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On S-packing edge-colorings of cubic graphs

On \(S\)-packing edge-colorings of cubic graphs
Authors: Gastineau, Nicolas; Togni, Olivier;

On S-packing edge-colorings of cubic graphs

Abstract

Given a non-decreasing sequence S = (s 1,s 2,. .. ,s k) of positive integers, an S-packing edge-coloring of a graph G is a partition of the edge set of G into k subsets {X 1 ,X 2,. .. ,X k } such that for each 1 $\le$ i $\le$ k, the distance between two distinct edges e, e ' $\in$ X i is at least s i + 1. This paper studies S-packing edge-colorings of cubic graphs. Among other results, we prove that cubic graphs having a 2-factor are (1,1,1,3,3)-packing edge-colorable, (1,1,1,4,4,4,4,4)-packing edge-colorable and (1,1,2,2,2,2,2)-packing edge-colorable. We determine sharper results for cubic graphs of bounded oddness and 3-edge-colorable cubic graphs and we propose many open problems.

Country
France
Keywords

snark, FOS: Computer and information sciences, Discrete Mathematics (cs.DM), cubic graph, 511, Packing chromatic index, 510, Coloring of graphs and hypergraphs, Principes généraux des mathématiques, packing chromatic index, Edge subsets with special properties (factorization, matching, partitioning, covering and packing, etc.), d,-distance coloring, FOS: Mathematics, Mathematics - Combinatorics, Cubic graph, Snark, 004, [INFO.INFO-DM] Computer Science [cs]/Discrete Mathematics [cs.DM], \(d\)-distance coloring, S-packing chromatic index, Combinatorics (math.CO), Computer Science - Discrete Mathematics

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selected citations
These citations are derived from selected sources.
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!
12
Top 10%
Top 10%
Average
Green
bronze