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6.7 The Function Space C[a,b]  183



                                 EXAMPLE 6.22
                                        Let n and m be positive integers, and let S n (x) = sin(nx) and C m (x) = cos(mx). These functions
                                        are in C[−π,π].Let p(x) = 1 to use the dot product
                                                                             π
                                                                     f · g =  f (x)g(x)dx
                                                                           −π
                                        in C[−π,π]. With respect to this dot product, S n (x) and C m (x) are orthogonal, because their dot
                                        product is
                                                                         π

                                                               S n · C m =  sin(nx)cos(mx)dx = 0,
                                                                        −π
                                        by a routine integration. This type of orthogonality of functions will form the basis for Fourier
                                        series in Chapter 13, and for more general eigenfunction expansions in Chapter 15.

                                           Theorems 6.6, 6.7, and 6.8 and their proofs, while stated for vectors in R , depend only on
                                                                                                      n
                                        the vector space structure in which they were stated, and are valid in C[a,b] as well. Here is an
                                        application of Theorem 6.8.


                                 EXAMPLE 6.23
                                        Suppose we want to approximate f (x) = x(π − x) on [0,π], using a sum of the form
                                                           c 1 sin(x) + c 2 sin(2x) + c 3 sin(3x) + c 4 sin(4x).
                                        The term “approximate” has meaning only in the context of some measure of distance, since we
                                        generally call one object a good approximation to another when the objects are close together in
                                        some sense. The necessary structure is available to us if we work in the function space C[0,π],
                                        which contains f (x) and the functions sin(nx). Using the integral dot product with p(x)=1, the
                                        distance between two functions in C[0,π] is

                                                                                       π

                                                                                                   2
                                                        F − G  =  (F − G) · (F − G) =  (F(x) − G(x)) dx.
                                                                                     0
                                        To make use of Theorem 6.8, let S be the four-dimensional subspace of C[0,π] spanned by
                                        sin(x),sin(2x),sin(3x) and sin(4x). Then S consists of exactly the linear combinations
                                                            c 1 sin(x) + c 2 sin(2x) + c 3 sin(3x) + c 4 sin(4x)
                                        that we want to use to approximate f (x). f is not in S. By Theorem 6.8, the object in S closest
                                        to f is the orthogonal projection f S of f onto S.Thisis
                                                               f · sin(x)      f · sin(2x)
                                                          f S =        sin(x) +         sin(2x)
                                                                sin(x)   2      sin(2x)   2
                                                                 f · sin(3x)       f · sin(4x)
                                                              +           sin(3x) +         sin(4x).
                                                                  sin(3x)   2       sin(4x)   2
                                        All that remains is to compute these coefficients. First, for n = 1,2,3,4,
                                                                              π           π
                                                                         2       2
                                                                  sin(nx)   =  sin (nx)dx =  .
                                                                                          2
                                                                            0
                                        Furthermore,
                                                                                         2(1 − (−1) )
                                                                      π                           n
                                                         f · sin(nx) =  x(π − x)sin(nx)dx =         .
                                                                                             n 3
                                                                    0

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                                   October 14, 2010  14:21  THM/NEIL   Page-183        27410_06_ch06_p145-186
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