Skip to main content
Log in

Taylor expansion method for nonlinear evolution equations

  • Published:
Applied Mathematics and Mechanics Aims and scope Submit manuscript

Abstract

A new numerical method of integrating the nonlinear evolution equations, namely the Taylor expansion method, was presented. The standard Galerkin method can be viewed as the 0-th order Taylor expansion method; while the nonlinear Galerkin method can be viewed as the 1-st order modified Taylor expansion method. Moreover, the existence of the numerical solution and its convergence rate were proven. Finally, a concrete example, namely, the two-dimensional Navier-Stokes equations with a non slip boundary condition, was provided. The result is that the higher order Taylor expansion method is of the higher convergence rate under some assumptions about the regularity of the solution.

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. Temam R.Infinite Dimensional Dynamical Systems in Mechanics and Physics[M]. Springer-Verlag, New York, Berlin, Heidelberg, London, 1988.

    MATH  Google Scholar 

  2. Foias C, Sell G R, Temam R. Inertial manifolds for the nonlinear evolutionary equations[J].J Differential Equations, 1988,73(2): 309–353.

    Article  MATH  MathSciNet  Google Scholar 

  3. Ambrosetti A, Prodi G.A Primer of Nonlinear Analysis[M]. Cambridge University Press, Cambridge, 1995.

    MATH  Google Scholar 

  4. Chen Mingjun, Chen Zhongying.Operator Equations and Their Approximate Solutions by Projection Method[M]. Guangdong Science and Technology Press, Guangzhou, 1992 (in Chinese).

    Google Scholar 

  5. He Yinnian, Li Kaitai. Taylor expansion algorithms for the nonlinear operator equations[J].Acta Mathematics Sinica, 1998,41(2): 317–326 (in Chinese).

    Google Scholar 

  6. Li Kaitai, Huang Aixiang, He Yinnian. Full discrete nonlinear Galerkin methods[A]. In: Ying Lungan, Guo Benyu (eds).Numerical Methods for Partal Differential Equations[C]. World Scientific, Singapore, 1992, 61–82.

    Google Scholar 

  7. Marion M, Temam R. Nonlinear Galerkin methods[J].SIAM J Numer Anal, 1989,26(5): 1139–1157.

    Article  MATH  MathSciNet  Google Scholar 

  8. Devulder C, Marion M, Titi E S. On the rate of convergence of nonlinear Galerkin methods[J].Math Comput, 1993,60(202): 495–514.

    Article  MATH  MathSciNet  Google Scholar 

  9. Shen Jie. Long time stability and convergence for fully discrete nonlinear Galerkin methods[J].Appl Anal, 1990,38(4): 201–229.

    MathSciNet  Google Scholar 

  10. Heywood J G, Rannacher R. On the question of turbulence modeling by the approximate inertial manifolds and the nonlinear Galerkin method[J].SIAM J Numer Anal, 1993,30(6): 1603–1621.

    Article  MATH  MathSciNet  Google Scholar 

  11. Marion M, Xu Jinchao. Error estimates a new nonlinear Galerkin method based on two-grid finite elements[J].SIAM J Numer Anal, 1995,32(4): 1170–1184.

    Article  MATH  MathSciNet  Google Scholar 

  12. Temam R.Navier-Stokes Equations, Theory and Numerical Analysis[M]. North-Holland, Amsterdam, 1984.

    Google Scholar 

  13. Garcia-Archilla B, Novo J, Titi E S. An approximate inertial manifolds approach to postprocessing the Galerkin method for the Navier-Stokes equations[J].Math Comput, 1999,68(227): 893–911.

    Article  MATH  MathSciNet  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to He Yin-nian.

Additional information

Communicated by Zhang Hong-qing and Xu Zheng-fan

Project supported by the National Natural Science Foundation of China (No. 10371095) and the Natural Science Foundation of Shaanxi Province of China (No. 2003 A01)

Rights and permissions

Reprints and permissions

About this article

Cite this article

Yin-nian, H. Taylor expansion method for nonlinear evolution equations. Appl Math Mech 26, 522–529 (2005). https://doi.org/10.1007/BF02465392

Download citation

  • Received:

  • Revised:

  • Issue Date:

  • DOI: https://doi.org/10.1007/BF02465392

Key words

Chinese Library Classification

2000 Mathematics Subject Classification

Navigation