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On a Connectivity Threshold for Colorings of Random Graphs and Hypergraphs

Authors Michael Anastos, Alan Frieze

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Author Details

Michael Anastos
  • Carnegie Mellon University, Pittsburgh PA 15213, USA
Alan Frieze
  • Carnegie Mellon University, Pittsburgh PA 15213, USA

Funding

  • Frieze, Alan: Research supported in part by NSF grant DMS1661063.

Cite As Get BibTex

Michael Anastos and Alan Frieze. On a Connectivity Threshold for Colorings of Random Graphs and Hypergraphs. In Approximation, Randomization, and Combinatorial Optimization. Algorithms and Techniques (APPROX/RANDOM 2019). Leibniz International Proceedings in Informatics (LIPIcs), Volume 145, pp. 36:1-36:10, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2019) https://doi.org/10.4230/LIPIcs.APPROX-RANDOM.2019.36

Abstract

Let Omega_q=Omega_q(H) denote the set of proper [q]-colorings of the hypergraph H. Let Gamma_q be the graph with vertex set Omega_q where two vertices are adjacent iff the corresponding colorings differ in exactly one vertex. We show that if H=H_{n,m;k}, k >= 2, the random k-uniform hypergraph with V=[n] and m=dn/k hyperedges then w.h.p. Gamma_q is connected if d is sufficiently large and q >~ (d/log d)^{1/(k-1)}. This is optimal to the first order in d. Furthermore, with a few more colors, we find that the diameter of Gamma_q is O(n) w.h.p, where the hidden constant depends on d. So, with this choice of d,q, the natural Glauber Dynamics Markov Chain on Omega_q is ergodic w.h.p.

Subject Classification

ACM Subject Classification
  • Theory of computation
Keywords
  • Random Graphs
  • Colorings
  • Ergodicity

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