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Unit 26: Unitary Operators and Normal Operators




          Let GL(n) denote the set of all invertible complex n × n matrices. Then GL(n) is also a group  Notes
          under  matrix  multiplication. This group  is called the  general  linear  group.  Theorem  5  is
          equivalent to the following result.
                                                                              +
          Corollary: For each B in GL(n) there exist unique matrices N and U such that N is in T (n), U is in
          U(n), and
                                     B = N  .  U.
          Proof: By the theorem there is a unique matrix M in T (n) such that MB is in U(n). Let MB = U and
                                                    +
                            +
               –1
          N = M . Then N is in T (n) and B = N  .  U. On the other hand, if we are given any elements N and
          U such that N is in T (n), U is in U(n), and B = N  .  U, then N B is in U(n) and N  is the unique
                                                           –1
                                                                          –1
                           +
          matrix M which is characterized by the theorem; furthermore U is necessarily N B.
                                                                           –1
                                                              2
                 Example 7: Let x  and x  be real numbers such that  x 2  x  = 1 and x    0. Let
                              1    2                       1  2        1
                                          x x  0
                                           1  2
                                     B =  0 1 0 .
                                          0 0 1
          Applying the Gram-Schmidt process to the rows of B, we obtain the vectors
                                       = (x , x , 0)
                                      1   1  2
                                       = (0, 1, 0) – x  (x , x , 0)
                                      2          2  1  2
                                       = x  (– x , x , 0)
                                         1   2  1
                                       = (0, 0, 1).
                                      3
          Let U be the matrix with rows  , ( /x ),  . Then U is unitary, and
                                    1  2  1  3
                                                      1   0 0
                                           x 1  x 2  0  x  1   x x 2  0
                                                                1
                                     U =   x 2  x 1  0  2   0   0 1 0
                                           0  0 1     x 1  x 1  0 0 1
                                                      0   0 1

          Now multiplying by the inverse of

                                           1   0 0
                                           x  2  1
                                    M =          0
                                           x 1  x 1
                                           0   0 1

          we find that

                               x x 2  0   1 0 0   x  1  x 2  0
                                1
                               0 1 0   =  x x 1  0  x  2  x 1  0
                                           2
                               0 0 1      0 0 1    0  0 1
          Let us now consider briefly change of coordinates in an inner product space. Suppose  V is a
          finite-dimensional inner product space and that   = { , …,   } and   = {  ,, …,   } are two
                                                       1    n           1     n
          ordered orthonormal bases for V. There is a unique (necessarily invertible) n × n matrix P such
          that

                                   [ ] = P [ ]
                                          –1



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