English

A new relationship between Erd\H{o}s-R\'{e}nyi graphs, epidemic models and Brownian motion with parabolic drift

Probability 2022-04-08 v3

Abstract

In the Reed-Frost model, an example of an SIR epidemic model, one can examine a statistic that counts the number of concurrently infected individuals. This statistic can be reformulated as a statistic on the \ER random graph G(n,p)G(n,p). Within the critical window of Aldous and Martin-L\"{o}f, i.e. when p=p(n)=n1+λn4/3p = p(n) = n^{-1}+\lambda n^{-4/3}, the cumulative sum of this statistic converges weakly to the integral of a Brownian motion with parabolic drift. This same statistic exhibits a deterministic scaling limit when p=(1+λεn)/np = (1+\lambda \varepsilon_n)/n whenever εn0\varepsilon_n\to 0 and n1/3εnn^{1/3}\varepsilon_n\to\infty.

Keywords

Cite

@article{arxiv.2006.06838,
  title  = {A new relationship between Erd\H{o}s-R\'{e}nyi graphs, epidemic models and Brownian motion with parabolic drift},
  author = {David Clancy},
  journal= {arXiv preprint arXiv:2006.06838},
  year   = {2022}
}

Comments

25 pages, Corollary 3.4 is removed and the proof of Theorem 1.1 is changed