JOURNAL ARTICLE

Ban–Linial's Conjecture and treelike snarks

Jean Paul Zerafa

Year: 2022 Journal:   Journal of Graph Theory Vol: 101 (3)Pages: 511-520   Publisher: Wiley

Abstract

Abstract A bridgeless cubic graph is said to have a 2‐bisection if there exists a 2‐vertex‐colouring of (not necessarily proper) such that: (i) the colour classes have the same cardinality, and (ii) the monochromatic components are either an isolated vertex or an edge. In 2016, Ban and Linial conjectured that every bridgeless cubic graph, apart from the well‐known Petersen graph, admits a 2‐bisection. In the same paper it was shown that every Class I bridgeless cubic graph admits such a bisection. The Class II bridgeless cubic graphs which are critical to many conjectures in graph theory are known as snarks, in particular, those with excessive index at least 5, that is, whose edge set cannot be covered by four perfect matchings. Moreover, Esperet et al. state that a possible counterexample to Ban–Linial's Conjecture must have circular flow number at least 5. The same authors also state that although empirical evidence shows that several graphs obtained from the Petersen graph admit a 2‐bisection, they can offer nothing in the direction of a general proof. Despite some sporadic computational results, until now, no general result about snarks having excessive index and circular flow number both at least 5 has been proven. In this study we show that treelike snarks, which are an infinite family of snarks heavily depending on the Petersen graph and with both their circular flow number and excessive index at least 5, admit a 2‐bisection.

Keywords:
Petersen graph Cubic graph Mathematics Combinatorics Conjecture Counterexample Vertex (graph theory) Discrete mathematics Line graph Graph Graph power Voltage graph

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Citation History

Topics

Advanced Graph Theory Research
Physical Sciences →  Computer Science →  Computational Theory and Mathematics
Limits and Structures in Graph Theory
Physical Sciences →  Mathematics →  Discrete Mathematics and Combinatorics
Complexity and Algorithms in Graphs
Physical Sciences →  Computer Science →  Computational Theory and Mathematics

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