Ornstein-Uhlenbeck processes of bounded variation
Nikita Ratanov

TL;DR
This paper introduces a bounded variation Ornstein-Uhlenbeck process driven by a telegraph process, providing explicit distributions, moments, and demonstrating convergence to the classical process under Kac's rescaling.
Contribution
It presents a novel Ornstein-Uhlenbeck process with bounded variation driven by a telegraph process, including explicit distributional results and limit behavior analysis.
Findings
Explicit distribution of the process's hitting time is derived.
Mean and variance formulas are obtained based on joint distributions.
Under Kac's rescaling, the process converges to the classical Ornstein-Uhlenbeck process.
Abstract
Ornstein-Uhlenbeck process of bounded variation is introduced as a solution of an analogue of the Langevin equation with an integrated telegraph process replacing a Brownian motion. There is an interval such that the process starting from the internal point of always remains within . Starting outside, this process a. s. reaches this interval in a finite time. The distribution of the time for which the process falls into this interval is obtained explicitly. The certain formulae for the mean and the variance of this process are obtained on the basis of the joint distribution of the telegraph process and its integrated copy. Under Kac's rescaling, the limit process is identified as the classical Ornstein-Uhlenbeck process.
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.
