On Hamilton cycles in Erdos-R\'enyi subgraphs of large graphs

Abstract

Given a graph = (V, E) on n vertices and m edges, we define the Erdos-R\'enyi graph process with host as follows. A permutation e1,…,em of E is chosen uniformly at random, and for t≤ m we let t = (V, \e1,…,et\). Suppose the minimum degree of is δ() ≥ (1/2 + )n for some constant > 0. Then with high probability, t becomes Hamiltonian at the same moment that its minimum degree becomes at least two. Given 0≤ p≤ 1 we let p be the Erdos-R\'enyi subgraph of , obtained by retaining each edge independently with probability p. When δ()≥ (1/2 + )n, we provide a threshold function p0 for Hamiltonicity, such that if (p-p0)n -∞ then p is not Hamiltonian whp, and if (p-p0)n∞ then p is Hamiltonian whp.

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