
arXiv: 2305.02922
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
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
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
| 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). | 0 | |
| 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. | Average | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Average | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Average |
