Standard +0.3 This is a standard Further Maths eigenvalue/eigenvector question with straightforward calculations. Finding eigenvectors from given eigenvalues is routine (solve (A-λI)v=0), verifying an eigenvector requires simple matrix multiplication, and constructing the diagonalization P^{-1}AP=D follows a standard algorithm. The 3×3 matrix adds minor computational complexity but no conceptual challenge beyond typical FP1 level.
The matrix \(\mathbf{A}\), where
$$\mathbf{A} = \begin{pmatrix} 1 & 0 & 0 \\ 10 & -7 & 10 \\ 7 & -5 & 8 \end{pmatrix},$$
has eigenvalues 1 and 3. Find corresponding eigenvectors. [3]
It is given that \(\begin{pmatrix} 0 \\ 2 \\ 1 \end{pmatrix}\) is an eigenvector of \(\mathbf{A}\). Find the corresponding eigenvalue. [2]
Find a diagonal matrix \(\mathbf{D}\) and matrices \(\mathbf{P}\) and \(\mathbf{P}^{-1}\) such that \(\mathbf{P}^{-1}\mathbf{A}\mathbf{P} = \mathbf{D}\). [5]
The matrix $\mathbf{A}$, where
$$\mathbf{A} = \begin{pmatrix} 1 & 0 & 0 \\ 10 & -7 & 10 \\ 7 & -5 & 8 \end{pmatrix},$$
has eigenvalues 1 and 3. Find corresponding eigenvectors. [3]
It is given that $\begin{pmatrix} 0 \\ 2 \\ 1 \end{pmatrix}$ is an eigenvector of $\mathbf{A}$. Find the corresponding eigenvalue. [2]
Find a diagonal matrix $\mathbf{D}$ and matrices $\mathbf{P}$ and $\mathbf{P}^{-1}$ such that $\mathbf{P}^{-1}\mathbf{A}\mathbf{P} = \mathbf{D}$. [5]
\hfill \mbox{\textit{CAIE FP1 2015 Q6 [10]}}