TY - JOUR
T1 - Vlasov equations on directed hypergraph measures
AU - Kuehn, Christian
AU - Xu, Chuang
N1 - Publisher Copyright:
© The Author(s), under exclusive licence to Springer Nature Switzerland AG 2025.
PY - 2025/3
Y1 - 2025/3
N2 - 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.
AB - 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.
KW - Epidemic dynamics
KW - Higher-order interaction
KW - Hypergraphs
KW - Kuramoto model
KW - Lotka–Volterra systems
KW - Mean field limit
KW - Sparse networks
UR - http://www.scopus.com/inward/record.url?scp=85219723024&partnerID=8YFLogxK
U2 - 10.1007/s42985-025-00313-6
DO - 10.1007/s42985-025-00313-6
M3 - Article
AN - SCOPUS:85219723024
SN - 2662-2963
VL - 6
JO - Partial Differential Equations and Applications
JF - Partial Differential Equations and Applications
IS - 1
M1 - 9
ER -