Page 536 - Advanced_Engineering_Mathematics o'neil
P. 536

516    CHAPTER 15  Special Functions and Eigenfunction Expansions

                                                                   f · ϕ n  f · ϕ n
                                                              c n =     =      .
                                                                  ϕ n · ϕ n    ϕ n   2
                                    We will use some facts from linear algebra to derive an important property of these
                                 coefficients. Suppose we write a linear combination

                                                                   N

                                                                     k n ϕ n (x),
                                                                  n=1
                                                                                                 N
                                 with the k n ’s any numbers. We ask: how should we choose the k n ’s so that  n=1 k n ϕ n (x) best
                                 approximates f (x) for a < x < b? This question is well posed because we have a notion of
                                 distance between functions. The problem is to choose the k n ’s to minimize the distance between
                                           N
                                 f (x) and   k n ϕ n (x):
                                           n=1

                                                                     N



                                                                 f −   k n ϕ n (x) .

                                                                    n=1
                                 We know the answer to this question if we think in the context of orthogonal projections in
                                 a vector space. Let PC[a,b] be the vector space of piecewise continuous functions defined on
                                 [a,b]. This is a vector space because sums and scalar multiples of piecewise continuous functions
                                 are also piecewise continuous, and the zero function is piecewise continuous. The eigenfunctions
                                                             ϕ 1 (x),ϕ 2 (x),··· ,ϕ N (x)
                                 span a subspace S of PC[a,b], and in fact form an orthogonal basis for this subspace. The
                                 linear combination of these eigenfunctions having minimum distance from f is the orthogo-
                                 nal projection f S of f onto this subspace, and we know from Sections 6.6 and 6.7 that this
                                 projection is
                                                                    N
                                                                       f · ϕ n

                                                             f S (x) =      ϕ n (x).
                                                                       ϕ n · ϕ n
                                                                    n=1
                                 This is exactly the Nth partial sum of the eigenfunction expansion of f .
                                    We may therefore think of the coefficients in the eigenfunction expansion of f as those
                                 for which the Nth partial sum of the expansion is the best approximation to f (x) as a linear
                                 combinations of the first N eigenfunctions.
                                    There is also a Bessel inequality and a Parseval theorem for general eigenfunction expansion
                                 coefficients. First, let
                                                                        ϕ n
                                                                    n =    ,
                                                                         ϕ n
                                 which we can also write as
                                                                        ϕ n
                                                                   n = √    .
                                                                       ϕ n · ϕ n
                                 This divides each eigenfunction by its length, resulting in an eigenfunction of length 1:
                                                                   2
                                                                  n   =   n ·   n = 1.
                                 We say that the eigenfunctions have been normalized. Since nonzero constant multiples
                                 of eigenfunctions are eigenfunctions, we can expand f (x) in a series of these normalized
                                 eigenfunctions
                                                                  ∞

                                                                     c n   n (x),
                                                                  n=1



                      Copyright 2010 Cengage Learning. All Rights Reserved. May not be copied, scanned, or duplicated, in whole or in part. Due to electronic rights, some third party content may be suppressed from the eBook and/or eChapter(s).
                      Editorial review has deemed that any suppressed content does not materially affect the overall learning experience. Cengage Learning reserves the right to remove additional content at any time if subsequent rights restrictions require it.

                                   October 14, 2010  15:20  THM/NEIL   Page-516        27410_15_ch15_p505-562
   531   532   533   534   535   536   537   538   539   540   541