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Discrete Applied Mathematics
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Packing chromatic number of distance graphs

Authors: Jan Ekstein; Premysl Holub; Bernard Lidický;

Packing chromatic number of distance graphs

Abstract

The packing chromatic number $χ_ρ(G)$ of a graph $G$ is the smallest integer $k$ such that vertices of $G$ can be partitioned into disjoint classes $X_1, ..., X_k$ where vertices in $X_i$ have pairwise distance greater than $i$. We study the packing chromatic number of infinite distance graphs $G(Z, D)$, i.e. graphs with the set $Z$ of integers as vertex set and in which two distinct vertices $i, j \in Z$ are adjacent if and only if $|i - j| \in D$. In this paper we focus on distance graphs with $D = \{1, t\}$. We improve some results of Togni who initiated the study. It is shown that $χ_ρ(G(Z, D)) \leq 35$ for sufficiently large odd $t$ and $χ_ρ(G(Z, D)) \leq 56$ for sufficiently large even $t$. We also give a lower bound 12 for $t \geq 9$ and tighten several gaps for $χ_ρ(G(Z, D))$ with small $t$.

13 pages, 3 figures

Keywords

FOS: Computer and information sciences, Distance in graphs, Discrete Mathematics (cs.DM), Distance graph, Applied Mathematics, Packing coloring, 05C12, 05C15, G.2.2, packing coloring, distance graph, packing chromatic number, Coloring of graphs and hypergraphs, FOS: Mathematics, Discrete Mathematics and Combinatorics, Mathematics - Combinatorics, Combinatorics (math.CO), Packing chromatic number, 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!
13
Top 10%
Top 10%
Top 10%
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