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Unit 6: Computation Concerning Subspaces




          so that if  is a linear combination of the , we have                                Notes
                                             j
                                        r
                                     =   b ki  i
                                        i  1

                                        r    m
                                     =    b ki  P ij  j
                                        i  1  j  1

                                        m  r
                                     =       b P ij  j
                                              ki
                                        j  1  i  1
                                        r
          and thus                 x  =   b P
                                    j      ki  ij
                                        i  1
          is one possible choice for the x  (there may be many).
                                   j
          The question of whether  = (b ,...,b ) is a linear combination of the , and if so, what the scalars
                                   1  n                          i
          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 coefficient matrix of this system of equations is
          then n × m matrix B with column vectors  ,..., . In unit 5, we discussed the use of elementary
                                             1  m
          row operations in solving a system of equations BX = Y. Let us consider one example in which
          we adopt both points of view in answering questions about subspaces of F .
                                                                      n
          6.2 Illustrative Examples



                                                                            4
                 Example 1: Let us pose the following problem. Let W be the subspace of R  spanned by
          the vectors
                                     = (1, 2, 2, 1)
                                    1
                                     = (0, 2, 0, 1)
                                    2
                                     = (–2, 0, –4, 3)
                                    3
          (a)  Prove that  ,  ,   form a basis for W, i.e., that these vectors are linearly independent.
                         1  2  3
          (b)  Let  = (b , b , b , b ) be a vector in W. What are the coordinates of  relative to the ordered
                      1  2  3  4
               basis { ,  ,  }?
                     1  2  3
          (c)  Let
                                    '   = (1, 0, 2, 0)
                                    1
                                    '   = (0, 2, 0, 1)
                                    2
                                    '   = (0, 0, 0, 3)
                                    3
               Show that   '  ,   '  ,   '   form a basis for W.
                         1  2   3





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