Stability of the semi-tamed and tamed Euler schemes for stochastic differential equations with jumps under non-global Lipschitz condition
Antoine Tambue, Jean Daniel Mukam

TL;DR
This paper investigates the stability properties of semi-tamed and tamed Euler schemes for stochastic differential equations with jumps under non-global Lipschitz conditions, providing theoretical analysis and numerical validation.
Contribution
It extends the analysis of tamed Euler schemes to include nonlinear and linear stability for SDEs with jumps under non-global Lipschitz conditions.
Findings
The schemes are shown to be stable under specified conditions.
Numerical simulations confirm the theoretical stability results.
Abstract
Under non-global Lipschitz condition, Euler Explicit method fails to converge strongly to the exact solution, while Euler implicit method converges but requires much computational efforts. Tamed scheme was first introduced in [2] to overcome this failure of the standard explicit method. This technique is extended to SDEs driven by Poisson jump in [3] where several schemes were analyzed. In this work, we investigate their nonlinear stability under non-global Lipschitz and their linear stability. Numerical simulations to sustain the theoretical results are also provided.
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 · Fluid Dynamics and Turbulent Flows · Meteorological Phenomena and Simulations
