Uniform Large deviations for infinite dimensional stochastic systems with jumps
Vasileios Maroulas

TL;DR
This paper establishes uniform large deviation principles for infinite-dimensional stochastic systems driven by Brownian motions and Poisson jumps, using a variational representation approach.
Contribution
It extends large deviation principles to a broad class of infinite-dimensional systems with jumps, employing a novel variational formula.
Findings
Proves uniform large deviation principles for systems with jumps.
Develops a variational representation formula for infinite-dimensional stochastic processes.
Applies the framework to various types of infinite-dimensional Brownian motions.
Abstract
Uniform large deviation principles for positive functionals of all equivalent types of infinite dimensional Brownian motions acting together with a Poisson random measure are established. The core of our approach is a variational representation formula which for an infinite sequence of i.i.d real Brownian motions and a Poisson random measure was shown in [5].
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