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Large deviations for Markov jump processes in periodic and locally periodic environments

Permanent link
https://hdl.handle.net/10037/28089
DOI
https://doi.org/10.1214/22-AAP1797
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Date
2022-12
Type
Journal article
Tidsskriftartikkel
Peer reviewed

Author
Piatnitski, Andrei; Pirogov, Sergei; Zhizhina, Elena
Abstract
The paper deals with a family of jump Markov process defined in a medium with a periodic or locally periodic microstructure. We assume that the generator of the process is a zero order convolution type operator with rapidly oscillating locally periodic coefficient and, under natural ellipticity and localization conditions, show that the family satisfies the large deviation principle in the path space equipped with Skorokhod topology. The corresponding rate function is defined in terms of a family of auxiliary periodic spectral problems. It is shown that the corresponding Lagrangian is a convex function of velocity that has a superlinear growth at infinity. However, neither the Lagrangian nor the corresponding Hamiltonian need not be strictly convex, we only claim their strict convexity in some neighbourhood of infinity. It then depends on the profile of the generator kernel whether the Lagrangian is strictly convex everywhere or not.
Publisher
Institute of Mathematical Statistics
Citation
Piatnitski, Pirogov, Zhizhina. Large deviations for Markov jump processes in periodic and locally periodic environments. The Annals of Applied Probability. 2022
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