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Linear Algebra




                    Notes          Cancellation
                                   Let V be a vector space over a field F, then
                                   (i)  a  b    a b  for  , b F  and   V ,  0.
                                                       a
                                   (ii)  au  a     u  for  a F a  0,  and  ,  V .
                                                                     u
                                   Proof:
                                   (i)  L.H.S. =  a  b  or  a  b  0

                                       or  (a b )  0.

                                       Since   0, therefore, we must have
                                        a b  0  or  a  b
                                   (ii)  L.H.S.  au  a

                                       or  (a u  ) 0

                                       Since a  0, we must have
                                          u  0   u


                                          Example 34: Let F be a field and let V be the totality of all ordered n-tuples (  1 ,  2 ,....  n )
                                   where   1  . F  Two elements  (  1 ,  2  ,....  n )  and  (  1 ,  2  ,.... )  of V are declared to be equal if
                                                                                   n
                                   and only if   i  i  for each i = 1, 2, ..., n. We now introduce the requisite operations in V to make
                                   of it a vector space by defining:

                                   1.   (  1 ,  2  ,....  n )  + (  1 ,  2 ,.... )  = (  1  1 ,  2  2 ,.....,  n  n )
                                                              n
                                   2.  a  (  1 ,  2 ,....  n ) =  (a  1 , a  2 ,....a  n )  for a  F
                                   It is easy to verify that with these operations, V is a vector space over F.


                                          Example 35: Let F be any field and let V = F(x), the set of polynomials in x over F. We
                                   merely choose the fact that two polynomials can be added to get again a polynomial and that a
                                   polynomial can always be multiplied by an element of F. With these natural operations F(x) is
                                   a vector space over F.


                                          Example 36: The set of continuous real-valued functions on the real line is a real vector
                                   space with addition of functions f + g and multiplication by real numbers as its laws of composition.

                                                                                        2
                                                                                       d y
                                          Example 37: The set of solution of the differential equation   2  y  is a real vector space.
                                                                                       dx
                                   Self Assessment

                                                                                     ,
                                   17.  Show that the set W of  ordered tried  ( ,a a 2  , 0)  where  a a 2  F  is a vector space.
                                                                       1
                                                                                     1
                                                                 z
                                                              y
                                                           x
                                                                     y
                                                                   x
                                   18.  Prove that the set  W  ( ,2 ,4 ) : , ,z  R is a vector space.
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