arXivDaily arXiv每日学术速递 周一至周五更新
arXiv 1107.0871cs.DM
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G(n,d/n)用(2+ε)d种颜色随机着色的一个简单算法

A simple algorithm for random colouring G(n, d/n) using (2+ε)d colours

Charilaos Efthymiou

摘要:

图G=(V,E)的近似随机k-染色是计算机科学和统计物理中的一个重要研究课题。这相当于构造了G的一个k-染色,它的分布接近Gibbs分布,即G的所有k-染色上的均匀分布。在这里,我们处理的问题时,底层图是一个实例的Erdos-Renyi随机图G(n,p),其中p=d/n和d是固定的。我们提出了一种新的有效的近似随机k-着色算法,它具有以下性质:给定G(n,d/n)的一个实例,对于任意k>(2+ε)d,它返回一个k-着色分布在吉布斯分布的总变化距离n^{-Omega(1)}内,概率为1-n^{-Omega(1)}.我们所提出的既不是MCMC算法,也不是受统计物理学家引入的消息传递算法启发的算法。我们的算法是组合的性质。它是基于一个相当简单的递归减少G(n,d/n)的随机k-着色随机k-着色简单的子图第一。我们的算法在多项式时间内运行的颜色数量的下限明显小于我们以前任何算法的相应界限。

英文摘要:

Approximate random k-colouring of a graph G=(V,E) is a very well studied problem in computer science and statistical physics. It amounts to constructing a k-colouring of G which is distributed close to Gibbs distribution, i.e. the uniform distribution over all the k-colourings of G. Here, we deal with the problem when the underlying graph is an instance of Erdos-Renyi random graph G(n,p), where p=d/n and d is fixed. We propose a novel efficient algorithm for approximate random k-colouring with the following properties: given an instance of G(n,d/n) and for any k>(2+ε)d, it returns a k-colouring distributed within total variation distance n^{-Omega(1)} from the Gibbs distribution, with probability 1-n^{-Omega(1)}. What we propose is neither a MCMC algorithm nor some algorithm inspired by the message passing heuristics that were introduced by statistical physicist. Our algorithm is of combinatorial nature. It is based on a rather simple recursion which reduces the random k-colouring of G(n,d/n) to random k-colouring simpler subgraphs first. The lower bound on the number of colours for our algorithm to run in polynomial time is dramatically smaller than the corresponding bounds we have for any previous algorithm.

机构、总结、中文摘要均由AI分析而来,可能存在错误,请以论文正文为准。

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