To solve the problem, we need to determine the values of \( x \) and \( y \) that satisfy the equation \( (A^{15} + B) \begin{bmatrix} x \\ y \end{bmatrix} = \begin{bmatrix} 0 \\ 0 \end{bmatrix} \) given the matrices:
| \( A = \begin{bmatrix} 3 & -4 \\ 1 & -1 \end{bmatrix} \) | \( B = \begin{bmatrix} -29 & 49 \\ -13 & 18 \end{bmatrix} \) \) |
First, check the properties of matrix \( A \) to determine \( A^{15} \).
The key observation is to note if \( A \) is diagonalizable. However, it's easier to explore \( A^2 \) to see any emergent pattern since calculating high powers directly is not feasible.
Compute \( A^2 \):
\( A^2 = A \times A = \begin{bmatrix} 3 & -4 \\ 1 & -1 \end{bmatrix} \times \begin{bmatrix} 3 & -4 \\ 1 & -1 \end{bmatrix} \)
Perform the multiplication:
Thus, \( A^2 = \begin{bmatrix} 5 & -8 \\ 2 & -3 \end{bmatrix} \).
For simplicity, consider reducing further to find patterns for \( A^n \), but due to complexity, assume an eigenvalue approach if not simplified directly.
However, proceeding directly to the problem requirement:
Substitute actual values if \( A^{15} + B = 0 \) potentially hold or eigen-property directions guide trivial solutions \( \begin{bmatrix} x \\ y \end{bmatrix} \). Given the complexity, we rely on trial verification due to lack of direct merging simplification & power properties lower index proofs directly.
Among options given:
Thus, verified through back-test exploration, the correct solution is:
The correct option is: \(x = 11, y = 2\)
If A and B are two n times n non-singular matrices, then
Identify A in the following reaction. 