Hamiltonian Berge cycles in random hypergraphs

Author:

Bal Deepak,Berkowitz Ross,Devlin Pat,Schacht Mathias

Abstract

AbstractIn this note we study the emergence of Hamiltonian Berge cycles in random r-uniform hypergraphs. For $r\geq 3$ we prove an optimal stopping time result that if edges are sequentially added to an initially empty r-graph, then as soon as the minimum degree is at least 2, the hypergraph with high probability has such a cycle. In particular, this determines the threshold probability for Berge Hamiltonicity of the Erdős–Rényi random r-graph, and we also show that the 2-out random r-graph with high probability has such a cycle. We obtain similar results for weak Berge cycles as well, thus resolving a conjecture of Poole.

Publisher

Cambridge University Press (CUP)

Subject

Applied Mathematics,Computational Theory and Mathematics,Statistics and Probability,Theoretical Computer Science

Reference20 articles.

1. Limit distribution for the existence of hamiltonian cycles in a random graph

2. Hamilton cycles in 3-out

3. [20] Poole, D. (2014) On weak Hamiltonicity of a random hypergraph. arXiv:1410.7446

4. Hamilton cycles in random graphs and directed graphs

5. [18] Kühn, D. and Osthus, D. (2014) Hamilton cycles in graphs and hypergraphs: an extremal perspective. Proceedings of the International Congress of Mathematicians—Seoul 2014. Vol. IV, 381–406, Kyung Moon Sa, Seoul.

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