Exponentially slow mixing in the mean-field Swendsen-Wang dynamics

R Gheissari, E Lubetzky, Y Peres - Proceedings of the Twenty-Ninth Annual …, 2018 - SIAM
Proceedings of the Twenty-Ninth Annual ACM-SIAM Symposium on Discrete Algorithms, 2018SIAM
Swendsen-Wang dynamics for the Potts model was proposed in the late 1980's as an
alternative to single-site heat-bath dynamics, in which global updates allow this MCMC
sampler to switch between metastable states and ideally mix faster. Gore and Jerrum (1997)
found that this dynamics may in fact exhibit slow mixing: they showed that, for the Potts
model with q≥ 3 colors on the complete graph on n vertices at the critical point βc (q),
Swendsen–Wang dynamics has. Galanis et al.(2015) showed that t MIX≥ exp (cn 1/3) …
Abstract
Swendsen-Wang dynamics for the Potts model was proposed in the late 1980's as an alternative to single-site heat-bath dynamics, in which global updates allow this MCMC sampler to switch between metastable states and ideally mix faster. Gore and Jerrum (1997) found that this dynamics may in fact exhibit slow mixing: they showed that, for the Potts model with q ≥ 3 colors on the complete graph on n vertices at the critical point βc(q), Swendsen–Wang dynamics has . Galanis et al. (2015) showed that tMIX ≥ exp(cn1/3) throughout the critical window (βs, βs) around βc, and Blanca and Sinclair (2015) established that in the critical window for corresponding mean-field FK model, which implied the same bound for Swendsen–Wang via known comparison estimates. In both cases, an upper bound of tMIX ≤ exp(cn) was known. Here we show that the mixing time is truly exponential in n: namely, tMIX ≥ exp(cn) for Swendsen–Wang dynamics when q ≥ 3 and β ∊ (βs, βS), and the same bound holds for the related MCMC samplers for the mean-field FK model when q > 2.
Society for Industrial and Applied Mathematics
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