Abstract
We consider a general class of hypoelliptic Langevin diffusions and study two related questions. The first question is large deviations for hypoelliptic multiscale diffusions as the noise and the scale separation parameter go to zero. The second question is small mass asymptotics of (a) the invariant measure corresponding to the hypoelliptic Langevin operator and of (b) related hypoelliptic Poisson equations. The invariant measure corresponding to the hypoelliptic problem and appropriate hypoelliptic Poisson equations enter the large deviations rate function due to the multiscale effects. Based on the small mass asymptotics we derive that the large deviations behavior of the multiscale hypoelliptic diffusion is consistent with the large deviations behavior of its overdamped counterpart. Additionally, we rigorously obtain an asymptotic expansion of the solution to relevant hypoelliptic Poisson equations with respect to the mass parameter, characterizing the order of convergence as the mass parameter goes to zero. The proof of convergence of invariant measures is of independent interest, as it involves an improvement of the hypocoercivity result for the kinetic Fokker-Planck equation. We do not restrict attention to gradient drifts and our proof provides explicit information on the dependence of the bounds of interest in terms of the mass parameter.
Recommended Citation
W. Hu and K. Spiliopoulosï, "Hypoelliptic Multiscale Langevin Diffusions: Large Deviations, Invariant Measures and Small Mass Asymptotics," Electronic Journal of Probability, vol. 22, University of Washington, Jun 2017.
The definitive version is available at https://doi.org/10.1214/17-EJP72
Department(s)
Mathematics and Statistics
Keywords and Phrases
Homogenization; Hypocoercivity; Hypoelliptic multiscale diffusions; Large deviations; Non-gradient systems
International Standard Serial Number (ISSN)
1083-6489
Document Type
Article - Journal
Document Version
Final Version
File Type
text
Language(s)
English
Rights
© 2017 University of Washington, All rights reserved.
Creative Commons Licensing
This work is licensed under a Creative Commons Attribution 4.0 License.
Publication Date
01 Jun 2017