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Colorability of mixed hypergraphs and their chromatic inversions

Author

Listed:
  • Máté Hegyháti

    (University of Pannonia)

  • Zsolt Tuza

    (University of Pannonia
    Hungarian Academy of Sciences)

Abstract

We solve a long-standing open problem concerning a discrete mathematical model, which has various applications in computer science and several other fields, including frequency assignment and many other problems on resource allocation. A mixed hypergraph $$\mathcal H $$ is a triple $$(X,\mathcal C ,\mathcal D )$$ , where $$X$$ is the set of vertices, and $$\mathcal C $$ and $$\mathcal D $$ are two set systems over $$X$$ , the families of so-called C-edges and D-edges, respectively. A vertex coloring of a mixed hypergraph $$\mathcal H $$ is proper if every C-edge has two vertices with a common color and every D-edge has two vertices with different colors. A mixed hypergraph is colorable if it has at least one proper coloring; otherwise it is uncolorable. The chromatic inversion of a mixed hypergraph $$\mathcal H =(X,\mathcal C ,\mathcal D )$$ is defined as $$\mathcal H ^c=(X,\mathcal D ,\mathcal C )$$ . Since 1995, it was an open problem wether there is a correlation between the colorability properties of a hypergraph and its chromatic inversion. In this paper we answer this question in the negative, proving that there exists no polynomial-time algorithm (provided that $$P \ne NP$$ ) to decide whether both $$\mathcal H $$ and $$\mathcal H ^c$$ are colorable, or both are uncolorable. This theorem holds already for the restricted class of 3-uniform mixed hypergraphs (i.e., where every edge has exactly three vertices). The proof is based on a new polynomial-time algorithm for coloring a special subclass of 3-uniform mixed hypergraphs. Implementation in C++ programming language has been tested. Further related decision problems are investigated, too.

Suggested Citation

  • Máté Hegyháti & Zsolt Tuza, 2013. "Colorability of mixed hypergraphs and their chromatic inversions," Journal of Combinatorial Optimization, Springer, vol. 25(4), pages 737-751, May.
  • Handle: RePEc:spr:jcomop:v:25:y:2013:i:4:d:10.1007_s10878-012-9559-7
    DOI: 10.1007/s10878-012-9559-7
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