Improved approximation of the minimum cover time

  • Authors:
  • Eden Chlamtac;Uriel Feige

  • Affiliations:
  • Princeton University, Princeton, NJ;Department of Computer Science and Applied Mathematics, The Weizmann Institute of Science, Rehovot, Israel

  • Venue:
  • Theoretical Computer Science
  • Year:
  • 2005

Quantified Score

Hi-index 5.23

Visualization

Abstract

Feige and Rabinovich, in [Feige and Rabinovich, Rand. Struct. Algorithms 23(1) (2003) 1-22], gave a deterministic O(log4n) approximation for the time it takes a random walk to cover a given graph starting at a given vertex. This approximation algorithm was shown to work for arbitrary reversible Markov chains. We build on the results of [Feige and Rabinovich, Rand. Struct. Algorithms 23(1) (2003) 1-22], and show that the original algorithm gives a O(log2n) approximation as it is, and that it can be modified to give a O(log n(log log n)2) approximation. Moreover, we show that given any c(n)-approximation algorithm for the maximum cover time (maximized over all initial vertices) of a reversible Markov chain, we can give a corresponding algorithm for the general cover time (of a random walk or reversible Markov chain) with approximation ratio O(c(n) log n).