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The cover time of two classes of random graphs
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Proceedings of the sixteenth annual ACM-SIAM symposium on Discrete algorithms table of contents
Vancouver, British Columbia
SESSION: Session 11B table of contents
Pages: 961 - 970  
Year of Publication: 2005
ISBN:0-89871-585-7
Authors
Colin Cooper  University of London, London, UK
Alan Frieze  Carnegie Mellon University, Pittsburgh
Sponsors
SIGACT: ACM Special Interest Group on Algorithms and Computation Theory
: SIAM Activity Group on Discrete Mathematics
Publisher
Society for Industrial and Applied Mathematics  Philadelphia, PA, USA
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ABSTRACT

Let G = (V,E) be a connected graph, let |V| = n, and |E| = m. A random walk Wu, uV on the undirected graph G = (V, E) is a Markov chain X0 = u, X1,...Xt,...V associated to a particle that moves from vertex to vertex according to the following rule: the probability of a transition from vertex i, of degree di, to vertex j is 1/di if {i,j} ∈ E, and 0 otherwise. For uV let Cu be the expected time taken for Wu to visit every vertex of G. The cover time CG of G is defined as CG = maxuV Cu. The cover time of connected graphs has been extensively studied. It is a classic result of Aleliunas, Karp, Lipton, Lovász and Rackoff [2] that CG ≤ 2m(n - 1). It was shown by Feige [11], [12], that for any connected graph G[EQUATION]The lower bound is achieved by (for example) the complete graph Kn, whose cover time is determined by the Coupon Collector problem.


REFERENCES

Note: OCR errors may be found in this Reference List extracted from the full text article. ACM has opted to expose the complete List rather than only correct and linked references.

 
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Collaborative Colleagues:
Colin Cooper: colleagues
Alan Frieze: colleagues