Skip to main content
Log in

A note on the Euler–Maruyama scheme for stochastic differential equations with a discontinuous monotone drift coefficient

  • Published:
BIT Numerical Mathematics Aims and scope Submit manuscript

Abstract

It is shown that the Euler–Maruyama scheme applied to a stochastic differential equation with a discontinuous monotone drift coefficient, such as a Heaviside function, and additive noise converges strongly to a solution of the stochastic differential equation with the same initial condition. The proof uses upper and lower solutions of the stochastic differential equations and the Euler–Maruyama scheme.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Similar content being viewed by others

References

  1. S. Assing and R. Manthey, The behavior of solutions of stochastic differential inequalities, Probab. Theory Relat. Fields, 103 (1995), pp. 493–514.

    Article  MATH  MathSciNet  Google Scholar 

  2. I. Chueshov, Monotone Random Systems – Theory and Applications, Lect. Notes Math., vol. 1779, Springer, Heidelberg, 2002.

    MATH  Google Scholar 

  3. I. Gyöngy, A note on Euler’s approximations, Potent. Anal., 8 (1998), pp. 205–216.

    Article  MATH  Google Scholar 

  4. I. Gyöngy and N. Krylov, Existence of strong solutions for Ito’s stochastic equations via approximations, Probab. Theory Relat. Fields., 105 (1996), pp. 143–158.

    Article  MATH  Google Scholar 

  5. N. Halidias and P. E. Kloeden, A note on strong solutions of stochastic differential equations with a discontinuous drift coefficient, J. Appl. Math. Stoch. Anal., Art.-ID 73257 (2006), pp. 1–6.

  6. I. Karatzas and S. Shreve, Brownian Motion and Stochastic Calculus, Springer, Berlin, 1991.

    MATH  Google Scholar 

  7. P. E. Kloeden and E. Platen, Numerical Solution of Stochastic Differential Equations, Springer, Berlin, 1992.

    MATH  Google Scholar 

  8. N. V. Krylov, On weak uniqueness for some diffusions with discontinuous coefficients, Stochastic Process. Appl., 113(1) (2004), pp. 37–64.

    Article  MATH  MathSciNet  Google Scholar 

  9. N. V. Krylov and R. Liptser, On diffusion approximation with discontinuous coefficients, Stochastic Process. Appl., 102(2) (2002), pp. 235–264.

    Article  MATH  MathSciNet  Google Scholar 

  10. X. Mao, Stochastic Differential Equations and Applications, Horwood Publishing Limited, Chirchester, 1997.

    MATH  Google Scholar 

  11. B. Oksendal, Stochastic Differential Equations: An Introduction with Applications, 4th edn., Springer, Berlin, 1995.

    Google Scholar 

  12. J. Jacod and P. Protter, Probability Essentials, Springer, Berlin, 2003.

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Peter E. Kloeden.

Additional information

AMS subject classification (2000)

60H10, 60H20, 60H30

Rights and permissions

Reprints and permissions

About this article

Cite this article

Halidias, N., Kloeden, P. A note on the Euler–Maruyama scheme for stochastic differential equations with a discontinuous monotone drift coefficient . Bit Numer Math 48, 51–59 (2008). https://doi.org/10.1007/s10543-008-0164-1

Download citation

  • Received:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s10543-008-0164-1

Key words

Navigation