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0593_C02_fm  Page 40  Monday, May 6, 2002  1:46 PM





                       40                                                  Dynamics of Mechanical Systems


                        Matrix products are distributive over addition and subtraction. That is,

                                                       (
                                                      AB C) =  AB AC                           (2.10.6)
                                                          +
                                                                  +
                       and

                                                      ( BC A ) =  BA CA                        (2.10.7)
                                                                  +
                                                        +
                       Matrix products are also associative. That is, for conformable matrices A, B, and C, we
                       have:

                                                     ( AB C ) = (   ABC                        (2.10.8)
                                                            A BC) =

                       Hence, the parentheses are unnecessary.
                        Next, it is readily seen that the transpose of a product is the product of the transposes
                       in reverse order. That is:

                                                         ( AB) =  B A T                        (2.10.9)
                                                             T
                                                                 T
                                                                                        –1
                       Finally, if A is a nonsingular square matrix, the inverse of A, written as A , is the matrix
                       such that:

                                                        AA =  A A =  I                        (2.10.10)
                                                          −1
                                                               −1
                                                    –1
                       where I is the identity matrix. A  may be determined as follows: Let M  be the minor of
                                                                                       ij
                       the element a  defined as the determinant of the matrix occurring when the ith row of A
                                   ij
                       and the jth column of a are deleted. Let   be the adjoint of a  defined as:
                                                                             ij
                                                            ij
                                                         ˆ
                                                        A =− ( ) 1  ij +  M                    (2.10.11)
                                                          ij        ij
                              –1
                        Then A  is the matrix with elements:
                                                              ij [ ] T
                                                             ˆ
                                                       A =  A    det  A                       (2.10.12)
                                                        −1
                                                                       T
                       where detA designates the determinant of A and [Â ]  is the transpose of the matrix of
                                                                      ij
                       adjoints.
                        If it happens that:
                                                           A =  A T                           (2.10.13)
                                                            −1

                       then A is said to be orthogonal. In this case, the rows and columns of A may be considered
                       as components of mutually perpendicular unit vectors.
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