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给随机图着色

Coloring random graphs.

作者信息

Mulet R, Pagnani A, Weigt M, Zecchina R

机构信息

International Centre for Theoretical Physics, Strada Costiera 11, P.O. Box 586, 34100 Trieste, Italy.

出版信息

Phys Rev Lett. 2002 Dec 23;89(26):268701. doi: 10.1103/PhysRevLett.89.268701. Epub 2002 Dec 9.

Abstract

We study the graph coloring problem over random graphs of finite average connectivity c. Given a number q of available colors, we find that graphs with low connectivity admit almost always a proper coloring, whereas graphs with high connectivity are uncolorable. Depending on q, we find the precise value of the critical average connectivity c(q). Moreover, we show that below c(q) there exists a clustering phase c in [c(d),c(q)] in which ground states spontaneously divide into an exponential number of clusters and where the proliferation of metastable states is responsible for the onset of complexity in local search algorithms.

摘要

我们研究了有限平均连通度(c)的随机图上的图着色问题。给定(q)种可用颜色,我们发现连通度低的图几乎总能得到恰当的着色,而连通度高的图则无法着色。根据(q),我们确定了临界平均连通度(c(q))的精确值。此外,我们表明,在(c(q))以下,在([c(d),c(q)])中存在一个聚类阶段(c),其中基态会自发地分裂成指数数量的簇,并且亚稳态的增殖是局部搜索算法中复杂度出现的原因。

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