English

Consensus Formation in First-Order Graphon Models with Time-Varying Topologies

Optimization and Control 2023-05-03 v3 Functional Analysis

Abstract

In this article, we investigate the asymptotic formation of consensus for several classes of time-dependent cooperative graphon dynamics. After motivating the use of this type of macroscopic models to describe multi-agent systems, we adapt the classical notion of scrambling coefficient to this setting, leverage it to establish sufficient conditions ensuring the exponential convergence to consensus with respect to the LL^{\infty}-norm topology. We then shift our attention to consensus formation expressed in terms of the L2L^2-norm, and prove three different consensus result for symmetric, balanced and strongly connected topologies, which involve a suitable generalisation of the notion of algebraic connectivity to this infinite-dimensional framework. We then show that, just as in the finite-dimensional setting, the notion of algebraic connectivity that we propose encodes information about the connectivity properties of the underlying interaction topology. We finally use the corresponding results to shed some light on the relation between L2L^2- and LL^{\infty}-consensus formation, and illustrate our contributions by a series of numerical simulations.

Keywords

Cite

@article{arxiv.2111.03900,
  title  = {Consensus Formation in First-Order Graphon Models with Time-Varying Topologies},
  author = {Benoît Bonnet and Nastassia Pouradier Duteil and Mario Sigalotti},
  journal= {arXiv preprint arXiv:2111.03900},
  year   = {2023}
}

Comments

48 pages, 16 figures

R2 v1 2026-06-24T07:28:54.549Z