Long paths and cycles in random subgraphs of graphs with large minimum degree

Abstract

For a graph $G$ and $p\in [0,1]$, let $G_p$ arise from $G$ by deleting every edge mutually independently with probability $1-p$. The random graph model $(K_n{)}_p$ is certainly the most investigated random graph model and also known as the $G(n,p)$-model. We show that several results concerning the length of the longest path/cycle naturally translate to $G_p$ if $G$ is an arbitrary graph of minimum degree at least $n-1$. For a constant $c$, we show that asymptotically almost surely the length of the longest path is at least $(1-(1+\epsilon (c))c{e}^{-c})n$ for some function $\epsilon (c)\to 0$ as $c\to \infty$, and the length of the longest cycle is a least $(1-O(c^{-\frac{1}{5}}))n$. The first result is asymptotically best-possible. This extents several known results on the length of the longest path/cycle of a random graph in the $G(n,p)$-model.

13 pages