English

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

Combinatorics 2015-12-16 v3 Probability

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 1p1-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 n1n-1. For a constant cc, we show that asymptotically almost surely the length of the longest path is at least (1(1+ϵ(c))cec)n(1-(1+\epsilon(c))ce^{-c})n for some function ϵ(c)0\epsilon(c)\to 0 as cc\to \infty, and the length of the longest cycle is a least (1O(c15))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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Cite

@article{arxiv.1510.09166,
  title  = {Long paths and cycles in random subgraphs of graphs with large minimum degree},
  author = {Stefan Ehard and Felix Joos},
  journal= {arXiv preprint arXiv:1510.09166},
  year   = {2015}
}

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13 pages