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Unit 30: Bilinear Forms and Symmetric Bilinear Forms




          Self Assessment                                                                       Notes

                                                                                  2
          1.   Which of the following functions f, defined on vectors   = (x , x ) and  (y , y ) in R , are
                                                                1  2       1  2
               bilinear forms?
               (a)  f( ,  ) = (x  – y )  + x y
                                2
                            1  I    2 2
               (b)  f( ,  ) = (x  + y )  + (x  – y ) 2
                                2
                            1   I    1  1
               (c)  f( ,  ) = x y  – x y
                            1 2  2 1
          2.   Let f be any bilinear form on a finite-dimensional space V. Let W be the subspace of all
               such that f( ,  ) = 0 for every  . Show that
                                 rank f = dim V – dim W.

          30.2 Symmetric Bilinear Forms

          In dealing with a bilinear form sometimes it is asked when is there an ordered basis   for V in
          which f is represented by a diagonal matrix. It will be seen in this part of the unit that if  f is a
          symmetric bilinear form, i.e., f( ,  ) = f( ,  ) then f will be represented by a diagonal matrix in
          an ordered basis of the space V.
          If V is a finite-dimensional, the bilinear form f is symmetric if and only if the matrix A in some
          ordered basis is symmetric, A  = A.
                                  t
          To see this, one enquires when the bilinear form
                                          t
                                 f(X, Y) = X AY
          is symmetric.

          This happens if and only if X AY = Y AX for all column matrices X and Y. Since X AY is a 1   1
                                                                            t
                                        t
                                  t
                                                              t
                         t
                                                                    t
                                                               t
          matrix, we have X AY = Y A X. Thus f is symmetric if and only if Y A X = Y AX for all X, Y. Clearly
                                t
                              t
                              t
          this just means that A = A . In particular, one should note that if there is an ordered basis for V in
          which f is represented by a diagonal matrix, then  f is symmetric, for any diagonal matrix is a
          symmetric matrix.
          If f is a symmetric bilinear form, the quadratic form associated with f is the function q from V into
          F defined by
                                   q( ) = f( ,  )
          If F is a subfield of the complex numbers, the symmetric bilinear form f is completely determined
          by its associated quadratic form, according to the polarization identity
                                         1         1
                                 f( , ) =   q(  +  ) –  q(  –  )                   ...(5)
                                         4         4
          If f is the bilinear form of Example 4, the dot product, the associated quadratic form is
                              ( q x 1 , ... x n ) = x  + ... + x 2 n
                                         2
                                         1
                                                                                t
          In other words, q( ) is the square of the length of  . For the bilinear form f (X, Y) = X AY, the
                                                                       A
          associated quadratic form is
                                                 A x x
                                  q (X) = X AX =   ij i j
                                          t
                                   A
                                                , i j




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