EXACT THRESHOLDS FOR ISING-GIBBS SAMPLERS ON GENERAL GRAPHS

• 成果类型: Article
• 署名作者: Mossel, Elchanan; Sly, Allan
• 署名单位: University of California System; University of California Berkeley; University of California System; University of California Berkeley
• 刊物名称: ANNALS OF PROBABILITY
• ISSN/ISSBN: 0091-1798
• DOI: 10.1214/11-AOP737
• 发表日期: 2013
• 页码: 294-328
• 关键词: one-phase region; glauber dynamics; boundary-conditions; spin systems; trees; equilibrium; percolation; MODEL

摘要

We establish tight results for rapid mixing of Gibbs samplers for the Ferromagnetic Ising model on general graphs. We show that if (d - 1) tanh beta < 1, then there exists a constant C such that the discrete time mixing time of Gibbs samplers for the ferromagnetic Ising model on any graph of n vertices and maximal degree d, where all interactions are bounded by beta, and arbitrary external fields are bounded by Cn log n. Moreover, the spectral gap is uniformly bounded away from 0 for all such graphs, as well as for infinite graphs of maximal degree d. We further show that when d tanh beta < 1, with high probability over the Erdos-Renyi random graph G(n, d/n), it holds that the mixing time of Gibbs samplers is n(1+Theta(1/loglog n)). Both results are tight, as it is known that the mixing time for random regular and Erdos-Renyi random graphs is, with high probability, exponential in n when (d - 1) tanh, beta > 1, and d tanh beta > 1, respectively. To our knowledge our results give the first tight sufficient conditions for rapid mixing of spin systems on general graphs. Moreover, our results are the first rigorous results establishing exact thresholds for dynamics on random graphs in terms of spatial thresholds on trees.