Mean field limits for interacting Hawkes processes in a diffusive regime

Xavier Erny, Eva Löcherbach, Dasha Loukianova

Research output: Contribution to journalArticlepeer-review

Abstract

We consider a sequence of systems of Hawkes processes having mean field interactions in a diffusive regime. The stochastic intensity of each process is a solution of a stochastic differential equation driven by N independent Poisson random measures. We show that, as the number of interacting components N tends to infinity, this intensity converges in distribution in the Skorokhod space to a CIR-type diffusion. Moreover, we prove the convergence in distribution of the Hawkes processes to the limit point process having the limit diffusion as intensity. To prove the convergence results, we use analytical technics based on the convergence of the associated infinitesimal generators and Markovian semigroups.

Original languageEnglish
Pages (from-to)125-149
Number of pages25
JournalBernoulli
Volume28
Issue number1
DOIs
Publication statusPublished - 1 Feb 2021
Externally publishedYes

Keywords

  • Mean field interaction
  • Multivariate nonlinear Hawkes processes
  • Piecewise deterministic Markov processes

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