Page 240 - Advanced engineering mathematics
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220    CHAPTER 7  Matrices and Linear Systems

                      7. −10x 1 − x 2 + 4x 3 − x 4 + x 5 − x 6 = 0  12. 2x 1 − 4x 5 + x 7 + x 8 = 0
                                      x 2 − x 3 + 3x 4 = 0              2x 2 − x 6 + x 7 − x 8 = 0
                                      2x 1 − x 2 + x 5 = 0                 x 3 − 4x 4 + x 5 = 0
                                       x 2 − x 4 + x 6 = 0                  x 2 − x 3 + x 4 = 0
                                                                         x 2 − x 5 + x 6 − x 7 = 0
                      8.    8x 1 − 2x 3 + x 6 = 0
                        2x 1 − x 2 + 3x 4 − x 6 = 0
                                                                   13. Can a system AX = O having at least as many equa-
                         x 2 + x 3 − 2x 5 − x 6 = 0
                                                                       tions as unknowns, have a nontrivial solution?
                            x 4 − 3x 5 + 2x 6 = 0
                      9.  x 2 − 3x 4 + x 5 = 0                     14. Show that a system AX = O has a nontrivial solu-
                          2x 1 − x 2 + x 4 = 0                         tion if and only if the columns of A are linearly
                        2x 1 − 3x 2 + 4x 5 = 0                         dependent. Hint: This can be done using a dimension
                                                                       argument. Another approach is to write AX as a lin-
                     10. 4x 1 − 3x 2 + x 4 + x 5 − 3x 6 = 0
                                                                       ear combination of the columns of A, as suggested in
                            2x 2 + 4x 4 − x 5 − 6x 6 = 0
                                                                       Section 7.1.1.
                            3x 1 − 2x 2 + 4x 5 − x 6 = 0
                            2x 1 + x 2 − 3x 3 + 4x 4 = 0
                                                                   15. Let A be an n × m matrix of real numbers. Let S(A)
                     11.  x 1 − 2x 2 + x 5 − x 6 + x 7 = 0             denote the solution space of A.Let R be the row space
                        x 3 − x 4 + x 5 − 2x 6 + 3x 7 = 0              and C the column space of A.
                                                                                      ⊥
                                x 1 − x 5 + 2x 6 = 0                      (a) Show that R = S(A).
                                                                                            t
                                                                                      ⊥
                               2x 1 − 3x 4 + x 5 = 0                      (b) Show that C = S(A ).
                     7.6         Nonhomogeneous Systems

                                 Now consider the nonhomogeneous linear system of n equations in m unknowns:

                                                          a 11 x 1 + a 12 x 2 + ··· + a 1m x m = b 1
                                                          a 21 x 1 + a 22 x 2 + ··· + a 2m x m = b 2
                                                                               .
                                                                               .
                                                                               .
                                                          a n1 x 1 + a n2 x 2 + ··· + a nm x m = b n .
                                 In matrix form,
                                                                    AX = B                               (7.1)
                                 where A is the coefficient matrix,
                                                               ⎛   ⎞        ⎛ ⎞
                                                                 x 1          b 1
                                                                 x 2          b 2
                                                               ⎜   ⎟        ⎜ ⎟
                                                            X = ⎜ . ⎟ and B = ⎜ . ⎟.
                                                               ⎜
                                                                   ⎟
                                                                            ⎜ ⎟
                                                                              .
                                                                  .
                                                               ⎝ . ⎠        ⎝ . ⎠
                                                                 x m          b n
                                   The system is nonhomogeneous if at least one b j  = 0. Nonhomogeneous systems differ
                                   from linear systems in two significant ways.
                                       1. A nonhomogeneous system may have no solution. For example, the system
                                                                    2x 1 − 3x 2 = 6
                                                                    4x 1 − 6x 2 = 8
                                         can have no solution. If 2x 1 − 3x 2 = 6, then 4x 1 − 6x 2 must equal 12, not 8.






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