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Unit 31: Finite Dimensional Spectral Theory




                                                                                                Notes
          and                   x     x    A                                      … (2)
                                 n k
          we can find a  (y )  of (y ) s.t.
                              n
                       n k
                                y   x  =  y   x   x   x
                                 n k       n k  n k  n k

                                          y   x     x   x
                                           n k  n k  n k
                                          0 as n  .

                                           A  is compact.
          This completes the proof of the theorem.

          31.2 Summary

              If T is an arbitrary operator on a finite dimensional Hilbert space H, then the spectrum of
               T namely  (T) is a finite subset of the complex plane and the number of points in  (T) does
               not exceed the dimension n of H.

              Let T be bounded linear operator on a Hilbert space H. Then a scalar   is called an eigenvalue
               of T if there exists a non-zero vector x in H such that Tx =  x.
              The closed subspace M  is called the eigenspace of T corresponding to the eigenvalue  .

              The set of all eigenvalues of an operator is called the spectrum of T. It is denoted by  (T).
              The spectral resolution of the normal operator on a finite dimensional non-zero Hilbert
               space is unique.

              A subset A in a normed linear space N is said to be relatively compact if its closure  A  is
               compact.

          31.3 Keywords

          Eigenspace: The closed subspace M  is called the eigenspace of T corresponding to the eigenvalue .
          Eigenvalues: Let T be bounded linear operator on a Hilbert space H. Then a scalar   is called an
          eigenvalue of T if there exists a non-zero vector x in H such that Tx =  x.
          Eigenvalues are sometimes referred as characteristic values or proper values or spectral values.
          Eigenvectors: If   is an eigenvalue of T, then any non-zero vector x   H such Tx =  x, is called a
          eigenvector.
          Similar Matrices: Let A, B are square matrix of order n over the field of complex number. Then
          B is said to be similar to A if there exists a n × n non-singular matrix C over the field of complex
          numbers such that
                                            B = C  AC.
                                                –1
          Spectrum of an Operator: The set of all eigenvalues of an operator is called the spectrum of T and
          is denoted by  (T).
          Total Matrices Algebra: The set of all n × n matrices denoted by A  is complex algebra with
                                                                  n
          respect to addition, scalar multiplication and multiplication defined for matrices.
          This algebra is called the total matrices algebra of order n.




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