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Matrices



                    The second case. ∆ = 0. Suppose at least one of the auxiliary determinants ∆ 1 , ∆ 2 , ∆ 3 doesn’t equal to
                 zero. In that case at least one of the equalities (1.7) will be impossible, meaning that system (1.7) and (1.6)
                 have no solution. In case if ∆ = ∆ 1 = ∆ 2 = ∆ 3 = 0 then the system either doesn’t have any solution or
                 has lot’s of them. It’s recommended to study this case individually.





                                         Lecture 2. Matrices




                     2.1. Definition of a matrix


               A set of numbers a ij , located in a rectangular table, that consists of mrows and n columns, is
               called a matrix. Numbers a ij are called as elements or entries of a matrix. A matrix is denoted
                                                                         
                                                       a 11  a 12  . . . a 1n
                                                      a 21  a 22  . . . a 2n  
               by a capital letter A, B, C, etc: A =                       . The size of the above matrix
                                                      . . .  . . .  . . .  . . .  
                                                      a m1 a m2 . . . a mn
               is m × n. Like in a determinant, each element of a matrix has its own place, marked by double
               indexation (i — the row number, j — the column number).
                   Supposing m = 1, we have a matrix-row: A = (a 11 a 12 . . . a 1n ); n = 1, we have a matrix -
                                                                                                   
                               a 11                                                 a 11 a 12 . . . a 1n
                               a 21                                               a 21 a 22 . . . a 2n  
               column: A =         . When m = n, we have a square matrix: A =                       .
                               . . .                                             . . .  . . . . . . . . .  
                               a m1                                                 a n1 a n2 . . . a nn
                   A square matrix can be matched with a determinant, which is written:



                                                       a 11 a 12 . . . a 1n

                                                        a 21 a 22 . . . a 2n
                                              det A =                      .
                                                        . . .  . . . . . . . . .


                                                       a n1 a n2 . . . a nn
                   When det A ̸= 0, the matrix is called a nonsingular matrix, and a singular one on the contrary.
                   The main diagonal of a matrix consists of elements with equal indexes a 11 , a 22 , . . . , a nn .
               These elements are called as diagonal in any matrix.
                   A square matrix, which consists of diagonal elements not equal to zero, and other elements
               equal to zero, is called a diagonal matrix:

                                                                       
                                                            0   . . .  0
                                                      a 11
                                                      0   a 22 . . .  0  
                                               A =                       .
                                                     . . . . . . . . . . . .  
                                                       0   . . . . . . a nn

               When all diagonal elements of such a matrix are equal to unity, then a diagonal matrix transforms
               into a unit matrix, which is denoted by

                                                                      
                                                       1    0   . . .  0
                                                      0    1   . . .  0  
                                               E =                      .
                                                      . . . . . . . . . . . .
                                                                      
                                                       0    0   . . .  1

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