Recurrence and Ergodicity for A Class of Regime-Switching Jump Diffusions
Xiaoshan Chen, Zhen-Qing Chen, Ky Tran, George Yin

TL;DR
This paper investigates the long-term behavior of regime-switching jump diffusions, establishing conditions for recurrence, ergodicity, and invariant measures, thus advancing understanding of their stability and statistical properties.
Contribution
It provides new conditions for recurrence, positive recurrence, and ergodicity in regime-switching jump diffusions, including proofs of invariant measure existence.
Findings
Conditions for recurrence and positive recurrence derived
Ergodicity of the processes established
Existence of invariant probability measures proved
Abstract
This work develops asymptotic properties of a class of switching jump diffusion processes. The processes under consideration may be viewed as a number of jump diffusion processes modulated by a random switching mechanism. The underlying processes feature in the switching process depends on the jump diffusions. In this paper, conditions for recurrence and positive recurrence are derived. Ergodicity is examined in detail. Existence of invariant probability measures is proved.
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
TopicsAdvanced Mathematical Modeling in Engineering · Stability and Controllability of Differential Equations · Diffusion and Search Dynamics
