Hostname: page-component-74656f9884-npj9w Total loading time: 0 Render date: 2026-11-08T18:25:59.182Z Has data issue: false hasContentIssue false

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
Rights & Permissions [Opens in a new window]

Abstract

Core share and HTML view are not available for this content. However, as you have access to this content, a full PDF is available via the 'Save PDF' action button.

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 + b √npq 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.

Information

Type
Research Article
Copyright
2000 Cambridge University Press