线性随机变时滞微分方程指数Euler方法的收敛性和稳定性

CONVERGENCE AND STABILITY OF EXPONENTIAL EULER METHOD FOR LINEAR STOCHASTIC DIFFERENTIAL EQUATIONS WITH VARIABLE DELAY

本文应用指数Euler方法研究了线性随机变时滞微分方程的收敛性和稳定性;首先,证明了指数Euler方法是1/2阶均方收敛的;其次,在解析解均方稳定的前提下,通过跟Euler-Maruyama方法比较发现指数Euler方法在大步长下依然保持解析解的均方稳定性;最后,用数值试验验证了收敛和稳定的结果.

In this paper,the convergence and stability of linear stochastic variable delay differential equations are studied by using the exponential Euler method.Firstly,the mean square convergence of the exponential Euler method is proved and the convergence order is 1/2.Secondly,on the premise of the mean square stability of the analytical solution,by comparing with the Euler-Maruyama method,it is found that the exponential Euler method still maintains the mean square stability of the analytical solution in large step size.Finally,the convergence and stability of the results are verified by numerical experiments.