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Article . 2013 . Peer-reviewed
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Nordhaus-Gaddum Theorem for the Distinguishing Chromatic Number

Nordhaus-Gaddum theorem for the distinguishing chromatic number
Authors: Karen L. Collins; Ann N. Trenk;

Nordhaus-Gaddum Theorem for the Distinguishing Chromatic Number

Abstract

Nordhaus and Gaddum proved, for any graph $G$, that $\chi(G) + \chi(\overline{G}) \leq n + 1$, where $\chi$ is the chromatic number and $n=|V(G)|$. Finck characterized the class of graphs, which we call NG-graphs, that satisfy equality in this bound. In this paper, we provide a new characterization of NG-graphs, based on vertex degrees, which yields a new polynomial-time recognition algorithm and efficient computation of the chromatic number of NG-graphs. Our motivation comes from our theorem that generalizes the Nordhaus-Gaddum theorem to the distinguishing chromatic number. For any graph $G$, $\chi_D(G) +\chi_D(\overline{G})\leq n+D(G)$. We call the set of graphs that satisfy equality in this bound NGD-graphs, and characterize the set of graphs that are simultaneously NG-graphs and NGD-graphs.

Related Organizations
Keywords

FOS: Computer and information sciences, Discrete Mathematics (cs.DM), Group Theory (math.GR), Graphs and abstract algebra (groups, rings, fields, etc.), Coloring of graphs and hypergraphs, distinguishing chromatic number, Graph theory (including graph drawing) in computer science, FOS: Mathematics, Mathematics - Combinatorics, Combinatorics (math.CO), Mathematics - Group Theory, distinguishing number, Nordhaus-Gaddum theorem, 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!
5
Average
Top 10%
Average
Green
gold