Phase Transitions for Interacting Particle Systems on Random Graphs

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Authors: Benedetta Bertoli, Grigorios A. Pavliotis, Niccolò Zagli
Cited by: 0

Abstract

Abstract. 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 nonuniform 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.

Fields of Study & Subjects

Complex Network Analysis Techniques Theoretical and Computational Physics Stochastic processes and statistical mechanics

Publication details

Journal / source
SIAM Journal on Applied Dynamical Systems
Volume
25
Issue
3
Pages
2141–2168
Publication date
3 September 2026
Language
EN