Hybrid Stochastic Functional Differential Equations with Infinite Delay: Approximations and Numerics
Guozhen Li, Xiaoyue Li, Xuerong Mao, Guoting Song

TL;DR
This paper develops a theoretical framework showing that solutions to hybrid stochastic functional differential equations with infinite delay can be approximated by solutions with finite delay, enabling practical numerical methods.
Contribution
It introduces a new approximation theory for hybrid SFDEs with infinite delay, facilitating numerical solutions for highly nonlinear cases.
Findings
Positive approximation results for a broad class of nonlinear hybrid SFDEs
Enables numerical simulation of infinite delay SFDEs via finite delay models
Provides theoretical foundation for practical computational methods
Abstract
This paper is to investigate if the solution of a hybrid stochastic functional differential equation (SFDE) with infinite delay can be approximated by the solution of the corresponding hybrid SFDE with finite delay. A positive result is established for a large class of highly nonlinear hybrid SFDEs with infinite delay. Our new theory makes it possible to numerically approximate the solution of the hybrid SFDE with infinite delay, via the numerical solution of the corresponding hybrid SFDE with finite delay.
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.
