Phase transitions for interacting particle systems on random graphs

Fuente: arXiv
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Main Authors: Bertoli, Benedetta, Pavliotis, Grigorios A., Zagli, Niccolò
Format: Preprint
Published: 2025
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author Bertoli, Benedetta
Pavliotis, Grigorios A.
Zagli, Niccolò
author_facet Bertoli, Benedetta
Pavliotis, Grigorios A.
Zagli, Niccolò
contents In this paper, we study weakly interacting diffusion processes on random graphs. Our main focus is on the properties of the mean-field limit and, in particular, on the nonuniqueness and bifurcation structure of stationary states. By extending classical bifurcation analysis to include multichromatic interaction potentials and random graph structures, we explicitly identify bifurcation points and relate them to the spectral properties of the graphon integral operator. In addition, we develop a self-consistency formulation of stationary states that recovers the primary critical threshold and reveals secondary bifurcations along non-uniform branches. Furthermore, we characterize the resulting McKean-Vlasov PDE as a gradient flow with respect to a suitable metric. In addition, we provide strong evidence that (minus) the interaction energy of the interacting particle system serves as a natural order parameter. In particular, beyond the transition point and for multichromatic interactions, we observe an energy cascade that is strongly linked to dynamical metastability.
format Preprint
id arxiv_https___arxiv_org_abs_2504_02721
institution arXiv
publishDate 2025
record_format arxiv
spellingShingle Phase transitions for interacting particle systems on random graphs
Bertoli, Benedetta
Pavliotis, Grigorios A.
Zagli, Niccolò
Dynamical Systems
Numerical Analysis
Mathematical Physics
Probability
In this paper, we study weakly interacting diffusion processes on random graphs. Our main focus is on the properties of the mean-field limit and, in particular, on the nonuniqueness and bifurcation structure of stationary states. By extending classical bifurcation analysis to include multichromatic interaction potentials and random graph structures, we explicitly identify bifurcation points and relate them to the spectral properties of the graphon integral operator. In addition, we develop a self-consistency formulation of stationary states that recovers the primary critical threshold and reveals secondary bifurcations along non-uniform branches. Furthermore, we characterize the resulting McKean-Vlasov PDE as a gradient flow with respect to a suitable metric. In addition, we provide strong evidence that (minus) the interaction energy of the interacting particle system serves as a natural order parameter. In particular, beyond the transition point and for multichromatic interactions, we observe an energy cascade that is strongly linked to dynamical metastability.
title Phase transitions for interacting particle systems on random graphs
topic Dynamical Systems
Numerical Analysis
Mathematical Physics
Probability
url https://arxiv.org/abs/2504.02721