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Unit 27: Introduction and Forms on Inner Product Spaces




          27.2 Forms on Inner Product Spaces                                                    Notes

          If T is a linear operator on a finite-dimensional inner product space V the function f defined on
          V  × V by

                                 f( ,  ) = (T | )
          may be regarded as a kind of substitute of T. Many questions about T are equivalent to questions
          concerning f. In fact, it is easy to see that f determines T. For if   = { , ...,  } is an orthonormal
                                                                 1    n
          basis for V, then the entries of the matrix of T in   are given by
                                    A = f( ,  )
                                     jk    k  j
          It is important to understand why f determines T from a more abstract point of view. The crucial
          properties of f are described in the following definition.
          Definition: A (sesquilinear) form on a real or complex vector space V is a function f on V   V with
          values in the field of scalars such that
          (a)  f(c  +  ,  ) = cf( ,  ) + f( ,  )
          (b)  f(  + c ,  ) =  c f( ,  ) + f( ,  )
          for all  ,  ,    in V and all scalars c.

          Thus, a sesquilinear form is a function on V   V such that f( ,  ) is a linear function of   for fixed
            and a conjugate-linear function of   for fixed  . In the real case, f( ,  ) is linear as a function of
          each argument; in other words, f is a bilinear form. In the complex case, the sesquilinear form f
          is not bilinear unless f = 0. In the remainder of this chapter, we shall omit the adjective ‘sesquilinear’
          unless it seems important to include it.
          If f and g are forms on V and c is a scalar, it is easy to check that cf + g is also a form. From this it
          follows that any linear combination of forms on V is again a form. Thus the set of all forms on
          V is a subspace of the vector space of all scalar-valued functions on V   V.
          Theorem 1: Let V be a finite-dimensional inner product space and f a form on V. Then there is a
          unique linear operator T on V such that
                                 f( ,  ) = (T | )
          for all  ,  , in  V and the map f    T is an isomorphism of the space of forms onto L(V, V).
          Proof: Fix a vector   in V. Then a   f( ,  ) is a linear function on V. By theorem 6 in unit 26 there
          is a unique vector   in V such that f( ,  ) = ( | ) for every  . We define a function U from V into
          V by setting U  =  . Then
                              f( |c  +  ) = ( |U(c  +  ))
                                       =  cf  ( , )  f  ( , )

                                       =  ( |c  U  ) ( |U  )
                                       = ( |c U  U  )

          for all  ,  ,   in V and all scalars c. Thus U is a linear operator on V and T = U* is an operator such
          that f( ,  ) = (T | ) for all   and  . If we also have f( ,  ) = (T’ | ), then
                            (T  – T’ | ) = 0

          for all   and  ; so T  = T’   for all  . Thus for each form f there is a unique linear operator T  such
                                                                                  f
          that
                                 f( ,  ) = (T | )
                                          j


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