A representation formula for large deviations rate functionals of invariant measures on the one dimensional torus
We consider a generic diffusion on the 1D torus and give a simple representation formula for the large deviation rate functional of its invariant probability measure, in the limit of vanishing noise. Previously, this rate functional had been characterized by M. I. Freidlin and A. D. Wentzell as solu...
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Published in | Annales de l'I.H.P. Probabilités et statistiques Vol. 48; no. 1; pp. 212 - 234 |
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Main Authors | , |
Format | Journal Article |
Language | English |
Published |
Paris
Elsevier
01.02.2012
Institut Henri Poincaré |
Subjects | |
Online Access | Get full text |
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Summary: | We consider a generic diffusion on the 1D torus and give a simple representation formula for the large deviation rate functional of its invariant probability measure, in the limit of vanishing noise. Previously, this rate functional had been characterized by M. I. Freidlin and A. D. Wentzell as solution of a rather complex optimization problem. We discuss this last problem in full generality and show that it leads to our formula. We express the rate functional by means of a geometric transformation that, with a Maxwell-like construction, creates flat regions.
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We then consider piecewise deterministic Markov processes on the 1D torus and show that the corresponding large deviation rate functional for the stationary distribution is obtained by applying the same transformation. Inspired by this, we prove a universality result showing that the transformation generates viscosity solution of stationary Hamilton–Jacobi equation associated to any Hamiltonian H satisfying suitable weak conditions. |
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ISSN: | 0246-0203 |
DOI: | 10.1214/10-AIHP412 |