Tight bounds for mixing of the Swendsen-Wang algorithm at the Potts transition point

成果类型:
Article
署名作者:
Borgs, Christian; Chayes, Jennifer T.; Tetali, Prasad
署名单位:
University System of Georgia; Georgia Institute of Technology; University System of Georgia; Georgia Institute of Technology; Microsoft
刊物名称:
PROBABILITY THEORY AND RELATED FIELDS
ISSN/ISSBN:
0178-8051
DOI:
10.1007/s00440-010-0329-0
发表日期:
2012
页码:
509-557
关键词:
phase-diagrams DYNAMICS systems MODEL
摘要:
We study two widely used algorithms for the Potts model on rectangular subsets of the hypercubic lattice Z(d)-heat bath dynamics and the Swendsen-Wang algorithm-and prove that, under certain circumstances, the mixing in these algorithms is torpid or slow. In particular, we show that for heat bath dynamics throughout the region of phase coexistence, and for the Swendsen-Wang algorithm at the transition point, the mixing time in a box of side length L with periodic boundary conditions has upper and lower bounds which are exponential in Ld-1. This work provides the first upper bound of this form for the Swendsen-Wang algorithm, and gives lower bounds for both algorithms which significantly improve the previous lower bounds that were exponential in L/(log L)(2).