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Unit 9: Representation of Transformations by Matrices




                  Dg  2g                                                                        Notes
                    3   2
                  Dg  3 .
                       g
                    4   3
          This example illustrates a good point. If one knows the matrix of a linear operator in some
          ordered basis  and wishes to find the matrix in another ordered basis  ',   it is  often  most
          convenient to perform the coordinate change using the invertible matrix P; however, it may be
          a much simpler task to find the representing matrix by a direct appeal to its definition.
          Definition: Let A and B be n×n (square) matrices over the field F. We say that B is similar to A
                                                                -1
          over F if there is an invertible n×n matrix P over F such that     P AP .
          According to Theorem 4, we have the following: If V is an n-dimensional vector space over F and
           and  '   are  two  ordered  bases for  V   then  for  each  linear  operator  T  on  V  the  matrix
                
                                           i
          B = T  is similar to the matrix A =  T  .  The argument also goes in the other direction. Suppose
                '                       ' 
          A and B are n×n matrices and that B is similar to A. Let V be any n-dimensional space over F and
          let be an ordered basis for V. Let T be the linear operator on V which is represented in the basis
                        -1
           by A. If      P AP let  ' be the ordered basis for V obtained from   by P, i.e.
                            ,
                      n
                   '    P  .
                   j     ij  i
                      i  1
          Then the matrix of T in the ordered basis  ' will be B.
          Thus the statement that B is similar to A means that on each n-dimensional space over F the
          matrices A and B represent the same linear transformation in two (possibly) different ordered
          basis.
          Note that each n×n matrix A is similar to itself, using P = I; if B is similar to A, then A is similar
                                              1
                     –1
          to B, for B = P AP implies that  A  P  1  1 BP ; if B is similar to A and C is similar to B, then C is
                                         –1
                                                              –1
                             –1
          similar to A, for B = P AP and C = Q BQ imply that C = (PQ) A(PQ). Thus, similarity is an
          equivalence relation on the set of n×n matrices over the field F. Also note that the only matrix
          similar to the identity matrix I is I itself, and that the only matrix similar to the zero matrix is the
          zero matrix itself.
          Self Assessment

          3.   Let T be the linear transformation on R  defined by
                                               3
               T x 1 ,x x 3  3x 1  x 3 , 2x  1  x 2  , x 1  2x 2  4x  3
                     ,
                     2
                                                                   3
               (i)  What is the matrix of T in the standard ordered basis for R ?
               (ii)  What is the matrix of T in the ordered basis   1 ,  2 ,  3 where


                        1,0,1 ,    1,2,1 and   2,1,1
                     1         2            3
                                                 3
                                                       2
          4.   Let T be the linear transformation from R  into R  defined by
                     ,
               T x 1 ,x x  3  x  1  x 2  ,2x  3  – x 1
                    2
                                                                               2
                                             3
               If B is the standard ordered basis for R  and  ' is the standard ordered basis for R , what is
               the matrix of T relative to the pair  , '?

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