Page 351 - Schaum's Outline of Theory and Problems of Advanced Calculus
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342                               FOURIER SERIES                          [CHAP. 13



                     Therefore,
                                                              n       n
                                                       1
                                                      X
                                                         b n sin  x cos    t
                                                              L        L
                                                   y ¼
                                                      n¼1
                     with the coefficients b n defined above.

                     ORTHOGONAL FUNCTIONS
                        Two vectors A and B are called orthogonal (perpendicular) if A   B ¼ 0or A 1 B 1 þ A 2 B 2 þ A 3 B 3 ¼ 0,
                     where A ¼ A 1 i þ A 2 j þ A 3 k and B ¼ B 1 i þ B 2 j þ B 3 k.  Although not geometrically or physically evi-
                     dent, these ideas can be generalized to include vectors with more than three components. In particular,
                     we can think of a function, say, AðxÞ,as being a vector with an infinity of components (i.e., an infinite
                     dimensional vector), the value of each component being specified by substituting a particular value of x in
                     some interval ða; bÞ.Itis natural in such case to define two functions, AðxÞ and BðxÞ,as orthogonal in
                     ða; bÞ if

                                                       ð b
                                                         AðxÞ BðxÞ dx ¼ 0                            ð9Þ
                                                       a
                                                                                                   2
                        A vector A is called a unit vector or normalized vector if its magnitude is unity, i.e., if A   A ¼ A ¼ 1.
                     Extending the concept, we say that the function AðxÞ is normal or normalized in ða; bÞ if
                                                        ð b
                                                              2
                                                         fAðxÞg dx ¼ 1                              ð10Þ
                                                        a
                        From the above it is clear that we can consider a set of functions f  k ðxÞg; k ¼ 1; 2; 3; ... ; having the
                     properties

                                                  ð b
                                                      m ðxÞ  n ðxÞ dx ¼ 0  m 6¼ n                   ð11Þ
                                                   a
                                                ð b
                                                       2
                                                 f  m ðxÞg dx ¼ 1  m ¼ 1; 2; 3; ...                 ð12Þ
                                                a
                        In such case, each member of the set is orthogonal to every other member of the set and is also
                     normalized.  We call such a set of functions an orthonormal set.
                        The equations (11) and (12) can be summarized by writing

                                                     ð b
                                                         m ðxÞ  n ðxÞ dx ¼   mn                     ð13Þ
                                                      a
                     where   mn , called Kronecker’s symbol,is defined as 0 if m 6¼ n and1if m ¼ n.
                        Just as any vector r in three dimensions can be expanded in a set of mutually orthogonal unit vectors
                     i; j; k in the form r ¼ c 1 i þ c 2 j þ c 3 k,sowe consider the possibility of expanding a function f ðxÞ in a set
                     of orthonormal functions, i.e.,

                                                       1
                                                      X
                                                                   a @ x @ b
                                                 f ðxÞ¼  c n   n ðxÞ                                ð14Þ
                                                       n¼1
                        As we have seen, Fourier series are constructed from orthogonal functions.  Generalizations of
                     Fourier series are of great interest and utility both from theoretical and applied viewpoints.
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