Vlasov equations on directed hypergraph measures

Christian Kuehn, Chuang Xu

Research output: Contribution to journalArticlepeer-review

Abstract

In this paper we propose a framework to investigate the mean field limit (MFL) of interacting particle systems on directed hypergraphs. We provide a non-trivial measure-theoretic viewpoint and make extensions of directed hypergraphs as directed hypergraph measures (DHGMs), which are measure-valued functions on a compact metric space. These DHGMs can be regarded as hypergraph limits which include limits of a sequence of hypergraphs that are sparse, dense, or of intermediate densities. Our main results show that the Vlasov equation on DHGMs are well-posed and its solution can be approximated by empirical distributions of large networks of higher-order interactions. The results are applied to a Kuramoto network in physics, an epidemic network, and an ecological network, all of which include higher-order interactions. To prove the main results on the approximation and well-posedness of the Vlasov equation on DHGMs, we robustly generalize the method of [Kuehn, Xu. Vlasov equations on digraph measures, JDE, 339 (2022), 261–349] to higher-dimensions.

Original languageEnglish
Article number9
JournalPartial Differential Equations and Applications
Volume6
Issue number1
DOIs
StatePublished - Mar 2025

Keywords

  • Epidemic dynamics
  • Higher-order interaction
  • Hypergraphs
  • Kuramoto model
  • Lotka–Volterra systems
  • Mean field limit
  • Sparse networks

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