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5.2. MATRICES AND DETERMINANTS                     169

                          The difference of two matrices A ≡ [a ij ]and B ≡ [b ij ]ofthe same size m × n is the
                       matrix C ≡ [c ij ]ofsize m × n with entries

                                       c ij = a ij – b ij  (i = 1, 2, ... , m; j = 1, 2, ... , n).
                       The difference of two matrices is denoted by C = A – B, and the operation is called
                       subtraction of matrices.

                          The product of a matrix A ≡ [a ij ]of size m × n by a scalar λ is the matrix C ≡ [c ij ]of
                       size m × n with entries

                                         c ij = λa ij  (i = 1, 2, ... , m; j = 1, 2, ... , n).
                       The product of a matrix by a scalar is denoted by C = λA, and the operation is called
                       multiplication of a matrix by a scalar.
                          Properties of multiplication of a matrix by a scalar:
                             0A = O               (property of zero),
                             (λμ)A = λ(μA)        (associativity with respect to a scalar factor),
                             λ(A + B)= λA + λB    (distributivity with respect to addition of matrices),
                             (λ + μ)A = λA + μA   (distributivity with respect to addition of scalars),
                       where λ and μ are scalars, matrices A, B, C, and zero matrix O have the same size.
                          The additively inverse (opposite) matrix for a matrix A ≡ [a ij ]of size m×n is the matrix
                       C ≡ [c ij ]ofsize m × n with entries

                                         c ij =–a ij  (i = 1, 2, ... , m; j = 1, 2, ... , n),
                       or,inmatrixform,
                                                         C =(–1)A.
                          Remark. The difference C of two matrices A and B can be expressed as C = A +(–1)B.
                          The product of a matrix A ≡ [a ij ]ofsize m × p and a matrix B ≡ [b ij ]ofsize p × n is
                       the matrix C ≡ [c ij ]ofsize m × n with entries
                                            p

                                      c ij =   a ik b kj  (i = 1, 2, ... , m; j = 1, 2, ... , n);
                                           k=1
                       i.e., the entry c ij in the ith row and jth column of the matrix C is equal to the sum of
                       products of the respective entries in the ith row of A and the jth column of B. Note that
                       the product is defined for matrices of compatible size; i.e., the number of the columns in
                       the first matrix should be equal to the number of rows in the second matrix. The product of
                       two matrices A and B is denoted by C = AB, and the operation is called multiplication of
                       matrices.
                          Example 1. Consider two matrices
                                                   1  2             0  10   1
                                             A =          and B =              .
                                                  6 –3             –6 –0.5  20
                       The product of the matrix A and the matrix B is the matrix
                                   1  2    0   10   1

                         C = AB =
                                   6 –3    –6  –0.520
                                    1×0 + 2× (–6)  1×10 + 2× (–0.5)
                                                                     1× 1 + 2× 20        –12  9  41
                                =                                                =                .
                                   6× 0 +(–3) × (–6)  6× 10 +(–3) × (–0.5)  6×1 +(–3) ×20  18  61.5  –54
                          Twosquare matricesA and B are saidtocommute if AB =BA, i.e., if their multiplication
                       is subject to the commutative law.
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