
1. Compute the eigenvalues \( \lambda \) of \( A \) from \( \det(A - \lambda I) = 0 \):
\[ \begin{vmatrix} 1 - \lambda & 2 \\ 2 & -1 - \lambda \end{vmatrix} = 0 \] Expanding: \[ (1 - \lambda)(-1 - \lambda) - (2 \times 2) = 0 \] \[ -1 - \lambda + \lambda + \lambda^2 - 4 = 0 \] \[ \lambda^2 - 5 = 0 \] \[ \lambda = \pm \sqrt{5} \]2. The matrix \( A \) is diagonalizable as \( A = P D P^{-1} \), where:
\[ D = \begin{pmatrix} \sqrt{5} & 0 \\ 0 & -\sqrt{5} \end{pmatrix} \] Then: \[ A^8 = P D^8 P^{-1} \] Since \( D^8 = \begin{pmatrix} (\sqrt{5})^8 & 0 \\ 0 & (-\sqrt{5})^8 \end{pmatrix} = \begin{pmatrix} 625 & 0 \\ 0 & 625 \end{pmatrix} \), We get: \[ A^8 = \begin{pmatrix} 625 & 0 \\ 0 & 625 \end{pmatrix} \]Thus, the correct answer is (C).