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Non-reversible Metastable Diffusions with Gibbs Invariant Measure II: Markov Chain Convergence

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Authors

Lee, Jungkyoung; Seo, Insuk

Issue Date
2022-11
Publisher
Kluwer Academic/Plenum Publishers
Citation
Journal of Statistical Physics, Vol.189 No.2, p. 25
Abstract
This article considers a class of metastable non-reversible diffusion processes whose invariant measure is a Gibbs measure associated with a Morse potential. In a companion paper (Lee and Seo in Probab Theory Relat Fields 182:849-903, 2022), we proved the Eyring-Kramers formula for the corresponding class of metastable diffusion processes. In this article, we further develop this result by proving that a suitably time-rescaled metastable diffusion process converges to a Markov chain on the deepest metastable valleys. This article is also an extension of (Rezakhanlou and Seo in https://arxiv.org/abs/1812.02069, 2018), which considered the same problem for metastable reversible diffusion processes. Our proof is based on the recently developed resolvent approach to metastability.
ISSN
0022-4715
URI
https://hdl.handle.net/10371/185588
DOI
https://doi.org/10.1007/s10955-022-02986-4
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