Standard +0.8 This is a multi-part Further Maths question requiring proof of eigenvalue properties, computation of eigenvalues/eigenvectors, and matrix diagonalization. While the proof is straightforward application of definitions, finding the third eigenvector and constructing the diagonalization requires solid technique and several computational steps. The conceptual demand is moderate for FP1 level, placing it somewhat above average difficulty.
The vector \(\mathbf { e }\) is an eigenvector of each of the \(n \times n\) matrices \(\mathbf { A }\) and \(\mathbf { B }\), with corresponding eigenvalues \(\lambda\) and \(\mu\) respectively. Prove that \(\mathbf { e }\) is an eigenvector of the matrix \(\mathbf { A B }\) with eigenvalue \(\lambda \mu\).
It is given that the matrix \(\mathbf { A }\), where
$$\mathbf { A } = \left( \begin{array} { r r r }
3 & 2 & 2 \\
- 2 & - 2 & - 2 \\
1 & 2 & 2
\end{array} \right) ,$$
has eigenvectors \(\left( \begin{array} { r } 0 \\ 1 \\ - 1 \end{array} \right)\) and \(\left( \begin{array} { r } 1 \\ 0 \\ - 1 \end{array} \right)\). Find the corresponding eigenvalues.
Given that 2 is also an eigenvalue of \(\mathbf { A }\), find a corresponding eigenvector.
The matrix \(\mathbf { B }\), where
$$\mathbf { B } = \left( \begin{array} { r r r }
- 1 & 2 & 2 \\
2 & 2 & 2 \\
- 3 & - 6 & - 6
\end{array} \right) ,$$
has the same eigenvectors as \(\mathbf { A }\). Given that \(\mathbf { A B } = \mathbf { C }\), find a non-singular matrix \(\mathbf { P }\) and a diagonal matrix \(\mathbf { D }\) such that
$$\mathbf { P } ^ { - 1 } \mathbf { C } ^ { 2 } \mathbf { P } = \mathbf { D }$$
The vector $\mathbf { e }$ is an eigenvector of each of the $n \times n$ matrices $\mathbf { A }$ and $\mathbf { B }$, with corresponding eigenvalues $\lambda$ and $\mu$ respectively. Prove that $\mathbf { e }$ is an eigenvector of the matrix $\mathbf { A B }$ with eigenvalue $\lambda \mu$.
It is given that the matrix $\mathbf { A }$, where
$$\mathbf { A } = \left( \begin{array} { r r r }
3 & 2 & 2 \\
- 2 & - 2 & - 2 \\
1 & 2 & 2
\end{array} \right) ,$$
has eigenvectors $\left( \begin{array} { r } 0 \\ 1 \\ - 1 \end{array} \right)$ and $\left( \begin{array} { r } 1 \\ 0 \\ - 1 \end{array} \right)$. Find the corresponding eigenvalues.
Given that 2 is also an eigenvalue of $\mathbf { A }$, find a corresponding eigenvector.
The matrix $\mathbf { B }$, where
$$\mathbf { B } = \left( \begin{array} { r r r }
- 1 & 2 & 2 \\
2 & 2 & 2 \\
- 3 & - 6 & - 6
\end{array} \right) ,$$
has the same eigenvectors as $\mathbf { A }$. Given that $\mathbf { A B } = \mathbf { C }$, find a non-singular matrix $\mathbf { P }$ and a diagonal matrix $\mathbf { D }$ such that
$$\mathbf { P } ^ { - 1 } \mathbf { C } ^ { 2 } \mathbf { P } = \mathbf { D }$$
\hfill \mbox{\textit{CAIE FP1 2012 Q12 EITHER}}