Skip to main content
Log in

Orthogonal polynomials relative to weight functions of Prudnikov type

  • Original Paper
  • Published:
Numerical Algorithms Aims and scope Submit manuscript

Abstract

Moment-based methods are used to generate the three-term recurrence relation for polynomials orthogonal with respect to the Prudnikov, the generalized Prudnikov, and Prudnikov-type weight functions and their symmetric extensions. All procedures developed are implemented, and made available, in MATLAB software.

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. Brychkov, Yu.A., Marichek, A.O.I., Savischenko, N.V.: Handbook of Mellin transforms, Advances in Applied Mathematics. CRC Press, Boca Raton (2019)

    Google Scholar 

  2. Coussement, E., Van Assche, W.: Properties of multiple orthogonal polynomials associated with Macdonald functons. Proceedings of the Fifth International Symposium on Orthogonal Polynomials, Special Functions and their Applications (Patras, 1999). J. Comp. Appl. Math. 133, 253–261 (2001)

    Article  Google Scholar 

  3. Gautschi, W.: Orthogonal polynomials in MATLAB. Exercises and Solutions, Software, Environments and Tools, 26. Society for Industrial and Applied Mathematics (SIAM), Philadelphia (2016)

    Book  Google Scholar 

  4. Gautschi, W.: A software repository for orthogonal polynomials, Software, Environments and Tools 28. Society for Industrial and Applied Mathematics (SIAM), Philadelphia (2018)

    Book  Google Scholar 

  5. Gordon, R.G.: Constructing wavefunctions for nonlocal potentials. J. Chem. Phys. 52, 6211–6217 (1970)

    Article  MathSciNet  Google Scholar 

  6. Olver, F.W.J., et al. (eds.): NIST Handbook of Mathematical Functions. Cambridge University Press, Cambridge (2010)

  7. Van Assche, W.: Open problems. Proceedings of the Seventh Spanish Symposium on Orthogonal Polynomials and Applications (VII SPOA) (Granada 1991). J. Comput. Appl. Math. 48, 225–243 (1993)

    Article  MathSciNet  Google Scholar 

  8. Van Assche, W., Yakubovich, S.B.: Multiple orthogonal polynomials associated with Macdonald functions. Integral Transform. Spec. Funct. 9, 229–244 (2000)

    Article  MathSciNet  Google Scholar 

  9. Walter, G: A software repository for Gaussian quadratures and Christoffel functions, Software, Environments and Tools, 32. Society for Industrial and Applied Mathematics (SIAM), Philadelphia (2021)

    MATH  Google Scholar 

  10. Yakubovich, S.: Orthogonal polynmials with the Prudnikov-type weights. Complex Anal. Oper. Theory 14(1), Art. 26, pp. 27 (2020)

    Article  Google Scholar 

  11. Yakubovich, S.: Orthogonal polynomials with ultra-exponential weight functions An explicit solution to the Ditkin–Prudnikov problem. Constr. Approx. 53, 1–38 (2021)

    Article  MathSciNet  Google Scholar 

  12. Zhang, L.: A note on the limiting mean distribution of singular values for products of two Wishart random matrices. J. Math. Phys. 54(8), 083303, 8 (2013)

    Article  MathSciNet  Google Scholar 

Download references

Acknowledgements

The authors thank Walter Van Assche for drawing their attention to related work on multiple orthogonal polynomials in [2, 8], and [12].

Funding

The work of the second author was supported in part by the Serbian Academy of Sciences and Arts (Φ-96).

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Walter Gautschi.

Additional information

Publisher’s note

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

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Gautschi, W., Milovanović, G.V. Orthogonal polynomials relative to weight functions of Prudnikov type. Numer Algor 90, 263–270 (2022). https://doi.org/10.1007/s11075-021-01187-6

Download citation

  • Received:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s11075-021-01187-6

Keywords

Mathematics Subject Classification (2010)

Navigation