Step 1: The matrix is:
\( \begin{pmatrix} e^t & e^{-t}( \sin t - 2 \cos t ) & e^{-t}( -2 \sin t + \cos t ) \\ e^t & e^{-t}( 2 \sin t + \cos t ) & e^{-t}( \sin t - 2 \cos t ) \\ e^t & e^{-t} \cos t & e^{-t} \sin t \\ \end{pmatrix} \)
For invertibility, the determinant should be non-zero:
\( \det\left( e^t \cdot e^{-t} \cdot e^{-t} \right) = \det \left( \begin{matrix} \sin t - 2 \cos t & -2 \sin t + \cos t \\ 2 \sin t + \cos t & \sin t - 2 \cos t \\ \cos t & \sin t \\ \end{matrix} \right) \)
This simplifies to:
\( e^t \cdot e^{-t} \cdot e^{-t} \neq 0 \)
Step 2: Applying the row operations: \( R_1 \rightarrow R_1 - R_2 \), \( R_2 \rightarrow R_2 - R_3 \)
We get:
\( e^{-t} \cdot \begin{pmatrix} 0 & -\sin t - \cos t & -3 \sin t + \cos t \\ 0 & 2 \sin t & -2 \cos t \\ 1 & \cos t & \sin t \\ \end{pmatrix} \neq 0 \)
Step 3: Now, expand the determinant:
\( e^{-t} \times 1 \left( 2 \sin t \cos t + 6 \cos^2 t + 6 \sin^2 t - 2 \sin t \cos t \right) \neq 0 \)
Conclusion: Therefore, we have:
\( e^{-t} \times 6 \neq 0 \)
Thus, the matrix is invertible for all values of \( t \in \mathbb{R} \).
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.