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Unit 7: Algebra of Linear Transformation




          We now show that                                                                      Notes
                          
                  (     b  )H  (a  ) H  ( . )H                               ...(3)
                                         b
                                           
          clearly equation 1 follows from equation (3) by selecting a = 1 = b and equation (2) follows by
          choosing b = 0.
          7.2 Linear Transformation

          Condition (3) is the requirement of linearly and since homomorphism is a mapping we call a
          homomorphism a linear transformation.
          Thus a linear transformation T from a vector space V to a vector space W, both over the same
          field is a mapping of V onto W such that for all  ,     V and for all a, b,   F,
                                                       ( T
                                      (a  b )T  ( a  Τ ) b   )

                 Example  1:  Identity  transformation.  If  V  is  any  vector  space,  then  the  identity
          transformation I defined by I  =  , is linear transformation from V into V.
          The zero transformation 0, defined by 0  = 0, is a linear transformation from V into V.


                 Example 2: If V be the space of polynomial function f from the field F into F, given by
                  f  ( ) C 0  C x C x 2  ...... C x  n
                   x
                                2
                                          n
                            1
          Let     Df  ( ) C  1  2C x  3C x 2  ... nC x  n  1
                     x
                                             n
                                   3
                              2
          Then D is a linear transformation from V into V the differentiation transformation.
                 Example 3: In two dimension space V , the transformation
                                               2
                 (x, y)T= (x cos   – y sin  , x sin   + y cos  ) is a linear transformation
                 Example 4: In the space V  represented geometrically by the plane the transformation
                                      2
                 (x, y)T = (ax, by)

                 Example 5: Let R be the field of real numbers and let V be the space of all functions from
          into R which are continuous. Define T by
                          x
                              dt
                      x
                  (Tf  )( )  f  ( ) .
                             t
                          0
          Then T is a linear transformation from V into V. The function Tf is not only continuous but has
          a continuous first derivative. The linearity of integration is one of its fundamental properties.
                 Example 6: Let A being a fixed m   n matrix with entries in the field F. The function T
          defined by T(X) = AX is a linear transformation from F n × 1  into F m × 1 . The function U defined by
                                             m
                                                    n
          U( ) =  A is a linear transformation from F  into F .
                 Example 7: Let P be a fixed m   m matrix with entries in the field F and let Q be a fixed
          n   m matrix over F. Define a function T from the space F m   n   into itself by T= PAQ.




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