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Nonrepetitive colorings of lexicographic product of graphs

Authors: Balázs Keszegh; Balázs Patkós; Xuding Zhu;

Nonrepetitive colorings of lexicographic product of graphs

Abstract

Special issue PRIMA 2013 A coloring c of the vertices of a graph G is nonrepetitive if there exists no path v1v2\textellipsisv2l for which c(vi)=c(vl+i) for all 1<=i<=l. Given graphs G and H with |V(H)|=k, the lexicographic product G[H] is the graph obtained by substituting every vertex of G by a copy of H, and every edge of G by a copy of Kk,k. We prove that for a sufficiently long path P, a nonrepetitive coloring of P[Kk] needs at least 3k+&#x230A;k/2&#x230B; colors. If k>2 then we need exactly 2k+1 colors to nonrepetitively color P[Ek], where Ek is the empty graph on k vertices. If we further require that every copy of Ek be rainbow-colored and the path P is sufficiently long, then the smallest number of colors needed for P[Ek] is at least 3k+1 and at most 3k+&#x2308;k/2&#x2309;. Finally, we define fractional nonrepetitive colorings of graphs and consider the connections between this notion and the above results.

Keywords

[INFO.INFO-DM] Computer Science [cs]/Discrete Mathematics [cs.DM], Discrete Mathematics, discrete mathematics, QA1-939, FOS: Mathematics, [info.info-dm] computer science [cs]/discrete mathematics [cs.dm], Mathematics - Combinatorics, Combinatorics (math.CO), 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!
0
Average
Average
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