MOST TRANSIENT RANDOM WALKS HAVE INFINITELY MANY CUT TIMES
成果类型:
Article
署名作者:
Halberstam, Noah; Hutchcroft, Tom
署名单位:
University of Cambridge; California Institute of Technology
刊物名称:
ANNALS OF PROBABILITY
ISSN/ISSBN:
0091-1798
DOI:
10.1214/23-AOP1636
发表日期:
2023
页码:
1932-1962
关键词:
nonintersection exponents
brownian paths
recurrence
cutpoints
FORMULA
摘要:
We prove that if (X-n)(n >= 0) is a random walk on a transient graph such that the Green's function decays at least polynomially along the random walk, then (X-n)(n >= 0) has infinitely many cut times almost surely. This condition applies in particular to any graph of spectral dimension strictly larger than 2. In fact, our proof applies to general (possibly nonreversible) Markov chains satisfying a similar decay condition for the Green's function that is sharp for birth-death chains. We deduce that a conjecture of Diaconis and Freedman (Ann. Probab. 8 (1980) 115-130) holds for the same class of Markov chains, and resolve a conjecture of Benjamini, Gurel-Gurevich, and Schramm (Ann. Probab. 39 (2011) 1122-1136) on the existence of infinitely many cut times for random walks of positive speed.