Clique-factors in graphs with sublinear -independence number

IF 0.9 4区 数学 Q3 COMPUTER SCIENCE, THEORY & METHODS
Jie Han, Ping Hu, Guanghui Wang, Donglei Yang
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引用次数: 2

Abstract

Abstract Given a graph $G$ and an integer $\ell \ge 2$ , we denote by $\alpha _{\ell }(G)$ the maximum size of a $K_{\ell }$ -free subset of vertices in $V(G)$ . A recent question of Nenadov and Pehova asks for determining the best possible minimum degree conditions forcing clique-factors in $n$ -vertex graphs $G$ with $\alpha _{\ell }(G) = o(n)$ , which can be seen as a Ramsey–Turán variant of the celebrated Hajnal–Szemerédi theorem. In this paper we find the asymptotical sharp minimum degree threshold for $K_r$ -factors in $n$ -vertex graphs $G$ with $\alpha _\ell (G)=n^{1-o(1)}$ for all $r\ge \ell \ge 2$ .
次线性无关数图中的团因子
给定一个图$G$和一个整数$\ell \ge 2$,我们用$\alpha _{\ell }(G)$表示$V(G)$中一个无$K_{\ell }$的顶点子集的最大大小。Nenadov和Pehova最近的一个问题是用$\alpha _{\ell }(G) = o(n)$确定$n$ -顶点图$G$中强迫派系因子的最佳最小可能度条件,这可以看作是著名的hajnal - szemersamedi定理的Ramsey-Turán变体。在本文中,我们找到了$n$ -顶点图$G$中$K_r$ -因子的渐近尖锐最小度阈值,对于所有$r\ge \ell \ge 2$都有$\alpha _\ell (G)=n^{1-o(1)}$。
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来源期刊
Combinatorics, Probability & Computing
Combinatorics, Probability & Computing 数学-计算机:理论方法
CiteScore
2.40
自引率
11.10%
发文量
33
审稿时长
6-12 weeks
期刊介绍: Published bimonthly, Combinatorics, Probability & Computing is devoted to the three areas of combinatorics, probability theory and theoretical computer science. Topics covered include classical and algebraic graph theory, extremal set theory, matroid theory, probabilistic methods and random combinatorial structures; combinatorial probability and limit theorems for random combinatorial structures; the theory of algorithms (including complexity theory), randomised algorithms, probabilistic analysis of algorithms, computational learning theory and optimisation.
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