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Matrices, Order of a Matrix, Row and Column Matrix is considered one of the most asked concept.
7 Questions around this concept.
The number of 3 x 3 non-singular matrices, with four entries as 1 and all other entries as 0, is
A rectangular arrangement of objects (numbers or symbols or any other objects) is called a matrix (plural: matrices).
Example:
1. $\left[\begin{array}{ccc}2 & 4 & -3 \\ 5 & 4 & 6\end{array}\right]$
2. $\left[\begin{array}{cc}2 & 4 i+3 \\ 5 & 4 \\ 3 i & -75\end{array}\right]$
$\left[\begin{array}{c}2 \\ -5 \\ 3 i \\ 71\end{array}\right]$
Order of Matrix
Rows and Columns:
The horizontal objects denote a row and the vertical ones denote a column.
Eg, in the first matrix above, elements 2, 4 and -3 lie in the first row and 5, 4 and 6 in the second row
Also, 2, 5, lie in the first column, 4,4 in the second column, and -3, and 6 in the third column
Order of a matrix:
Matrix of order m × n, (read as m by n matrix) means that the matrix has m number of rows and n number of columns.
E.g.,
The first matrix has order 2 x 3
The second matrix has order 3 x 2
The third matrix has order 4 x 1
Representation of a m x n matrix:
$\left[\begin{array}{cccc}a_{11} & a_{12} & \ldots & a_{1 n} \\ a_{21} & a_{22} & \ldots & a_{2 n} \\ \ldots & \ldots & \ldots & \ldots \\ a_{m 1} & a_{m 2} & \ldots & a_{m n}\end{array}\right]$
This representation can be represented in a more compact form as $\left[a_{i j}\right]_{m \times n}$
Where $a_{i j}$ represents the element of ith row and jth column and i = 1,2,...,m; j = 1,2,...,n.
For example, to locate the entry in matrix A identified as aij, we look for the entry in row i, column j. In matrix A, shown below, the entry in row 2, column 3 is a23.
$A=\left[\begin{array}{lll}a_{11} & a_{12} & a_{13} \\ a_{21} & a_{22} & a_{23} \\ a_{31} & a_{32} & a_{33}\end{array}\right]$
Note:
Matrix is only a representation of the symbol, number or object. It does not have any value. Usually, a matrix is denoted by capital letters.
Types of Matrices
Row matrix: A matrix containing only one row is called a row matrix. So a matrix $\mathrm{A}=\left[\mathrm{a}_{\mathrm{ij}}\right]_{\mathrm{m} \times \mathrm{n}}$ is said to be a row matrix when m = 1.
It can be denoted by
$\left[\begin{array}{llllll}a_{11} & a_{12} & a_{13} & \ldots & \ldots & a_{1 n}\end{array}\right]_{1 \times \mathrm{n}}$
Eg,
[ 1 32 81 -32 ] has only 1 row. It has order 1 x 4
Column matrix: A matrix containing only one column is known as a column matrix. So a matrix $\mathrm{A}=\left[\mathrm{a}_{\mathrm{ij}}\right]_{\mathrm{m} \times \mathrm{n}}$ is said to be a column matrix when n = 1.
It is denoted by
$
\left[\begin{array}{c}
a_{11} \\
a_{21} \\
a_{31} \\
\cdots \\
\cdots \\
a_{m 1}
\end{array}\right]_{\mathrm{m} \times 1}
$
Eg,
$
\left[\begin{array}{c}
2 \\
32 \\
3 \\
7
\end{array}\right]
$
This matrix has order 4 x 1
Note:
A matrix that contains only one row or one column is also known as a vector i.e. row vectors and column vectors.
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