Cookies?
Library Header Image
LSE Research Online LSE Library Services

Asymptotic normality of the k-core in random graphs

Janson, S and Luczak, Malwina (2007) Asymptotic normality of the k-core in random graphs. . London School of Economics and Political Science, London, UK.

Full text not available from this repository.

Abstract

We study the k-core of a random (multi)graph on n vertices with a given degree sequence. In our previous paper [18] we used properties of empirical distributions of independent random variables to give a simple proof of the fact that the size of the giant k-core obeys a law of large numbers as n→∞. Here we develop the method further and show that the fluctuations around the deterministic limit converge to a Gaussian law above and near the threshold, and to a non-normal law at the threshold. Further, we determine precisely the location of the phase transition window for the emergence of a giant k-core. Hence we deduce corresponding results for the k-core in G(n,p) and G(n,m).

Item Type: Monograph (Report)
Official URL: http://www.cdam.lse.ac.uk/Reports/
Additional Information: © 2007 London school of economics and political science
Divisions: Mathematics
Subjects: H Social Sciences > H Social Sciences (General)
Date Deposited: 10 Jul 2008 09:09
Last Modified: 13 Sep 2024 16:36
URI: http://eprints.lse.ac.uk/id/eprint/6810

Actions (login required)

View Item View Item