Mean-square stability of a constructed Third-order stochastic Runge--Kutta schemes for general stochastic differential equations

IF 1.1 Q2 MATHEMATICS, APPLIED Computational Methods for Differential Equations Pub Date : 2021-05-01 DOI:10.22034/CMDE.2021.44264.1871
Omid Farkhonderooz, D. Ahmadian
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引用次数: 0

Abstract

In this paper, we are interested in construction of an explicit third-order stochastic Runge–Kutta (SRK3) schemes for the weak approximation of stochastic differential equations (SDEs) with the general diffusion coefficient b(t, x). To this aim, we use the Itˆo-Taylor method and compare them with the stochastic expansion of the approximation. In this way, the authors encountered with a large number of equations and could find to derive four families for SRK3 schemes. Also we investigate the mean-square stability (MS-stability) properties of SRK3 schemes for a linear SDE. Finally, the proposed families are implemented on some examples to illustrate convergence results.
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一般随机微分方程的三阶随机Runge-Kutta格式的均方稳定性
在本文中,我们对具有一般扩散系数b(t,x)的随机微分方程(SDE)的弱逼近的显式三阶随机Runge–Kutta(SRK3)格式的构造感兴趣。为此,我们使用了Itõo-Taylor方法,并将其与近似的随机展开进行了比较。通过这种方式,作者遇到了大量的方程,并可以找到SRK3格式的四个族。我们还研究了线性SDE的SRK3格式的均方稳定性(MS稳定性)性质。最后,将所提出的族应用于实例,以说明收敛性结果。
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来源期刊
CiteScore
2.20
自引率
27.30%
发文量
0
审稿时长
4 weeks
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