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arXiv 0804.0137math.PRmath.CO
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部分结构随机图的相变

Phase Transitions in Partially Structured Random Graphs

Oskar Sandberg

摘要:

我们研究了一个参数的随机图模型,它跨越了传统的Erdens-Rényi型随机图(没有底层结构)和渗流模型(可能的边缘完全由几何形状决定)之间的连续体。我们发现,以前发展的理论领域的随机图和渗流,从不同的方向出发,涵盖了几乎所有的模型所描述的我们的家庭。特别是,已经证明了除了一个参数值以外的所有参数值都存在或不存在一个巨团簇产生的相变。我们证明了单一剩余的情况下,表现得像一个随机图,并有一个单一的线性大小的集群时,预期的顶点度是大于1。

英文摘要:

We study a one parameter family of random graph models that spans a continuum between traditional random graphs of the Erdős-Rényi type, where there is no underlying structure, and percolation models, where the possible edges are dictated exactly by a geometry. We find that previously developed theories in the fields of random graphs and percolation have, starting from different directions, covered almost all the models described by our family. In particular, the existence or not of a phase transition where a giant cluster arises has been proved for all values of the parameter but one. We prove that the single remaining case behaves like a random graph and has a single linearly sized cluster when the expected vertex degree is greater than one.

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