Research reports

Exponential integrability properties of numerical approximation processes for nonlinear stochastic differential equations

by M. Hutzenthaler and A. Jentzen and X. Wang

(Report number 2013-34)

Abstract
Exponential integrability properties of numerical approximations are a key tool towards establishing positive rates of strong and numerically weak convergence for a large class of nonlinear stochastic differential equations; cf. Cox et al. [3]. It turns out that well-known numerical approximation processes such as Euler-Maruyama approximations, linear-implicit Euler approximations and some tamed Euler approximations from the literature rarely preserve exponential integrability properties of the exact solution. The main contribution of this article is to identify a class of stopped increment-tamed Euler approximations which preserve exponential integrability properties of the exact solution under minor additional assumptions on the involved functions.

Keywords: Exponential moments, numerical approximation, stochastic di erential equation, Euler scheme, Euler- Maruyama, implicit Euler scheme, tamed Euler scheme

BibTeX
@Techreport{HJW13_531,
  author = {M. Hutzenthaler and A. Jentzen and X. Wang},
  title = {Exponential integrability properties of numerical approximation processes for nonlinear stochastic differential equations},
  institution = {Seminar for Applied Mathematics, ETH Z{\"u}rich},
  number = {2013-34},
  address = {Switzerland},
  url = {https://www.sam.math.ethz.ch/sam_reports/reports_final/reports2013/2013-34.pdf },
  year = {2013}
}

Disclaimer
© Copyright for documents on this server remains with the authors. Copies of these documents made by electronic or mechanical means including information storage and retrieval systems, may only be employed for personal use. The administrators respectfully request that authors inform them when any paper is published to avoid copyright infringement. Note that unauthorised copying of copyright material is illegal and may lead to prosecution. Neither the administrators nor the Seminar for Applied Mathematics (SAM) accept any liability in this respect. The most recent version of a SAM report may differ in formatting and style from published journal version. Do reference the published version if possible (see SAM Publications).

JavaScript has been disabled in your browser