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Revealing Neural Circuit Topography in Multi-Color
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Published on: November 14, 2011

Hypergraph coloring complexes.

Felix Breuer1, Aaron Dall, Martina Kubitzke

  • 1Fachbereich Mathematik und Informatik, Freie Universität Berlin, Arnimallee 3, D-14195 Berlin, Germany.

Discrete Mathematics
|March 14, 2013
PubMed
Summary
This summary is machine-generated.

This study generalizes graph coloring complexes to hypergraphs, finding many graph properties do not apply. New bounds for hypergraph chromatic polynomials are derived from the generalized coloring complex.

Keywords:
Chromatic polynomialCohen–MacaulayColoring complexEhrhart theoryHypergraphWedge lemma

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Area of Science:

  • Combinatorics
  • Algebraic Topology
  • Graph Theory

Background:

  • Coloring complexes are essential tools in graph theory.
  • Generalizing these complexes to hypergraphs presents unique challenges and opportunities.

Purpose of the Study:

  • To extend the concept of coloring complexes from graphs to hypergraphs.
  • To investigate the properties of these hypergraph coloring complexes.
  • To derive new bounds for hypergraph chromatic polynomials.

Main Methods:

  • Developed three interpretations of hypergraph coloring complexes: combinatorial and two geometric.
  • Analyzed the properties of these complexes, including Cohen-Macaulayness and partitionability.
  • Derived bounds for the - and -vectors of hypergraph coloring complexes.

Main Results:

  • Most graph coloring complex properties, such as Cohen-Macaulayness, do not generalize to hypergraphs.
  • Established new bounds for hypergraph chromatic polynomials using the generalized coloring complex.
  • Characterized hypergraphs for which the coloring complex is connected.
  • Provided an example showing hypergraph coloring complex decomposition is not always a wedge of spheres.

Conclusions:

  • The generalization of coloring complexes to hypergraphs reveals significant differences from their graph counterparts.
  • The study provides valuable new bounds for hypergraph chromatic polynomials.
  • Further research is needed to fully understand the topological properties of hypergraph coloring complexes.