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Electronic Journal of Combinatorics
Article . 2024 . Peer-reviewed
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Article . 2024
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https://dx.doi.org/10.48550/ar...
Article . 2023
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Article . 2024
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On Density Conditions for Transversal Trees in Multipartite Graphs

On density conditions for transversal trees in multipartite graphs
Authors: Leila Badakhshian; Victor Falgas-Ravry; Maryam Sharifzadeh;

On Density Conditions for Transversal Trees in Multipartite Graphs

Abstract

Let $G$ be an $r$-partite graph such that the edge density between any two parts is at least $\alpha$. How large does $\alpha$ need to be to guarantee that $G$ contains a connected transversal, that is, a tree on $r$ vertices meeting each part in one vertex? And what if instead we want to guarantee the existence of a Hamiltonian transversal? In this paper we initiate the study of such extremal multipartite graph problems, obtaining a number of results and providing many new constructions, conjectures and further questions.

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Sweden
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Keywords

Extremal problems in graph theory, Discrete Mathematics, Transversal (matching) theory, Random graphs (graph-theoretic aspects), FOS: Mathematics, Mathematics - Combinatorics, extremal multipartite graph problems, Combinatorics (math.CO), Diskret matematik

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
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