Skip to main content
Log in

The improvement of the truncated Euler-Maruyama method for non-Lipschitz stochastic differential equations

  • Published:
Advances in Computational Mathematics Aims and scope Submit manuscript

Abstract

This paper is concerned with the numerical approximations for stochastic differential equations with non-Lipschitz drift or diffusion coefficients. A modified truncated Euler-Maruyama discretization scheme is developed. Moreover, by establishing the criteria on stochastic C-stability and B-consistency of the truncated Euler-Maruyama method, we obtain the strong convergence and the convergence rate of the numerical method. Finally, numerical examples are given to illustrate our theoretical results.

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. Mao, X.: A note on the LaSalle-type theorems for stochastic differential delay equations. J. Math. Anal. Appl. 268, 125–142 (2002)

    Article  MathSciNet  Google Scholar 

  2. Ait-Sahalia, Y.: Testing continuous-time models of the spot interest rate. Rev. Financial Stud. 9, 385–426 (1996)

    Article  Google Scholar 

  3. Cox, J., Ingersoll, J., Ross, S.: A theory of the term structure of interest rates. Econometrica 53, 385–407 (1985)

    Article  MathSciNet  Google Scholar 

  4. Heston, S.: A simple new formula for options with stochastic volatility. Course notes. Washington University, St. Louis, MO (1997)

  5. Gray, A., Greenhalgh, D., Hu, L., Mao, X., Pan, J.: A stochastic differential eqution SIS epidemic model. SIAM J. Appl. Math. 71, 876–902 (2011)

    Article  MathSciNet  Google Scholar 

  6. Hutzenthaler, M., Jentzen, A., Kloeden, P.E.: Strong and weak divergence in finite time of Eulers method for stochastic differential equations with non-globally Lipschitz continuous coefficients. Proc. R. Soc. Lond. Ser. A Math. Phys. Eng. Sci. 467, 1563–1576 (2011)

    MathSciNet  Google Scholar 

  7. Hutzenthaler, M., Jentzen, A., Kloeden, P.E.: Strong convergence of an explicit numerical method for SDEs with nonglobally Lipschitz continuous coefficients. Ann. Appl. Probab. 22, 1611–1641 (2012)

    Article  MathSciNet  Google Scholar 

  8. Liu, W., Mao, X.: Strong convergence of the stopped Euler-Maruyama method for nonlinear stochastic differential equations. Appl. Math. Comput. 223, 389–400 (2013)

    MathSciNet  Google Scholar 

  9. Mao, X.: The truncated Euler-Maruyama method for stochastic differential equations. J. Comput. Appl. Math. 290, 370–384 (2015)

    Article  MathSciNet  Google Scholar 

  10. Mao, X.: Convergence rates of the truncated Euler-Maruyama method for stochastic differential equations. J. Comput. Appl. Math. 296, 362–375 (2016)

    Article  MathSciNet  Google Scholar 

  11. Guo, Q., Liu, W., Mao, X., Yue, R.: The partially truncated Euler-Maruyama method and its stability and boundedness. Appl. Numer. Math. 115, 235–251 (2017)

    Article  MathSciNet  Google Scholar 

  12. Guo, Q., Liu, W., Mao, X.: A note on the partially truncated Euler-Maruyama method. Appl. Numer. Math. 130, 157–170 (2018)

    Article  MathSciNet  Google Scholar 

  13. Beyn, W., Isaak, E., Kruse, R.: Stochastic C-stability and B-consistency of explicit and implicit Euler-type schemes. J. Sci. Comput. 67, 955–987 (2016)

    Article  MathSciNet  Google Scholar 

  14. Beyn, W., Isaak, E., Kruse, R.: Stochastic C-stability and B-consistency of explicit and implicit Milstein-type schemes. J. Sci. Comput. 70, 1042–1077 (2017)

    Article  MathSciNet  Google Scholar 

  15. Higham, D.J., Mao, X., Stuart, A.M.: Strong convergence of Euler-type methods for nonlinear stochastic differential equations. SIAM J. Numer. Anal. 40, 1041–1063 (2002)

    Article  MathSciNet  Google Scholar 

  16. Chassagneux, J., Jacquier, A., Mihaylov, I.: An explicit Euler scheme with strong rate of convergence for financial SDEs with non-Lipschitz coefficients. SIAM J. Financial Math. 7, 993–1021 (2016)

    Article  MathSciNet  Google Scholar 

  17. Szpruch, L., Mao, X., Higham, D.J., Pan, J.: Numerical simulation of a strongly nonlinear Ait-Sahalia-type interest rate model. BIT Numer. Math. 51, 405–425 (2011)

    Article  MathSciNet  Google Scholar 

Download references

Acknowledgements

The authors would like to thank the editors and referees for their very helpful comments and suggestions. The authors would like to thank the financial support by the Anhui University Natural Science Research Project(KJ2021A0107) and the Shanghai Sailing Program (21YF1416100).

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Yuyuan Li.

Ethics declarations

Conflict of interest

The authors declare that they have no conflict of interest.

Additional information

Communicated by: Raymond H. Chan

Publisher's Note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Supplementary Information

Below is the link to the electronic supplementary material.

Supplementary file 1 (pdf 51 KB)

Rights and permissions

Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law.

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Zhan, W., Li, Y. The improvement of the truncated Euler-Maruyama method for non-Lipschitz stochastic differential equations. Adv Comput Math 50, 30 (2024). https://doi.org/10.1007/s10444-024-10131-w

Download citation

  • Received:

  • Accepted:

  • Published:

  • DOI: https://doi.org/10.1007/s10444-024-10131-w

Keywords

Mathematics Subject Classification (2010)

Navigation