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Linear Algebra




                    Notes          preserve f, the product ST also preserves f; for f(ST , ST ) = f(T , T ) = f( ,  ). In other words the
                                   collection of linear operators which preserve f, is closed under the formation of operator products.
                                   Consider a bilinear form given by

                                                                   n
                                                               =     a x y
                                                                      ij i j
                                                                  , i j  1
                                   If we introduce

                                                                  x 1     y 1
                                                                  x 2     y 2
                                                             X =     , Y
                                                                         
                                                                  x       y
                                                                   n       n
                                   then

                                                                  t
                                                              B = X AY
                                   where n rowed square matrix A is
                                                             A = [a ]
                                                                  ij
                                   In case Y = X then we have a quadratic form

                                                                  n  n
                                                             Q =      a x x
                                                                       ij i j
                                                                 i  1 j  1
                                   In matrix form

                                                             Q = X AX
                                                                  T
                                   We now consider certain transformation operator P such that
                                                             X = PX’
                                   where P is non-singular (or invertible), then

                                                                     t
                                                                         t
                                                              t
                                                             X = (PX’)  = X’ P t
                                   So
                                                                   t
                                                                    t
                                                             Q = X’ P APX’
                                   Defining
                                                                  t
                                                             A’ = P AP
                                   We have
                                                                   t
                                                             Q = X’ A’X’
                                   If A is symmetric then
                                                                               t
                                                                   t
                                                                      t
                                                                           t
                                                                         t
                                                            A ’ = (P AP)  = P A P = P AP = A’
                                                              t
                                   Thus symmetry of the matrix is maintained. Now if Q represents the length of the vector (x , x ,
                                                                                                            1  2
                                   ... x ) then preservation of length means;
                                     n
                                                                  t
                                                                           t
                                                            X X = X ’P PX’ = X ’X’, if
                                                                    t
                                                             t
                                                             t
                                                            PP = I
                                   which means that P is an orthogonal matrix.
                                   One of the examples of the orthogonal transformation the rotation of co-ordinate system.
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