Abstract
Recently the Balanced method was introduced as a class of quasi-implicit methods for solving stiff stochastic differential equations. We examine asymptotic and mean-square stability for several implementations of the Balanced method and give a generalized result for the mean-square stability region of any Balanced method. We also investigate the optimal implementation of the Balanced method with respect to strong convergence.
Similar content being viewed by others
References
P. Billingsley, Probability and Measure, 3rd edn., Wiley, New York, 1995.
K. Burrage and P. M. Burrage, High strong order explicit Runge–Kutta methods for stochastic ordinary differential equations, Appl. Numer. Math., 22 (1996), pp. 81–101.
K. Burrage and T. Tian, Implicit stochastic Runge–Kutta methods for stochastic differential equations, BIT, 44 (2003), pp. 21–39.
D. Higham, Mean-square and asymptotic stability of the stochastic Theta method, SIAM J. Numer. Anal., 38 (2000), pp. 753–769.
P. E. Kloeden and E. Platen, Higher order implicit strong numerical schemes for stochastic differential equations, J. Stat. Phys., 66 (1992), pp. 283–314.
P. E. Kloeden and E. Platen, Numerical solution of stochastic differential equations, 3rd edn., Springer, Berlin, 2000.
G. Milstein, Numerical integration of stochastic differential equations, Urals Univ. Press, Sverdlovsk (in Russian), 1988.
G. Milstein, E. Platen, and H. Schurz, Balanced implicit methods for stiff stochastic systems, SIAM J. Numer. Anal., 35 (1998), pp. 1010–1019.
Y. Saito and T. Mitsui, T-stability of numerical scheme for stochastic differential equations, World Sci. Ser. Appl. Anal., 2 (1993), pp. 333–344.
Y. Saito and T. Mitsui, Stability analysis of numeric schemes for stochastic differential equations, SIAM J. Numer. Anal., 33 (1996), pp. 2254–2267.
Author information
Authors and Affiliations
Corresponding author
Additional information
AMS subject classification (2000)
65C30, 65L07
Rights and permissions
About this article
Cite this article
Alcock, J., Burrage, K. A note on the Balanced method . Bit Numer Math 46, 689–710 (2006). https://doi.org/10.1007/s10543-006-0098-4
Received:
Accepted:
Published:
Issue Date:
DOI: https://doi.org/10.1007/s10543-006-0098-4