A hierarchical mean field model of interacting spins
Paolo Dai Pra, Marco Formentin, Guglielmo Pelino

TL;DR
This paper develops a hierarchical mean field model combining interacting spins and diffusions, analyzing phase transitions and macroscopic limits across different regimes and extending to multiple hierarchical levels.
Contribution
It introduces a novel hierarchical mean field framework integrating spin-flip dynamics with diffusive variables, extending analysis to multiple levels and regimes.
Findings
Macroscopic limits identified at various scales
Phase transitions characterized in subcritical regimes
Heuristic analysis of supercritical zero-temperature behavior
Abstract
We consider a system of hierarchical interacting spins under dynamics of spin-flip type with a ferromagnetic mean field interaction, scaling with the hierarchical distance, coupled with a system of linearly interacting hierarchical diffusions of Ornstein-Uhlenbeck type. In particular, the diffusive variables enter in the spin-flip rates, effectively acting as dynamical magnetic fields. In absence of the diffusions, the spin-flip dynamics can be thought of as a modification of the Curie--Weiss model. We study the mean field and the two-level hierarchical model, in the latter case restricting to a subcritical regime, corresponding to high temperatures, obtaining macroscopic limits at different spatio-temporal scales and studying the phase transitions in the system. We also formulate a generalization of our results to the -th level hierarchical case, for any finite, in the…
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