Skip to main content

Stability Analysis of 4-Stage Stochastic Runge-Kutta Method (SRK4) and Specific Stochastic Runge-Kutta Method (SRKS1.5) for Stochastic Differential Equations

  • Conference paper
  • First Online:
Proceedings of the Third International Conference on Computing, Mathematics and Statistics (iCMS2017)

Abstract

This paper is devoted to investigate the mean-square stability of 4-stage stochastic Runge-Kutta (SRK4) and specific stochastic Runge-Kutta (SRKS1.5) methods for linear stochastic differential equations (SDEs). The mean-square stability functions of SRK4 and SRKS1.5 are derived. The regions in which the methods are stable in the mean-square sense are plotted. Numerical experiments are performed to verify the stability properties of both methods.

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

Access this chapter

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 39.99
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Hardcover Book
USD 54.99
Price excludes VAT (USA)
  • Durable hardcover edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

References

  1. Norhayati, R., Arifah, B., Yeak, S.H., Haliza, A.R., Madihah, M.S.: Performance of Euler-Maruyama, 2-stage SRK and 4- stage SRK in approximating the strong solution of stochastic model. Sains Malaysiana 39, 851–857 (2010)

    Google Scholar 

  2. Xiao, A., Tang, X.: High strong order stochastic Runge-kutta method for stratonovich stochastic differential equations with scalar noise. Springer, New York (2015)

    MATH  Google Scholar 

  3. Milstein, G.N.: Numerical Integration of Stochastic Differential Equations. Springer, Berlin (1995)

    Book  Google Scholar 

  4. Kloeden, P.E., Platen, E.: Numerical Solution of Stochastic Differential Equations. Springer, Berlin (1992)

    Book  Google Scholar 

  5. Burrage, K., Burrage, P.M.: High strong order explicit Runge-Kutta methods for stochastic ordinary differential equations. Appl. Numer. Math. 22(1–3), 81–101 (1996)

    Google Scholar 

  6. Saito, Y., Mitsui, T.: Stability analysis of numerical schemes for stochastic differential equations. SIAM J. Num. Anal. 33(6), 2254–2267 (1996)

    Article  MathSciNet  Google Scholar 

  7. Burrage, P.M.: Runge-Kutta methods for stochastic differential equations. Ph.D. thesis, University of Queensland, Australia (1999)

    Google Scholar 

  8. Higham, D.J.: Mean-square and asymptotic stability of the stochastic theta method. SIAM J. Numer. Anal. 38(3), 753–769 (2000)

    Article  MathSciNet  Google Scholar 

  9. Saito, Y., Mitsui, T.: Mean-square stability of numerical schemes for stochastic differential systems. Vietnam J. Math. 30, 551–560 (2002)

    MathSciNet  MATH  Google Scholar 

  10. Liu, M.Z., Spijker, M.N.: The stability of the θ-methods in the numerical solution of delay differential equations. IMA J. Numer. Anal. 10(1), 31–48 (1990)

    Article  MathSciNet  Google Scholar 

  11. Ryashko, L.B., Schurz, H.: Mean square stability analysis of some linear stochastic systems. Dyn. Syst. Appl. 6, 165–190 (1997)

    MathSciNet  MATH  Google Scholar 

Download references

Acknowledgements

We would like to thank the Ministry of Education (MOE) and Research and Innovation Department, Universiti Malaysia Pahang (UMP) for their financial supports through FRGS Vote No: RDU130122 and Internal UMP Grant RDU1703190.

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Noor Amalina Nisa Ariffin .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2019 Springer Nature Singapore Pte Ltd.

About this paper

Check for updates. Verify currency and authenticity via CrossMark

Cite this paper

Ariffin, N.A.N., Rosli, N., Kasim, A.R.M. (2019). Stability Analysis of 4-Stage Stochastic Runge-Kutta Method (SRK4) and Specific Stochastic Runge-Kutta Method (SRKS1.5) for Stochastic Differential Equations. In: Kor, LK., Ahmad, AR., Idrus, Z., Mansor, K. (eds) Proceedings of the Third International Conference on Computing, Mathematics and Statistics (iCMS2017). Springer, Singapore. https://doi.org/10.1007/978-981-13-7279-7_23

Download citation

  • DOI: https://doi.org/10.1007/978-981-13-7279-7_23

  • Published:

  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-13-7278-0

  • Online ISBN: 978-981-13-7279-7

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics