Page 107 - A Course in Linear Algebra with Applications
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4.1:  Examples  of  Vector  Spaces          91


                           I
        segments   IU  and V   representing  the  vectors  A  and  B,  com-
                                                       I
        plete  the  parallelogram  formed  by  the  lines U  and  IV;  the
                      I
        the  diagonal W    will  represent  the  vector  A  +  B.
             An   equivalent  formulation  of  this  is  the  triangle  rule,
        which  is encapsulated  in the  diagram  which  follows:













                           I            A


        Note that  this  diagram  is obtained  from  the  parallelogram  by
                                              I
        deleting  the  upper  triangle.  Since V  and  U W   are  parallel
         line  segments  of  equal  length,  they  represent  the  same  vector
         B.
             There  is  also  a  geometrical  interpretation  of  the  rule  of
                                    3
         scalar  multiplication  in  R .  As  before  let  A  in  R 3  be  repre-
         sented  by the  line  segment  joining I(tii,  U2,  u^)  to U(tti  +  ai,
         U2 +  Q2) ^3 +  03).  Let  c be  any  scalar.  Then  cA  is  represented
         by  the  line  segment  from  (u\,  U2, U3) to  (u\  +  cax,  U2  +  ca2,
         U3  +  CGS3). This  line  segment  has  length  equal  to  \c\ times  the
                                                                   I
         length  of IU,  while  its  direction  is the  same  as that  of U  if
         c  >  0,  and  opposite  to that  of U  if  c <  0.
                                         I
             Of  course,  there  are  similar  geometrical  representations
         of  vectors  in  R 2  by  line  segments  drawn  in the  plane,  and  in
         R 1  by  line  segments  drawn  along  a  fixed  line.  So  our  first
         examples  of  vector  spaces  are  familiar  objects  if  n  < 3.
             Further  examples  of vector  spaces  are  obtained  when  the
         field  of  real  numbers  is replaced  by  the  field  of  complex  num-
         bers  C:  in this  case  we  obtain
                                         n
                                       C ,
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