Spatial mixing and the random-cluster dynamics on lattices

Reza Gheissari*, Alistair Sinclair

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review


An important paradigm in the understanding of mixing times of Glauber dynamics for spin systems is the correspondence between spatial mixing properties of the models and bounds on the mixing time of the dynamics. This includes, in particular, the classical notions of weak and strong spatial mixing, which have been used to show the best known mixing time bounds in the high-temperature regime for the Glauber dynamics for the Ising and Potts models. Glauber dynamics for the random-cluster model does not naturally fit into this spin systems framework because its transition rules are not local. In this article, we present various implications between weak spatial mixing, strong spatial mixing, and the newer notion of spatial mixing within a phase, and mixing time bounds for the random-cluster dynamics in finite subsets of (Formula presented.) for general (Formula presented.). These imply a host of new results, including optimal (Formula presented.) mixing for the random cluster dynamics on torii and boxes on (Formula presented.) vertices in (Formula presented.) at all high temperatures and at sufficiently low temperatures, and for large values of (Formula presented.) quasi-polynomial (or quasi-linear when (Formula presented.)) mixing time bounds from random phase initializations on torii at the critical point (where by contrast the mixing time from worst-case initializations is exponentially large). In the same parameter regimes, these results translate to fast sampling algorithms for the Potts model on (Formula presented.) for general (Formula presented.).

Original languageEnglish (US)
Pages (from-to)490-534
Number of pages45
JournalRandom Structures and Algorithms
Issue number2
StatePublished - Mar 2024


  • Glauber dynamics
  • metastability
  • mixing time
  • phase coexistence
  • random-cluster model
  • spatial mixing

ASJC Scopus subject areas

  • Software
  • General Mathematics
  • Computer Graphics and Computer-Aided Design
  • Applied Mathematics


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