Random cluster dynamics for the Ising model is rapidly mixing
Heng Guo, Mark Jerrum

TL;DR
This paper proves that the Glauber dynamics for the random cluster model at q=2, including the Swendsen-Wang algorithm for the Ising model, mixes rapidly with polynomial time bounds.
Contribution
It establishes polynomial mixing time bounds for Glauber dynamics and the Swendsen-Wang algorithm at q=2, advancing understanding of their efficiency.
Findings
Glauber dynamics for the random cluster model at q=2 is rapidly mixing.
Swendsen-Wang algorithm for the ferromagnetic Ising model has polynomial mixing time.
Mixing time bounds are polynomial in the size of the underlying graph.
Abstract
We show that the mixing time of Glauber (single edge update) dynamics for the random cluster model at is bounded by a polynomial in the size of the underlying graph. As a consequence, the Swendsen-Wang algorithm for the ferromagnetic Ising model at any temperature has the same polynomial mixing time bound.
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Taxonomy
TopicsMarkov Chains and Monte Carlo Methods · Stochastic processes and statistical mechanics · Theoretical and Computational Physics
