On Density Conditions for Transversal Trees in Multipartite Graphs

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.

Authors

Institutions

Publication Details

Journal
The Electronic Journal of Combinatorics
Published
2024-11-28
DOI
https://doi.org/10.37236/12463
Primary Topic
Graph theory and applications
Type
article
Field-Weighted Citation Impact
0.00

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

On Density Conditions for Transversal Trees in Multipartite Graphs

Maryam Sharifzadeh, Leila Badakhshian, Victor Falgas‐Ravry
The Electronic Journal of Combinatorics
Graph theory and applications
article

On Density Conditions for Transversal Trees in Multipartite Graphs

Maryam Sharifzadeh, Leila Badakhshian, Victor Falgas‐Ravry
article en

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.

The Electronic Journal of CombinatoricsVol. 31(4)
Umeå University (SE)
Vetenskapsrådet, Umeå Universitet
Openalex Percentile: Top 67%
Graph theory and applications
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.