Weakly interacting oscillators on dense random graphs

Author:

Bet GianmarcoORCID,Coppini Fabio,Nardi Francesca Romana

Abstract

Abstract We consider a class of weakly interacting particle systems of mean-field type. The interactions between the particles are encoded in a graph sequence, i.e. two particles are interacting if and only if they are connected in the underlying graph. We establish a law of large numbers for the empirical measure of the system that holds whenever the graph sequence is convergent to a graphon. The limit is the solution of a non-linear Fokker–Planck equation weighted by the (possibly random) graphon limit. In contrast with the existing literature, our analysis focuses on both deterministic and random graphons: no regularity assumptions are made on the graph limit and we are able to include general graph sequences such as exchangeable random graphs. Finally, we identify the sequences of graphs, both random and deterministic, for which the associated empirical measure converges to the classical McKean–Vlasov mean-field limit.

Publisher

Cambridge University Press (CUP)

Subject

Statistics, Probability and Uncertainty,General Mathematics,Statistics and Probability

Cited by 3 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Concentration of measure for graphon particle system;Advances in Applied Probability;2024-01-19

2. A Large-Scale Stochastic Gradient Descent Algorithm Over a Graphon;2023 62nd IEEE Conference on Decision and Control (CDC);2023-12-13

3. Central Limit Theorems for global and local empirical measures of diffusions on Erdős-Rényi graphs;Electronic Journal of Probability;2023-01-01

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