异构随机图的树深和树宽

IF 0.4 4区 数学 Q4 MATHEMATICS Proceedings of the Japan Academy Series A-Mathematical Sciences Pub Date : 2022-11-11 DOI:10.3792/pjaa.98.015
Y. Shang
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引用次数: 2

摘要

在这篇文章中,我们研究了一个异构随机图的树深度和树宽度,该图是通过以概率p n ð e ij Þ独立包含K n / n个顶点的完全图的每个边e ij ð i 6¼j Þ获得的。当边缘概率序列满足一定的密度假设时,我们证明了树深和树宽都具有高概率的线性大小。此外,我们将该方法推广到具有不同边权的随机加权图中,并捕获了加权树深度有一个常数有界的高概率条件。
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On the tree-depth and tree-width in heterogeneous random graphs
: In this note, we investigate the tree-depth and tree-width in a heterogeneous random graph obtained by including each edge e ij ð i 6¼ j Þ of a complete graph K n over n vertices independently with probability p n ð e ij Þ . When the sequence of edge probabilities satisfies some density assumptions, we show both tree-depth and tree-width are of linear size with high probability. Moreover, we extend the method to random weighted graphs with non-identical edge weights and capture the conditions under which with high probability the weighted tree-depth is bounded by a constant.
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来源期刊
CiteScore
1.00
自引率
0.00%
发文量
16
审稿时长
6 months
期刊介绍: The aim of the Proceedings of the Japan Academy, Series A, is the rapid publication of original papers in mathematical sciences. The paper should be written in English or French (preferably in English), and at most 6 pages long when published. A paper that is a résumé or an announcement (i.e. one whose details are to be published elsewhere) can also be submitted. The paper is published promptly if once communicated by a Member of the Academy at its General Meeting, which is held monthly except in July and in August.
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