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Generation of cycle permutation graphs and permutation snarks

Authors: Jan Goedgebeur; Jarne Renders; Steven Van Overberghe;

Generation of cycle permutation graphs and permutation snarks

Abstract

We present an algorithm for the efficient generation of all pairwise non-isomorphic cycle permutation graphs, i.e. cubic graphs with a $2$-factor consisting of two chordless cycles, non-hamiltonian cycle permutation graphs and permutation snarks, i.e. cycle permutation graphs that do not admit a $3$-edge-colouring. This allows us to generate all cycle permutation graphs up to order $34$ and all permutation snarks up to order $46$, improving upon previous computational results by Brinkmann et al. Moreover, we give several improved lower bounds for interesting permutation snarks, such as for a smallest permutation snark of order $6 \bmod 8$ or a smallest permutation snark of girth at least $6$ and give more evidence in support of a conjecture of Goddyn. These computational results also allow us to complete a characterisation of the orders for which non-hamiltonian cycle permutation graphs exist, answering an open question by Klee from 1972, and yield many more counterexamples to conjectures by Jackson and Zhang.

29 pages

Country
Belgium
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Keywords

FOS: Computer and information sciences, Technology, Science & Technology, Discrete Mathematics (cs.DM), Discrete Mathematics, Permutation snarks, Orderly generation, Mathematics, Applied, Non-hamiltonian, Computer Science, Software Engineering, Canonical construction path method, Cycle permutation graphs, Exhaustive generation, Computer Science, Theory & Methods, Combinatorics, Physical Sciences, Computer Science, FOS: Mathematics, Combinatorics (math.CO), Mathematics

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selected citations
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This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
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