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Orthogonal Polynomials and Special Functions

Computation and Applications

  • Francisco Marcellán
  • Walter Van Assche

Part of the Lecture Notes in Mathematics book series (LNM, volume 1883)

Table of contents

About this book

Introduction

Special functions and orthogonal polynomials in particular have been around for centuries. Can you imagine mathematics without trigonometric functions, the exponential function or polynomials? In the twentieth century the emphasis was on special functions satisfying linear differential equations, but this has now been extended to difference equations, partial differential equations and non-linear differential equations.

The present set of lecture notes containes seven chapters about the current state of orthogonal polynomials and special functions and gives a view on open problems and future directions. The topics are: computational methods and software for quadrature and approximation, equilibrium problems in logarithmic potential theory, discrete orthogonal polynomials and convergence of Krylov subspace methods in numerical linear algebra, orthogonal rational functions and matrix orthogonal rational functions, orthogonal polynomials in several variables (Jack polynomials) and separation of variables, a classification of finite families of orthogonal polynomials in Askey’s scheme using Leonard pairs, and non-linear special functions associated with the Painlevé equations.

Keywords

Askey scheme MATLAB Painlevé equations difference equation differential equation exponential function logarithm numerical linear algebra orthogonal polynomials partial differential equation quadrature special functions

Editors and affiliations

  • Francisco Marcellán
    • 1
  • Walter Van Assche
    • 2
  1. 1.Departamento de MatemáticasUniversidad Carlos III de MadridLeganesSpain
  2. 2.Department of MathematicsKatholieke Universiteit LeuvenLeuvenBelgium

Bibliographic information

  • DOI https://doi.org/10.1007/b128597
  • Copyright Information Springer 2006
  • Publisher Name Springer, Berlin, Heidelberg
  • eBook Packages Mathematics and Statistics
  • Print ISBN 978-3-540-31062-4
  • Online ISBN 978-3-540-36716-1
  • Series Print ISSN 0075-8434
  • Series Online ISSN 1617-9692
  • Buy this book on publisher's site
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