Irreducibility and ergodicity of SPDEs driven by pure jump noise
Jian Wang, Hao Yang, Jianliang Zhai, Tusheng Zhang

TL;DR
This paper introduces a new method to establish irreducibility and ergodicity for a broad class of SPDEs driven by pure jump noise, relaxing previous restrictive conditions and covering complex equations like stochastic Schrödinger and diffusion flows.
Contribution
The paper develops a novel approach to prove irreducibility of SPDEs with multiplicative pure jump noise under mild conditions, extending results to complex and infinite-dimensional noise settings.
Findings
Established irreducibility for SPDEs with multiplicative pure jump noise.
Proved ergodicity for various complex stochastic evolution equations.
Removed restrictive noise conditions from previous literature.
Abstract
The irreducibility is fundamental for the study of ergodicity of stochastic dynamical systems. The existing methods on the irreducibility of stochastic partial differential equations (SPDEs) and stochastic differential equations (SDEs) driven by pure jump noise are basically along the same lines as that for the Gaussian case, which are not particularly suitable for jump noise. As a result, restrictive conditions are usually placed on the driving jump noise. Basically the driving noises are additive type and more or less in the class of stable processes. In this paper, we develop a new and effective method to obtain the irreducibility of SPDEs and SDEs driven by multiplicative pure jump noise. The conditions placed on the coefficients and the driving noise are very mild, and in some sense they are necessary and sufficient. As an application of our main results, we remove all the…
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Taxonomy
TopicsStochastic processes and financial applications
