Page 241 - Advanced Linear Algebra
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Real and Complex Inner Product Spaces  225




                              )     )"b#     b  )  )"c#     ) ~   " )     ) b  # )
               prove that the polarization identity


                                                    )
                                          )
                                                         )
                                º"Á #» ~  ² " b#)  c " c# ³

               defines an inner product on  .   :  Evaluate     º  "Hint  Á  %  »  b     º  #  Á  %  »    to  show
                                        =
               that º"Á  %» ~  º"Á %»  and º"Á %» b º#Á %» ~ º" b #Á %» . Then complete the
               proof that º"Á %» ~  º"Á%» .
            21.  Let   be a subspace of a finite-dimensional inner product space  . Prove
                   :
                                                                     =
               that each coset in =°:  contains exactly one vector that is orthogonal to  .
                                                                         :
            Extensions of Linear Functionals
            22.  Let   be a linear functional on a subspace   of a finite-dimensional inner
                                                   :

                           =
               product space  . Let  ²     #  ³  ~  º  #  Á  9    »  . Suppose that       =  i  is an extension

               of  , that is,  O     :  ~     . What is the relationship between the Riesz vectors  9
                     ?
               and 9
            23.  Let   be a nonzero linear functional on a subspace   of a finite-dimensional

                                                         :
               inner  product  space  =   and let  2  ~  ker ²     ³  . Show that if       =  i  is an
               extension of     , then  9    2  ž  ±    :  ž  . Moreover,  for  each  vector
                     ž
                         ž
               "2 ± :  there is exactly one scalar   for which the linear functional

                ²?³ ~ º?Á "» is an extension of  .


            Positive Linear Functionals on s
                                                    (
            A vector # ~ ²  ÁÃÁ  ³  in s    is nonnegative   also called positive) , written


                     ‚  for all   . The vector  # is strictly positive , written  #€ , if  # is
            #‚ , if
            nonnegative but not  . The set  s      of all strictly positive vectors in  s      is called

                                       b
            the  nonnegative orthant  in  s À      The vector    is  strongly  positive ,  written
                                                   #
                      €  for all   . The set s     , of all strongly positive vectors in s      is
            #ˆ , if                      bb

            the strongly positive orthant  in s À
            Let   ¢ : ¦ s    be  a  linear functional on a subspace  :  of  s    . Then   is

                       (
            nonnegative  also called positive ) , written  ‚   , if
                                     #€ ¬ ²#³‚
            for all #:  and   is strictly positive , written   €  , if

                                     #€ ¬ ²#³€
            for all #:À

            24.  Prove that a linear functional   on s    is positive if and only if  9     €      and
               strictly positive if and only if 9ˆ   . If   is a subspace of s    is it true
                                                  :

               that a linear functional   on   is nonnegative if and only if  9  €  ?
                                      :
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