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线性随机分数阶延迟微分方程指数Euler-Maruyama方法的强收敛性
STRONG CONVERGENCE OF THE EXPONENTIAL EULER-MARUYAMA METHOD FOR LINEAR CAPUTO STOCHASTIC FRACTIONAL DELAY DIFFERENTIAL EQUATIONS
【摘要】 <正>1引言近年来,分数阶延迟微分方程因其能够准确地描述反常次扩散现象、超反常扩散现象和多孔介质问题等在力学、物理、电气工程、控制理论等学科中的应用较为广泛.因此,研究者们针对该方程做了大量的研究且取得了丰富的研究成果,比如:2011年,Bhalekar和Daftardargejji[1]扩展了Adams-Bashforth-Moulton算法来求解分数阶延迟微分方程;同年,杨水平[2]利用Jacobi谱配置方法数值求解了一类分数阶多项延迟微分方程,
【Abstract】 This paper mainly studies the strong convergence of the exponential Euler-Maruyama method for a class of linear stochastic delay differential equations with Caputo time fractional derivative.Firstly,a sufficient condition for the existence and uniqueness of the solution of the equation is given.Secondly,an exponential Euler-Maruyama method for numerically solving that equations is constructed.Then,it is proved that the strong convergence order of this method is α-1/2,(α∈(1/2,1]).In particular,when α=1,the conclusions obtained are consistent with the results of the existing literature.Finally,the numerical example given at the end of the article verifies the correctness of the theoretical results obtained.
【Key words】 Stochastic fractional delay differential equations; Fractional calculus; Exponential Euler-Maruyama method; Strong convergence;
- 【文献出处】 高等学校计算数学学报 ,Numerical Mathematics A Journal of Chinese Universities , 编辑部邮箱 ,2022年04期
- 【分类号】O241.8
- 【下载频次】11