Page 337 - DMTH505_MEASURE_THEOREY_AND_FUNCTIONAL_ANALYSIS
P. 337

Measure Theory and Functional Analysis




                    Notes          31.1 Finite Dimensional Spectral Theory


                                   31.1.1 Linear Operators and Matrices on a Finite Dimensional Hilbert
                                          Space

                                   Let H be the given Hilbert space of dimension n with ordered basis B = {e , e , …, e } where the
                                                                                              1  2   n
                                   ordered of the vector is taken into consideration.  Let T   (H) (the set of all bounded linear
                                   operators). Since each vector in H is uniquely expressed as linear combination of the basis, we
                                                      n
                                   can express Te  as Te =   e , where the n-scalars   ,   , …    are uniquely determined by Te .
                                              j    j     ij i                1j  2j  nj                       j
                                                      i 1
                                                                                                         2
                                   Then vectors Te , Te , …, Te determine uniquely the n  scalars  , i, j = 1, 2, … n. These n  scalars
                                                                              2
                                               1   2     j                           ij
                                                                                                   th
                                                                         th
                                   determine matrix with (  ,   , …,   ) as the i  row and (  ,   , …   ) as its j  column. We
                                                       i1  i2   in                  1j  2j  nj
                                   denote this matrix by {T} and call this matrix as the matrix of the operator T with respect to the
                                   ordered basis B.
                                                        
                                                   11  12  1n
                                                        
                                   Hence  = [ ] =   21  22  2n
                                             ij   
                                                        
                                                  n1  n2    nn
                                   We note that
                                   (i)  [0] = 0, which is the zero matrix.
                                   (ii)  [I] = I = [ ], which is a unit matrix of order n. Here   is the Kronecker delta.
                                               ij                                 ij
                                   Definition: The  set of all n  × n matrices denoted  by A   is complex  algebra with respect to
                                                                                 n
                                   addition, scalar multiplication and multiplication defined for matrices.
                                   This algebra is called the total matrices algebra of order n.
                                   Theorem 1: Let B be an ordered basis for a Hilbert space of dimension n. Let T    (H) with (T)  =
                                                                                          –1
                                                                                     –1
                                   [ ], then T is singular   [ ] is non-singular and we have [  ]  = [T ].
                                    ij                   ij                         ij
                                                                             –1
                                   Proof: T is non-singular iff there exists an operator T  on H such that
                                                            –1
                                                                    –1
                                                           T  T = T T  = I                                 … (1)
                                                                                  –1
                                   Since there is one-to-one correspondence between T and [T ],
                                                       –1
                                               –1
                                   (1) is true   [T  T] = [TT ] = [I]
                                           –1
                                                      –1
                                   from (2) [T ] [T] = [T] [T ] = [I] = [ ]
                                                               ij
                                                      –1
                                          –1
                                   so that [T ] [ ] = [ ] [T ] = [ ], [T] = [ ].
                                              ij  ij       ij      ij
                                                             –1
                                                                  –1
                                     [ ] is a non-singular and [ ]  = [T ].
                                       ij                   ij
                                   This completes the proof of the theorem.
                                   31.1.2 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

          330                               LOVELY PROFESSIONAL UNIVERSITY
   332   333   334   335   336   337   338   339   340   341   342