English

Lower error bounds and optimality of approximation for jump-diffusion SDEs with discontinuous drift

Numerical Analysis 2023-12-06 v3 Numerical Analysis

Abstract

In this note we prove sharp lower error bounds for numerical methods for jump-diffusion stochastic differential equations (SDEs) with discontinuous drift. We study the approximation of jump-diffusion SDEs with non-adaptive as well as jump-adapted approximation schemes and provide lower error bounds of order 3/43/4 for both classes of approximation schemes. This yields optimality of the transformation-based jump-adapted quasi-Milstein scheme.

Keywords

Cite

@article{arxiv.2303.05945,
  title  = {Lower error bounds and optimality of approximation for jump-diffusion SDEs with discontinuous drift},
  author = {Paweł Przybyłowicz and Verena Schwarz and Michaela Szölgyenyi},
  journal= {arXiv preprint arXiv:2303.05945},
  year   = {2023}
}
R2 v1 2026-06-28T09:11:12.857Z