A Multiplicative Ergodic Theorem for Discontinuous Random Dynamical Systems and Applications
Huijie Qiao, Jinqiao Duan

TL;DR
This paper establishes a multiplicative ergodic theorem for linear cocycles with jump discontinuities driven by non-Gaussian Lévy noise, extending spectral theory to more general stochastic systems with applications to Lévy-driven models.
Contribution
It introduces a new ergodic theorem applicable to discontinuous linear cocycles influenced by Lévy noise, broadening the scope of spectral analysis in stochastic systems.
Findings
Proved a multiplicative ergodic theorem for jump discontinuous cocycles.
Applied the theorem to systems with Lévy motions.
Extended spectral properties to non-Gaussian noise-driven systems.
Abstract
Motivated by studying stochastic systems with non-Gaussian L\'evy noise, spectral properties for a type of linear cocycles are considered. These linear cocycles have countable jump discontinuities in time. A multiplicative ergodic theorem is proved for such linear cocycles. Then, the result is illustrated for two linear stochastic systems with general L\'evy motions.
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
Taxonomy
TopicsStochastic processes and financial applications · Advanced Mathematical Modeling in Engineering · Stability and Controllability of Differential Equations
