A new approach to the giant component problem

dc.creatorJanson, Svante
dc.creatorLuczak, Malwina
dc.date2007-07-12
dc.date.accessioned2026-07-07T08:16:15Z
dc.date.available2026-07-07T08:16:15Z
dc.descriptionWe study the largest component of a random (multi)graph on n vertices with a given degree sequence. We let n tend to infinity. Then, under some regularity conditions on the degree sequences, we give conditions on the asymptotic shape of the degree sequence that imply that with high probability all the components are small, and other conditions that imply that with high probability there is a giant component and the sizes of its vertex and edge sets satisfy a law of large numbers; under suitable assumptions these are the only two possibilities. In particular, we recover the results by Molloy and Reed on the size of the largest component in a random graph with a given degree sequence. We further obtain a new sharp result for the giant component just above the threshold, generalizing the case of G(n,p) with np=1+omega(n)n^{-1/3}, where omega(n) tends to infinity arbitrarily slowly. Our method is based on the properties of empirical distributions of independent random variables, and leads to simple proofs.
dc.description21 pages
dc.identifierhttps://arxiv.org/abs/0707.1786
dc.identifierhttp://arxiv.org/abs/0707.1786
dc.identifier.urihttp://salesiana.dossiersoluciones.com/handle/123456789/133713
dc.subjectCombinatorics
dc.subjectProbability
dc.subject05C80; 60C05
dc.titleA new approach to the giant component problem
dc.typetext

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