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A class of new Magnus-type methods for semi-linear non-commutative Itô stochastic differential equations

  • Guoguo Yang*
  • , Kevin Burrage
  • , Yoshio Komori
  • , Pamela Burrage
  • , Xiaohua Ding
  • *Corresponding author for this work
  • Harbin Institute of Technology
  • Queensland University of Technology
  • University of Oxford
  • Kyushu Institute of Technology

Research output: Contribution to journalArticlepeer-review

Abstract

In this paper, a class of new Magnus-type methods is proposed for non-commutative Itô stochastic differential equations (SDEs) with semi-linear drift term and semi-linear diffusion terms, based on Magnus expansion for non-commutative linear SDEs. We construct a Magnus-type Euler method, a Magnus-type Milstein method and a Magnus-type Derivative-free method, and give the mean-square convergence analysis of these methods. Numerical tests are carried out to present the efficiency of the proposed methods compared with the corresponding underlying methods and the specific performance of the simulation Itô integral algorithms is investigated.

Original languageEnglish
Pages (from-to)1641-1665
Number of pages25
JournalNumerical Algorithms
Volume88
Issue number4
DOIs
StatePublished - Dec 2021

Keywords

  • Magnus-type Derivative-free method
  • Magnus-type Euler method
  • Magnus-type Milstein method
  • Magnus-type methods
  • Stochastic differential equations

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