A note on clique immersion of strong product graphs

IF 0.7 3区 数学 Q2 MATHEMATICS Discrete Mathematics Pub Date : 2024-09-04 DOI:10.1016/j.disc.2024.114237
Chuanshu Wu, Zijian Deng
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Abstract

Let G,H be graphs, and GH represent a specific graph product of G and H. Define im(G) as the largest t for which G contains a Kt-immersion. Collins, Heenehan, and McDonald posed the question: given im(G)=t and im(H)=r, how large can im(GH) be? They conjectured im(GH)tr when ⁎ denotes the strong product. In this note, we affirm that the conjecture holds for graphs with certain immersions, in particular when H contains Kr as a subgraph. As a consequence we also get an alternative argument for a result of Guyer and McDonald, showing that the line graphs of constant-multiplicity multigraphs satisfy the conjecture originally proposed by Abu-Khzam and Langston.

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关于强积图的簇嵌入的说明
设 G、H 为图,G⁎H 表示 G 和 H 的特定图积。定义 im(G) 为 G 包含 Kt-imersion 的最大 t。柯林斯、希尼汉和麦克唐纳提出了这样一个问题:给定 im(G)=t 和 im(H)=r,im(G⁎H)可以有多大?他们猜想,当⁎表示强积时,im(G⁎H)≥tr。在本注释中,我们肯定了这一猜想在具有特定浸入的图中成立,尤其是当 H 包含 Kr 作为子图时。因此,我们还为 Guyer 和 McDonald 的一个结果提供了另一种论证,证明恒多重性多图的线图满足 Abu-Khzam 和 Langston 最初提出的猜想。
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来源期刊
Discrete Mathematics
Discrete Mathematics 数学-数学
CiteScore
1.50
自引率
12.50%
发文量
424
审稿时长
6 months
期刊介绍: Discrete Mathematics provides a common forum for significant research in many areas of discrete mathematics and combinatorics. Among the fields covered by Discrete Mathematics are graph and hypergraph theory, enumeration, coding theory, block designs, the combinatorics of partially ordered sets, extremal set theory, matroid theory, algebraic combinatorics, discrete geometry, matrices, and discrete probability theory. Items in the journal include research articles (Contributions or Notes, depending on length) and survey/expository articles (Perspectives). Efforts are made to process the submission of Notes (short articles) quickly. The Perspectives section features expository articles accessible to a broad audience that cast new light or present unifying points of view on well-known or insufficiently-known topics.
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