English

Vlasov Equations on Directed Hypergraph Measures

Analysis of PDEs 2025-02-18 v3 Classical Analysis and ODEs Dynamical Systems Functional Analysis Probability

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.

Cite

@article{arxiv.2207.03806,
  title  = {Vlasov Equations on Directed Hypergraph Measures},
  author = {Christian Kuehn and Chuang Xu},
  journal= {arXiv preprint arXiv:2207.03806},
  year   = {2025}
}

Comments

arXiv admin note: text overlap with arXiv:2107.08419

R2 v1 2026-06-25T00:45:02.380Z