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The Swendsen-Wang algorithm is a sophisticated, widely-used Markov chain for sampling from the Gibbs distribution for the ferromagnetic Ising and Potts models. This chain has proved difficult to analyze, due in part to the global nature of…

Probability · Mathematics 2021-05-11 Antonio Blanca , Zongchen Chen , Daniel Štefankovič , Eric Vigoda

We study the sampling problem for the ferromagnetic Ising model with consistent external fields, and in particular, Swendsen-Wang dynamics on this model. We introduce a new grand model unifying two closely related models: the subgraph world…

Data Structures and Algorithms · Computer Science 2022-07-19 Weiming Feng , Heng Guo , Jiaheng Wang

We prove two results on the mixing times of Markov chains for two-spin systems. First, we show that the Glauber dynamics mixes in polynomial time for the Gibbs distributions of antiferromagnetic two-spin systems at the critical threshold of…

Data Structures and Algorithms · Computer Science 2026-05-04 Xiaoyu Chen , Zhe Ju , Tianshun Miao , Yitong Yin , Xinyuan Zhang

We study the $q$-state ferromagnetic Potts model on the $n$-vertex complete graph known as the mean-field (Curie-Weiss) model. We analyze the Swendsen-Wang algorithm which is a Markov chain that utilizes the random cluster representation…

Discrete Mathematics · Computer Science 2017-11-27 Andreas Galanis , Daniel Stefankovic , Eric Vigoda

We study the speed of convergence of the Swendsen-Wang (SW) dynamics for the $q$-state ferromagnetic Potts model on the $n$-vertex complete graph, known as the mean-field model. The SW dynamics was introduced as an attractive alternative to…

Probability · Mathematics 2025-10-14 Antonio Blanca , Zhezheng Song

The Gibbs sampler is a particularly popular Markov chain used for learning and inference problems in Graphical Models (GMs). These tasks are computationally intractable in general, and the Gibbs sampler often suffers from slow mixing. In…

Machine Learning · Computer Science 2017-04-10 Sejun Park , Yunhun Jang , Andreas Galanis , Jinwoo Shin , Daniel Stefankovic , Eric Vigoda

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

We study the Swendsen-Wang dynamics for the $q$-state Potts model on the lattice. Introduced as an alternative algorithm of the classical single-site Glauber dynamics, the Swendsen-Wang dynamics is a non-local Markov chain that recolors…

Probability · Mathematics 2019-04-03 Danny Nam , Allan Sly

In this work we show that for every $d < \infty$ and the Ising model defined on $G(n,d/n)$, there exists a $\beta_d > 0$, such that for all $\beta < \beta_d$ with probability going to 1 as $n \to \infty$, the mixing time of the dynamics on…

Probability · Mathematics 2009-01-29 Elchanan Mossel , Allan Sly

We study the Swendsen-Wang dynamics for disordered non ferromagnetic Ising models on cubic subsets of the hypercubic lattice Z^d and we show that for all small values of the temperature parameter T the dynamics has a slow relaxation to…

Probability · Mathematics 2007-05-23 Emilio De Santis

The Swendsen-Wang dynamics is a Markov chain widely used by physicists to sample from the Boltzmann-Gibbs distribution of the Ising model. Cooper, Dyer, Frieze and Rue proved that on the complete graph K_n the mixing time of the chain is at…

Probability · Mathematics 2011-07-18 Yun Long , Asaf Nachmias , Weiyang Ning , Yuval Peres

We prove that the spectral gap of the Swendsen-Wang process for the Potts model on graphs with bounded degree is bounded from below by some constant times the spectral gap of any single-spin dynamics. This implies rapid mixing of the…

Probability · Mathematics 2013-05-23 Mario Ullrich

We study the mixing time of the Swendsen-Wang dynamics for the ferromagnetic Ising and Potts models on the integer lattice ${\mathbb Z}^d$. This dynamics is a widely used Markov chain that has largely resisted sharp analysis because it is…

Probability · Mathematics 2021-03-25 Antonio Blanca , Pietro Caputo , Daniel Parisi , Alistair Sinclair , Eric Vigoda

We study the mixing time of the single-site update Markov chain, known as the Glauber dynamics, for generating a random independent set of a tree. Our focus is obtaining optimal convergence results for arbitrary trees. We consider the more…

Discrete Mathematics · Computer Science 2025-03-05 Charilaos Efthymiou , Thomas P. Hayes , Daniel Stefankovic , Eric Vigoda

We establish tight results for rapid mixing of Gibbs samplers for the Ferromagnetic Ising model on general graphs. We show that if \[(d-1)\tanh\beta<1,\] then there exists a constant C such that the discrete time mixing time of Gibbs…

Probability · Mathematics 2013-02-06 Elchanan Mossel , Allan Sly

We prove comparison results for the Swendsen-Wang (SW) dynamics, the heat-bath (HB) dynamics for the Potts model and the single-bond (SB) dynamics for the random-cluster model on arbitrary graphs. In particular, we prove that rapid mixing…

Probability · Mathematics 2014-05-15 Mario Ullrich

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 prove that the spectral gap of the Swendsen-Wang dynamics for the random-cluster model on arbitrary graphs with m edges is bounded above by 16 m log m times the spectral gap of the single-bond (or heat-bath) dynamics. This and the…

Probability · Mathematics 2012-02-29 Mario Ullrich

We consider spin systems on general $n$-vertex graphs of unbounded degree and explore the effects of spectral independence on the rate of convergence to equilibrium of global Markov chains. Spectral independence is a novel way of…

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

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
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