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A Sharp Threshold for Network Reliability

Published online by Cambridge University Press:  09 October 2002

MICHAEL KRIVELEVICH
Affiliation:
Department of Mathematics, Raymond and Beverly Sackler Faculty of Exact Sciences, Tel Aviv University, Tel Aviv 69978, Israel (e-mail: [email protected])
BENNY SUDAKOV
Affiliation:
Department of Mathematics, Princeton University, Princeton, NJ 08540, USA and Institute for Advanced Study, Princeton, NJ 08540, USA (e-mail: [email protected])
VAN H. VU
Affiliation:
Theory Group, Microsoft Research, Redmond, WA 98052, USA (e-mail: [email protected]; Web: http://www.math.ucsd.edu/˜vanvu)

Abstract

Given a graph G on n vertices with average degree d, form a random subgraph Gp by choosing each edge of G independently with probability p. Strengthening a classical result of Margulis we prove that, if the edge connectivity k(G) satisfies k(G) [Gt ] d/log n, then the connectivity threshold in Gp is sharp. This result is asymptotically tight.

Type
Research Article
Copyright
2002 Cambridge University Press

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