Discrete approximation to solution flows of Tanaka SDE related to Walsh Brownian motion
Hatem Hajri

TL;DR
This paper demonstrates how solutions to a specific Tanaka SDE related to Walsh Brownian motion can be approximated through discrete models, establishing a connection between discrete and continuous stochastic processes.
Contribution
It introduces a discrete approximation scheme for the unique solutions of a Walsh Brownian motion-related Tanaka SDE, bridging discrete models with continuous stochastic flows.
Findings
Discrete models converge to the unique Wiener solution.
Discrete approximations also converge to the flow of mappings.
The approach clarifies the relationship between discrete and continuous solutions.
Abstract
In a previous work, we have defined a Tanaka SDE related to Walsh Brownian motion which depends on kernels. It was shown that there are only one Wiener solution and only one flow of mappings solving this equation. In the terminology of Le Jan and Raimond, these are respectively the stronger and the weaker among all solutions. In this paper, we obtain these solutions as limits of discrete models.
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 · Nonlinear Differential Equations Analysis
