中文
相关论文

相关论文: Glauber Dynamics on Trees and Hyperbolic Graphs

200 篇论文

In this note we consider the Glauber dynamics for the mean-field Ising model, when all couplings are equal and the external field is uniform. It is proved that the relaxation time of the dynamics is monotonically decreasing in temperature.

概率论 · 数学 2012-03-26 Vladislav Kargin

We consider Metropolis Glauber dynamics for sampling proper $q$-colourings of the $n$-vertex complete $b$-ary tree when $3\leq q\leq b/2\ln(b)$. We give both upper and lower bounds on the mixing time. For fixed $q$ and $b$, our upper bound…

计算复杂性 · 计算机科学 2008-06-06 Leslie Ann Goldberg , Mark Jerrum , Marek Karpinski

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…

离散数学 · 计算机科学 2025-07-16 Weiming Feng , Minji Yang

We study how to establish $\textit{spectral independence}$, a key concept in sampling, without relying on total influence bounds, by applying an $\textit{approximate inverse}$ of the influence matrix. Our method gives constant upper bounds…

数据结构与算法 · 计算机科学 2024-04-09 Xiaoyu Chen , Xiongxin Yang , Yitong Yin , Xinyuan Zhang

This work establishes novel optimum mixing bounds for the Glauber dynamics on the Hard-core and Ising models. These bounds are expressed in terms of the local connective constant of the underlying graph $G$. This is a notion of effective…

离散数学 · 计算机科学 2025-04-29 Charilaos Efthymiou

Glauber dynamics of the Ising model on a random regular graph is known to mix fast below the tree uniqueness threshold and exponentially slowly above it. We show that Kawasaki dynamics of the canonical ferromagnetic Ising model on a random…

概率论 · 数学 2025-08-25 Roland Bauerschmidt , Thierry Bodineau , Benoit Dagallier

We prove an optimal $\Omega(n^{-1})$ lower bound on the spectral gap of Glauber dynamics for anti-ferromagnetic two-spin systems with $n$ vertices in the tree uniqueness regime. This spectral gap holds for all, including unbounded, maximum…

数据结构与算法 · 计算机科学 2021-11-22 Xiaoyu Chen , Weiming Feng , Yitong Yin , Xinyuan Zhang

We consider the ferromagnetic Ising model with Glauber spin flip dynamics in one dimension. The external magnetic field vanishes and the couplings are i.i.d. random variables. If their distribution has compact support, the disorder averaged…

数学物理 · 物理学 2007-05-23 H. Spohn , E. Zhizhina

The Swendsen-Wang dynamics is a popular algorithm for sampling from the Gibbs distribution for the ferromagnetic Ising model on a graph $G=(V,E)$. The dynamics is a "global" Markov chain which is conjectured to converge to equilibrium in…

离散数学 · 计算机科学 2018-06-13 Antonio Blanca , Zongchen Chen , Eric Vigoda

Gibbs sampling also known as Glauber dynamics is a popular technique for sampling high dimensional distributions defined on graphs. Of special interest is the behavior of Gibbs sampling on the Erd\H{o}s-R\'enyi random graph G(n,d/n). While…

概率论 · 数学 2008-01-14 Elchanan Mossel , Allan Sly

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…

概率论 · 数学 2021-05-05 Antonio Blanca , Reza Gheissari

We study heat-bath Glauber dynamics for the ferromagnetic Ising model on a finite cycle (a graph where every vertex has degree two). We prove that the relaxation time $\tau_2$ is an increasing function of any of the couplings $J_{xy}$. We…

概率论 · 数学 2007-05-23 Serban Nacu

Spectral independence is a recently-developed framework for obtaining sharp bounds on the convergence time of the classical Glauber dynamics. This new framework has yielded optimal $O(n \log n)$ sampling algorithms on bounded-degree graphs…

数据结构与算法 · 计算机科学 2023-10-16 Ivona Bezáková , Andreas Galanis , Leslie Ann Goldberg , Daniel Štefankovič

We study the Glauber dynamics for the Ising model on the complete graph, also known as the Curie-Weiss Model. For beta < 1, we prove that the dynamics exhibits a cut-off: the distance to stationarity drops from near 1 to near 0 in a window…

概率论 · 数学 2007-12-11 David A. Levin , Malwina J. Luczak , Yuval Peres

Consider random $d$-regular graphs, i.e., random graphs such that there are exactly $d$ edges from each vertex for some $d\ge 3$. We study both the configuration model version of this graph, which has occasional multi-edges and self-loops,…

概率论 · 数学 2021-04-27 Van Hao Can , Remco van der Hofstad , Takashi Kumagai

We prove that any Markov chain that performs local, reversible updates on randomly chosen vertices of a bounded-degree graph necessarily has mixing time at least $\Omega(n\log n)$, where $n$ is the number of vertices. Our bound applies to…

概率论 · 数学 2009-09-29 Thomas P. Hayes , Alistair Sinclair

In this article, we briefly review the studies on magnetic relaxation behaviours. The theoretical as well as experimental investigations are reported briefly. A major part of this article is devoted to the recent Monte Carlo investigations…

统计力学 · 物理学 2023-11-21 Ishita Tikader , Muktish Acharyya

A well-known conjecture in computer science and statistical physics is that Glauber dynamics on the set of $k$-colorings of a graph $G$ on $n$ vertices with maximum degree $\Delta$ is rapidly mixing for $k\ge\Delta+2$. In FOCS 1999, Vigoda…

数据结构与算法 · 计算机科学 2018-11-01 Sitan Chen , Michelle Delcourt , Ankur Moitra , Guillem Perarnau , Luke Postle

Consider Glauber dynamics for the Ising model on a graph of $n$ vertices. Hayes and Sinclair showed that the mixing time for this dynamics is at least $n\log n/f(\Delta)$, where $\Delta$ is the maximum degree and $f(\Delta) = \Theta(\Delta…

概率论 · 数学 2013-09-26 Jian Ding , Yuval Peres

We have studied the magnetic relaxation behavior of a two-dimensional Ising ferromagnet by Monte Carlo simulation. Our primary goal is to investigate the effects of the system's geometry (area preserving) , boundary conditions, and…

统计力学 · 物理学 2023-11-21 Ishita Tikader , Olivia Mallick , Muktish Acharyya