If \(A = \begin{bmatrix} 4 & 2 \\[0.3em] -3 & 3 \end{bmatrix}\), then \(A^{-1} =\)
Let’s verify by using the identity \( A^{-1} = \frac{1}{\text{det}(A)} \cdot \text{adj}(A) \).
Given \(A = \begin{bmatrix} 4 & 2 \\[0.3em] -3 & 3 \end{bmatrix}\)
Determinant of A: \[ \text{det}(A) = (4)(3) - (-3)(2) = 12 + 6 = 18 \]
Adjoint of A: \(\text{adj}(A) = \begin{bmatrix} 3 & -2 \\[0.3em] 3 & 4 \end{bmatrix}\)
Thus,\(A^{-1} = \frac{1}{18} \begin{bmatrix} 3 & -2 \\[0.3em] 3 & 4 \end{bmatrix}\)
Now checking:
So: \(A^{-1} = \frac{1}{18}(7I - A)\)
A store has been selling calculators at Rs. 350 each. A market survey indicates that a reduction in price (\( p \)) of calculators increases the number of units (\( x \)) sold. The relation between the price and quantity sold is given by the demand function:
\[ p = 450 - \frac{x}{2}. \]
Based on the above information, answer the following questions:
Let a random variable \( X \) follow Poisson distribution such that \( P(X = 0) = 2P(X = 1) \). Then, P(X = 3) = ______
The probability distribution of a random variable \( X \) is given as follows. Then, \( P(X = 50) - \frac{P(X \leq 30)}{P(X \geq 20)} \) =