Random sampling of colourings of sparse random graphs with a constant number of colours

dc.creatorEfthymiou, Charilaos
dc.creatorSpirakis, Paul G.
dc.date2008-04-15
dc.date.accessioned2026-07-07T09:46:32Z
dc.date.available2026-07-07T09:46:32Z
dc.descriptionIn this work we present a simple and efficient algorithm which, with high probability, provides an almost uniform sample from the set of proper k-colourings on an instance of a sparse random graph G(n,d/n), where k=k(d) is a sufficiently large constant. Our algorithm is not based on the Markov Chain Monte Carlo method (M.C.M.C.). Instead, we provide a novel proof of correctness of our Algorithm that is based on interesting "spatial mixing" properties of colourings of G(n,d/n). Our result improves upon previous results (based on M.C.M.C.) that required a number of colours growing unboundedly with n.
dc.description30 pages 0 figures, uses fullpage.sty
dc.identifierhttps://arxiv.org/abs/0804.2343
dc.identifierhttp://arxiv.org/abs/0804.2343
dc.identifierdoi:10.1016/j.tcs.2008.05.008
dc.identifier.urihttp://salesiana.dossiersoluciones.com/handle/123456789/163564
dc.subjectDiscrete Mathematics
dc.subjectG.3; G.2.1; G.2.2
dc.titleRandom sampling of colourings of sparse random graphs with a constant number of colours
dc.typetext

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