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April 2018 Random cluster dynamics for the Ising model is rapidly mixing
Heng Guo, Mark Jerrum
Ann. Appl. Probab. 28(2): 1292-1313 (April 2018). DOI: 10.1214/17-AAP1335

Abstract

We show that the mixing time of Glauber (single edge update) dynamics for the random cluster model at $q=2$ on an arbitrary $n$-vertex graph is bounded by a polynomial in $n$. As a consequence, the Swendsen–Wang algorithm for the ferromagnetic Ising model at any temperature also has a polynomial mixing time bound.

Citation

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Heng Guo. Mark Jerrum. "Random cluster dynamics for the Ising model is rapidly mixing." Ann. Appl. Probab. 28 (2) 1292 - 1313, April 2018. https://doi.org/10.1214/17-AAP1335

Information

Received: 1 December 2016; Revised: 1 April 2017; Published: April 2018
First available in Project Euclid: 11 April 2018

zbMATH: 06897955
MathSciNet: MR3784500
Digital Object Identifier: 10.1214/17-AAP1335

Subjects:
Primary: 68W20
Secondary: 68Q87

Keywords: Ising model , Markov chains , Random cluster , Swendsen–Wang dynamics

Rights: Copyright © 2018 Institute of Mathematical Statistics

Vol.28 • No. 2 • April 2018
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