Random Cluster Dynamics for the Ising Model is Rapidly Mixing

Heng Guo, Mark Jerrum

Research output: Contribution to journalArticlepeer-review

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.
Original languageEnglish
Pages (from-to)1292-1313
Number of pages22
JournalAnnals of Applied Probability
Volume28
Issue number2
DOIs
Publication statusPublished - 11 Apr 2018

Keywords / Materials (for Non-textual outputs)

  • Random cluster
  • Markov chains
  • Ising model
  • Swendsen-Wang dynamics

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