Abstract
We study the loss, recovery, and preservation of differentiability of time-dependent large deviation rate functions. This study is motivated by mean-field Gibbs-non-Gibbs transitions. The gradient of the rate-function evolves according to a Hamiltonian flow. This Hamiltonian flow is used to analyze the regularity of the time-dependent rate function, both for Glauber dynamics for the Curie-Weiss model and Brownian dynamics in a potential. We extend the variational approach to this problem of time-dependent regularity in order to include Hamiltonian trajectories with a finite lifetime in closed domains with a boundary. This leads to new phenomena, such a recovery of smoothness. We hereby create a new and unifying approach for the study of mean-field Gibbs-non-Gibbs transitions, based on Hamiltonian dynamics and viscosity solutions of Hamilton-Jacobi equations.
| Original language | English |
|---|---|
| Pages (from-to) | 5287-5329 |
| Number of pages | 43 |
| Journal | Transactions of the American Mathematical Society |
| Volume | 374 |
| Issue number | 8 |
| DOIs | |
| Publication status | Published - 2021 |
Keywords
- Dynamical transition
- Gibbs versus non-Gibbs
- Global minimisers of rate functions
- Hamilton-Jacobi equation
- Hamiltonian dynamics
- Large deviation principle
- Mean-field models
Fingerprint
Dive into the research topics of 'A hamilton-jacobi point of view on mean-field gibbs-non-gibbs transitions'. Together they form a unique fingerprint.Cite this
- APA
- Author
- BIBTEX
- Harvard
- Standard
- RIS
- Vancouver