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Unit 6: Computation Concerning Subspaces




              Given the vectors , row-reduction is a straightforward method of determining the integers  Notes
                              i
               r, k ,...,k  and the scalars R  which give the description of the subspace spanned by  ,..., .
                 1   r             ij                                            1   m
              The question of whether  = (b ,...,b ) is a linear combination of the , and if so, what the
                                        1  n                          i
               scalars x  are, can also be looked at by asking whether the system of equations
                      i
                                       m
                                         A x  i  b  j  ,  j  1,...,n
                                          ij
                                       i  1
               has a solution and what the solutions are.

              The unit helps in finding an invertible matrix P such that the co-ordinates of a vector  in
               the two system of basis  and ’ are related by the relation X = PX’ for every basis .

          6.4 Keywords

          Basis of the Subspace: The basis of the subspace W is found by the row vectors of R. So one can
          test whether a vector  belongs to W or not.
          Row Reduction of a Matrix: The row reduction of a matrix A helps whether a set of vectors  ,
                                                                                     1
           ,   form a basis by forming the matrix A with row vectors and finding its rank.
           2  3
          6.5 Review Questions

          1.   Let  = (u , u ,...,u ) and ’ = (v , v , v ,..,v ) be two bases of a vector space V. Show that the
                       1  2  n         1  2  3  n
               base change matrix P is uniquely determined by the two bases  and ’ and is an invertible
               matrix.
          2.   Solve completely the system of equations AX = 0 and AX = B, where

                                        1   1  0         1 
                                                         
                                    A   1  0  1  and B   1
                                                         
                                        1    1  1      1  
          Answers: Self  Assessment


                 
                a b      a       b          a      b           
                                         
                                                
                                                              
                                                          
                                                       
                                                  )
                        i
                      
                               i
                             
          1.       (1 2 ), (1 2 )   (7i  1) ic , (3 i   (6 i ) c (1 i ) 
                 5       5       5          5      5           
          2.   , 
          6.6 Further Readings
           Books         Kenneth Hoffman and Ray Kunze, Linear Algebra
                         I.N. Herstein, Topics in Algebra
                         Michael Artin, Algebra










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