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Linear Algebra




                    Notes          (f)  The equations in the system RX = 0 are
                                                   x  + 2x  + 3x  = 0
                                                    1   2    4
                                                       x  + 4x  = 0
                                                        3   4
                                                            x  = 0
                                                             5
                                       Thus V consists of all columns of the form

                                                                         2x   3x 4 
                                                                         2
                                                                        x    
                                                                         2   
                                                                  X      4x 4  
                                                                             
                                                                        x 4  
                                                                         0   
                                                                             
                                       where x  and x  are arbitrary.
                                              2    4
                                   (g)  The columns

                                                                        2    3
                                                                      1      0  
                                                                          
                                                                      0    4
                                                                          
                                                                      0      1  
                                                                      0     0 
                                                                          
                                       form a basis of V.
                                   (h)  The equation AX = Y has solutions X if and only if

                                                    –y  + y  + y  = 0
                                                      1  2   3
                                                –3y  + y  + y  – y  = 0
                                                  1   2  4   5
                                   Self Assessment

                                           3
                                   1.  In C , let
                                                          = (1, 0, –i),   = (1 + i, 1 – i, 1),   = (i, i, i)
                                                         1          2              3
                                                                         3
                                       Prove that these vectors form a basis for C . What are the co-ordinates of the vector (a, b, c)
                                       in this basis?
                                   2.  Let   = (1, 1, –2, 1),   = (3, 0, 4, –1),   = (–1, 2, 5, 2)
                                            1            2            3
                                       Let

                                        = (4, –5, 9, –7),  = (3, 1, –4, 4),  = (–1, 1, 0, 1)
                                                                                 4
                                       Which of the vectors , ,  are in the sub-space of R  spanned by the  ?
                                                                                                i
                                   6.3 Summary

                                      In this unit it is shown how elementary row operations help us in understanding the basis
                                                     n
                                       of the subspace F .
                                      The detailed examples show how to go from one basis vector to another by means of an
                                       invertible matrix.






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