Successive vertex orderings of fully regular graphs

IF 0.9 2区 数学 Q2 MATHEMATICS Journal of Combinatorial Theory Series A Pub Date : 2023-10-01 DOI:10.1016/j.jcta.2023.105776
Lixing Fang , Hao Huang , János Pach , Gábor Tardos , Junchi Zuo
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引用次数: 2

Abstract

A graph G=(V,E) is called fully regular if for every independent set IV, the number of vertices in VI that are not connected to any element of I depends only on the size of I. A linear ordering of the vertices of G is called successive if for every i, the first i vertices induce a connected subgraph of G. We give an explicit formula for the number of successive vertex orderings of a fully regular graph.

As an application of our results, we give alternative proofs of two theorems of Stanley and Gao & Peng, determining the number of linear edge orderings of complete graphs and complete bipartite graphs, respectively, with the property that the first i edges induce a connected subgraph.

As another application, we give a simple product formula for the number of linear orderings of the hyperedges of a complete 3-partite 3-uniform hypergraph such that, for every i, the first i hyperedges induce a connected subgraph. We found similar formulas for complete (non-partite) 3-uniform hypergraphs and in another closely related case, but we managed to verify them only when the number of vertices is small.

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完全正则图的连续顶点序
图G=(V,E)被称为完全正则如果对于每个独立集I⊂V,V∖I中不连接到I的任何元素的顶点的数量仅取决于I的大小。G的顶点的线性排序被称为连续如果对于每个I,前I个顶点诱导G的连通子图。我们给出了一个关于全正则图的连续顶点序数的显式公式。作为结果的一个应用,我们给出了Stanley和Gao&;Peng,分别确定了完全图和完全二分图的线性边序的个数,具有前i个边诱导连通子图的性质。作为另一个应用,我们给出了一个关于完全3-部分3-一致超图的超边的线性序数的简单乘积公式,使得对于每个i,前i个超边诱导一个连通子图。我们在完全(非部分)3-一致超图和另一个密切相关的情况下发现了类似的公式,但我们只能在顶点数量很小时才能验证它们。
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来源期刊
CiteScore
2.90
自引率
9.10%
发文量
94
审稿时长
12 months
期刊介绍: The Journal of Combinatorial Theory publishes original mathematical research concerned with theoretical and physical aspects of the study of finite and discrete structures in all branches of science. Series A is concerned primarily with structures, designs, and applications of combinatorics and is a valuable tool for mathematicians and computer scientists.
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