A note on Euler approximations for stochastic differential equations involving the local time at point zero
Abstract We consider the Euler–Maruyama method (EM) and the tamed Euler–Maruyama method (TEM) for stochastic differential equations involving the local time at point zero. We provide the rate of strong convergence where the drift coefficient satisfies a one-sided Lipschitz condition and the diffusion coefficient is global Lipschitz.
Authors
- Kamal Hiderah (ORCID: https://orcid.org/0000-0002-8165-8685)
Institutions
- University of Aden (YE)
Publication Details
- Journal
- Random Operators and Stochastic Equations
- Published
- 2025-03-28
- DOI
- https://doi.org/10.1515/rose-2025-2017
- Primary Topic
- Stochastic processes and financial applications
- Type
- article
- Field-Weighted Citation Impact
- 0.00