English

On the trace of random walks on random graphs

Combinatorics 2017-12-13 v2 Probability

Abstract

We study graph-theoretic properties of the trace of a random walk on a random graph. We show that for any ε>0\varepsilon>0 there exists C>1C>1 such that the trace of the simple random walk of length (1+ε)nlnn(1+\varepsilon)n\ln{n} on the random graph GG(n,p)G\sim G(n,p) for p>Clnn/np>C\ln{n}/n is, with high probability, Hamiltonian and Θ(lnn)\Theta(\ln{n})-connected. In the special case p=1p=1 (i.e. when G=KnG=K_n), we show a hitting time result according to which, with high probability, exactly one step after the last vertex has been visited, the trace becomes Hamiltonian, and one step after the last vertex has been visited for the kk'th time, the trace becomes 2k2k-connected.

Keywords

Cite

@article{arxiv.1508.07355,
  title  = {On the trace of random walks on random graphs},
  author = {Alan Frieze and Michael Krivelevich and Peleg Michaeli and Ron Peled},
  journal= {arXiv preprint arXiv:1508.07355},
  year   = {2017}
}

Comments

32 pages, revised version

R2 v1 2026-06-22T10:44:05.480Z