Marked random graphs with given degree sequence: large deviations on the local topology

Fuente: arXiv
Salvato in:
Dettagli Bibliografici
Autori principali: Baldasso, Rangel, Pereira, Alan, Reis, Guilherme
Natura: Preprint
Pubblicazione: 2023
Soggetti:
Accesso online:
Tags: Aggiungi Tag
Nessun Tag, puoi essere il primo ad aggiungerne!!
_version_ 1866914625978630144
author Baldasso, Rangel
Pereira, Alan
Reis, Guilherme
author_facet Baldasso, Rangel
Pereira, Alan
Reis, Guilherme
contents We investigate the behavior of the empirical neighbourhood distribution of marked graphs in the framework of local weak convergence. We establish a large deviation principle for such families of empirical measures. The proof builds on Bordenave and Caputo's seminal 2015 paper, and Delgosha and Anantharam's 2019 introduction of BC entropy, relying on combinatorial lemmas that allow one to construct suitable approximations of measures supported on marked trees.
format Preprint
id arxiv_https___arxiv_org_abs_2401_00351
institution arXiv
publishDate 2023
record_format arxiv
spellingShingle Marked random graphs with given degree sequence: large deviations on the local topology
Baldasso, Rangel
Pereira, Alan
Reis, Guilherme
Probability
60F10, 05C80
We investigate the behavior of the empirical neighbourhood distribution of marked graphs in the framework of local weak convergence. We establish a large deviation principle for such families of empirical measures. The proof builds on Bordenave and Caputo's seminal 2015 paper, and Delgosha and Anantharam's 2019 introduction of BC entropy, relying on combinatorial lemmas that allow one to construct suitable approximations of measures supported on marked trees.
title Marked random graphs with given degree sequence: large deviations on the local topology
topic Probability
60F10, 05C80
url https://arxiv.org/abs/2401.00351