S-T connectivity on digraphs with a known stationary distribution

Author:

Chung Kai-Min1,Reingold Omer2,Vadhan Salil1

Affiliation:

1. Harvard University, Oxford, Cambridge, MA

2. Microsoft Research SVC, Mountain View, CA

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 ).

Funder

Division of Computing and Communication Foundations

United States-Israel Binational Science Foundation

Office of Naval Research

Publisher

Association for Computing Machinery (ACM)

Subject

Mathematics (miscellaneous)

Reference25 articles.

1. Aldous D. and Fill J. A. 2001. Reversible markov chains and random walks on graphs. Monograph in preparation http://www.stat.berkeley.edu/~aldous/RWG/book.html. Aldous D. and Fill J. A. 2001. Reversible markov chains and random walks on graphs. Monograph in preparation http://www.stat.berkeley.edu/~aldous/RWG/book.html.

2. Random walks, universal traversal sequences, and the complexity of maze problems

3. How to Generate Cryptographically Strong Sequences of Pseudorandom Bits

4. S-T Connectivity on Digraphs with a Known Stationary Distribution

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