Standard +0.3 This is a straightforward eigenvalue/eigenvector question with a given eigenvalue (eliminating the characteristic equation step). Finding the eigenvector requires solving a system of linear equations, which is routine. The second part uses the standard result that if λ is an eigenvalue of A with eigenvector v, then λ + λ² is an eigenvalue of A + A² with the same eigenvector—this is a direct application of a known theorem requiring minimal additional work.
1 Given that 5 is an eigenvalue of the matrix
$$\mathbf { A } = \left( \begin{array} { r r r }
5 & - 3 & 0 \\
1 & 2 & 1 \\
- 1 & 3 & 4
\end{array} \right)$$
find a corresponding eigenvector.
Hence find an eigenvalue and a corresponding eigenvector of the matrix \(\mathbf { A } + \mathbf { A } ^ { 2 }\).
1 Given that 5 is an eigenvalue of the matrix
$$\mathbf { A } = \left( \begin{array} { r r r }
5 & - 3 & 0 \\
1 & 2 & 1 \\
- 1 & 3 & 4
\end{array} \right)$$
find a corresponding eigenvector.
Hence find an eigenvalue and a corresponding eigenvector of the matrix $\mathbf { A } + \mathbf { A } ^ { 2 }$.
\hfill \mbox{\textit{CAIE FP1 2010 Q1 [4]}}