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The Maximum Degree of a Random Graph

Published online by Cambridge University Press:  09 April 2001

OLIVER RIORDAN
Affiliation:
Trinity College, Cambridge CB2 1TQ, England
ALEX SELBY
Affiliation:
Department of Pure Mathematics and Mathematical Statistics, 16 Mill Lane, Cambridge CB2 1SB, England

Abstract

Let 0 < p < 1, q = 1 − p and b be fixed and let G ∈ [Gscr ](n, p) be a graph on n vertices where each pair of vertices is joined independently with probability p. We show that the probability that every vertex of G has degree at most pn + bnpq is equal to (c + o(1))n, for c = c(b) the root of a certain equation. Surprisingly, c(0) = 0.6102 … is greater than ½ and c(b) is independent of p. To obtain these results we consider the complete graph on n vertices with weights on the edges. Taking these weights as independent normal N(p, pq) random variables gives a ‘continuous’ approximation to [Gscr ](n, p) whose degrees are much easier to analyse.

Type
Research Article
Copyright
2000 Cambridge University Press

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