How often does a Harris recurrent Markov chain recur?
成果类型:
Article
署名作者:
Chen, X
署名单位:
Northwestern University
刊物名称:
ANNALS OF PROBABILITY
ISSN/ISSBN:
0091-1798
DOI:
10.1214/aop/1022677449
发表日期:
1999
页码:
1324-1346
关键词:
iterated logarithm
random-walks
Levy processes
local-times
functionals
deviations
bounds
LAWS
摘要:
Let {X-n}(n greater than or equal to 0) be a Harris recurrent Markov chain with state space (E, E), transition probability P(x, A) and invariant measure pi. Given a nonnegative pi-integrable function f on E, the exact asymptotic order is given for the additive functionals (n)(k=1)Sigma f(X-/e), n=1, 2,... in the forms of both weak and strong convergences. In particular, the frequency of {X-n}(n greater than or equal to 0) visiting a given set A is an element of E with 0 < pi(A) < +infinity is determined by taking f = I-A. Under the regularity assumption, the limits in our theorems are identified. The one- and two-dimensional random walks are taken as the examples of applications.