Skip to main content
Log in

Truncated Series and Formal Exponential-Logarithmic Solutions of Linear Ordinary Differential Equations

  • ORDINARY DIFFERENTIAL EQUATIONS
  • Published:
Computational Mathematics and Mathematical Physics Aims and scope Submit manuscript

Abstract

The approach we used earlier to construct Laurent and regular solutions enables one, in combination with the well-known Newton polygon algorithm, to find formal exponential-logarithmic solutions of linear ordinary differential equations the coefficients of which have the form of truncated power series. (Thus, only incomplete information about the original equation is available.) The series involved in the solution are also represented in truncated form. For these series, the combined approach proposed enables one to obtain the maximum possible number of terms.

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. A. Abramov, A. A. Ryabenko, and D. E. Khmelnov, “Linear ordinary differential equations and truncated series,” Comput. Math. Math. Phys. 59 (10), 1649–1659 (2019).

    Article  MathSciNet  Google Scholar 

  2. S. A. Abramov, A. A. Ryabenko, and D. E. Khmelnov, “Regular solutions of linear ordinary differential equations and truncated series,” Comput. Math. Math. Phys. 60 (1), 1–14 (2020).

    Article  MathSciNet  Google Scholar 

  3. B. Malgrange, Sur la reduction formelle des equations differentielles a singularites irregulieres (Univ. Sci. Med. Grenoble, Grenoble, 1979).

    Google Scholar 

  4. E. Tournier, Thèse d’État. Université de Grenoble (Grenoble, 1987).

  5. M. Barkatou, “Rational Newton algorithm for computing formal solutions of linear differential equations,” Lect. Notes Comput. Sci. 358, 183–195 (1989).

    Article  MathSciNet  Google Scholar 

  6. M. Barkatou and F. Richard-Jung, “Formal solutions of linear differential and difference equations,” Program. Comput. Software 23 (1), 17–30 (1997).

    MathSciNet  MATH  Google Scholar 

  7. A. D. Bruno, “Asymptotic behavior and expansions of solutions to an ordinary differential equation,” Russ. Math. Surv. 59 (3), 429–480 (2004).

    Article  MathSciNet  Google Scholar 

  8. A. D. Bruno, “Expansion of solutions to an ordinary differential equation into transseries,” Dokl. Math. 99 (1), 36–39 (2019).

    Article  Google Scholar 

  9. Maple Online Help. http://www.maplesoft.com/support/help/

  10. G. Frobenius, “Integration der linearen Differentialgleichungen mit veränder Koefficienten,” J. Reine Angew. Math. 76, 214–235 (1873).

    MathSciNet  Google Scholar 

  11. L. Heffter, Einleitung in die Theorie der linearen Differentialgleichungen (Teubner, Leipzig, 1894).

    MATH  Google Scholar 

  12. E. A. Coddington and N. Levinson, Theory of Ordinary Differential Equations (McGraw-Hill, New York, 1955).

    MATH  Google Scholar 

  13. S. A. Abramov, A. A. Ryabenko, and D. E. Khmelnov, “Procedures for searching Laurent and regular solutions of linear differential equations with the coefficients in the form of truncated power series,” Program. Comput. Software 46 (2), 67–75 (2020).

    Article  MathSciNet  Google Scholar 

Download references

ACKNOWLEDGMENTS

We are grateful to Maplesoft (Waterloo, Canada) for consultations and discussions.

Funding

This work was supported by the Russian Foundation for Basic Research, project no. 19-01-00032.

Author information

Authors and Affiliations

Authors

Corresponding authors

Correspondence to S. A. Abramov, A. A. Ryabenko or D. E. Khmelnov.

Additional information

Translated by E. Chernokozhin

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Abramov, S.A., Ryabenko, A.A. & Khmelnov, D.E. Truncated Series and Formal Exponential-Logarithmic Solutions of Linear Ordinary Differential Equations. Comput. Math. and Math. Phys. 60, 1609–1620 (2020). https://doi.org/10.1134/S0965542520100024

Download citation

  • Received:

  • Revised:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1134/S0965542520100024

Keywords:

Navigation