Skip to main content
Log in

Polynomials orthogonal with respect to exponential integrals

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

Abstract

Moment-based methods and related Matlab software are provided for generating orthogonal polynomials and associated Gaussian quadrature rules having as weight function the exponential integral E ν of arbitrary positive order ν supported on the positive real line or on a finite interval [0,c], c>0. By using the symbolic capabilities of Matlab, allowing for variable-precision arithmetic, the codes provided can be used to obtain as many of the recurrence coefficients for the orthogonal polynomials as desired, to any given accuracy, by choosing d-digit arithmetic with d large enough to compensate for the underlying ill-conditioning.

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. Abramowitz, M., Stegun, I.A. (eds.): Handbook of Mathematical Functions with Formulas, Graphs, and Marthematical Tables, National Bureau of Standards, Appl. Math. Ser. 55, U. S. Government Printing Office, Washington. D. C. (1964)

  2. Chandrasekhar, S.: Radiative Transfer, the International Series of Monographs on Physics. Oxford Univeristy Press, Oxford (1950)

    MATH  Google Scholar 

  3. Danloy, B.: Numerical construction of Gaussian quadrature formulas for \({{\int }_{0}^{1}} (-\text {Log}\,x)\cdot x^{\alpha }\cdot f(x)\cdot dx\) and \({\int }_{0}^{\infty } E_{m}(x)\cdot f(x)\cdot dx\). Math. Comp. 27, 861–869 (1973)

    MathSciNet  MATH  Google Scholar 

  4. Gautschi, W.: Algorithm 331—Gaussian quadrature formulas. Comm. ACM 11, 432–436 (1968)

    Article  Google Scholar 

  5. Gautschi, W.: Orthogonal Polynomials: Computation and Approximation, Numerical Mathematics and Scientific Computation. Oxford University Press, Oxford (2004)

    Google Scholar 

  6. Gautschi, W.: Variable-precision recurrence coefficients for nonstandard orthogonal polynomials. Numer. Algorithms 52, 409–418 (2009). Also in Selected Works, vol. 2, 266–275

    Article  MathSciNet  MATH  Google Scholar 

  7. Gautschi, W.: Sub-range Jacobi polynomials. Numer. Algorithms 61, 275–290 (2012). Also in Selected Works, vol. 2, 277–285

    Article  MathSciNet  MATH  Google Scholar 

  8. Gautschi, W.: Repeated modifications of orthogonal polynomials by linear divisors. Numer. Algorithms 63, 369–383 (2013). Also in Selected Works, vol. 2, 287–301

    Article  MathSciNet  MATH  Google Scholar 

  9. Kegel, W.H.: Zur numerischen Berechnung der Integrale \({\int }_{0}^{\tau } f(x)K_{n}(x)dx\), Z. Astrophys 54, 34–40 (1962)

    MathSciNet  MATH  Google Scholar 

  10. Reiz, A.: Quadrature formulae for the numerical calculation of mean intensities and fluxes in a stellar atmosphere. Arkiv Astronomi 1, 147–153 (1950)

    MathSciNet  MATH  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Walter Gautschi.

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Gautschi, W. Polynomials orthogonal with respect to exponential integrals. Numer Algor 70, 215–226 (2015). https://doi.org/10.1007/s11075-014-9943-8

Download citation

  • Received:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s11075-014-9943-8

Keywords

Mathematics Subject Classification (2010)

Navigation