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5.2. MATRICES AND DETERMINANTS                     179

                          Example 4. Using the last formula, let us calculate the third-order determinant of the matrix from Exam-
                       ple 1. The numbers β 1, β 2, β 3 represent permutations of the set 1, 2, 3.We have
                                 Δ ≡ det A =(–1) N(1,2,3) a 11a 22a 33 +(–1) N(1,3,2) a 11a 32a 23 +(–1) N(2,1,3) a 21a 12a 33
                                         +(–1) N(2,3,1) a 21a 32a 13 +(–1) N(3,1,2) a 31a 12a 23 +(–1) N(3,2,1) a 31a 22a 13
                                             0               1               1
                                         =(–1) ×1 ×1× (–4)+ (–1) ×1× (–1) ×5 +(–1) ×6 × (–1) × (–4)
                                             2               2               3
                                         +(–1) ×6 × (–1) ×2 +(–1) ×2× (–1) ×5 +(–1) ×2 ×1×2 =–49,
                       which coincides with the result of Example 1.
                       2 .The nth-order determinant can also be defined as follows:
                        ◦
                                                  n   n      n

                                      Δ ≡ det A =        ···    δ β 1 β 2 ...β n β 1 1 a β 2 2 ... a β n n ,
                                                                       a
                                                 β 1 =1 β 2 =1  β n=1
                                     is the Levi-Civita symbol:
                       where δ β 1 β 2 ...β n
                                              0,   if some of β 1 , β 1 , ... , β n coincide,

                                          =   1,   if β 1 , β 1 , ... , β n form an even permutation,
                                  δ β 1 β 2 ...β n
                                              –1,  if β 1 , β 1 , ... , β n form an odd permutation.

                       5.2.2-5. Calculation of determinants.
                       1 . Determinants of specific matrices are often calculated with the help of the formulas
                        ◦
                       for row expansion or column expansion (see Paragraph 5.2.2-1). For this purpose, its is
                       convenient to take rows or columns containing many zero entries.
                       2 . The determinant of a triangular (upper or lower) and a diagonal matrices is equal to the
                        ◦
                       product of its entries on the main diagonal. In particular, the determinant of the unit matrix
                       is equal to 1.
                       3 . The determinant of a strictly triangular (upper or lower) matrix is equal to zero.
                        ◦
                       4 . For block matrices, the following formula can be used:
                        ◦
                                                 A  O        A  B


                                                B   C     O   C
                                                        =         =det A det C,
                       where A, B, C are square matrices of size n × n and O is the zero matrix of size n × n.
                       5 .The Vandermonde determinant is the determinant of the Vandermonde matrix:
                        ◦
                                                      1      1   ···    1


                                                      x 1   x 2  ···   x n
                                  Δ(x 1 , x 2 , ... , x n ) ≡    x 2 1  x 2 2  ···  x 2    =    (x i – x j ).

                                                                        n
                                                      . .    . .  . .   .

                                                      .      .     .    .     1≤j<i≤n
                                                                        .
                                                     x 1   x 2   ··· x n
                                                       n–1  n–1        n–1
                       5.2.2-6. Determinant of a sum and a product of matrices.
                       The determinant of the product of two matrices A and B of the same size is equal to the
                       product of their determinants,
                                                    det(AB)= det A det B.

                          The determinant of the direct sum of a matrix A of size m × m and B of size n × n is
                       equal to the product of their determinants,
                                                   det(A ⊕ B)=det A det B.
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