Issue |
RAIRO-Oper. Res.
Volume 58, Number 3, May-June 2024
|
|
---|---|---|
Page(s) | 2055 - 2073 | |
DOI | https://doi.org/10.1051/ro/2024068 | |
Published online | 06 May 2024 |
The hardness of recognising poorly matchable graphs and the hunting of the d-snark*
1
Academic Department of Informatics, Federal University of Technology, Paraná, Brazil
2
Department of Informatics, Federal University of Paraná, Paraná, Brazil
3
Institute of Computing, Fluminense Federal University, Rio de Janeiro, Brazil
4
Alberto Luiz Coimbra Institute for Graduate Studies and Research in Engineering, Federal University of Rio de Janeiro, Rio de Janeiro, Brazil
* Corresponding author: zatesko@utfpr.edu.br
Received:
23
January
2023
Accepted:
13
March
2024
An r-graph is an r-regular graph G on an even number of vertices where every odd set X ⊆ V (G) is connected by at least r edges to its complement V (G) \ X. Every r-graph has a perfect matching and in a poorly matchable r-graph every pair of perfect matchings intersect, which implies that poorly matchable r-graphs are not r-edge-colourable. We prove, for each fixed r ≥ 3, that poorly matchable r-graph recognition is coNP-complete, an indication that, for each odd d ≥ 3, it may be a hard problem to recognise d-regular (d − 1)-edge-connected non-d-edge-colourable graphs, referred to as d-snarks in this paper. We show how to construct, for every fixed odd d ≥ 5, an infinite family of d-snarks. These families provide a natural extension to the well-known Loupekine snarks. We also discuss how the hunting of the smallest d-snarks may help in strengthening and better understanding the major Overfull Conjecture on edge-colouring simple graphs.
Mathematics Subject Classification: 05C75 / 68Q17 / 05C70 / 05C15 / 05C40
Key words: Graph classes / Factorisation / graph colouring / connectivity / snarks / computational complexity
© The authors. Published by EDP Sciences, ROADEF, SMAI 2024
This is an Open Access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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