超线性情况下周期随机微分方程的截短EM方法的收敛速度

IF 2.9 2区 数学 Q1 MATHEMATICS, APPLIED
Yongmei Cai
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引用次数: 0

摘要

周期性在包括生物学、金融学和控制理论在内的许多领域都得到了广泛的认可。具有周期系数的随机微分方程作为一类重要的非自治微分方程,近年来受到了广泛的关注。本文研究了截断Euler-Maruyama (EM)方法对具有周期系数的超线性SDEs的强收敛性,并得到了接近1/2阶的几乎最优收敛率。由于此类SDEs的典型特征包括周期性和超线性,因此这项工作变得具有挑战性和不平凡。最后通过计算机仿真验证了我们的理论。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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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来源期刊
Applied Mathematics Letters
Applied Mathematics Letters 数学-应用数学
CiteScore
7.70
自引率
5.40%
发文量
347
审稿时长
10 days
期刊介绍: The purpose of Applied Mathematics Letters is to provide a means of rapid publication for important but brief applied mathematical papers. The brief descriptions of any work involving a novel application or utilization of mathematics, or a development in the methodology of applied mathematics is a potential contribution for this journal. This journal''s focus is on applied mathematics topics based on differential equations and linear algebra. Priority will be given to submissions that are likely to appeal to a wide audience.
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