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Coloring Tournaments with Few Colors: Algorithms and Complexity

Coloring tournaments with few colors: algorithms and complexity
Authors: Klingelhoefer, Felix; Newman, Alantha;

Coloring Tournaments with Few Colors: Algorithms and Complexity

Abstract

A $k$-coloring of a tournament is a partition of its vertices into $k$ acyclic sets. Deciding if a tournament is 2-colorable is NP-hard. A natural problem, akin to that of coloring a 3-colorable graph with few colors, is to color a 2-colorable tournament with few colors. This problem does not seem to have been addressed before, although it is a special case of coloring a 2-colorable 3-uniform hypergraph with few colors, which is a well-studied problem with super-constant lower bounds. We present a new efficient decomposition lemma for tournaments, which we use to design polynomial-time algorithms to color various classes of tournaments with few colors, notably, to color a 2-colorable tournament with ten colors. We also use this lemma to prove equivalence between the problems of coloring 3-colorable tournaments and coloring 3-colorable graphs with constantly many colors. For the classes of tournaments considered, we complement our upper bounds with strengthened lower bounds, painting a comprehensive picture of the algorithmic and complexity aspects of coloring tournaments.

Journal version

Country
Germany
Keywords

FOS: Computer and information sciences, Analysis of algorithms and problem complexity, Directed graphs (digraphs), tournaments, Tournaments, Complexity, 004, dicoloring, Coloring of graphs and hypergraphs, Graph Coloring, Graph algorithms (graph-theoretic aspects), Computer Science - Data Structures and Algorithms, graph coloring, Data Structures and Algorithms (cs.DS), Algorithms, tournaments, ddc: ddc:004

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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
Average
Green