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Unit 15: Tensors in Cartesian Coordinates




          Exercise 15.16: Prove that the sum in the right hand side of formula (4) does not depend on the  Notes
          basis, i.e. prove the equality
                                      3  3       3  3
                                                          q
                                              j
                                                        p
                                            i
                                        a x y   a x y .
                                                       
                                           ij
                                                     pq
                                      i 1 j 1   p 1 q 1
                                      
                                                   
                                                 
                                        
          This equality means that a(x, y) is a number determined by vectors x and y irrespective of the
          choice of basis. Hence we can treat (4) as a scalar function of two vectorial arguments.
          Exercise 15.17: Let    be some  real number,  and  let x,  y, and  z  be three  vectors. Prove  the
          following properties of function (4):
          (1)  a(x + y, z) = a(x, z) + a(y, z);
          (2)  a( x, y) =  a(x, y);
          (3)  a(x, y + z) = a(x, y) + a(x, z);
          (4)  a(x, y) =  a(x, y).
          Due to these properties function (4) is called a bilinear function or a bilinear form. It is linear
          with respect to each of its two arguments.
          Note that scalar product is also a bilinear function of its arguments. The arguments of scalar
          product are of a different nature: the first argument is a  covector, the second is a vector. Therefore,
          we cannot swap them. In bilinear form (4) we can swap arguments. As a result we get another
          bilinear  function
                                        b(x, y) = a(y, x).                         ...(5)
          The matrices of a and b are related to each other as follows:

                                        b  = a , b = a .                           ...(6)
                                                  T
                                             ji
                                         ij
          Definition: A bilinear form is called symmetric if a(x, y) = a(y, x).
          Exercise 15.18: Prove the following identity for a symmetric bilinear form:
                                     a(x + y, x + y) – a(x, x) – a(y, y)
                              a(x, y) =                      .                     ...(7)
                                                 2
          Definition: A quadratic form is a scalar function of one vectorial argument f(x) produced from
          some bilinear function a(x; y) by substituting y = x:
                                         f(x) = a(x, x).                           ...(8)
          Without a loss of generality a bilinear function a in (8) can be assumed symmetric. Indeed, if a is
          not symmetric, we can produce symmetric bilinear function
                                           a(x, y) + a(y, x)
                                    c(x, y) =          ,                           ...(9)
                                                 2
          and then from (8) due to (9) we derive

                                             a(x, x) + a(x, x)
                                 f(x) = a(x, x) =        = c(x, x).
                                                  2
          This equality is the same as (8) with a replaced by c. Thus, each quadratic function f is produced
          by some symmetric bilinear function a. And conversely, comparing (8) and (7) we get that a is
          produced by f:

                                          f(x + y) – f(x) – f(y)
                                  a(x, y) =              .                        ...(10)
                                                 2



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