CUTOFF FOR RANDOM LIFTS OF WEIGHTED GRAPHS
成果类型:
Article
署名作者:
Conchon-Kerjan, Guillaume
署名单位:
Universite Paris Cite
刊物名称:
ANNALS OF PROBABILITY
ISSN/ISSBN:
0091-1798
DOI:
10.1214/21-AOP1534
发表日期:
2022
页码:
304-338
关键词:
random-walks
Random Permutation
摘要:
We prove the cutoff phenomenon for the random walk on random n-lifts of finite weighted graphs, even when the random walk on the base graph c of the lift is not reversible. The mixing time is w.h.p. t(mix) = h(-1) log n, where h is a constant associated to G, namely the entropy of its universal cover. Moreover, this mixing time is the smallest possible among all n-lifts of G. In the particular case where the base graph is a vertex with d/2 loops, d even, we obtain a cutoff for a d-regular random graph, as did Lubetzky and Sly in (Duke Math. J. 153 (2010) 475-510) (with a slightly different distribution on d-regular graphs, but the mixing time is the same).