Large Deviation Principle for the Maximal Eigenvalue of Inhomogeneous Erdős-Rényi Random Graphs.

Autor: Chakrabarty, Arijit, Hazra, Rajat Subhra, Hollander, Frank den, Sfragara, Matteo
Zdroj: Journal of Theoretical Probability; Dec2022, Vol. 35 Issue 4, p2413-2441, 29p
Abstrakt: We consider an inhomogeneous Erdős-Rényi random graph G N with vertex set [ N ] = { 1 , ⋯ , N } for which the pair of vertices i , j ∈ [ N ] , i ≠ j , is connected by an edge with probability r (i N , j N) , independently of other pairs of vertices. Here, r : [ 0 , 1 ] 2 → (0 , 1) is a symmetric function that plays the role of a reference graphon. Let λ N be the maximal eigenvalue of the adjacency matrix of G N . It is known that λ N / N satisfies a large deviation principle as N → ∞ . The associated rate function ψ r is given by a variational formula that involves the rate function I r of a large deviation principle on graphon space. We analyse this variational formula in order to identify the properties of ψ r , specially when the reference graphon is of rank 1. [ABSTRACT FROM AUTHOR]
Databáze: Complementary Index