158
页数:6
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