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相关论文: Strong Spatial Mixing and Approximating Partition …

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We give a complete characterization of the two-state anti-ferromagnetic spin systems which are of strong spatial mixing on general graphs. We show that a two-state anti-ferromagnetic spin system is of strong spatial mixing on all graphs of…

数据结构与算法 · 计算机科学 2021-05-10 Liang Li , Pinyan Lu , Yitong Yin

Two-state spin systems is a classical topic in statistical physics. We consider the problem of computing the partition function of the systems on a bounded degree graph. Based on the self-avoiding tree, we prove the systems exhibits strong…

离散数学 · 计算机科学 2009-12-01 Jinshan Zhang , Heng Liang , Fengshan Bai

Gibbs distribution of binary Markov random fields on a sparse on average graph is considered in this paper. The strong spatial mixing is proved under the condition that the `external field' is uniformly large or small. Such condition on…

信息论 · 计算机科学 2009-12-01 Jinshan Zhang , Heng Liang , Fengshan Bai

In a seminal paper (Weitz, 2006), Weitz gave a deterministic fully polynomial approximation scheme for count- ing exponentially weighted independent sets (equivalently, approximating the partition function of the hard-core model from…

离散数学 · 计算机科学 2015-03-19 Alistair Sinclair , Piyush Srivastava , Marc Thurley

The class of two-spin systems contains several important models, including random independent sets and the Ising model of statistical physics. We show that for both the hard-core (independent set) model and the anti-ferromagnetic Ising…

概率论 · 数学 2012-03-13 Allan Sly , Nike Sun

We propose a notion of contraction function for a family of graphs and establish its connection to the strong spatial mixing for spin systems. More specifically, we show that for anti-ferromagnetic Potts model on families of graphs…

数据结构与算法 · 计算机科学 2015-07-28 Yitong Yin , Chihao Zhang

We study the approximability of computing the partition function for ferromagnetic two-state spin systems. The remarkable algorithm by Jerrum and Sinclair showed that there is a fully polynomial-time randomized approximation scheme (FPRAS)…

计算复杂性 · 计算机科学 2014-02-19 Jingcheng Liu , Pinyan Lu , Chihao Zhang

For general antiferromagnetic 2-spin systems, including the hardcore model and the antiferromagnetic Ising model, there is an $\mathsf{FPTAS}$ for the partition function on graphs of maximum degree $\Delta$ when the infinite regular tree…

数据结构与算法 · 计算机科学 2021-07-20 Zongchen Chen , Kuikui Liu , Eric Vigoda

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…

数据结构与算法 · 计算机科学 2026-05-04 Xiaoyu Chen , Zhe Ju , Tianshun Miao , Yitong Yin , Xinyuan Zhang

A remarkable connection has been established for antiferromagnetic 2-spin systems, including the Ising and hard-core models, showing that the computational complexity of approximating the partition function for graphs with maximum degree D…

计算复杂性 · 计算机科学 2014-11-05 Andreas Galanis , Daniel Stefankovic , Eric Vigoda

We present a perfect marginal sampler of the unique Gibbs measure of a spin system on $\mathbb Z^2$. The algorithm is an adaptation of a previous `lazy depth-first' approach by the authors, but relaxes the requirement of strong spatial…

数据结构与算法 · 计算机科学 2023-02-16 Konrad Anand , Mark Jerrum

The hard core model in statistical physics is a probability distribution on independent sets in a graph in which the weight of any independent set I is proportional to lambda^(|I|), where lambda > 0 is the vertex activity. We show that…

离散数学 · 计算机科学 2016-11-17 Alistair Sinclair , Piyush Srivastava , Yitong Yin

Recent inapproximability results of Sly (2010), together with an approximation algorithm presented by Weitz (2006) establish a beautiful picture for the computational complexity of approximating the partition function of the hard-core…

离散数学 · 计算机科学 2016-09-14 Andreas Galanis , Daniel Stefankovic , Eric Vigoda

We revisit classical bounds of M. E. Fisher on the ferromagnetic Ising model, and show how to efficiently use them on an arbitrary given graph to rigorously upper-bound the partition function, magnetizations, and correlations. The results…

无序系统与神经网络 · 物理学 2017-05-24 Alaa Saade , Florent Krzakala , Lenka Zdeborová

This paper deals with the construction of a correlation decay tree (hypertree) for interacting systems modeled using graphs (hypergraphs) that can be used to compute the marginal probability of any vertex of interest. Local message passing…

概率论 · 数学 2007-05-23 Chandra Nair , Prasad Tetali

We consider spin systems on the integer lattice graph $\mathbb{Z}^d$ with nearest-neighbor interactions. We develop a combinatorial framework for establishing that exponential decay with distance of spin correlations, specifically the…

离散数学 · 计算机科学 2017-08-09 Antonio Blanca , Pietro Caputo , Alistair Sinclair , Eric Vigoda

Hardcore and Ising models are two most important families of two state spin systems in statistic physics. Partition function of spin systems is the center concept in statistic physics which connects microscopic particles and their…

数据结构与算法 · 计算机科学 2015-09-21 Pinyan Lu , Kuan Yang , Chihao Zhang

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…

概率论 · 数学 2013-02-06 Elchanan Mossel , Allan Sly

We give fully polynomial-time approximation schemes (FPTAS) for the partition function of ferromagnetic 2-spin systems in certain parameter regimes. The threshold we obtain is almost tight up to an integrality gap. Our technique is based on…

数据结构与算法 · 计算机科学 2018-07-06 Heng Guo , Pinyan Lu

Strong spatial mixing (SSM) is a form of correlation decay that has played an essential role in the design of approximate counting algorithms for spin systems. A notable example is the algorithm of Weitz (2006) for the hard-core model on…

离散数学 · 计算机科学 2019-09-17 Charilaos Efthymiou , Andreas Galanis , Thomas P. Hayes , Daniel Stefankovic , Eric Vigoda
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