Conder, Marston and Stokes, Klara (2019) New methods for finding minimum genus embeddings of graphs on orientable and non-orientable surfaces. Ars Mathematica Contemporanea, 17 (1). pp. 1-35. ISSN 1855-3966
Preview
KS_new methods.pdf
Download (434kB) | Preview
Abstract
The question of how to find the smallest genus of all embeddings of a given finite connected
graph on an orientable (or non-orientable) surface has a long and interesting history.
In this paper we introduce four new approaches to help answer this question, in both the
orientable and non-orientable cases. One approach involves taking orbits of subgroups of
the automorphism group on cycles of particular lengths in the graph as candidates for subsets
of the faces of an embedding. Another uses properties of an auxiliary graph defined
in terms of compatibility of these cycles. We also present two methods that make use
of integer linear programming, to help determine bounds for the minimum genus, and to
find minimum genus embeddings. This work was motivated by the problem of finding the
minimum genus of the Hoffman-Singleton graph, and succeeded not only in solving that
problem but also in answering several other open questions.
Item Type: | Article |
---|---|
Additional Information: | This work is licensed under https://creativecommons.org/licenses/by/4.0/ |
Keywords: | Graph embedding; genus; |
Academic Unit: | Faculty of Science and Engineering > Electronic Engineering |
Item ID: | 14074 |
Identification Number: | 10.26493/1855-3974.1800.40c |
Depositing User: | Klara Stokes |
Date Deposited: | 24 Feb 2021 17:41 |
Journal or Publication Title: | Ars Mathematica Contemporanea |
Publisher: | Society of Mathematics, Physicists and Astronomers of Slovenia |
Refereed: | Yes |
Related URLs: | |
URI: | https://mural.maynoothuniversity.ie/id/eprint/14074 |
Use Licence: | This item is available under a Creative Commons Attribution Non Commercial Share Alike Licence (CC BY-NC-SA). Details of this licence are available here |
Repository Staff Only (login required)
Downloads
Downloads per month over past year