CAIE FP1 2012 November — Question 11 OR

Exam BoardCAIE
ModuleFP1 (Further Pure Mathematics 1)
Year2012
SessionNovember
PaperDownload PDF ↗
Mark schemeDownload PDF ↗
Topic3x3 Matrices
TypeRange space basis and dimension
DifficultyChallenging +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.
Spec4.03a 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

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,
  1. show that the dimension of \(R\) is 2 ,
  2. find a basis for \(R\) and obtain a cartesian equation for \(R\),
  3. 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 $$\mathbf { M } \mathbf { x } = \left( \begin{array} { l } 8 \\ 7 \\ k \end{array} \right) .$$

Question 11:
Recurrence relation (2 marks):
AnswerMarks Guidance
Answer/WorkingMarks 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):
AnswerMarks Guidance
Answer/WorkingMarks 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
Part (ii) — Finding \(\sum\alpha^2\beta^3\) (6 marks):
AnswerMarks Guidance
Answer/WorkingMarks 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/WorkingMarks Guidance
\(\sum\alpha^2\beta^3=S_2S_3-S_5\)M1
\(=6\times(-15)-(-75)=-15\)M1A1 3
Question 11 (OR):
Part (i):
AnswerMarks Guidance
AnswerMarks 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):
AnswerMarks Guidance
AnswerMarks 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):
AnswerMarks Guidance
AnswerMarks 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]
# 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}}