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: