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Related papers: Random-cluster dynamics in $\mathbb Z^2$: rapid mi…

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The random-cluster model has been widely studied as a unifying framework for random graphs, spin systems and electrical networks, but its dynamics have so far largely resisted analysis. In this paper we analyze the Glauber dynamics of the…

Discrete Mathematics · Computer Science 2022-05-10 Antonio Blanca , Alistair Sinclair

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…

Probability · Mathematics 2023-10-05 Reza Gheissari , Alistair Sinclair

We establish rapid mixing of the random-cluster Glauber dynamics on random $\Delta$-regular graphs for all $q\ge 1$ and $p<p_u(q,\Delta)$, where the threshold $p_u(q,\Delta)$ corresponds to a uniqueness/non-uniqueness phase transition for…

Probability · Mathematics 2021-05-05 Antonio Blanca , Reza Gheissari

We study the Glauber dynamics for the random cluster (FK) model on the torus $(\mathbb{Z}/n\mathbb{Z})^2$ with parameters $(p,q)$, for $q \in (1,4]$ and $p$ the critical point $p_c$. The dynamics is believed to undergo a critical slowdown,…

Probability · Mathematics 2019-04-02 Reza Gheissari , Eyal Lubetzky

We consider the performance of Glauber dynamics for the random cluster model with real parameter $q>1$ and temperature $\beta>0$. Recent work by Helmuth, Jenssen and Perkins detailed the ordered/disordered transition of the model on random…

Probability · Mathematics 2025-04-30 Andreas Galanis , Leslie Ann Goldberg , Paulina Smolarova

We consider the Ising, and more generally, $q$-state Potts Glauber dynamics on random $d$-regular graphs on $n$ vertices at low temperatures $\beta \gtrsim \frac{\log d}{d}$. The mixing time is exponential in $n$ due to a bottleneck between…

Probability · Mathematics 2025-05-22 Reza Gheissari , Allan Sly , Youngtak Sohn

We study the random-cluster model on trees and treelike graphs at low temperatures. This is a model of dependent percolation parametrized by an edge probability $p\in (0,1)$ and a clustering weight $q\in [1,\infty)$, generalizing…

Probability · Mathematics 2026-04-23 Antonio Blanca , Reza Gheissari , Heehyun Park , Xusheng Zhang

We show that the mixing time of Glauber (single edge update) dynamics for the random cluster model at $q=2$ is bounded by a polynomial in the size of the underlying graph. As a consequence, the Swendsen-Wang algorithm for the ferromagnetic…

Data Structures and Algorithms · Computer Science 2016-05-03 Heng Guo , Mark Jerrum

The random-cluster model is a unifying framework for studying random graphs, spin systems in physics and random spanning trees. The model is closely related to, though much more general than the classical Ising and Potts models, but its…

Probability · Mathematics 2015-07-14 Antonio Blanca , Alistair Sinclair

We give the first comprehensive analysis of the effect of boundary conditions on the mixing time of the Glauber dynamics in the so-called Bethe approximation. Specifically, we show that spectral gap and the log-Sobolev constant of the…

Probability · Mathematics 2009-11-10 Fabio Martinelli , Alistair Sinclair , Dror Weitz

We consider the problem of sampling from the ferromagnetic Potts and random-cluster models on a general family of random graphs via the Glauber dynamics for the random-cluster model. The random-cluster model is parametrized by an edge…

Probability · Mathematics 2023-02-28 Antonio Blanca , Reza Gheissari

We study the stochastic Ising model on finite graphs with n vertices and bounded degree and analyze the effect of boundary conditions on the mixing time. We show that for all low enough temperatures, the spectral gap of the dynamics with…

Probability · Mathematics 2008-11-10 Alessandra Bianchi

We consider the Glauber dynamics for the 2D Ising model in a box of side L, at inverse temperature $\beta$ and random boundary conditions $\tau$ whose distribution P either stochastically dominates the extremal plus phase (hence the…

Probability · Mathematics 2011-12-15 F. Martinelli , F. Toninelli

We study the mixing time of Glauber dynamics on monotone systems. For monotone systems satisfying the entropic independence condition, we prove a new mixing time comparison result for Glauber dynamics. For concrete applications, we obtain…

Discrete Mathematics · Computer Science 2025-07-16 Weiming Feng , Minji Yang

We study random walks on dynamically evolving graphs, where the environment is given by a time-dependent subset of the edges of an underlying graph. Concretely, following the recently introduced framework of Lelli and Stauffer, we consider…

Probability · Mathematics 2026-05-08 Andreas Galanis , Leslie Ann Goldberg , Xandru Mifsud

The random-cluster model is a unifying framework for studying random graphs, spin systems and electrical networks that plays a fundamental role in designing efficient Markov Chain Monte Carlo (MCMC) sampling algorithms for the classical…

Probability · Mathematics 2023-08-30 Antonio Blanca , Alistair Sinclair , Xusheng Zhang

We study continuous time Glauber dynamics for random configurations with local constraints (e.g. proper coloring, Ising and Potts models) on finite graphs with $n$ vertices and of bounded degree. We show that the relaxation time (defined as…

Probability · Mathematics 2016-09-07 Noam Berger , Claire Kenyon , Elchanan Mossel , Yuval Peres

We study dynamical aspects of the $q$-state Potts model on an $n\times n$ box at its critical $\beta_c(q)$. Heat-bath Glauber dynamics and cluster dynamics such as Swendsen--Wang (that circumvent low-temperature bottlenecks) are all…

Probability · Mathematics 2017-09-01 Reza Gheissari , Eyal Lubetzky

The hardcore model is a fundamental probabilistic model extensively studied in statistical physics, probability theory, and computer science. For graphs of maximum degree $\Delta$, a well-known computational phase transition occurs at the…

Data Structures and Algorithms · Computer Science 2025-11-13 Xiaoyu Chen , Zejia Chen , Zongchen Chen , Yitong Yin , Xinyuan Zhang

The random-cluster model is a dependent percolation model that has applications in the study of Ising and Potts models. In this paper, several new results are obtained for the random-cluster model on nonamenable graphs with cluster…

Probability · Mathematics 2007-05-23 Olle Haggstrom , Johan Jonasson , Russell Lyons
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