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Chasing the K-Colorability Threshold

机译:追逐K可着色性阈值

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摘要

In this paper we establish a substantially improved lower bound on the k-color ability threshold of the random graph G(n, m) with n vertices and m edges. The new lower bound is approximately 1.39 less than the 2k*ln(k)-ln(k) first-moment upper bound (and approximately 0.39 less than the 2k*ln(k)-ln(k)-1 physics conjecture). By comparison, the best previous bounds left a gap of about 2+ln(k), unbounded in terms of the number of colors [Achlioptas, Naor: STOC 2004]. Furthermore, we prove that, in a precise sense, our lower bound marks the so-called condensation phase transition predicted on the basis of physics arguments [Krzkala et al.: PNAS 2007]. Our proof technique is a novel approach to the second moment method, inspired by physics conjectures on the geometry of the set of k-colorings of the random graph.
机译:在本文中,我们建立了具有n个顶点和m个边的随机图G(n,m)的k色能力阈值的显着改进的下界。新的下界大约比2k * ln(k)-ln(k)第一时刻的上限小1.39(并且比2k * ln(k)-ln(k)-1物理猜想小大约0.39)。相比之下,最佳的先前边界留下了大约2 + ln(k)的间隙,就颜色的数量而言是无界的[Achlioptas,Naor:STOC 2004]。此外,我们证明,在精确的意义上,我们的下界标志着根据物理学观点预测的所谓的缩合相变[Krzkala等:PNAS 2007]。我们的证明技术是二次矩方法的一种新颖方法,其灵感来自对随机图的k色集合的几何学的物理学猜想。

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