Two-Stage Stochastic Runge-Kutta Methods for Stochastic Differential Equations

In this paper we discuss two-stage diagonally implicit stochastic Runge-Kutta methods with strong order 1.0 for strong solutions of Stratonovich stochastic differential equations. Five stochastic Runge-Kutta methods are presented in this paper. They are an explicit method with a large MS-stability region, a semi-implicit method with minimum principal error coefficients, a semi-implicit method with a large MS-stability region, an implicit method with minimum principal error coefficients and another implicit method. We also consider composite stochastic Runge-Kutta methods which are the combination of semi-implicit Runge-Kutta methods and implicit Runge-Kutta methods. Two composite methods are presented in this paper. Numerical results are reported to compare the convergence properties and stability properties of these stochastic Runge-Kutta methods.

[1]  J. Butcher The numerical analysis of ordinary differential equations: Runge-Kutta and general linear methods , 1987 .

[2]  Yoshio Komori,et al.  Rooted tree analysis of the order conditions of row-type scheme for stochastic differential equations , 1997 .

[3]  W. Rüemelin Numerical Treatment of Stochastic Differential Equations , 1982 .

[4]  E. Platen,et al.  Balanced Implicit Methods for Stiff Stochastic Systems , 1998 .

[5]  K. Burrage,et al.  Predictor-Corrector Methods of Runge-Kutta Type for Stochastic Differential Equations , 2002, SIAM J. Numer. Anal..

[6]  E. Platen An introduction to numerical methods for stochastic differential equations , 1999, Acta Numerica.

[7]  Kevin Burrage,et al.  Order Conditions of Stochastic Runge-Kutta Methods by B-Series , 2000, SIAM J. Numer. Anal..

[8]  K. Burrage,et al.  High strong order explicit Runge-Kutta methods for stochastic ordinary differential equations , 1996 .

[9]  Desmond J. Higham,et al.  Mean-Square and Asymptotic Stability of the Stochastic Theta Method , 2000, SIAM J. Numer. Anal..

[10]  Tianhai Tian,et al.  A note on the stability properties of the Euler methods for solving stochastic differential equations , 2000 .

[11]  Nigel J. Newton Asymptotically efficient Runge-Kutta methods for a class of ITOˆ and Stratonovich equations , 1991 .

[12]  S. Zacks,et al.  Introduction to stochastic differential equations , 1988 .

[13]  P. Kloeden,et al.  Numerical Solution of Stochastic Differential Equations , 1992 .

[14]  Kevin Burrage,et al.  A bound on the maximum strong order of stochastic Runge-Kutta methods for stochastic ordinary differential equations , 1997 .

[15]  Yoshihiro Saito,et al.  Stability Analysis of Numerical Schemes for Stochastic Differential Equations , 1996 .

[16]  Pamela Burrage,et al.  Runge-Kutta methods for stochastic differential equations , 1999 .

[17]  Kevin Burrage,et al.  General order conditions for stochastic Runge-Kutta methods for both commuting and non-commuting stochastic ordinary differential equation systems , 1998 .