| Exam Board | CAIE |
|---|---|
| Module | FP1 (Further Pure Mathematics 1) |
| Year | 2012 |
| Session | November |
| Paper | Download PDF ↗ |
| Mark scheme | Download PDF ↗ |
| Topic | 3x3 Matrices |
| Type | Range space basis and dimension |
| Difficulty | Challenging +1.2 This is a systematic Further Maths linear algebra question requiring row reduction to find rank (dimension), basis vectors for range and null space, and solving a system with parameters. While it involves multiple parts and Further Maths content, each step follows standard algorithms taught in FP1 with no novel insights required—making it moderately above average difficulty but well within reach of prepared students. |
| Spec | 4.03a Matrix language: terminology and notation4.03b Matrix operations: addition, multiplication, scalar4.03l Singular/non-singular matrices4.03r Solve simultaneous equations: using inverse matrix4.03s Consistent/inconsistent: systems of equations4.03t Plane intersection: geometric interpretation |
| Answer | Marks | Guidance |
|---|---|---|
| Answer/Working | Marks | Guidance |
| \(\alpha\) is a root \(\Rightarrow \alpha^4-3\alpha^2+5\alpha-2=0\) | ||
| \(\Rightarrow \alpha^{n+4}-3\alpha^{n+2}+5\alpha^{n+1}-2\alpha^n=0\) | M1 | Substitutes \(\alpha\) into equation, multiplies by \(\alpha^n\) |
| Repeat for \(\beta,\gamma,\delta\) and sum \(\Rightarrow S_{n+4}-3S_{n+2}+5S_{n+1}-2S_n=0\) (AG) | A1 | 2 |
| Answer | Marks | Guidance |
|---|---|---|
| Answer/Working | Marks | Guidance |
| \(S_2=0-2\times(-3)=6\) | B1 | Uses \(\sum\alpha^2=\left(\sum\alpha\right)^2-2\sum\alpha\beta\) |
| \(S_4=3\times6-5\times0+2\times4=26\) | M1A1 | 3 |
| Answer | Marks | Guidance |
|---|---|---|
| Answer/Working | Marks | Guidance |
| \(S_{-1}=\frac{\sum\alpha\beta\gamma}{\alpha\beta\gamma\delta}=\frac{-5}{-2}=\frac{5}{2}\) | M1A1 | Uses \(S_{-1}=\frac{\sum\alpha\beta\gamma}{\alpha\beta\gamma\delta}\) |
| \(S_3=3\times0-5\times4+2\times\frac{5}{2}=-15\) | M1A1 | Finds \(S_3\) from formula |
| \(S_5=3\times(-15)-5\times6+2\times0=-75\) | M1A1 | 6 |
| Answer/Working | Marks | Guidance |
| \(\sum\alpha^2\beta^3=S_2S_3-S_5\) | M1 | |
| \(=6\times(-15)-(-75)=-15\) | M1A1 | 3 |
| Answer | Marks | Guidance |
|---|---|---|
| Answer | Marks | Guidance |
| Reduces M to echelon form: \(\begin{pmatrix} 2 & 1 & -1 & 4 \\ 3 & 4 & 6 & 1 \\ -1 & 2 & 8 & -7 \end{pmatrix} \rightarrow \ldots \rightarrow \begin{pmatrix} 2 & 1 & -1 & 4 \\ 0 & 1 & 3 & -2 \\ 0 & 0 & 0 & 0 \end{pmatrix}\) | M1A1 | |
| \(\text{Dim}(\mathbf{M}) = 4 - 2 = 2\) | A1 | Uses dimension theorem |
| Answer | Marks | Guidance |
|---|---|---|
| Answer | Marks | Guidance |
| Basis for \(R\) is \(\left\{ \begin{pmatrix} 2 \\ 3 \\ -1 \end{pmatrix}, \begin{pmatrix} 1 \\ 4 \\ 2 \end{pmatrix} \right\}\) | B1 | OE |
| \(x = 2\lambda + \mu\), \(y = 3\lambda + 4\mu\), \(z = -\lambda + 2\mu \Rightarrow 2x - y + z = 0\) | M1A1 | Finds Cartesian equation for \(R\) |
| Answer | Marks | Guidance |
|---|---|---|
| Answer | Marks | Guidance |
| \(2x + y - z + 4t = 0\), \(y + 3z - 2t = 0\), \(t = \lambda\) and \(z = \mu\), \(\Rightarrow y = 2\lambda - 3\mu\) and \(x = -3\lambda + 2\mu\) | M1 | Finds basis for null space |
| \(\Rightarrow\) Basis of null space is \(\left\{ \begin{pmatrix} -3 \\ 2 \\ 0 \\ 1 \end{pmatrix}, \begin{pmatrix} 2 \\ -3 \\ 1 \\ 0 \end{pmatrix} \right\}\) | A1A1 | OE |
| \(2 \times 8 - 7 + k = 0 \Rightarrow k = -9\) | B1 | Evaluates \(k\) |
| \(5\begin{pmatrix} 2 \\ 3 \\ -1 \end{pmatrix} - 2\begin{pmatrix} 1 \\ 4 \\ 2 \end{pmatrix} = \begin{pmatrix} 8 \\ 7 \\ -9 \end{pmatrix}\) | M1A1 | OE, via equations — finds particular solution |
| \(\mathbf{x} = \begin{pmatrix} 5 \\ -2 \\ 0 \\ 0 \end{pmatrix} + \lambda\begin{pmatrix} -3 \\ 2 \\ 0 \\ 1 \end{pmatrix} + \mu\begin{pmatrix} 2 \\ -3 \\ 1 \\ 0 \end{pmatrix}\) | M1A1 | Finds general solution |
# Question 11:
## Recurrence relation (2 marks):
| Answer/Working | Marks | Guidance |
|---|---|---|
| $\alpha$ is a root $\Rightarrow \alpha^4-3\alpha^2+5\alpha-2=0$ | | |
| $\Rightarrow \alpha^{n+4}-3\alpha^{n+2}+5\alpha^{n+1}-2\alpha^n=0$ | M1 | Substitutes $\alpha$ into equation, multiplies by $\alpha^n$ |
| Repeat for $\beta,\gamma,\delta$ and sum $\Rightarrow S_{n+4}-3S_{n+2}+5S_{n+1}-2S_n=0$ (AG) | A1 | 2 | |
## Part (i) — Finding $S_4$ (3 marks):
| Answer/Working | Marks | Guidance |
|---|---|---|
| $S_2=0-2\times(-3)=6$ | B1 | Uses $\sum\alpha^2=\left(\sum\alpha\right)^2-2\sum\alpha\beta$ |
| $S_4=3\times6-5\times0+2\times4=26$ | M1A1 | 3 | Finds $S_4$ from formula |
## Part (ii) — Finding $\sum\alpha^2\beta^3$ (6 marks):
| Answer/Working | Marks | Guidance |
|---|---|---|
| $S_{-1}=\frac{\sum\alpha\beta\gamma}{\alpha\beta\gamma\delta}=\frac{-5}{-2}=\frac{5}{2}$ | M1A1 | Uses $S_{-1}=\frac{\sum\alpha\beta\gamma}{\alpha\beta\gamma\delta}$ |
| $S_3=3\times0-5\times4+2\times\frac{5}{2}=-15$ | M1A1 | Finds $S_3$ from formula |
| $S_5=3\times(-15)-5\times6+2\times0=-75$ | M1A1 | 6 | Finds $S_5$ from formula |
| Answer/Working | Marks | Guidance |
|---|---|---|
| $\sum\alpha^2\beta^3=S_2S_3-S_5$ | M1 | |
| $=6\times(-15)-(-75)=-15$ | M1A1 | 3 | **[14]** |
# Question 11 (OR):
## Part (i):
| Answer | Marks | Guidance |
|--------|-------|----------|
| Reduces **M** to echelon form: $\begin{pmatrix} 2 & 1 & -1 & 4 \\ 3 & 4 & 6 & 1 \\ -1 & 2 & 8 & -7 \end{pmatrix} \rightarrow \ldots \rightarrow \begin{pmatrix} 2 & 1 & -1 & 4 \\ 0 & 1 & 3 & -2 \\ 0 & 0 & 0 & 0 \end{pmatrix}$ | M1A1 | |
| $\text{Dim}(\mathbf{M}) = 4 - 2 = 2$ | A1 | Uses dimension theorem |
## Part (ii):
| Answer | Marks | Guidance |
|--------|-------|----------|
| Basis for $R$ is $\left\{ \begin{pmatrix} 2 \\ 3 \\ -1 \end{pmatrix}, \begin{pmatrix} 1 \\ 4 \\ 2 \end{pmatrix} \right\}$ | B1 | OE |
| $x = 2\lambda + \mu$, $y = 3\lambda + 4\mu$, $z = -\lambda + 2\mu \Rightarrow 2x - y + z = 0$ | M1A1 | Finds Cartesian equation for $R$ |
## Part (iii):
| Answer | Marks | Guidance |
|--------|-------|----------|
| $2x + y - z + 4t = 0$, $y + 3z - 2t = 0$, $t = \lambda$ and $z = \mu$, $\Rightarrow y = 2\lambda - 3\mu$ and $x = -3\lambda + 2\mu$ | M1 | Finds basis for null space |
| $\Rightarrow$ Basis of null space is $\left\{ \begin{pmatrix} -3 \\ 2 \\ 0 \\ 1 \end{pmatrix}, \begin{pmatrix} 2 \\ -3 \\ 1 \\ 0 \end{pmatrix} \right\}$ | A1A1 | OE |
| $2 \times 8 - 7 + k = 0 \Rightarrow k = -9$ | B1 | Evaluates $k$ |
| $5\begin{pmatrix} 2 \\ 3 \\ -1 \end{pmatrix} - 2\begin{pmatrix} 1 \\ 4 \\ 2 \end{pmatrix} = \begin{pmatrix} 8 \\ 7 \\ -9 \end{pmatrix}$ | M1A1 | OE, via equations — finds particular solution |
| $\mathbf{x} = \begin{pmatrix} 5 \\ -2 \\ 0 \\ 0 \end{pmatrix} + \lambda\begin{pmatrix} -3 \\ 2 \\ 0 \\ 1 \end{pmatrix} + \mu\begin{pmatrix} 2 \\ -3 \\ 1 \\ 0 \end{pmatrix}$ | M1A1 | Finds general solution |
**Total: [14]**
The linear transformation $\mathrm { T } : \mathbb { R } ^ { 4 } \rightarrow \mathbb { R } ^ { 3 }$ is represented by the matrix $\mathbf { M }$, where
$$\mathbf { M } = \left( \begin{array} { r r r r }
2 & 1 & - 1 & 4 \\
3 & 4 & 6 & 1 \\
- 1 & 2 & 8 & - 7
\end{array} \right)$$
The range space of T is $R$. In any order,\\
(i) show that the dimension of $R$ is 2 ,\\
(ii) find a basis for $R$ and obtain a cartesian equation for $R$,\\
(iii) find a basis for the null space of T .
The vector $\left( \begin{array} { l } 8 \\ 7 \\ k \end{array} \right)$ belongs to $R$. Find the value of $k$ and, with this value of $k$, find the general solution of
$$\mathbf { M } \mathbf { x } = \left( \begin{array} { l }
8 \\
7 \\
k
\end{array} \right) .$$
\hfill \mbox{\textit{CAIE FP1 2012 Q11 OR}}