Page 59 - Statistics and Data Analysis in Geology
P. 59

Matrix Algebra

                 If we continue to power the transition probability matrix, it converges to a sta-
             ble configuration (called the stationary probability matrix) in which each column
             of  the matrix is a constant.  These are the proportions of  the specific lithologies
             represented by the columns.  In this example, the proportions are 23% sandstone,
             45% shale, and 32% limestone. We can see that the columns are converging on these
             values at the 10th power of T:


                                            0.248  0.443  0.309
                                            0.230  0.449  0.321  1
                                            0.228  0.450  0.322


                 Square matrices also can be raised to a fractional power, most commonly to
             the one-half power. This is equivalent to finding the square root of the matrix. That
             is, All2 is a matrix, XI whose square is A:







                 Finding fractional powers  of  matrices can be  computationally  troublesome.
             Fortunately, in the applications we will consider, we will only need to find the frac-
             tional powers of diagonal matrices, which have special properties that make it easy
             to raise them to a fractional power.  If  we raise the diagonal matrix A to the one-
             half power, the result is a diagonal matrix whose nonzero elements are equal to the
             square roots of  the equivalent elements in A. For example, if A is 3 x 3,









                 As we defined it earlier, the identity matrix is a special diagonal matrix in which
             the diagonal terms are all equal to 1. The identity matrix has an extremely useful
             property; if  a matrix is multiplied by an identity matrix, the resulting product is
             exactly the same as the initial matrix:





                                                100          147
                                   258XO10=258
                                 [: :] [O  0  11  [3  6  91

             Thus, the identity matrix corresponds  to the  1 of ordinary multiplication.  This
             property is especially important in operations in the following sections.





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