The Annals of Applied Probability
- Ann. Appl. Probab.
- Volume 28, Number 5 (2018), 2922-2965.
Equilibrium large deviations for mean-field systems with translation invariance
We consider particle systems with mean-field interactions whose distribution is invariant by translations. Under the assumption that the system seen from its centre of mass be reversible with respect to a Gibbs measure, we establish large deviation principles for its empirical measure at equilibrium. Our study covers the cases of McKean–Vlasov particle systems without external potential, and systems of rank-based interacting diffusions. Depending on the strength of the interaction, the large deviation principles are stated in the space of centered probability measures endowed with the Wasserstein topology of appropriate order, or in the orbit space of the action of translations on probability measures. An application to the study of atypical capital distribution is detailed.
Ann. Appl. Probab., Volume 28, Number 5 (2018), 2922-2965.
Received: July 2017
Revised: December 2017
First available in Project Euclid: 28 August 2018
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Digital Object Identifier
Mathematical Reviews number (MathSciNet)
Zentralblatt MATH identifier
Primary: 60F10: Large deviations 60J60: Diffusion processes [See also 58J65] 60K35: Interacting random processes; statistical mechanics type models; percolation theory [See also 82B43, 82C43]
Reygner, Julien. Equilibrium large deviations for mean-field systems with translation invariance. Ann. Appl. Probab. 28 (2018), no. 5, 2922--2965. doi:10.1214/17-AAP1379. https://projecteuclid.org/euclid.aoap/1535443238