Page 514 - Thomson, William Tyrrell-Theory of Vibration with Applications-Taylor _ Francis (2010)
P. 514

Appen. C.3   Rules of Matrix Operations                        501


                                  i.e.,
                                                     c^t  —  I x 2   +  2 x 0   +  2 x 3   —  8

                                  It is evident that the number of columns in   A  must equal the number of rows in   B, or
                                  that the  matrices  must be  conformable.  We  also  note  that   A B  ^  BA.
                                      The  postmultiplication  of  a  matrix  by  a  column  matrix  results  in  a  column
                                  matrix.
                              Example C.3-3

                                                        1  1  r  iM   I  ^
                                                        1  5  2  3  =  20
                                                        2  1  3  h i  I n

                                  Premultiplication of a matrix by a row matrix (or transpose of a column matrix) results
                                  in  a  row matrix.
                              Example C.3-4
                                                            1   1   1
                                                   [1  3  2]  1  5  2  =  [8  18  13]
                                                           2  1  3

                                      The  transpose of a  product   A B  =  C is   =  B^A^.
                              Example C.3-5
                                                           1   1       2   1
                                                     Let  A        B  =
                                                           2  3         1  1
                                                 ■3   2'  CT =  ßT^T _  2  1  1  2  ■3  7'
                                         C  = A B  =
                                                 .7  5                1  1  1  3   .2  5.

                                  Inversion of a matrix.  Consider  a  set  of equations
                                                    a , j Xj +   «12 ^2  +   ^13-^3
                                                   « 21-^1 +   «22 ^2  "*■  ^23-^3  3^2  (C .3 -1)

                                                   031-^1  +   «32  ^2  ^33^3  ^  3^3
                              which  can  be  expressed  in  the  m atrix  form
                                                           A X  = Y                      (C .3-2)

                              Prem ultiplying  by  the  inverse   obtain  the  solution
                                                          X = A-^Y                       (C .3-3 )
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