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Main Authors: Kleijn, B. J. K., Rizzelli, S.
Format: Preprint
Published: 2024
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Online Access:https://arxiv.org/abs/2402.11334
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author Kleijn, B. J. K.
Rizzelli, S.
author_facet Kleijn, B. J. K.
Rizzelli, S.
contents Asymptotic properties of random graph sequences, like occurrence of a giant component or full connectivity in Erdős-Rényi graphs, are usually derived with very specific choices for defining parameters. The question arises to which extent those parameters choices may be perturbed, without losing the asymptotic property. Writing $(P_n)$ and $(Q_n)$ for two sequences of graph distributions, asymptotic equivalence (convergence in total-variation) and contiguity ($P_n(A_n)=o(1) \implies Q_n(A_n)=o(1)$) have been considered by (Janson, 2010) and others; here we use so-called remote contiguity (for some fixed $a_n\downarrow 0$, $P_n(A_n)=o(a_n) \implies Q_n(A_n)=o(1)$) to show that connectivity properties are preserved in more heavily perturbed Erdős-Rényi graphs. The techniques we demonstrate with random graphs here, extend to general asymptotic properties, e.g. in more complex large-graph limits, scaling limits, large-sample limits, etc.
format Preprint
id arxiv_https___arxiv_org_abs_2402_11334
institution arXiv
publishDate 2024
record_format arxiv
spellingShingle Contiguity and remote contiguity of some random graphs
Kleijn, B. J. K.
Rizzelli, S.
Probability
05C80, 05C40, 60B10, 60G30
Asymptotic properties of random graph sequences, like occurrence of a giant component or full connectivity in Erdős-Rényi graphs, are usually derived with very specific choices for defining parameters. The question arises to which extent those parameters choices may be perturbed, without losing the asymptotic property. Writing $(P_n)$ and $(Q_n)$ for two sequences of graph distributions, asymptotic equivalence (convergence in total-variation) and contiguity ($P_n(A_n)=o(1) \implies Q_n(A_n)=o(1)$) have been considered by (Janson, 2010) and others; here we use so-called remote contiguity (for some fixed $a_n\downarrow 0$, $P_n(A_n)=o(a_n) \implies Q_n(A_n)=o(1)$) to show that connectivity properties are preserved in more heavily perturbed Erdős-Rényi graphs. The techniques we demonstrate with random graphs here, extend to general asymptotic properties, e.g. in more complex large-graph limits, scaling limits, large-sample limits, etc.
title Contiguity and remote contiguity of some random graphs
topic Probability
05C80, 05C40, 60B10, 60G30
url https://arxiv.org/abs/2402.11334