CAIE FP1 2012 June — Question 7 10 marks

Exam BoardCAIE
ModuleFP1 (Further Pure Mathematics 1)
Year2012
SessionJune
Marks10
PaperDownload PDF ↗
Mark schemeDownload PDF ↗
Topic3x3 Matrices
TypeRank and null space basis
DifficultyChallenging +1.2 This question requires row reduction of 4×4 matrices to find null spaces, determining dimensions via rank-nullity theorem, and solving homogeneous systems. While involving multiple steps and Further Maths content, the techniques are systematic and procedural—row reduction, back-substitution, and verifying subspace inclusion. The specified basis form guides the solution. Moderately above average due to matrix size and Further Maths context, but lacks the conceptual depth or novel insight of truly challenging problems.
Spec4.03a Matrix language: terminology and notation4.03l Singular/non-singular matrices

7 The linear transformations \(\mathrm { T } _ { 1 } : \mathbb { R } ^ { 4 } \rightarrow \mathbb { R } ^ { 4 }\) and \(\mathrm { T } _ { 2 } : \mathbb { R } ^ { 4 } \rightarrow \mathbb { R } ^ { 4 }\) are represented by the matrices $$\mathbf { M } _ { 1 } = \left( \begin{array} { r r r r } 1 & 1 & 1 & 4 \\ 2 & 1 & 4 & 11 \\ 3 & 4 & 1 & 9 \\ 4 & - 3 & 18 & 37 \end{array} \right) \quad \text { and } \quad \mathbf { M } _ { 2 } = \left( \begin{array} { r r r r } 1 & 1 & 1 & - 1 \\ 2 & 3 & 0 & 1 \\ 3 & 4 & 1 & 0 \\ 4 & 5 & 2 & 0 \end{array} \right)$$ respectively. The null space of \(\mathrm { T } _ { 1 }\) is denoted by \(K _ { 1 }\) and the null space of \(\mathrm { T } _ { 2 }\) is denoted by \(K _ { 2 }\). Show that the dimension of \(K _ { 1 }\) is 2 and that the dimension of \(K _ { 2 }\) is 1 . Find the basis of \(K _ { 1 }\) which has the form \(\left\{ \left( \begin{array} { c } p \\ q \\ 1 \\ 0 \end{array} \right) , \left( \begin{array} { l } r \\ s \\ 0 \\ 1 \end{array} \right) \right\}\) and show that \(K _ { 2 }\) is a subspace of \(K _ { 1 }\).

Question 7:
Part: Reduces M₁ to echelon form
AnswerMarks
\(\begin{pmatrix}1&1&1&4\\2&1&4&11\\3&4&1&9\\4&-3&18&37\end{pmatrix}\rightarrow\cdots\rightarrow\begin{pmatrix}1&1&1&4\\0&-1&2&3\\0&0&0&0\\0&0&0&0\end{pmatrix}\)M1A1
Part: Finds Dim(K₁)
AnswerMarks Guidance
\(\text{Dim}(K_1) = 4 - 2 = 2\)A1 (AG)
Part: Reduces M₂ to echelon form
AnswerMarks Guidance
\(\begin{pmatrix}1&1&1&-1\\2&3&0&1\\3&4&1&0\\4&5&2&0\end{pmatrix}\rightarrow\cdots\rightarrow\begin{pmatrix}1&1&1&-1\\0&1&-2&3\\0&0&0&1\\0&0&0&0\end{pmatrix}\)A1 (aef)
Part: Finds Dim(K₂)
AnswerMarks Guidance
\(\text{Dim}(K_2) = 4 - 3 = 1\)A1 (AG)
Part: Obtains basis for K₁
\(x + y + z + 4t = 0\)
\(-y + 2z + 3t = 0\)
AnswerMarks Guidance
Legitimately obtains basis for \(K_1\) is \(\left\{\begin{pmatrix}-3\\2\\1\\0\end{pmatrix},\begin{pmatrix}-7\\3\\0\\1\end{pmatrix}\right\}\)M1, A1A1 (OE)
Part: Obtains basis for K₂
\(x + y + z - t = 0\)
\(y - 2z + 3t = 0\)
\(t = 0\)
AnswerMarks Guidance
Legitimately obtains basis for \(K_2\) is \(\left\{\begin{pmatrix}-3\\2\\1\\0\end{pmatrix}\right\}\)M1, A1 (OE) \(\Rightarrow K_2 \subset K_1\)
# Question 7:

## Part: Reduces M₁ to echelon form
$\begin{pmatrix}1&1&1&4\\2&1&4&11\\3&4&1&9\\4&-3&18&37\end{pmatrix}\rightarrow\cdots\rightarrow\begin{pmatrix}1&1&1&4\\0&-1&2&3\\0&0&0&0\\0&0&0&0\end{pmatrix}$ | M1A1 |

## Part: Finds Dim(K₁)
$\text{Dim}(K_1) = 4 - 2 = 2$ | A1 | (AG)

## Part: Reduces M₂ to echelon form
$\begin{pmatrix}1&1&1&-1\\2&3&0&1\\3&4&1&0\\4&5&2&0\end{pmatrix}\rightarrow\cdots\rightarrow\begin{pmatrix}1&1&1&-1\\0&1&-2&3\\0&0&0&1\\0&0&0&0\end{pmatrix}$ | A1 | (aef)

## Part: Finds Dim(K₂)
$\text{Dim}(K_2) = 4 - 3 = 1$ | A1 | (AG)

## Part: Obtains basis for K₁
$x + y + z + 4t = 0$
$-y + 2z + 3t = 0$
Legitimately obtains basis for $K_1$ is $\left\{\begin{pmatrix}-3\\2\\1\\0\end{pmatrix},\begin{pmatrix}-7\\3\\0\\1\end{pmatrix}\right\}$ | M1, A1A1 | (OE)

## Part: Obtains basis for K₂
$x + y + z - t = 0$
$y - 2z + 3t = 0$
$t = 0$
Legitimately obtains basis for $K_2$ is $\left\{\begin{pmatrix}-3\\2\\1\\0\end{pmatrix}\right\}$ | M1, A1 | (OE) $\Rightarrow K_2 \subset K_1$

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7 The linear transformations $\mathrm { T } _ { 1 } : \mathbb { R } ^ { 4 } \rightarrow \mathbb { R } ^ { 4 }$ and $\mathrm { T } _ { 2 } : \mathbb { R } ^ { 4 } \rightarrow \mathbb { R } ^ { 4 }$ are represented by the matrices

$$\mathbf { M } _ { 1 } = \left( \begin{array} { r r r r } 
1 & 1 & 1 & 4 \\
2 & 1 & 4 & 11 \\
3 & 4 & 1 & 9 \\
4 & - 3 & 18 & 37
\end{array} \right) \quad \text { and } \quad \mathbf { M } _ { 2 } = \left( \begin{array} { r r r r } 
1 & 1 & 1 & - 1 \\
2 & 3 & 0 & 1 \\
3 & 4 & 1 & 0 \\
4 & 5 & 2 & 0
\end{array} \right)$$

respectively. The null space of $\mathrm { T } _ { 1 }$ is denoted by $K _ { 1 }$ and the null space of $\mathrm { T } _ { 2 }$ is denoted by $K _ { 2 }$. Show that the dimension of $K _ { 1 }$ is 2 and that the dimension of $K _ { 2 }$ is 1 .

Find the basis of $K _ { 1 }$ which has the form $\left\{ \left( \begin{array} { c } p \\ q \\ 1 \\ 0 \end{array} \right) , \left( \begin{array} { l } r \\ s \\ 0 \\ 1 \end{array} \right) \right\}$ and show that $K _ { 2 }$ is a subspace of $K _ { 1 }$.

\hfill \mbox{\textit{CAIE FP1 2012 Q7 [10]}}
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