Convergence rate of truncated EM method for periodic stochastic differential equations in superlinear scenario

Periodicity has been widely recognised in a variety of areas including biology, finance and control theory. As an important class of non-autonomous SDEs, stochastic differential equations (SDEs) with periodic coefficients have thus been receiving great attention recently. In this paper, we study the strong convergence of the truncated Euler–Maruyama (EM) method to the superlinear SDEs with periodic coefficients and generate an almost optimal convergence rate of order close to 1 / 2 . Due to the typical features of such SDEs including periodicity and super-linearity, this work becomes challenging and non-trivial. Finally our theory is demonstrated by computer simulations.

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Publication Details

Journal
Applied Mathematics Letters
Published
2025-04-30
DOI
https://doi.org/10.1016/j.aml.2025.109592
Primary Topic
Stochastic processes and financial applications
Type
article
Field-Weighted Citation Impact
0.00

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article

Convergence rate of truncated EM method for periodic stochastic differential equations in superlinear scenario

Yongmei Cai
Applied Mathematics Letters
Stochastic processes and financial applications
article

Convergence rate of truncated EM method for periodic stochastic differential equations in superlinear scenario

Yongmei Cai
article en

Abstract

Periodicity has been widely recognised in a variety of areas including biology, finance and control theory. As an important class of non-autonomous SDEs, stochastic differential equations (SDEs) with periodic coefficients have thus been receiving great attention recently. In this paper, we study the strong convergence of the truncated Euler–Maruyama (EM) method to the superlinear SDEs with periodic coefficients and generate an almost optimal convergence rate of order close to 1 / 2 . Due to the typical features of such SDEs including periodicity and super-linearity, this work becomes challenging and non-trivial. Finally our theory is demonstrated by computer simulations.

Applied Mathematics LettersVol. 169
University of Nottingham Ningbo China (CN)
Natural Science Foundation of Zhejiang Province
Openalex Percentile: Top 88%
Stochastic processes and financial applications
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