Ergodic and strong Feller properties of affine processes
Shukai Chen, Zenghu Li

TL;DR
This paper establishes ergodic, exponential ergodic, and strong Feller properties for general (1+1)-affine Markov processes, using coupling methods and stochastic equations driven by time-space noises.
Contribution
It extends ergodic and strong Feller property results to a broad class of affine Markov processes with novel coupling techniques.
Findings
Proves ergodicity and exponential ergodicity in total variation for (1+1)-affine processes.
Establishes the strong Feller property for these processes.
Uses coupling methods based on stochastic equations driven by time-space noises.
Abstract
For general (1+1)-affine Markov processes, we prove the ergodicity and exponential ergodicity in total variation distances. Our methods follow the arguments of ergodic properties for L\'{e}vy-driven OU-processes and a coupling of CBI-processes constructed by stochastic equations driven by time-space noises. Then the strong Feller property is considered.
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 · Mathematical Biology Tumor Growth · Mathematical Dynamics and Fractals
