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The electrical resistance of a graph captures its commute and cover times
Authors:Ashok K. Chandra  Prabhakar Raghavan  Walter L. Ruzzo  Roman Smolensky  Prasoon Tiwari
Affiliation:(1) IBM Research Division, Almaden Research Center, 650 Harry Road, 95120 San Jose, CA;(2) Dept. of Computer Science and Engineering, University of Washington, Box 352350, 98195-2350 Seattle, WA;(3) IBM T.J. Watson Research Center, Box 704, 10598 Yorktown Heights, NY
Abstract:View ann-vertex,m-edge undirected graph as an electrical network with unit resistors as edges. We extend known relations between random walks and electrical networks by showing that resistance in this network is intimately connected with thelengths of random walks on the graph. For example, thecommute time between two verticess andt (the expected length of a random walk froms tot and back) is precisely characterized by the effective resistanceRst betweens andt: commute time=2mRst. As a corollary, thecover time (the expected length of a random walk visiting all vertices) is characterized by the maximum resistanceR in the graph to within a factor of logn:mR<-cover time<-O(mRlogn). For many graphs, the bounds on cover time obtained in this manner are better than those obtained from previous techniques such as the eigenvalues of the adjacency matrix. In particular, we improve known bounds on cover times for high-degree graphs and expanders, and give new proofs of known results for multi-dimensional meshes. Moreover, resistance seems to provide an intuitively appealing and tractable approach to these problems.
Keywords:Random walk  resistance  cover time  commute time
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