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Unit 11: The Double Dual




               (b)  Show that the dual  space  W* of W can be ‘naturally’ identified  with the  linear  Notes
                    functionals

                    f x 1  ,...,x n  c x 1  ... c x n
                                      n
                               1
                       n
                    on F which satisfy c 1  ... c  n  0.
          2.   Use Theorem 4 to prove the following. If W is a subspace of a finite-dimensional vector
               space V and if  g  ,...,g  is any basis for W°, then
                             1   r
                                                 r
                                            W     N  .
                                                i  1  g
          11.2 The Transpose of a Linear Transformation

          Suppose that we have two vector spaces over the field F, V and W, and a linear transformation T
          from V into W. Then T induces a linear transformation from W* into V*, as follows. Suppose g is
          a linear functional on W, and let
                  f    g T                                                        ...(11)

          for each  in V. Then (11) defines a function  f from V into F, namely the composition of T, a
          function from V into W, with g, a function from W into F. Since both T and g are linear, Theorem
          5 of unit 7 tells us that f is also linear, i.e., f is a linear functional on V. Thus T provides us with a
               t
                                                                          t
          rule T which associates with each linear functional g on W a linear functional f = T g on V, defined
          by (11). Note also that T  is actually a linear transformation from W* into V*; for, if g  and g are
                             t
                                                                              1    2
          in W* and c is a scalar
            t
           T cg 1  g 2     cg 1  g 2  T
                          cg T    g T
                                   2
                            1
                                      t
                             t
                          c T g 1   T g 2                                         ...(12)
                 t
                                 t
                            t
                                    .
          so that T cg  g  cT g  T g 2 Let us summarize.
                    1  2      1
          Theorem 5: Let V and W be vector spaces over the field F. For each linear transformation T from
                                                   t
          V into W, there is a unique linear transformation T  from W* into V* such that
                          t
                         T g     g T                                              ...(13)
          for every g in W* and   in V.
                                                      t
          We shall call T  the transpose of T. This transformation T is often called the adjoint of T; however,
                      t
          we shall not use this terminology.
          Theorem 6: Let V and W be vector spaces over the field F, and let T be a linear transformation
          from V into W. The null space of T is the annihilator of the range of T. If V and W are finite-
                                       t
          dimensional, then
                    t
          (i)  rank T = rank (T)
                          t
          (ii)  the range of T is the annihilator of the null space T.            ...(14)



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