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174                                 ALGEBRA

                       5.2.1-10. Block matrices.

                       Let us split a given matrix A ≡ [a ij ](i = 1, 2, ... , m; j = 1, 2, ... , n)ofsize m × n into
                       separate rectangular cells with the help of (M –1) horizontal and (N –1) vertical lines. Each
                       cell is a matrix A αβ ≡ [a ij ](i = i α , i α + 1, ... , i α + m α –1; j = j β , j β + 1, ... , j β + n β –1)of
                       size m α × n β and is called a block of the matrix A.Here i α = m α–1 + i α–1 , j β = n β–1 + j β–1 .
                       Then the given matrix A can be regarded as a new matrix whose entries are the blocks:
                       A ≡ [A αβ ](α = 1, 2, ... , M; β = 1, 2, ... , N). This matrix is called a block matrix.
                          Example 4. The matrix
                                                        a 11 a 12 a 13 a 14 a 15
                                                      ⎛                 ⎞
                                                      ⎜ a 21 a 22 a 23 a 24 a 25 ⎟
                                                      ⎜                 ⎟
                                                  A ≡ ⎜ a 31 a 32 a 33 a 34 a 35 ⎟
                                                      ⎝  a 41 a 42 a 43 a 44 a 45  ⎠
                                                        a 51 a 52 a 53 a 54 a 55
                       can be regarded as the block matrix
                                                              A 11  A 12
                                                       A ≡
                                                            A 21  A 22
                       of size 2×2 with the entries being the blocks

                                            A 11 ≡  a 11  a 12  a 13  ,  A 12 ≡  a 14  a 15  ,
                                                  a 21  a 22  a 23     a 24  a 25
                                                  a 31  a 32  a 33      a 34  a 35
                                                 (           )        (        )
                                            A 21 ≡  a 41  a 42  a 43  ,  A 22 ≡  a 44  a 45
                                                  a 51  a 52  a 53      a 54  a 55
                       of size 2×3, 2×2, 3× 3, 3× 2, respectively.
                          Basic operations with block matrices are practically the same as those with common
                       matrices, the role of the entries being played by blocks:
                       1. For matrices A ≡ [a ij ] ≡ [A αβ ]and B ≡ [b ij ] ≡ [B αβ ] of the same size and the same
                          block structure, their sum C ≡ [C αβ ]=[A αβ + B αβ ] is a matrix of the same size and
                          the same block structure.
                       2. For a matrix A ≡ [a ij ]of size m×n regarded as a block matrix A ≡ [A αβ ]of size M ×N,
                          the multiplication by a scalar is defined by λA =[λA αβ ]= [λa ij ].
                       3. Let A ≡ [a ik ] ≡ [A αγ ]and B ≡ [b kj ] ≡ [B γβ ] be two block matrices such that the
                          number of columns of each block A αγ is equal to the number of the rows of the
                          block B γβ . Then the product of the matrices A and B can be regarded as the block
                          matrix C ≡ [C αβ ]= [   γ  A αγ B γβ ].
                       4. For a matrix A ≡ [a ij ]of size m×n regarded as a block matrix A ≡ [A αβ ]of size M ×N,
                                                   T
                          the transpose has the form A =[A T  ].
                                                         βα
                       5. For a matrix A ≡ [a ij ]of size m×n regarded as a block matrix A ≡ [A αβ ]of size M ×N,
                                                       ∗
                          the adjoint matrix has the form A =[A ∗ βα ].
                          Let A be a nondegenerate matrix of size n × n represented as the block matrix

                                                     A ≡   A 11  A 12  ,
                                                           A 21  A 22
                       where A 11 and A 22 are square matrices of size p × p and q × q, respectively (p + q = n).
                       Then the following relations, called the Frobenius formulas, hold:
                                                  –1   –1          –1     –1
                                                       11
                                                                          11
                                          –1    A + A A 12 NA 21 A 11  –A A 12 N
                                                  11
                                        A   =                 –1                   ,
                                                      –NA 21 A 11          N
                                                    K             –KA 12 A –1
                                        A –1  =    –1         –1   –1     22   –1  .
                                                –A A 21 K   A + A A 21 KA 12 A 22
                                                                   22
                                                   22
                                                              22
                                                                   –1
                                           –1
                                                                         –1
                                                 –1
                       Here, N =(A 22 – A 21 A A 12 ) , K =(A 11 – A 12 A A 21 ) ;in the first formula, the matrix
                                           11
                                                                   22
                       A 11 is assumed nondegenerate, and in the second formula, A 22 is assumed nondegenerate.
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