A LIMIT LAW FOR THE MOST FAVORITE POINT OF SIMPLE RANDOM WALK ON A REGULAR TREE
成果类型:
Article
署名作者:
Biskup, Marek; Louidor, Oren
署名单位:
University of California System; University of California Los Angeles; Technion Israel Institute of Technology
刊物名称:
ANNALS OF PROBABILITY
ISSN/ISSBN:
0091-1798
DOI:
10.1214/23-AOP1644
发表日期:
2024
页码:
502-544
关键词:
planar brownian-motion
extremal process
level sets
maximum
CONVERGENCE
minimum
times
摘要:
We consider a continuous-time random walk on a regular tree of finite depth and study its favorite points among the leaf vertices. For the walk started from a leaf vertex and stopped upon hitting the root, we prove that, in the limit as the depth of the tree tends to infinity, the suitably scaled and centered maximal time spent at any leaf converges to a randomly-shifted Gumbel law. The random shift is characterized using a derivative-martingale like object associated with square-root local-time process on the tree.
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