INFORMATION PERCOLATION AND CUTOFF FOR THE STOCHASTIC ISING MODEL

成果类型:
Article
署名作者:
Lubetzky, Eyal; Sly, Allan
署名单位:
New York University; University of California System; University of California Berkeley
刊物名称:
JOURNAL OF THE AMERICAN MATHEMATICAL SOCIETY
ISSN/ISSBN:
0894-0347
DOI:
10.1090/jams/841
发表日期:
2016
页码:
729-774
关键词:
logarithmic sobolev inequalities finite markov-chains one-phase region glauber dynamics spin systems random-walks lattice equilibrium
来源URL: