The process of fluctuations of the giant component of an Erdős-Rényi graph
Year: 2025
Type: article
Abstract: We consider the usual increasing process (ER(n,t∕n))0≤t≤n of Erdős-Rényi random graphs, with n vertices and mean degree t. It is well-known that when t>1, the graph ER(n,t∕n) admits a giant component whose number of vertices satisfies a central limit theorem for a fixed t when n goes to infinity. The purpose of this work is to provide a functional central limit theorem for the number of vertices of the giant component as t varies and to identify the covariance of the limiting Gaussian process.
DOI: 10.1214/25-ejp1388
Authors: Nathanaël Enriquez, Gabriel Faraud, Sophie Lemaire
Language: English
Subfield: Mathematical Physics
Field: Mathematics
Domain: Physical Sciences
Open Access status: gold
Estimated APC paid: $675
OpenAlex ID: W4413042191
