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Lower bounds for the critical probability in percolation models with oriented bonds

Published online by Cambridge University Press:  14 July 2016

Lawrence Gray*
Affiliation:
University of Minnesota
John C. Wierman*
Affiliation:
University of Minnesota
R. T. Smythe*
Affiliation:
University of Oregon
*
Postal address: School of Mathematics, University of Minnesota, 127 Vincent Hall, 206 Church St. S.E., Minneapolis, MN 55455, U.S.A. Research partly supported by NSF Grants MSC 7405786 and 7701845.
Postal address: School of Mathematics, University of Minnesota, 127 Vincent Hall, 206 Church St. S.E., Minneapolis, MN 55455, U.S.A. Research partly supported by NSF Grants MSC 7405786 and 7701845.
∗∗Postal address: Department of Mathematics, University of Oregon, Eugene, OR 97403, U.S.A. Research partly supported by NSF Grant MSC 7701845.

Abstract

In completely or partially oriented percolation models, a conceptually simple method, using barriers to enclose all open paths from the origin, improves the best previous lower bounds for the critical percolation probabilities.

Type
Research Papers
Copyright
Copyright © Applied Probability Trust 

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