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Linear Algebra




                    Notes          Therefore, A  = 0 for every j > 1. In particular, A  = 0, and since A is upper-triangular, it follows
                                             1j                          12
                                   that
                                                            T  = A   .
                                                              2   22  2
                                   Thus T*  =  A   and A  = 0 for all j   2. Continuing in this fashion, we find that A is diagonal.
                                          2    22  2   2j
                                   Theorem 12: Let V be a finite-dimensional  complex inner product space and let T be any linear
                                   operator on  V. Then there is an orthonormal basis for  V in which the  matrix of  T is upper
                                   triangular.

                                   Proof: Let n be the dimension of V. The theorem is true when n = 1, and we proceed by induction
                                   on n, assuming the result is true for linear operators on complex inner product spaces of dimension
                                   n – 1. Since V is a finite-dimensional complex inner product space, there is a unit vector   in V
                                   and a scalar c such that
                                                            T*  = c .
                                   Let W be the orthogonal complement of the subspace spanned by   and let S be the restriction of
                                   T to W. By Theorem 10, W is invariant under T. Thus S is a linear operator on W. Since W has
                                   dimension n – 1, our inductive assumption implies the existence of an orthonormal basis { , . .
                                                                                                            1
                                   .,   } for W in which the matrix of  S is upper-triangular; let    =  . Then { , . . .,   } is an
                                     n–1                                               n           1     n
                                   orthonormal basis of V in which the matrix of T is upper-triangular.
                                   This theorem implies the following result for matrices.
                                                                                                    –1
                                   Corollary: For every complex n   n matrix A there is unitary matrix U such that U AU is upper-
                                   triangular.
                                   Now combining Theorem 12 and Theorem 11, we immediately obtain the following analogue
                                   of Theorem 9 for normal operators.
                                   Theorem 13: Let V be a finite-dimensional complex inner product space and T a normal operator
                                   on V. Then V has an orthonormal basis consisting of characteristic vectors for T.
                                                                                           –1
                                   Also for every normal matrix A, there is a unitary matrix P such that P AP is a diagonal matrix.
                                   Self Assessment

                                   3.  For each of the following real symmetric matrices A, find a real orthogonal matrix P such
                                       that P AP is diagonal
                                            –1
                                                 1  1
                                       (i)  A =
                                                  1 1

                                                 4/3   2 /3
                                       (ii)  A =
                                                  2 /3 5/3

                                                 0 1
                                       (iii)  A =
                                                 1 0
                                   4.  Prove that T is normal if T = T  + i T , where T  and T  are self-adjoint operators which
                                                                 1    2       1     2
                                       commute.
                                   26.3 Summary


                                      In this unit we have studied unitary operators and normal operators.



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