稀疏正则图中子图计数的上尾
组合数学
2021-05-20 v2
摘要
一个稀疏的 -顶点随机 -正则图 ()含有比期望多得多的固定图 的拷贝的概率是多少?我们确定了该上尾在指数上对数间隙范围内的性态。对大多数图 (例如,对任意平均度大于 的 )我们将上尾确定到指数上的 因子。然而,我们也给出一个图的例子,由向 添加一条边得到,其上尾概率在此稀疏性 regime 下表现得不同于先前在稀疏随机正则与稀疏 Erd\H{o}s-R\'{e}nyi 模型中研究过的性态。
关键词
引用
@article{arxiv.2010.00658,
title = {Upper Tails of Subgraph Counts in Sparse Regular Graphs},
author = {Benjamin Gunby},
journal= {arXiv preprint arXiv:2010.00658},
year = {2021}
}
备注
94 pages, 3 figures. v2 includes several minor edits. Several citations were fixed and \v{S}ileikis and Warnke was added as a citation (and the abstract edited accordingly). Several sections were slightly clarified. The abstract now correctly states "average degree greater than $4$" instead of "at least $4$". A minor error in Claim 4 of Lemma 10.3 was corrected