A Hamilton-Jacobi point of view on mean-field Gibbs-non-Gibbs transitions
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- by Richard C. Kraaij, Frank Redig and Willem B. van Zuijlen PDF
- Trans. Amer. Math. Soc. 374 (2021), 5287-5329 Request permission
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.
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Additional Information
- Richard C. Kraaij
- Affiliation: Delft Institute of Applied Mathematics, Technische Universiteit Delft, Delft, the Netherlands
- MR Author ID: 1043898
- ORCID: 0000-0001-9152-9943
- Email: r.c.kraaij@tudelft.nl
- Frank Redig
- Affiliation: Delft Institute of Applied Mathematics, Technische Universiteit Delft, Delft, the Netherlands
- MR Author ID: 314312
- Email: f.h.j.redig@tudelft.nl
- Willem B. van Zuijlen
- Affiliation: Weierstrass Institute, Berlin, Germany
- ORCID: 0000-0002-2079-0359
- Email: vanzuijlen@wias-berlin.de
- Received by editor(s): February 23, 2018
- Published electronically: May 20, 2021
- Additional Notes: The first author was supported by The Netherlands Organisation for Scientific Research (NWO), grant number 600.065.130.12N109 and the Deutsche Forschungsgemeinschaft (DFG) via RTG 2131 High-dimensional Phenomena in Probability – Fluctuations and Discontinuity.
The third author was supported by the German Science Foundation (DFG) via the Forschergruppe FOR2402 “Rough paths, stochastic partial differential equations and related topics”. - © Copyright 2021 American Mathematical Society
- Journal: Trans. Amer. Math. Soc. 374 (2021), 5287-5329
- MSC (2020): Primary 49L99, 60F10, 82C22, 82C27
- DOI: https://doi.org/10.1090/tran/8408
- MathSciNet review: 4293773