Functional Central limit theorems for microscopic and macroscopic functionals of inhomogeneous random graphs

Fuente: arXiv
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Main Authors: Bhamidi, Shankar, Budhiraja, Amarjit, Sakanaveeti, Akshay
Format: Preprint
Published: 2024
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_version_ 1866909460134363136
author Bhamidi, Shankar
Budhiraja, Amarjit
Sakanaveeti, Akshay
author_facet Bhamidi, Shankar
Budhiraja, Amarjit
Sakanaveeti, Akshay
contents We study inhomogeneous random graphs with a finite type space. For a natural generalization of the model as a dynamic network-valued process, the paper establishes the following results: (a) Functional central limit theorems for the infinite vector of microscopic type-densities and characterizations of the limits as infinite-dimensional conditionally Gaussian processes in a certain Banach space. (b) Functional (joint) central limit theorems for macroscopic observables of the giant component in the supercritical regime including size, surplus and number of vertices of various types in the giant component. As a corollary this provides central limit theorems for the size of the largest connected component, its surplus, and its type vector, for percolation on dense graphs obtained from a finite type Graphon. (c) Central limit theorem for the weight of the minimum spanning tree with random i.i.d. Exponential edge weights on dense graph sequences driven by an underlying finite type graphon.
format Preprint
id arxiv_https___arxiv_org_abs_2412_13672
institution arXiv
publishDate 2024
record_format arxiv
spellingShingle Functional Central limit theorems for microscopic and macroscopic functionals of inhomogeneous random graphs
Bhamidi, Shankar
Budhiraja, Amarjit
Sakanaveeti, Akshay
Probability
60K35, 05C80
We study inhomogeneous random graphs with a finite type space. For a natural generalization of the model as a dynamic network-valued process, the paper establishes the following results: (a) Functional central limit theorems for the infinite vector of microscopic type-densities and characterizations of the limits as infinite-dimensional conditionally Gaussian processes in a certain Banach space. (b) Functional (joint) central limit theorems for macroscopic observables of the giant component in the supercritical regime including size, surplus and number of vertices of various types in the giant component. As a corollary this provides central limit theorems for the size of the largest connected component, its surplus, and its type vector, for percolation on dense graphs obtained from a finite type Graphon. (c) Central limit theorem for the weight of the minimum spanning tree with random i.i.d. Exponential edge weights on dense graph sequences driven by an underlying finite type graphon.
title Functional Central limit theorems for microscopic and macroscopic functionals of inhomogeneous random graphs
topic Probability
60K35, 05C80
url https://arxiv.org/abs/2412.13672