`color{green} ✍️` A matrix having `m` rows and `n` columns is called a matrix of order `color{red}{m × n}` or simply `m × n` matrix (read as an m by n matrix).
`color{green} ✍️` In Fig the examples of matrices is shown
`color{green} ✍️`, we have `A = [(-2,5,1),(1,2,9)]` as `color{green}{2× 3}`
Matrix `B = [(1,2,3),(4,5,6),(7,8,9)]` as `3 × 3` matrix.
`color{green} ✍️` Thus the `i^(th)` row consist of the elements `a_(i1),a_(i2),a_(i3),..........,a_(in),` while the `j^(th)` column consists of the elements `a_(1j),a_(2j),a_(3j),..........,a_(mj),`
`color{blue}{Note :}` 1. We shall follow the notation, namely `A = [a_ij]_(m × n)` to indicate that `A` is a matrix of order `m × n.`
2. We shall consider only those matrices whose elements are real numbers or functions taking real values.
`color{green} ✍️` A matrix having `m` rows and `n` columns is called a matrix of order `color{red}{m × n}` or simply `m × n` matrix (read as an m by n matrix).
`color{green} ✍️` In Fig the examples of matrices is shown
`color{green} ✍️`, we have `A = [(-2,5,1),(1,2,9)]` as `color{green}{2× 3}`
Matrix `B = [(1,2,3),(4,5,6),(7,8,9)]` as `3 × 3` matrix.
`color{green} ✍️` Thus the `i^(th)` row consist of the elements `a_(i1),a_(i2),a_(i3),..........,a_(in),` while the `j^(th)` column consists of the elements `a_(1j),a_(2j),a_(3j),..........,a_(mj),`
`color{blue}{Note :}` 1. We shall follow the notation, namely `A = [a_ij]_(m × n)` to indicate that `A` is a matrix of order `m × n.`
2. We shall consider only those matrices whose elements are real numbers or functions taking real values.