Some Results on Path-Factor Critical Avoidable Graphs

IF 0.5 4区 数学 Q3 MATHEMATICS
Sizhong Zhou
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引用次数: 29

Abstract

Abstract A path factor is a spanning subgraph F of G such that every component of F is a path with at least two vertices. We write P≥k = {Pi : i ≥ k}. Then a P≥k-factor of G means a path factor in which every component admits at least k vertices, where k ≥ 2 is an integer. A graph G is called a P≥k-factor avoidable graph if for any e ∈ E(G), G admits a P≥k-factor excluding e. A graph G is called a (P≥k, n)-factor critical avoidable graph if for any Q ⊆ V (G) with |Q| = n, G − Q is a P ≥k-factor avoidable graph. Let G be an (n + 2)-connected graph. In this paper, we demonstrate that (i) G is a (P≥2, n)-factor critical avoidable graph if tough(G)>n+24 tough\left( G \right) > {{n + 2} \over 4} ; (ii) G is a (P≥3, n)-factor critical avoidable graph if tough(G)>n+12 tough\left( G \right) > {{n + 1} \over 2} ; (iii) G is a (P≥2, n)-factor critical avoidable graph if I(G)>n+23 I\left( G \right) > {{n + 2} \over 3} ; (iv) G is a (P≥3, n)-factor critical avoidable graph if I(G)>n+32 I\left( G \right) > {{n + 3} \over 2} . Furthermore, we claim that these conditions are sharp.
关于路径因子临界可避免图的一些结果
路径因子是G的生成子图F,使得F的每个分量都是至少有两个顶点的路径。我们写P≥k = {Pi: i≥k}。则G的P≥k因子表示每个分量至少包含k个顶点的路径因子,其中k≥2为整数。若对于任意e∈e (G), G存在不含e的P≥k个因子,则图G称为P≥k因素可避免图。若对于任意Q∈e (G),且|Q| = n, G−Q为P≥k因素可避免图,则图G称为(P≥k, n)个因素关键可避免图。设G是一个(n + 2)连通图。在本文中,我们证明(i)如果tough(G)>n+24 tough\左(G \右)> {{n +2} \ / 4}, G是一个(P≥2,n)因子临界可避免图;(ii)若tough(G)>n+12 tough\left(G \right) > {{n +1} \ / 2},则G为(P≥3,n)因子临界可避免图;(iii)当I(G)>n+23 I\左(G \右)> {{n +2} \ / 3}时,G为(P≥2,n)因子临界可避免图;(iv)当I(G)>n+32 I\左(G \右)> {{n +3} \ / 2}时,G是一个(P≥3,n)因子临界可避免图。此外,我们声称这些条件是尖锐的。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
CiteScore
2.20
自引率
0.00%
发文量
22
审稿时长
53 weeks
期刊介绍: The Discussiones Mathematicae Graph Theory publishes high-quality refereed original papers. Occasionally, very authoritative expository survey articles and notes of exceptional value can be published. The journal is mainly devoted to the following topics in Graph Theory: colourings, partitions (general colourings), hereditary properties, independence and domination, structures in graphs (sets, paths, cycles, etc.), local properties, products of graphs as well as graph algorithms related to these topics.
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