
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 exist 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.
4 pages, 1 figure, version to app. in PRL
FOS: Computer and information sciences, Statistical Mechanics (cond-mat.stat-mech), Random graphs (graph-theoretic aspects), FOS: Physical sciences, Disordered Systems and Neural Networks (cond-mat.dis-nn), Condensed Matter - Disordered Systems and Neural Networks, Computational Complexity (cs.CC), clustering phase, Computer Science - Computational Complexity, Coloring of graphs and hypergraphs, graph coloring, random graphs, Condensed Matter - Statistical Mechanics, average connectivity
FOS: Computer and information sciences, Statistical Mechanics (cond-mat.stat-mech), Random graphs (graph-theoretic aspects), FOS: Physical sciences, Disordered Systems and Neural Networks (cond-mat.dis-nn), Condensed Matter - Disordered Systems and Neural Networks, Computational Complexity (cs.CC), clustering phase, Computer Science - Computational Complexity, Coloring of graphs and hypergraphs, graph coloring, random graphs, Condensed Matter - Statistical Mechanics, average connectivity
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