A Sufficient Condition for the Hamiltonicity of Vertex Envelopes of Plane Graphs

We explore a sufficient condition for the hamiltonicity of vertex envelopes of plane graphs. In particular we show that if a plane graph G contains an independent set of vertices [Formula: see text] such that [Formula: see text] is a tree, then its vertex envelope [Formula: see text] is Hamiltonian. Based on this criteria, we identify classes of plane graphs whose vertex envelopes are Hamiltonian. We also describe constructions that produce plane graphs whose vertex envelopes are Hamiltonian, and investigate the hamiltonicity of graphs obtained through edge subdivisions.

Authors

Institutions

Publication Details

Journal
Model Assisted Statistics and Applications
Published
2024-11-01
DOI
https://doi.org/10.1177/15741699241306813
Primary Topic
Advanced Graph Theory Research
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

A Sufficient Condition for the Hamiltonicity of Vertex Envelopes of Plane Graphs

Michael T. Muzheve
Model Assisted Statistics and Applications
Advanced Graph Theory Research
article

A Sufficient Condition for the Hamiltonicity of Vertex Envelopes of Plane Graphs

Michael T. Muzheve
article en

Abstract

We explore a sufficient condition for the hamiltonicity of vertex envelopes of plane graphs. In particular we show that if a plane graph G contains an independent set of vertices [Formula: see text] such that [Formula: see text] is a tree, then its vertex envelope [Formula: see text] is Hamiltonian. Based on this criteria, we identify classes of plane graphs whose vertex envelopes are Hamiltonian. We also describe constructions that produce plane graphs whose vertex envelopes are Hamiltonian, and investigate the hamiltonicity of graphs obtained through edge subdivisions.

Model Assisted Statistics and ApplicationsVol. 19(4)
Texas A&M University – Kingsville (US)
Openalex Percentile: Top 69%
Advanced Graph Theory Research
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.