Orthogonal Functions
eBook - ePub

Orthogonal Functions

Moment Theory and Continued Fractions

  1. English
  2. ePUB (mobile friendly)
  3. Available on iOS & Android
eBook - ePub

Orthogonal Functions

Moment Theory and Continued Fractions

About this book

"Oulines an array of recent work on the analytic theory and potential applications of continued fractions, linear functionals, orthogonal functions, moment theory, and integral transforms. Describes links between continued fractions. Pade approximation, special functions, and Gaussian quadrature."

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Yes, you can access Orthogonal Functions by William Jones,A. Sri Ranga in PDF and/or ePUB format, as well as other popular books in Mathematics & Mathematics General. We have over one million books available in our catalogue for you to explore.

Information

Chebyshev–Laurent Polynomials and Weighted Approximation

ELIANA X. L. DE ANDRADE and DIMITAR K. DIMITROV1 Departamento de CiĂȘncias de Computação e EstatĂ­stica, lnstituto de BiociĂȘncias, Letras e CiĂȘncias Exatas, Universidade Estadual Paulista, 15054-000 - SĂŁo JosĂ© do Rio Preto, SP, Brazil

Let (a, b) ⊂ (0, ∞) and for any positive integer n, let Sn be the Chebyshev space in [a, b] defined by Sn := span { x−n/2+k, k = 0,
, n }. The unique (up to a constant factor) function τn ∈ Sn, which satisfies the orthogonality relation ∫abτn(x)q(x)(x(b−x)(x−a))−1/2dx=0 for any q ∈ Sn – 1, is said to be the orthogonal Chebyshev Sn-polynomials. This paper is an attempt to exibit some interesting properties of the orthogonal Chebyshev Sn-polynomials and to demonstrate their importance to the problem of approximation by Sn-polynomials. A simple proof of a Jackson-type theorem is given and the Lagrange interpolation problem by functions from Sn is discussed. It is shown also that τn obeys an extremal property...

Table of contents

  1. Cover
  2. Half Title
  3. Title Page
  4. Copyright Page
  5. Preface
  6. Table of Contents
  7. Contributors
  8. Participants
  9. 1. Chebyshev-Laurent Polynomials and Weighted Approximation
  10. 2. Natural Solutions of Indeterminate Strong Stieltjes Moment Problems Derived from PC-Fractions
  11. 3. A Class of Indeterminate Strong Stieltjes Moment Problems with Discrete Distributions
  12. 4. Symmetric Orthogonal L-Polynomials in the Complex Plane
  13. 5. Continued Fractions and Orthogonal Rational Functions
  14. 6. Interpolation of Nevanlinna Functions by Rationals with Poles on the Ral Line
  15. 7. Symmetric Orthogonal Laurent Polynomials
  16. 8. Interpolating Laurent Polynomials
  17. 9. Computation of the Binet and Gamma Functions by Stieltjes Continued Fractions
  18. 10. Formulas for the Moments of Some Strong Moment Distributions
  19. 11. Orthogonal Laurent Polynomials of Jacobi, Hermite, and Laguerre Types
  20. 12. Regular Strong Hamburger Moment Problems
  21. 13. Asymptotic Behavior of the Continued Fraction Coefficients of a Class of Stieltjes Transforms Including the Binet Function
  22. 14. Uniformity and Speed of Convergence of Complex Continued Fractions K(an/1).
  23. 15. Separation Theorem of Chebyshev–Markov-Stieltjes Type for Laurent Polynomials Orthogonal on (0, ∞)
  24. 16. Orthogonal Polynomials Associated with a Nondiagonal Sobolev Inner Product with Polynomial Coefficients
  25. 17. Remarks on Canonical Solutions of Strong Moment Problems
  26. 18. Sobolev Orthogonality and Properties of the Generalized Laguerre Polynomials
  27. 19. A Combination of Two Methods in Frequency Analysis: The R(N)-Process
  28. 20. Zeros of Szegö Polynomials Used in Frequency Analysis
  29. 21. Some Probabilistic Remarks on the Boundary Version of Worpitzky’s Theorem