Asymptotic normality of the k-core in random graphs
S Janson, MJ Luczak - 2008 - projecteuclid.org
S Janson, MJ Luczak
2008•projecteuclid.orgWe 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 …
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 …
Abstract
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).
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