The correct answer is (B) : 120
Step 1: Understand the structure of a permutation matrix
A permutation matrix is a square matrix where:
For a 5 × 5 permutation matrix, this means:
Example of a 5 × 5 permutation matrix:
\[ \begin{bmatrix} 1 & 0 & 0 & 0 & 0 \\ 0 & 1 & 0 & 0 & 0 \\ 0 & 0 & 0 & 1 & 0 \\ 0 & 0 & 1 & 0 & 0 \\ 0 & 0 & 0 & 0 & 1 \end{bmatrix} \]
Step 2: Count the total number of permutation matrices
To construct a permutation matrix of order 5, we need to:
This is equivalent to arranging 5 elements (columns) in all possible orders, which is the number of permutations of 5 objects.
The total number of permutations of \( n \) objects is given by:
\[ n! = n \times (n - 1) \times (n - 2) \times \dots \times 1. \] For \( n = 5 \): \[ 5! = 5 \times 4 \times 3 \times 2 \times 1 = 120. \]
Thus, there are 120 distinct 5 × 5 permutation matrices.
Step 3: Verify conditions
Let's verify that each matrix satisfies the given conditions:
Therefore, all 120 matrices satisfy the given conditions.
If \[ A = \begin{bmatrix} 1 & 2 & 0 \\ -2 & -1 & -2 \\ 0 & -1 & 1 \end{bmatrix} \] then find \( A^{-1} \). Hence, solve the system of linear equations: \[ x - 2y = 10, \] \[ 2x - y - z = 8, \] \[ -2y + z = 7. \]
In the given circuit the sliding contact is pulled outwards such that the electric current in the circuit changes at the rate of 8 A/s. At an instant when R is 12 Ω, the value of the current in the circuit will be A.
Let $ P_n = \alpha^n + \beta^n $, $ n \in \mathbb{N} $. If $ P_{10} = 123,\ P_9 = 76,\ P_8 = 47 $ and $ P_1 = 1 $, then the quadratic equation having roots $ \alpha $ and $ \frac{1}{\beta} $ is:
For $ \alpha, \beta, \gamma \in \mathbb{R} $, if $$ \lim_{x \to 0} \frac{x^2 \sin \alpha x + (\gamma - 1)e^{x^2} - 3}{\sin 2x - \beta x} = 3, $$ then $ \beta + \gamma - \alpha $ is equal to:
A matrix is a rectangular array of numbers, variables, symbols, or expressions that are defined for the operations like subtraction, addition, and multiplications. The size of a matrix is determined by the number of rows and columns in the matrix.