Intersections of longest cycles in vertex-transitive and highly connected graphs

Motivated by the classical conjectures of Lovász, Thomassen, and Smith, recent work has renewed interest in the study of longest cycles in important graph families, such as vertex-transitive and highly connected graphs. In particular, Groenland et al.\ proved that if two longest cycles and in a graph share $m$ vertices, then there exists a vertex cut of size $O(m^{8/5})$ separating them, yielding improved bounds toward these conjectures. Their proof combines Turán-type arguments with computer-assisted search. We prove two results addressing problems of Babai (1979) and Smith (1984) on intersections of longest cycles in vertex-transitive and highly connected graphs. First, we strengthen the bound of Groenland et al.\ by showing that if two longest cycles and in a graph share $m$ vertices, then there exists a vertex cut of size $O(m^{3/2})$ separating them. As a consequence, we show that in every \(k\)-connected graph, any two longest cycles intersect in at least \(Ω(k^{2/3})\) vertices, improving the best known bound toward Smith's conjecture. Our proof is purely combinatorial, employing supersaturation-type estimates beyond the existing Turán-type approach. Second, we prove that in every connected vertex-transitive graph on \(n\) vertices, any two longest cycles intersect in at least \(f(n)\) vertices for some function \(f(n)\to\infty\) as \(n\to\infty\), thereby resolving a problem of Babai (1979) for the class of vertex-transitive graphs central to his original motivation. In doing so, we introduce a new method for constructing longer cycles in vertex-transitive graphs based on a given cycle, which may be of independent interest.

Publication Details

Journal
ArXiv.org
Published
2025-08-24
Primary Topic
Geochemistry and Geologic Mapping
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Intersections of longest cycles in vertex-transitive and highly connected graphs

ArXiv.org
Geochemistry and Geologic Mapping
article

Intersections of longest cycles in vertex-transitive and highly connected graphs

article en

Abstract

Motivated by the classical conjectures of Lovász, Thomassen, and Smith, recent work has renewed interest in the study of longest cycles in important graph families, such as vertex-transitive and highly connected graphs. In particular, Groenland et al.\ proved that if two longest cycles and in a graph share $m$ vertices, then there exists a vertex cut of size $O(m^{8/5})$ separating them, yielding improved bounds toward these conjectures. Their proof combines Turán-type arguments with computer-assisted search. We prove two results addressing problems of Babai (1979) and Smith (1984) on intersections of longest cycles in vertex-transitive and highly connected graphs. First, we strengthen the bound of Groenland et al.\ by showing that if two longest cycles and in a graph share $m$ vertices, then there exists a vertex cut of size $O(m^{3/2})$ separating them. As a consequence, we show that in every \(k\)-connected graph, any two longest cycles intersect in at least \(Ω(k^{2/3})\) vertices, improving the best known bound toward Smith's conjecture. Our proof is purely combinatorial, employing supersaturation-type estimates beyond the existing Turán-type approach. Second, we prove that in every connected vertex-transitive graph on \(n\) vertices, any two longest cycles intersect in at least \(f(n)\) vertices for some function \(f(n)\to\infty\) as \(n\to\infty\), thereby resolving a problem of Babai (1979) for the class of vertex-transitive graphs central to his original motivation. In doing so, we introduce a new method for constructing longer cycles in vertex-transitive graphs based on a given cycle, which may be of independent interest.

ArXiv.org
Openalex Percentile: Top 64%
Geochemistry and Geologic Mapping
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.