S-T connectivity on digraphs with a known stationary distribution

  • Authors:
  • Kai-Min Chung;Omer Reingold;Salil Vadhan

  • Affiliations:
  • Harvard University, Oxford, Cambridge, MA;Microsoft Research SVC, Mountain View, CA;Harvard University, Oxford, Cambridge, MA

  • Venue:
  • ACM Transactions on Algorithms (TALG)
  • Year:
  • 2011

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Abstract

We present a deterministic logspace algorithm for solving S-T Connectivity on directed graphs if: (i) we are given a stationary distribution of the random walk on the graph in which both of the input vertices s and t have nonnegligible probability mass and (ii) the random walk which starts at the source vertex s has polynomial mixing time. This result generalizes the recent deterministic logspace algorithm for S-T Connectivity on undirected graphs [Reingold, 2008]. It identifies knowledge of the stationary distribution as the gap between the S-T Connectivity problems we know how to solve in logspace (L) and those that capture all of randomized logspace (RL).