Mean-field limit of non-exchangeable multi-agent systems over hypergraphs with unbounded rank
Nathalie Ayi (SU), Nastassia Pouradier Duteil (MAMBA, MUSCLEES), David, Poyato (UGR)

TL;DR
This paper establishes a mean-field limit for multi-agent systems with higher-order, non-binary interactions modeled by dense hypergraphs of unbounded rank, leading to a Vlasov-type equation with complex interaction orders.
Contribution
It introduces the first rigorous derivation of a mean-field limit for hypergraph-based multi-agent systems with unbounded rank, extending classical models to include infinite interaction orders.
Findings
Mean-field limit described by a Vlasov-type equation.
Hypergraph limit encoded by UR-hypergraphon.
Force admits infinitely-many interaction orders.
Abstract
Interacting particle systems are known for their ability to generate large-scale self-organized structures from simple local interaction rules between each agent and its neighbors. In addition to studying their emergent behavior, a main focus of the mathematical community has been concentrated on deriving their large-population limit. In particular, the mean-field limit consists of describing the limit system by its population density in the product space of positions and labels. The strategy to derive such limits is often based on a careful combination of methods ranging from analysis of PDEs and stochastic analysis, to kinetic equations and graph theory. In this article, we focus on a generalization of multi-agent systems that includes higher-order interactions, which has largely captured the attention of the applied community in the last years. In such models, interactions between…
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Taxonomy
TopicsMathematical and Theoretical Epidemiology and Ecology Models · Opinion Dynamics and Social Influence · Complex Network Analysis Techniques
