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https://doi.org/10.51408/csit2...
Article . 2023 . Peer-reviewed
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Strong Edge-Coloring of Hamming Graphs

Authors: Drambyan, A.; Petrosyan, P.;

Strong Edge-Coloring of Hamming Graphs

Abstract

An edge coloring of a graph G is a mapping Á : EG ! N. The edge coloring Á is called strong if Áe 6= Áe0 for any two edges e and e0 that are distance at most one apart. The minimum number of colors needed for a strong edge coloring of a graph G is called strong chromatic index of G and denoted by Â0 sG. Strong edge colorings of graphs were introduced by Fouquet and Jolivet [1]. Clearly, Â0 sG cedil; cent;G for any graph G. In 1985, during a seminar in Prague, Erd˝os and Ne˘set˘ril put forward the following conjecture.Conjecture 1. For every graph G with maximum degree cent;,formulaErd˝os and Ne˘set˘ril provided a construction showing that Conjecture 1 is tight if itrsquo;s true. In 1997, using probabilistic method, Molloy and Reed [3] showed that Â0 sG middot; 1:9982cent; for a graph G with sufficiently large cent;. The currently best known upper bound for a graph G is 1:932cent;, due to Bruhn and Joos [2]. The Hamming graph Hn;m is the Cartesian product of n copies of the complete graph Km n;m 2 N. Theorem 1. Let Hn;m be a Hamming graph with m cedil; 2. Thenformulaand the upper bound is sharp for m = 2. Theorem 2. Let Hn; 3 be a Hamming graph. Thenformulaand the upper bound is sharp for n = 3.

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Moldova (Republic of)
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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!
0
Average
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