The Condensation Phase Transition in Random Graph Coloring

The Condensation Phase Transition in Random Graph Coloring
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随机图着色中的凝聚相变

DOI:
10.4230/lipicsapprox-random.2014.449
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发表时间:
2014
影响因子:
2.4
通讯作者:
Dan Vilenchik
Dan Vilenchik
中科院分区:
物理与天体物理2区
文献类型:
--
作者:
V. Bapst;A. Coja;S. Hetterich;Felicia Raßmann;Dan Vilenchik

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基于一种称为“腔方法”的非严格形式主义,物理学家们对稀释平均场模型中的相变提出了有趣的预测,其中相互作用的几何形状由稀疏随机图或超图诱导。这种模型的一个例子是Erdens-Renyi随机图G(n,d/n)上的图着色问题,它可以被看作是Potts反铁磁体的零温度情况。腔方法预测,除了在组合学中深入研究的k-可着色性相变之外,还存在第二种相变,称为凝聚相变(Krzakala et al. Proc Natl Acad Sci 104:10318-10323,2007)。事实上,有一个猜想,这个相变的精确位置在一定的分布不动点问题。在本文中,我们证明了这一猜想的k超过一定的常数k 0。
Based on a non-rigorous formalism called the “cavity method”, physicists have put forward intriguing predictions on phase transitions in diluted mean-field models, in which the geometry of interactions is induced by a sparse random graph or hypergraph. One example of such a model is the graph coloring problem on the Erdős–Renyi random graph G(n, d/n), which can be viewed as the zero temperature case of the Potts antiferromagnet. The cavity method predicts that in addition to the k-colorability phase transition studied intensively in combinatorics, there exists a second phase transition called the condensation phase transition (Krzakala et al. in Proc Natl Acad Sci 104:10318–10323, 2007). In fact, there is a conjecture as to the precise location of this phase transition in terms of a certain distributional fixed point problem. In this paper we prove this conjecture for k exceeding a certain constant k0.
默默地种植色彩
DOI: 10.1017/s0963548316000390
发表时间: 2017
期刊: Combinatorics, Probability and Computing
影响因子: --
作者:
V. Bapst;A. Coja-Oghlan;C. Efthymiou
通讯作者: C. Efthymiou