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相关论文: Strong spatial mixing for list coloring of graphs

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We study the strong spatial mixing (decay of correlation) property of proper $q$-colorings of random graph $G(n, d/n)$ with a fixed $d$. The strong spatial mixing of coloring and related models have been extensively studied on graphs with…

数据结构与算法 · 计算机科学 2014-02-20 Yitong Yin

Strong spatial mixing (SSM) is an important quantitative notion of correlation decay for Gibbs distributions arising in statistical physics, probability theory, and theoretical computer science. A longstanding conjecture is that the uniform…

数据结构与算法 · 计算机科学 2024-02-14 Zongchen Chen , Kuikui Liu , Nitya Mani , Ankur Moitra

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

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

We examine various perspectives on the decay of correlation for the uniform distribution over proper $q$-edge colorings of graphs with maximum degree $\Delta$. First, we establish the coupling independence property when $q\ge 3\Delta$ for…

数据结构与算法 · 计算机科学 2025-06-03 Zejia Chen , Yulin Wang , Chihao Zhang , Zihan Zhang

We study the problem of approximately counting the number of list packings of a graph. The analogous problem for usual vertex coloring and list coloring has attracted a lot of attention. For list packing the setup is similar but we seek a…

组合数学 · 数学 2024-02-07 Evan Camrud , Ewan Davies , Alex Karduna , Holden Lee

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 prove Gibbs distribution of two-state spin systems(also known as binary Markov random fields) without hard constrains on a tree exhibits strong spatial mixing(also known as strong correlation decay), under the assumption that, for…

离散数学 · 计算机科学 2009-03-05 Jinshan Zhang

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 explore connections between the phenomenon of correlation decay and the location of Lee-Yang and Fisher zeros for various spin systems. In particular we show that, in many instances, proofs showing that weak spatial mixing on the Bethe…

计算复杂性 · 计算机科学 2022-08-05 Jingcheng Liu , Alistair Sinclair , Piyush Srivastava

A strong edge-coloring of a graph $G$ is an edge-coloring such that no two edges of distance at most two receive the same color. The strong chromatic index $\chi'_s(G)$ is the minimum number of colors in a strong edge-coloring of $G$. P.…

组合数学 · 数学 2015-10-06 Chuanyun Zang

A strong edge-colouring of a graph is a proper edge-colouring where each colour class induces a matching. It is known that every planar graph with maximum degree $\Delta$ has a strong edge-colouring with at most $4\Delta+4$ colours. We show…

离散数学 · 计算机科学 2014-07-22 Julien Bensmail , Ararat Harutyunyan , Hervé Hocquard , Petru Valicov

We consider the problem of sampling a proper $k$-coloring of a graph of maximal degree $\Delta$ uniformly at random. We describe a new Markov chain for sampling colorings, and show that it mixes rapidly on graphs of bounded treewidth if…

数据结构与算法 · 计算机科学 2017-08-10 Shai Vardi

A {\em strong edge coloring} of a graph is a proper edge coloring in which every color class is an induced matching. The {\em strong chromatic index} of a graph is the minimum number of colors needed to obtain a strong edge coloring. In an…

组合数学 · 数学 2017-04-17 Watcharintorn Ruksasakchai , Tao Wang

We propose a deterministic algorithm for approximately counting the number of list colorings of a graph. Under the assumption that the graph is triangle free, the size of every list is at least $\alpha \Delta$, where $\alpha$ is an…

组合数学 · 数学 2007-05-23 David Gamarnik , Dmitriy Katz

A strong edge-coloring of a graph $G$ is a coloring of the edges such that every color class induces a matching in $G$. The strong chromatic index of a graph is the minimum number of colors needed in a strong edge-coloring of the graph. In…

组合数学 · 数学 2018-06-20 Mingfang Huang , Michael Santana , Gexin Yu

A strong edge coloring of a graph is a proper edge coloring in which every color class is an induced matching. The strong chromatic index $\chi_s'(G)$ of a graph $G$ is the minimum number of colors in a strong edge coloring of $G$. Let…

组合数学 · 数学 2018-02-20 Tao Wang , Xiaodan Zhao

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

We study the problem of deterministic approximate counting of matchings and independent sets in graphs of bounded connective constant. More generally, we consider the problem of evaluating the partition functions of the monomer-dimer model…

数据结构与算法 · 计算机科学 2014-10-10 Alistair Sinclair , Piyush Srivastava , Daniel Štefankovič , Yitong Yin

We present an improved coupling technique for analyzing the mixing time of Markov chains. Using our technique, we simplify and extend previous results for sampling colorings and independent sets. Our approach uses properties of the…

概率论 · 数学 2007-05-23 Thomas P. Hayes , Eric Vigoda
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