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A-stability of Runge-Kutta methods for systems with additive noise

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Abstract

Numerical stability of both explicit and implicit Runge-Kutta methods for solving ordinary differential equations with an additive noise term is studied. The concept of numerical stability of deterministic schemes is extended to the stochastic case, and a stochastic analogue of Dahlquist'sA-stability is proposed. It is shown that the discretization of the drift term alone controls theA-stability of the whole scheme. The quantitative effect of implicitness uponA-stability is also investigated, and stability regions are given for a family of implicit Runge-Kutta methods with optimal order of convergence.

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References

  1. L. Arnold,Stochastic Differential Equations, Wiley, New York, 1974.

    MATH  Google Scholar 

  2. J. C. Butcher,On the implementation of implicit Runge-Kutta methods, BIT, 16, 237–240 (1976).

    Article  MATH  MathSciNet  Google Scholar 

  3. J. C. Butcher,The Numerical Analysis of Ordinary Differential Equations, Wiley, Chichester, 1987.

    MATH  Google Scholar 

  4. C. C. Chang,Numerical solution of stochastic differential equations with constant diffusion coefficients, Math. Comp. 49, 523–542 (1987).

    MATH  MathSciNet  Google Scholar 

  5. J. M. C. Clark, and R. J. Cameron,The maximum rate of convergence of discrete approximations for stochastic differential equations, in B. Grigelionis (ed.),Stochastic differential systems, Lecture Notes in Control and Information Systems, 25, Springer Verlag, Berlin, 1980.

    Google Scholar 

  6. G. Dahlquist,A special stability problem for linear multistep methods, BIT, 3, 27–43 (1963).

    Article  MATH  MathSciNet  Google Scholar 

  7. K. Dekker and J. G. Verwer,Stability of Runge-Kutta Methods for Stiff Nonlinear Differential Equations, North Holland, Amsterdam, 1984.

    MATH  Google Scholar 

  8. R. Janssen,Diskretisierung Stochasticher Differentialgleichungen, Preprint Nr. 51, FB Mathematik, Universität Kaiserslautern, 1982.

  9. P. E. Kloeden and E. Platen,The Numerical Solution of Stochastic Differential Equations, Springer Verlag, Berlin, 1991.

    Google Scholar 

  10. H. Liske and E. Platen,Simulation studies on time discrete diffusion approximations, Math. Comp. Simulation, 29, 253–260 (1987).

    Article  MathSciNet  MATH  Google Scholar 

  11. G. Maruyama,Continuous Markov processes and stochastic equations, Rend. Circ. Mat. Palermo, 4, 48–90 (1955).

    Article  MATH  MathSciNet  Google Scholar 

  12. E. J. McShane,Stochastic Calculus and Stochastic Models, Academic Press, New York, 1974.

    MATH  Google Scholar 

  13. G. N. Mil'shtein,The Numerical Integration of Stochastic Differential Equations (in Russian), Urals University Press, Sverdlovsk, 1988.

    Google Scholar 

  14. E. Pardoux and D. Talay,Discretization and simulation of stochastic differential equations, Acta Appl. Math., 3, 23–47 (1985).

    Article  MATH  MathSciNet  Google Scholar 

  15. W. P. Petersen,Stability and accuracy of simulations for stochastic differential equations, IPS Research Report No. 90-02, ETH-Zentrum, Zürich, January 1990.

    Google Scholar 

  16. E. Platen,An approximation method for a class of Ito equations, Litovsk. Matem. Sb. 21 (1981), 121–133.

    MATH  MathSciNet  Google Scholar 

  17. W. Rümelin,Numerical treatment of stochastic differential equations, SIAM J. Numer. Anal, 19, 604–613 (1982).

    Article  MATH  MathSciNet  Google Scholar 

  18. J. M. Sancho, M. San Miguel, S. L. Katz and J. D. Gunton,Analytical and numerical studies of computational noise, Phys. Rev. A 26, 1589–1609 (1982).

    Google Scholar 

  19. J. M. Varah,On the efficient implementation of implicit Runge-Kutta schemes, Math. Comp., 33, 557–561 (1979).

    MATH  MathSciNet  Google Scholar 

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This author was partially supported by the Italian Consiglio Nazionale delle Ricerche.

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Hernandez, D.B., Spigler, R. A-stability of Runge-Kutta methods for systems with additive noise. BIT 32, 620–633 (1992). https://doi.org/10.1007/BF01994846

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  • DOI: https://doi.org/10.1007/BF01994846

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