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Linear Algebra




                    Notes          If we multiply the second equation by i and add the result to the first equation, we obtain
                                                         2f( ,  ) = 2f( ,  ).
                                   Corollary: Let T be a linear operator on a complex finite-dimensional inner product space  V.
                                   Then T is self-adjoint if and only if (T | ) is real for every   in V.
                                   Theorem 4 (Principal Axis Theorem): For every Hermitian form f on a finite-dimensional inner
                                   product space V, there is an orthonormal basis of  V in which  f is represented by a diagonal
                                   matrix with real entries.
                                   Proof: Let T be the linear operator such that f( ,  ) = (T | ) for all   and   in V. Then, since
                                   f( ,  ) =  ( , )f   and  (T  | ) ( |T  ) , it follows that

                                                         (T | ) =  ( , ) ( |f  T  )
                                   for all   and  ; hence T = T*. By Theorem 5 of unit 24, there is an orthonormal basis of V which
                                   consists of characteristic vectors for T. Suppose { , ...,   } is an orthonormal basis and that
                                                                           1    n
                                                            T  = c
                                                              j   j  j
                                   for 1   j   n. Then
                                                         f( ,  ) = (T | ) =  c
                                                           k  j     k  j  kj k
                                   and by Theorem 2 of unit 24 each c  is real.
                                                               k
                                   Corollary: Under the above conditions

                                                ( f  x j  j ,  y k k ) =   c x y
                                                                    j j j
                                                  j     k         j
                                   Self Assessment

                                   1.  Which of the following functions f, defined on vectors   = (x , x ) and   (y , y ) = in c , are
                                                                                                           2
                                                                                        1  2       1  2
                                       sesquilinear forms on c 2
                                       (a)  f( ,  ) = (x  –  y )  + x y
                                                          2
                                                     1   1   2  2
                                       (b)  f( ,  ) = x y  –  x y
                                                      2   2 1
                                       (c)  f( ,  ) = x y
                                                    1  1
                                   2.  Let f be a non-degenerate form on a finite-dimensional space  V. Show that each linear
                                       operator S has an ‘adjoint’ relative to f’, i.e., an operator S’ such that f(S ,  ) = f( , S’ ) for
                                       all  ,  .


                                   27.3 Summary

                                      In the introduction a review of the last units 24, 25, 26 is done. It is stated that the ideas
                                       covered in these units are fundamental.

                                      In this unit forms on inner product space are studied and the relation between the forms
                                       and the linear operator is established.
                                      A sesquilinear form is introduced and explained for all  ,  ,   in the finite vector space V
                                       and its relation with the linear operators.
                                      When the basis   is an orthonormal basis, the matrix of the form f in   is also matrix of the
                                       linear transformation  T .
                                                          fi



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