Generalized Fourier series

Summary

In mathematics, a generalized Fourier series is a method of expanding a square-integrable function defined on an interval of the real line. The constituent functions of the series expansion form an orthonormal basis of an inner product space. While a Fourier series expansion consists only of trigonometric functions, a generalized Fourier series is a decomposition involving any set of functions satisfying a Sturm-Liouville eigenvalue problem. These expansions find common use in interpolation theory.[1]

Definition edit

Consider a set of square-integrable functions with values in   or  ,

 
which are pairwise orthogonal under the inner product
 
where   is a weight function, and   represents complex conjugation, i.e.,   for  .

The generalized Fourier series of a square-integrable function  , with respect to Φ, is then

 
where the coefficients are given by
 

If Φ is a complete set, i.e., an orthogonal basis of the space of all square-integrable functions on [a, b], as opposed to a smaller orthogonal set, the relation   becomes equality in the L2 sense, more precisely modulo   (not necessarily pointwise, nor almost everywhere).

Example (Fourier–Legendre series) edit

The Legendre polynomials are solutions to the Sturm–Liouville problem

 

As a consequence of Sturm-Liouville theory, these polynomials are orthogonal eigenfunctions with respect to the inner product above with unit weight. So we can form a generalized Fourier series (known as a Fourier–Legendre series) involving the Legendre polynomials, and

 
 

As an example, calculating the Fourier–Legendre series for   over  . Now,

 

and a series involving these terms

 

which differs from   by approximately 0.003. It may be advantageous to use such Fourier–Legendre series since the eigenfunctions are all polynomials and hence the integrals and thus the coefficients are easier to calculate.

Coefficient theorems edit

Some theorems on the coefficients cn include:

Bessel's inequality edit

 

Parseval's theorem edit

If Φ is a complete set, then

 

See also edit

References edit

  1. ^ Howell, Kenneth B. (2001-05-18). Principles of Fourier Analysis. Boca Raton: CRC Press. doi:10.1201/9781420036909. ISBN 978-0-429-12941-4.
  • https://mathworld.wolfram.com/GeneralizedFourierSeries.html