The exponential resolvent of a markov process and large deviations for markov processes via hamilton-jacobi equations

Journal Article (2020)
Author(s)

Richard C. Kraaij (TU Delft - Applied Probability)

DOI related publication
https://doi.org/10.1214/20-EJP539 Final published version
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Publication Year
2020
Language
English
Journal title
Electronic Journal of Probability
Volume number
25
Article number
134
Pages (from-to)
1-39
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175
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Abstract

We study the Hamilton-Jacobi equation f − λHf = h, where Hf = e−f Aef and where A is an operator that corresponds to a well-posed martingale problem. We identify an operator that gives viscosity solutions to the Hamilton-Jacobi equa-tion, and which can therefore be interpreted as the resolvent of H. The operator is given in terms of an optimization problem where the running cost is a path-space relative entropy. Finally, we use the resolvents to give a new proof of the abstract large deviation result of Feng and Kurtz (2006).