chebyshev_polynomial

chebyshev_polynomial, a MATLAB code which considers the Chebyshev polynomials T(i,x), U(i,x), V(i,x) and W(i,x). Functions are provided to evaluate the polynomials, determine their zeros, produce their polynomial coefficients, produce related quadrature rules, project other functions onto these polynomial bases, and integrate double and triple products of the polynomials.

The Chebyshev polynomial T(n,x), or Chebyshev polynomial of the first kind, may be defined, for 0 <= n, and -1 <= x <= +1 by: 

        cos ( t ) = x
        T(n,x) = cos ( n * t )
For any value of x, T(n,x) may be evaluated by a three term recurrence: 
        T(0,x) = 1
        T(1,x) = x
        T(n+1,x) = 2x T(n,x) - T(n-1,x)

The Chebyshev polynomial U(n,x), or Chebyshev polynomial of the second kind, may be defined, for 0 <= n, and -1 <= x <= +1 by: 

        cos ( t ) = x
        U(n,x) = sin ( ( n + 1 ) t ) / sin ( t )
For any value of x, U(n,x) may be evaluated by a three term recurrence: 
        U(0,x) = 1
        U(1,x) = 2x
        U(n+1,x) = 2x U(n,x) - U(n-1,x)

The Chebyshev polynomial V(n,x), or Chebyshev polynomial of the third kind, may be defined, for 0 <= n, and -1 <= x <= +1 by: 

        cos ( t ) = x
        V(n,x) = cos ( (2n+1)*t/2) / cos ( t/2)
For any value of x, V(n,x) may be evaluated by a three term recurrence: 
        V(0,x) = 1
        V(1,x) = 2x-1
        V(n+1,x) = 2x V(n,x) - V(n-1,x)

The Chebyshev polynomial W(n,x), or Chebyshev polynomial of the fourth kind, may be defined, for 0 <= n, and -1 <= x <= +1 by: 

        cos ( t ) = x
        W(n,x) = sin((2*n+1)*t/2)/sin(t/2)
For any value of x, W(n,x) may be evaluated by a three term recurrence: 
        W(0,x) = 1
        W(1,x) = 2x+1
        W(n+1,x) = 2x W(n,x) - W(n-1,x)

Licensing:

The computer code and data files described and made available on this web page are distributed under the MIT license

Languages:

chebyshev_polynomial is available in a C version and a C++ version and a FORTRAN90 version and a MATLAB version and a Python version.

Related Data and Programs:

bernstein_polynomial, a MATLAB code which evaluates the Bernstein polynomials, useful for uniform approximation of functions;

chebyshev, a MATLAB code which computes the Chebyshev interpolant/approximant to a given function over an interval.

chebyshev_polynomial_test

chebyshev_series, a MATLAB code which can evaluate a chebyshev series approximating a function f(x), while efficiently computing one, two or three derivatives of the series, which approximate f'(x), f''(x), and f'''(x), by manfred zimmer.

chebyshev1_rule, a MATLAB code which computes and prints a gauss-chebyshev type 1 quadrature rule.

chebyshev2_rule, a MATLAB code which compute and print a gauss-chebyshev type 2 quadrature rule.

gegenbauer_polynomial, a MATLAB code which evaluates the gegenbauer polynomial and associated functions.

hermite_polynomial, a MATLAB code which evaluates the physicist's hermite polynomial, the probabilist's hermite polynomial, the hermite function, and related functions.

jacobi_polynomial, a MATLAB code which evaluates the jacobi polynomial and associated functions.

laguerre_polynomial, a MATLAB code which evaluates the laguerre polynomial, the generalized laguerre polynomial, and the laguerre function.

legendre_polynomial, a MATLAB code which evaluates the legendre polynomial and associated functions.

lobatto_polynomial, a MATLAB code which evaluates lobatto polynomials, similar to legendre polynomials except that they are zero at both endpoints.

polpak, a MATLAB code which evaluates a variety of mathematical functions.

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Reference:

  1. Theodore Chihara,
    An Introduction to Orthogonal Polynomials,
    Gordon and Breach, 1978,
    ISBN: 0677041500,
    LC: QA404.5 C44.
  2. Walter Gautschi,
    Orthogonal Polynomials: Computation and Approximation,
    Oxford, 2004,
    ISBN: 0-19-850672-4,
    LC: QA404.5 G3555.
  3. John Mason, David Handscomb,
    Chebyshev Polynomials,
    CRC Press, 2002,
    ISBN: 0-8493-035509,
    LC: QA404.5.M37.
  4. Frank Olver, Daniel Lozier, Ronald Boisvert, Charles Clark,
    NIST Handbook of Mathematical Functions,
    Cambridge University Press, 2010,
    ISBN: 978-0521192255,
    LC: QA331.N57.
  5. Gabor Szego,
    Orthogonal Polynomials,
    American Mathematical Society, 1992,
    ISBN: 0821810235,
    LC: QA3.A5.v23.

Source Code:

Last revised on 12 January 2021.