Page 123 - Advanced Linear Algebra
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The Isomorphism Theorems   107




                                         Z        ²# b :³ ~ # b :
               When is   well-defined? If   is well-defined, is it a linear transformation?
                                       Z
                        Z


                           Z
                                     Z
               What are im²³  and ker ²³ ?


            8.  Show that for any nonzero vector  #=  ,  there  exists  a  linear  functional
                 =  for which   ²#³ £  .
                     i
            9.  Show that a vector #=   is zero if and only if  ²#³~   for all   =  i .
            10.  Let   be a proper subspace of a finite-dimensional vector space   and let
                   :
                                                                     =
                                                                  i
               #= ± :.  Show  that there is a linear functional     =  for which
                ²#³ ~   and   ² ³ ~   for all     :.
            11.  Find a vector space   and decompositions
                               =
                                     =~ ( l ) ~ * l +

               with (š *  but ) š + . Hence, (š *  does not  imply that ( š *    .
                               °
            12.  Find isomorphic vectors spaces   and  >   with
                                         =
                                  =~ : l ) and  > ~ : l +
               but )š + . Hence, = š >  does not  imply that = °: š > °: .
                     °
            13.  Let   be a vector space with
                   =

                                    = ~ :l ; ~ :l ;

                                                         =
               Prove that if     :   and     :   have finite codimension in  , then so does     :  q  :
               and
                              codim²: q : ³  dim ²; ³ b dim ²; ³




            14.  Let   be a vector space with
                   =
                                    = ~ :l ; ~ :l ;


               Suppose that :   and :        have finite codimension. Hence, by the previous
               exercise, so does :q :      . Find a direct sum decomposition = ~ > l ?
               for  which  1   >  ()   has finite codimension,  2   >  ()  ‹  :     q  :      and  3()
                          .
               ?Œ ; b ;
            15.  Let   be a basis for an infinite-dimensional vector space   and define, for
                   8
                                                              =
                                Z
                                          Z

               all   8 , the map    =  i   by   ² ³ ~    if   ~    and   otherwise, for all
                                 8. Does
                                                   i
                            Z
                 8       ¸  “    ¹ form a basis for  = ? What do you conclude about
               the concept of a dual basis?
                                               =
            16.  Prove that if   and   are subspaces of  , then  :  ²  l  ;  ³  i  š  :  i  ^  ;  i  .
                          :
                               ;
                          d


            17.  Prove that  ~    and    d  ~     where   is the zero linear operator and   is
               the identity.
                   :
            18.  Let   be a subspace of  . Prove that  =  =  ²  °  :  ³  i  š  :     .
            19. Verify that
                         d
               a)  ²b ³ ~     d  b    d  for Á        ²= Á >  . ³


                                             B
               b   ²  ³ ~      d   for any    -  and   ²= Á > ³
                       d
                )
                                                 B


            20.  Let     B ²= Á > ³ ,  where  =   and  >  are finite-dimensional. Prove that

               rk²³ ~  rk²    d ³.
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