Quasi-polynomial mixing of critical 2D random cluster models
Probability
2019-04-02 v3 Mathematical Physics
math.MP
Abstract
We study the Glauber dynamics for the random cluster (FK) model on the torus with parameters , for and the critical point . The dynamics is believed to undergo a critical slowdown, with its continuous-time mixing time transitioning from for to a power-law in at . This was verified at by Blanca and Sinclair, whereas at the critical , with the exception of the special integer points (where the model corresponds to the Ising/Potts models) the best-known upper bound on mixing was exponential in . Here we prove an upper bound of at for all , where a key ingredient is bounding the number of nested long-range crossings at criticality.
Keywords
Cite
@article{arxiv.1611.01147,
title = {Quasi-polynomial mixing of critical 2D random cluster models},
author = {Reza Gheissari and Eyal Lubetzky},
journal= {arXiv preprint arXiv:1611.01147},
year = {2019}
}
Comments
39 pages, 8 figures