MARKOV-CHAINS INDEXED BY TREES
成果类型:
Article
署名作者:
BENJAMINI, I; PERES, Y
署名单位:
Yale University
刊物名称:
ANNALS OF PROBABILITY
ISSN/ISSBN:
0091-1798
DOI:
10.1214/aop/1176988857
发表日期:
1994
页码:
219-243
关键词:
random-walks
percolation
capacity
摘要:
We study a variant of branching Markov chains in which the branching is governed by a fixed deterministic tree T rather than a Galton-Watson process. Sample path properties of these chains are determined by an interplay of the tree structure and the transition probabilities. For instance, there exists an infinite path in T with a bounded trajectory iff the Hausdorff dimension of T is greater than log(1/rho) where rho is the spectral radius of the transition matrix.