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

preprint2015arXivOpen access

Abstract

For a graph GG and p∈[0,1]p\in [0,1], let GpG_p arise from GG by deleting every edge mutually independently with probability 1−p1-p. The random graph model (Kn)p(K_n)_p is certainly the most investigated random graph model and also known as the G(n,p)G(n,p)-model. We show that several results concerning the length of the longest path/cycle naturally translate to GpG_p if GG is an arbitrary graph of minimum degree at least n−1n-1. For a constant cc, we show that asymptotically almost surely the length of the longest path is at least (1−(1+ε(c))ce−c)n(1-(1+ε(c))ce^{-c})n for some function ε(c)→0ε(c)\to 0 as c→∞c\to \infty, and the length of the longest cycle is a least (1−O(c−15))n(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)G(n,p)-model.

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