Phase transitions, logarithmic Sobolev inequalities, and uniform-in-time propagation of chaos for weakly interacting diffusions
arXiv:2112.06304 · doi:10.1007/s00220-023-04659-z
Abstract
In this article, we study the mean field limit of weakly interacting diffusions for confining and interaction potentials that are not necessarily convex. We explore the relationship between the large limit of the constant in the logarithmic Sobolev inequality (LSI) for the -particle system and the presence or absence of phase transitions for the mean field limit. The non-degeneracy of the LSI constant is shown to have far reaching consequences, especially in the context of uniform-in-time propagation of chaos and the behaviour of equilibrium fluctuations. Our results extend previous results related to unbounded spin systems and recent results on propagation of chaos using novel coupling methods. As incidentals, we provide concise and, to our knowledge, new proofs of a generalised form of Talagrand's inequality and of quantitative propagation of chaos by employing techniques from the theory of gradient flows, specifically the Riemannian calculus on the space of probability measures.
arXiv comment43 pages, 1 figure
References in corpus (12)
- Quantitative estimate of propagation of chaos for stochastic systems with kernels
- Mean Field Limit for Coulomb-Type Flows
- On Kac's Chaos And Related Problems
- Reflection couplings and contraction rates for diffusions
- Long-time behaviour and phase transitions for the McKean--Vlasov equation on the torus
- Dynamical aspects of mean field plane rotators and the Kuramoto model
- A very simple proof of the LSI for high temperature spin systems
- The McKean-Vlasov Equation in Finite Volume
- The Brownian Mean Field model
- On the diffusive-mean field limit for weakly interacting diffusions exhibiting phase transitions
- Barriers of the McKean--Vlasov energy via a mountain pass theorem in the space of probability measures
- Spectral gap in mean-field -model
Cited by in corpus (4)
- Propagation of chaos: a review of models, methods and applications. II. Applications
- Response Theory Identifies Reaction Coordinates and Explains Critical Phenomena in Noisy Interacting Systems
- Mean field error estimate of the random batch method for large interacting particle system
- Entropy maximization in the two-dimensional Euler equations