Skip to content
Research Article Open access CC BY 4.0

Convergence and Stability of Split-Step Milstein Schemes for Stochastic Differential Equations

Lingzhi Teng, Haomin Zhang, Xiaoting Tao

Asian Research Journal of Mathematics · pp. 1–11 · Published 27 Jan 2017

10.9734/ARJOM/2017/30465

Abstract

In this paper, the mean square convergence and stability of the split-step theta-Milstein schemes for stochastic differential equations are discussed. First, it is shown that these methods are mean square convergent with strong order 1. Then, we investigate the mean square stability of the split-step theta-Milstein methods. Finally, numerical examples are presented to illustrate the theoretical results.

Stochastic differential equations Mean square convergence Mean square stability Split-step theta-Milstein schemes.

Cited by 0

No indexed citations yet.

Article metrics

Real usage data collected on this platform.

0

Page views

0

PDF downloads

0

Outbound clicks

0

Citations

Views by country

Approximate, from request IP at view time — not citizenship or institution. Countries with fewer than 5 views are grouped as "Other".

No views recorded yet.

Traffic sources

Referring site, by host.

No traffic recorded yet.

Views and downloads exclude known bots/crawlers. Citations combines this platform's own DOI-resolved index with each external source's own reported total — see Cited by above for individually listed citing works. Last refreshed 0 seconds ago.