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202    CHAPTER 7  Matrices and Linear Systems

                                                        ⎛         ⎞    ⎛           ⎞
                                                          0  −3  1       0   −3   1
                                                     O 3            O 4
                                                     −→ 2    1   0 ⎠  −→ −8 −4    0 ⎠ =  .
                                                                       ⎝
                                                        ⎝
                                                          1  0   0       1    0   0
                                 Then
                                                           ⎛          ⎞⎛               ⎞
                                                             0   −3  1    0  −1  1   4
                                                      A = −8 −4      0 ⎠⎝ 9  3   7 −7 ⎠
                                                           ⎝
                                                             1   0   0    0  2   1   5
                                                          ⎛                   ⎞
                                                            −27   −7  −20   26
                                                         = −84    −4  −36   −4 ⎠ = B.
                                                          ⎝
                                                             6    −1   1    4
                                    Later it will be important to know that the effect of each elementary row operation can be
                                 reversed by an elementary row operation of the same type. To see this, look at each type in turn.
                                    If we form B from A by interchanging rows i and j, then interchanging these rows (another
                                 type I operation) in B returns A.
                                    If we multiply a row of A by a nonzero number k, then multiply that row of B by 1/k
                                 (a type II operation) to reproduce A.
                                    Finally, if we add α times row i to row j of A, then add −α times row i to row j of B
                                 (a type III operation) to return to A.
                                    Since all of these reversals are done by elementary row operations, they can also be achieved
                                 by multiplying on the left by an elementary matrix.
                                    We say that A is row equivalent to B if B can be obtained from A by a sequence of elementary
                                 row operations. Row equivalence has the following properties.


                           THEOREM 7.6
                                    1. Every matrix is row equivalent to itself.
                                    2. If A is row equivalent to B, then B is row equivalent to A.
                                    3. If A is row equivalent to B, and B is row equivalent to C, then A is row equivalent
                                       to C.

                                    Elementary row operations can be done in MAPLE using the swaprow(A,i,j),
                                 mulrow(A,2,α), and addrow(A,i,j,α) commands, within the linalg package of
                                 subroutines. These are discussed in the MAPLE Primer.


                        SECTION 7.2        PROBLEMS


                                                                          ⎛          ⎞
                     In each of Problems 1 through 8, perform the elementary  −2  14  6    √
                     row operation or sequence of row operations on A and then  3. A= ⎝ 8  1  −3 ⎠ ;add  13 times row 3 to row 1,
                     produce a matrix   so that  A is the end result.       2   9   5
                                                                       then interchange rows 2 and 1 and then multiply row
                           ⎛              ⎞
                             −2   1   4  2
                                                          √            1by5.
                      1. A = ⎝ 0  1  16  3 ⎠ ; multiply row 2 by  3.
                             1   −2   4  8                                ⎛          ⎞
                                                                           −4   6  −3
                           ⎛      ⎞
                             3  −6                                  4. A = ⎝ 12  4  −4 ⎠ ; interchange rows 2 and 3, then
                             1  1
                           ⎜      ⎟                                         1   3  0
                      2. A =  ⎜   ⎟ ; add 6 times row 2 to row 3.
                           ⎝ 8
                                −2 ⎠
                                                                       add the negative of row 1 to row 2.
                             0  5
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                                   October 14, 2010  14:23  THM/NEIL   Page-202        27410_07_ch07_p187-246
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