Loose Hamilton Cycles in Random 3-Uniform Hypergraphs
Alan Frieze

TL;DR
This paper proves that in a random 3-uniform hypergraph, a loose Hamilton cycle appears with high probability when the edge probability exceeds a certain threshold proportional to log n/n^2.
Contribution
It establishes a sharp threshold for the existence of loose Hamilton cycles in random 3-uniform hypergraphs, advancing understanding of their probabilistic properties.
Findings
Loose Hamilton cycles appear with high probability above the threshold p>K log n/n^2.
The threshold for cycle existence is explicitly characterized.
The result confirms a conjecture about cycle thresholds in random hypergraphs.
Abstract
In the random hypergraph H=H(n,p;3) each possible triple appears independently with probability p. A loose Hamilton cycle can be described as a sequence of edges {x_i,y_i,x_{i+1}\} for i=1,2,...,n/2. We prove that there exists an absolute constant K>0 such that if p>K\log n/n^2 then lim_{n->oo 4 |n}}Pr(H(n,p;3) contains a loose Hamilton cycle)=1.
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Taxonomy
TopicsAlgorithms and Data Compression · RNA Research and Splicing · Cellular Automata and Applications
