Asymptotic normality of the k-core in random graphs
Janson, Svante ; Luczak, Malwina J.
Ann. Appl. Probab., Tome 18 (2008) no. 1, p. 1085-1137 / Harvested from Project Euclid
We study the k-core of a random (multi)graph on n vertices with a given degree sequence. In our previous paper [Random Structures Algorithms 30 (2007) 50–62] 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).
Publié le : 2008-06-15
Classification:  Cores,  random graphs,  balls and bins,  central limit theorem,  05C80
@article{1211819795,
     author = {Janson, Svante and Luczak, Malwina J.},
     title = {Asymptotic normality of the k-core in random graphs},
     journal = {Ann. Appl. Probab.},
     volume = {18},
     number = {1},
     year = {2008},
     pages = { 1085-1137},
     language = {en},
     url = {http://dml.mathdoc.fr/item/1211819795}
}
Janson, Svante; Luczak, Malwina J. Asymptotic normality of the k-core in random graphs. Ann. Appl. Probab., Tome 18 (2008) no. 1, pp.  1085-1137. http://gdmltest.u-ga.fr/item/1211819795/