CAIE FP1 2016 November — Question 3 7 marks

Exam BoardCAIE
ModuleFP1 (Further Pure Mathematics 1)
Year2016
SessionNovember
Marks7
PaperDownload PDF ↗
Mark schemeDownload PDF ↗
TopicInvariant lines and eigenvalues and vectors
TypeFind matrix A given eigenvalues and eigenvectors
DifficultyStandard +0.3 This is a straightforward application of the diagonalization formula A = PDP^(-1), where students construct P from given eigenvectors and D from given eigenvalues, then perform matrix multiplication. While it involves 3×3 matrices and matrix inversion, it's a standard textbook exercise requiring only routine procedures with no problem-solving insight needed, making it slightly easier than average.
Spec4.03a Matrix language: terminology and notation

3 Find a matrix \(\mathbf { A }\) whose eigenvalues are \(- 1,1,2\) and for which corresponding eigenvectors are $$\left( \begin{array} { l } 1 \\ 0 \\ 0 \end{array} \right) , \quad \left( \begin{array} { l } 1 \\ 1 \\ 0 \end{array} \right) , \quad \left( \begin{array} { l } 0 \\ 1 \\ 1 \end{array} \right) ,$$ respectively.

Question 3:
AnswerMarks Guidance
Answer/WorkingMarks Guidance
\(\mathbf{P} = \begin{pmatrix}1&1&0\\0&1&1\\0&0&1\end{pmatrix}\), \(\mathbf{D} = \begin{pmatrix}-1&0&0\\0&1&0\\0&0&2\end{pmatrix}\)B1B1 soi
\(\mathbf{P}^{-1}\mathbf{A}\mathbf{P} = \mathbf{D} \Rightarrow \mathbf{A} = \mathbf{P}\mathbf{D}\mathbf{P}^{-1}\)M1 soi
\(\mathbf{P}^{-1} = \begin{pmatrix}1&-1&1\\0&1&-1\\0&0&1\end{pmatrix}\)M1A1
\(\mathbf{PD} = \begin{pmatrix}-1&1&0\\0&1&2\\0&0&2\end{pmatrix}\) or \(\mathbf{DP}^{-1} = \begin{pmatrix}-1&1&-1\\0&1&-1\\0&0&2\end{pmatrix}\)M1
\(\mathbf{A} = \begin{pmatrix}-1&2&-2\\0&1&1\\0&0&2\end{pmatrix}\)A1 [7]
ALT: \(Av_1=-v_1,\ Av_2=v_2,\ Av_3=2v_3\) M1, A1; multiply out, solve each equation M1, A1, A1, A1; \(\mathbf{A}=\begin{pmatrix}-1&2&-2\\0&1&1\\0&0&2\end{pmatrix}\) B1\(\checkmark\)
## Question 3:

| Answer/Working | Marks | Guidance |
|---|---|---|
| $\mathbf{P} = \begin{pmatrix}1&1&0\\0&1&1\\0&0&1\end{pmatrix}$, $\mathbf{D} = \begin{pmatrix}-1&0&0\\0&1&0\\0&0&2\end{pmatrix}$ | B1B1 | soi |
| $\mathbf{P}^{-1}\mathbf{A}\mathbf{P} = \mathbf{D} \Rightarrow \mathbf{A} = \mathbf{P}\mathbf{D}\mathbf{P}^{-1}$ | M1 | soi |
| $\mathbf{P}^{-1} = \begin{pmatrix}1&-1&1\\0&1&-1\\0&0&1\end{pmatrix}$ | M1A1 | |
| $\mathbf{PD} = \begin{pmatrix}-1&1&0\\0&1&2\\0&0&2\end{pmatrix}$ or $\mathbf{DP}^{-1} = \begin{pmatrix}-1&1&-1\\0&1&-1\\0&0&2\end{pmatrix}$ | M1 | |
| $\mathbf{A} = \begin{pmatrix}-1&2&-2\\0&1&1\\0&0&2\end{pmatrix}$ | A1 | [7] |
| ALT: $Av_1=-v_1,\ Av_2=v_2,\ Av_3=2v_3$ **M1, A1**; multiply out, solve each equation **M1, A1, A1, A1**; $\mathbf{A}=\begin{pmatrix}-1&2&-2\\0&1&1\\0&0&2\end{pmatrix}$ **B1**$\checkmark$ | | |

---
3 Find a matrix $\mathbf { A }$ whose eigenvalues are $- 1,1,2$ and for which corresponding eigenvectors are

$$\left( \begin{array} { l } 
1 \\
0 \\
0
\end{array} \right) , \quad \left( \begin{array} { l } 
1 \\
1 \\
0
\end{array} \right) , \quad \left( \begin{array} { l } 
0 \\
1 \\
1
\end{array} \right) ,$$

respectively.

\hfill \mbox{\textit{CAIE FP1 2016 Q3 [7]}}