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Unit 29: Spectral Theory and Properties of Normal Operators




                                          r   k                                                 Notes
                                                 n
                                       =     n  c E j
                                                 j
                                         n  0  j  1
                                          k  r
                                                 c
                                       =        n j n  E j
                                         j  1 n  0
                                          r
                                             c
                                       =   f  ( )E j
                                              j
                                         j  1
          Since e (c ) =   , it follows that e (T) = E .
               j  m  jm             j     j
          Because E ,. ., E  are canonically associated with T and
                  1   k
                                      I = E  + ... + E
                                          1     k
          the family of projections (E , ..., E ) is called the resolution of the identity defined by T.
                                1    k
          There is a comment that should be made about the proof of the spectral theorem. We derived the
          theorem using Theorems 9 and 13 of  unit 26 on the diagonalization of self-adjoint and normal
          operators. There is another, more algebraic, proof  in which it must first be  shown that  the
          minimal polynomial  of a normal operator is a product of distinct prime factors. Then  one
          proceeds as in the proof of the primary decomposition theorem (Theorem 1) unit 18.
          In various applications it is necessary to know whether one may compute certain functions of
          operators  or matrices, e.g., square roots. This may be done rather simply for diagonalizable
          normal operators.
          Definition: Let T be a diagonalizable normal operator  on a finite-dimensional inner product
          space and
                                          k
                                     T =    c E
                                             j j
                                         j  1
          its spectral resolution. Suppose f is a function whose domain includes the spectrum of T that has
          values in the field of scalars. Then the linear operator f(T) is defined by the equation

                                          k
                                               E
                                             c
                                   f(T) =   f ( ) .                                ...(2)
                                                j
                                              j
                                         j  1
          Theorem 2: Let T be a diagonalizable normal operator with spectrum S on a finite-dimensional
          inner product space V. Suppose f is a function whose domain contains S that has values in the
          field of scalars. Then f(T) is a diagonalizable normal operator with spectrum f(S). If U is a unitary
                                    –1
          map of V onto V' and T' = UTU , then S is the spectrum of T' and
                                   f(T) = Uf(T)U .
                                              –1
          Proof: The normality of f(T) follows by a simple computation from (2) and the fact that
                                             c
                                   f(T)* =   f ( )E j
                                              j
                                          j
          Moreover, it is clear that for every   in E (V)
                                           j
                                  f(T)  = f(c ) .
                                          j
          Thus, the set f(S) of all f(c) with c in S is contained in the spectrum of f(T). Conversely, suppose
              0 and that
                                  f(T)  = b .



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