关于随机图中的诱导路径、洞和树

Kunal Dutta, C. Subramanian
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引用次数: 11

摘要

我们研究了Erdos- renyi随机图模型中最大诱导路径、树和环(洞)的集中,并证明了对于所有p = Ω(n ln n)的最大诱导路径和洞的大小的2点集中。作为推论,我们得到了Erdos和Palka关于随机图中最大诱导树大小的改进结果。进一步,我们研究了路径色数和树色数,即图的顶点集可以被划分成的最小部分数,使得每个参数都涉及到Krivelevich, Sudakov, Vu和Wormald的概率不等式的修改版本的应用。
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On Induced Paths, Holes and Trees in Random Graphs
We study the concentration of the largest induced paths, trees and cycles (holes) in the Erdos-Renyi random graph model and prove a 2-point concentration for the size of the largest induced path and hole, for all p = Ω(n ln n). As a corollary, we obtain an improvement over a result of Erdos and Palka concerning the size of the largest induced tree in a random graph. Further, we study the path chromatic number and tree chromatic number i.e. the smallest number of parts into which the vertex set of a graph can be partitioned such that every The arguments involve the application of a modified version of a probabilistic inequality of Krivelevich, Sudakov, Vu and Wormald.
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