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2.3 Elementary Formulas  13

          The elements come from row i of A, but the cofactors belong to the elements
          in row k and are said to be alien to the elements. The identity is merely
          an expansion by elements from row k of the determinant in which row k =
          row i and which is therefore zero.
            The identity can be combined with the expansion formula for A with the
          aid of the Kronecker delta function δ ik (Appendix A.1) to form a single
          identity which may be called the sum formula for elements and cofactors:
                    n

                       a ij A kj = δ ik A,  1 ≤ i ≤ n,  1 ≤ k ≤ n.  (2.3.12)
                    j=1
          It follows that
                        n

                          A ij C j =[0 ... 0 A 0 ... 0] ,  1 ≤ i ≤ n,
                                                T
                       j=1
          where the element A is in row i of the column vector and all the other
          elements are zero. If A = 0, then
                               n

                                 A ij C j =0,  1 ≤ i ≤ n,           (2.3.13)
                              j=1
          that is, the columns are linearly dependent. Conversely, if the columns are
          linearly dependent, then A =0.


          2.3.5  Cramer’s Formula
          The set of equations

                               n

                                 a ij x j = b i ,  1 ≤ i ≤ n,
                              j=1
          can be expressed in column vector notation as follows:

                                     n

                                       C j x j = B,
                                    j=1
          where

                                                   .
                                                  T
                                B = b 1 b 2 b 3 ··· b n
          If A = |a ij | n  = 0, then the unique solution of the equations can also be
          expressed in column vector notation. Let

                              A = C 1 C 2 ··· C j ··· C n .


          Then
                              1
                         x j =
                              A  C 1 C 2 ··· C j−1 BC j+1 ··· C n
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