随机图上的多色拼图渗透

IF 0.4 Q4 MATHEMATICS, APPLIED Journal of Combinatorics Pub Date : 2017-12-04 DOI:10.4310/JOC.2020.V11.N4.A2
Oliver Cooley, Abraham Guti'errez
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引用次数: 4

摘要

由Brummitt、Chatterjee、Dey和Sivakoff提出的拼图渗透过程的灵感来自于一群人共同解决一个难题。它也可以被看作是对一个公共顶点集上的两个图是否“联合连接”的度量。在本文中,我们考虑这个过程的自然推广到任意数目的图在同一顶点集上。我们证明了如果这些图是随机的,那么拼图渗透过程表现出边缘概率乘积的相变。这概括了Bollobas, Riordan, Slivken和Smith的结果。
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Multi-coloured jigsaw percolation on random graphs
The jigsaw percolation process, introduced by Brummitt, Chatterjee, Dey and Sivakoff, was inspired by a group of people collectively solving a puzzle. It can also be seen as a measure of whether two graphs on a common vertex set are "jointly connected". In this paper we consider the natural generalisation of this process to an arbitrary number of graphs on the same vertex set. We prove that if these graphs are random, then the jigsaw percolation process exhibits a phase transition in terms of the product of the edge probabilities. This generalises a result of Bollobas, Riordan, Slivken and Smith.
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来源期刊
Journal of Combinatorics
Journal of Combinatorics MATHEMATICS, APPLIED-
自引率
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发文量
21
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