RANDOM-CLUSTER DYNAMICS IN Z2: RAPID MIXING WITH GENERAL BOUNDARY CONDITIONS

被引:11
|
作者
Blanca, Antonio [1 ]
Gheissari, Reza [2 ]
Vigoda, Eric [1 ]
机构
[1] Georgia Tech, Sch Comp Sci, Atlanta, GA 30332 USA
[2] NYU, Courant Inst, New York, NY USA
来源
ANNALS OF APPLIED PROBABILITY | 2020年 / 30卷 / 01期
关键词
Random-cluster model; Glauber dynamics; mixing time; spatial mixing; SWENDSEN-WANG PROCESS; ISING-MODEL; SYSTEMS;
D O I
10.1214/19-AAP1505
中图分类号
O21 [概率论与数理统计]; C8 [统计学];
学科分类号
020208 ; 070103 ; 0714 ;
摘要
The random-cluster model with parameters (p, q) is a random graph model that generalizes bond percolation (q = 1) and the Ising and Potts models (q >= 2). We study its Glauber dynamics on n x n boxes Lambda(n) of the integer lattice graph Z(2), where the model exhibits a sharp phase transition at p = p(c)(q). Unlike traditional spin systems like the Ising and Potts models, the random-cluster model has non-local interactions. Long-range interactions can be imposed as external connections in the boundary of Lambda(n), known as boundary conditions. For select boundary conditions that do not carry longrange information (namely, wired and free), Blanca and Sinclair proved that when q > 1 and p not equal p(c)(q), the Glauber dynamics on Lambda(n) mixes in optimal O(n(2) log n) time. In this paper, we prove that this mixing time is polynomial in n for every boundary condition that is realizable as a configuration on Z(2)\Lambda(n). We then use this to prove near-optimal (O) over tilde (n(2)) mixing time for "typical" boundary conditions. As a complementary result, we construct classes of nonrealizable (nonplanar) boundary conditions inducing slow (stretchedexponential) mixing at p << p(c).
引用
收藏
页码:418 / 459
页数:42
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