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Unit 29: Spectral Theory and Properties of Normal Operators




          if T  = c I. When this is not the case, T  is invertible and maps Z  into and hence onto Z . Thus  Notes
             j  j                        j                    j                  j
          T  1 (Z  ) Z  and since
                    ,
            j  j   j
                                              2
                                    T j * =  a  2 j  b T j  1
                                              j
          it follows that T*(Z ) is contained in Z , for every j.
                         j              j
          Suppose T is a  normal operator on a finite-dimensional inner  product space  V. Let W  be a
          subspace invariant under T. Then the preceding corollary shows that W is invariant under T*.
          From this it follows that W  is invariant under T** = T (and hence under T* as well). Using this
          fact one can easily prove the following strengthened version of the cyclic decomposition theorem.
          Theorem 12: Let T be a normal linear operator on a finite-dimensional inner product space  V
          (dim V   1). Then there exist r non-zero vectors  , …,   in V with respective T-annihilators e ,
                                                  1    r                             1
          …, e  such that
              r
          (i)  V = Z ( ; T)   …   Z( ; T);
                      1           r
          (ii)  if 1   k   r – 1, then e  divides e ;
                               k+1       k
          (iii)  Z( ; T) is orthogonal to Z( ; T) when j  k. Furthermore, the integer r and the annihilators
                  j                  k
               e , …, e  are uniquely determined by conditions (i) and (ii) and the fact that no    is 0.
                1    r                                                         k
          Corollary: If A is a normal matrix with real (complex) entries, then there is a real orthogonal
          (unitary) matrix P such that P AP is in rational canonical form.
                                  –1
          It follows that two normal matrices A and B are unitarily equivalent if and only if they have the
          same rational form; A and B are orthogonally equivalent if they have real entries and the same
          rational form.
          On the other hand, there is a simpler criterion for the unitary equivalence of normal matrices
          and normal operators.
          Definition: Let V and V  be inner product spaces over the same field. A linear transformation
                                  U : V   V

          is called a unitary transformation if it maps V onto V  and preserves inner products. If T is a
          linear operator on V and T  a linear operator on V , then T is unitarily equivalent to T  if there
          exists a unitary transformation U of V onto V  such that
                                 UTU –1  = T .
          Lemma: Let V and V  be finite-dimensional inner product spaces over the same field. Suppose T
          is a linear operator on V and that T  is a linear operator on V . Then T is unitarily equivalent to
          T  if and only  if there is an orthonormal basis  of V and an orthonormal basis   of V  such that
                                   [T] = [T ] .
                                          
                                                                           –1
          Proof: Suppose there is a unitary transformation U of V onto V  such that UTU  = T . Let  =
          { , …,  } be any (ordered) orthonormal basis for V. Let    = U  (1   j   n). Then   = {  , …,   }
            1    n                                      j    j                  1    n
          is an orthonormal basis for V  and setting
                                          n
                                    T  =    A
                                      j      kj  k
                                         k  1
          we see that
                                   T   = UT
                                      j     j




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