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P. 58

Statistics and Data Analysis in  Geology - Chapter 3

             However, the 3 x 2 matrix cannot be postmultiplied by the 5 x 3 matrix because the
             number  of  columns (two) in the left matrix would not equal the number of  rows
             (five) in the right matrix.
                 Multiplying a matrix by its transpose  results in a square, symmetric matrix
             product whose size is determined by the order of multiplication.  Typically, a data
             array consists of  n rows and m columns, where n is much larger than m. If  such
             an array is premultiplied by its transpose, the minor product matrix will be m x m:






             But reversing the order of  multiplication yields the n x n major product matrix:






              The equation for the general case of matrix multiplication is




                  In a series of  multiplications,  the sequence in which the multiplications are
              accomplished is not mandatory if the arrangement is not changed. That is,

                                  A x B X C = (A X B) X C = A X  (B X C)
                  Because powering is simply a series of multiplications, a square matrix can be
              raised to a power. So,
                                              A~=AXA
              and
                                        A3 = A2 x A = A X A X A

              Note that nonsquare matrices cannot be powered, because the number of rows and
              columns of a rectangular matrix would not accord if the matrix were multiplied by
              itself.
                  As an example, we can power the array of  transition probabilities discussed at
              the first of this section. In matrix form,
                                            0.74  0.23  0.03

                                            0.05  0.38  0.57



                                            0.572  0.322  0.106  I
                                            0.150  0.505  0.345
                                            0.104  0.460  0.437

              and
                                            0.461  0.368  0.171  I
                                            0.178  0.474  0.348
                                            0.144  0.470  0.385

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