OCR Further Pure Core AS 2024 June — Question 8 10 marks

Exam BoardOCR
ModuleFurther Pure Core AS (Further Pure Core AS)
Year2024
SessionJune
Marks10
PaperDownload PDF ↗
Mark schemeDownload PDF ↗
TopicLinear transformations
TypeCommutativity of transformations
DifficultyStandard +0.3 This is a straightforward Further Maths question on matrix transformations covering standard operations: finding matrix inverse (2×2 formula), checking commutativity by multiplication, applying associativity property, and using determinants for area scaling. All parts are routine applications of well-practiced techniques with no novel problem-solving required. While it's Further Maths content, the mechanical nature and step-by-step structure make it easier than average overall.
Spec4.03b Matrix operations: addition, multiplication, scalar4.03c Matrix multiplication: properties (associative, not commutative)4.03o Inverse 3x3 matrix

8 Three transformations, \(T _ { A } , T _ { B }\) and \(T _ { C }\), are represented by the matrices \(A , B\) and \(\mathbf { C }\) respectively. You are given that \(\mathbf { A } = \left( \begin{array} { l l } 1 & 0 \\ 2 & 3 \end{array} \right)\) and \(\mathbf { B } = \left( \begin{array} { c c } 1 & 0 \\ 0 & - 1 \end{array} \right)\).
  1. Find the matrix which represents the inverse transformation of \(T _ { A }\).
  2. By considering matrix multiplication, determine whether \(T _ { A }\) followed by \(T _ { B }\) is the same transformation as \(T _ { B }\) followed by \(T _ { A }\). Transformations R and S are each defined as being the result of successive transformations, as specified in the table.
    TransformationFirst transformationfollowed by
    R\(\mathrm { T } _ { \mathrm { A } }\) followed by \(\mathrm { T } _ { \mathrm { B } }\)\(\mathrm { T } _ { \mathrm { C } }\)
    S\(\mathrm { T } _ { \mathrm { A } }\)\(\mathrm { T } _ { \mathrm { B } }\) followed by \(\mathrm { T } _ { \mathrm { C } }\)
  3. Explain, using a property of matrix multiplication, why R and S are the same transformations. A quadrilateral, \(Q\), has vertices \(D , E , F\) and \(G\) in anticlockwise order from \(D\). Under transformation \(\mathrm { R } , Q ^ { \prime }\) s image, \(Q ^ { \prime }\), has vertices \(D ^ { \prime } , E ^ { \prime } , F ^ { \prime }\) and \(G ^ { \prime }\) (where \(D ^ { \prime }\) is the image of \(D\), etc). The area of \(Q\), in suitable units, is 5 . You are given that det \(\mathbf { C } = a ^ { 2 } + 1\) where \(a\) is a real constant.
    1. Determine the order of the vertices of \(Q ^ { \prime }\), starting anticlockwise from \(D ^ { \prime }\).
    2. Find, in terms of \(a\), the area of \(Q ^ { \prime }\).
    3. Explain whether the inverse transformation for R exists. Justify your answer.

Question 8:
Part (a):
AnswerMarks Guidance
\(A^{-1} = \frac{1}{3}\begin{pmatrix} 3 & 0 \\ -2 & 1 \end{pmatrix}\)B1 No guidance notes
Part (b):
AnswerMarks Guidance
\([AB =]\begin{pmatrix} 1 & 0 \\ 2 & 3 \end{pmatrix}\begin{pmatrix} 1 & 0 \\ 0 & -1 \end{pmatrix} = \begin{pmatrix} 1 & 0 \\ 2 & -3 \end{pmatrix}\)M1 (1.1) Correctly finding either AB or BA
\([BA =]\begin{pmatrix} 1 & 0 \\ 0 & -1 \end{pmatrix}\begin{pmatrix} 1 & 0 \\ 2 & 3 \end{pmatrix} = \begin{pmatrix} 1 & 0 \\ -2 & -3 \end{pmatrix}\) so they are not the sameA1 (2.2a) Must give correct calculation and correct conclusion. \(AB \neq BA\) is fine for conclusion. General statement "matrices not commutable" not OK unless linked to particular case.
Part (c):
AnswerMarks Guidance
The matrix representing R is \(C(BA)\)...M1 (3.1a) Or the matrix representing S is \((CB)A\). Must have \(R=C(BA)\) or \(S=(CB)A\) with brackets or equivalent correct. Need to see the brackets or equivalent. BOD sight of \(T_A\)
...and the matrix representing S is \((CB)A\) and by associativity of matrix multiplication, \(C(BA) = (CB)A\) (so R and S are the same)A1 (3.2a) Correct form for S and either explicit equality or associativity property explicitly mentioned. M1 A0 only if state that matrices are commutative. If M0 then SC B1 for observation that \((AB)C = A(BC)\) or any other correct statement of associativity of matrix multiplication.
Part (d)(i):
AnswerMarks Guidance
\(\det A = 3\) or \(\det B = -1\)M1 (1.1) Question says "Determine" so answer only is 0
\(\det(CBA) = -3(a^2+1) < 0\) (since \(a\) is real) [so the orientation is reversed]. Order is \(D'\), \(G'\), \(F'\), \(E'\)A1 (2.2a) Some justification must be given but condone incorrect order of matrices. Orientation reversed is fine, but must see correct \(\det(CBA)\). Can consider \(\det(C)\det(B)\det(A)\) instead. Allow "the order is clockwise". SC1 If neither det A or det B explicitly calculated then allow B1 for det A, det C positive and det B negative so orientation reversed. SC2 If only det (C) considered (i.e. candidate thinks transformation R is represented by C) then allow B1 for \(a^2+1>0\) so orientation is the same.
Part (d)(ii):
AnswerMarks Guidance
\(15(a^2+1)\)B1FT (1.1) FT \(5\times\) their determinant from (i) if found. FT only if their determinant is negative.
Part (d)(iii):
AnswerMarks Guidance
The determinant is not zero...M1 (1.1) Understanding that the matrix associated with the transformation is non-singular. Allow M1 for "the determinant is negative". Or equating det to 0 and solving even if conclusion wrong. Can be considering det C or det R here. Allow M1 for "determinant is positive" ONLY if it is clear where the determinant has come from (e.g. from det C).
...so the inverse transformation exists.A1FT (2.2a) Condone use of "matrix" rather than "transformation". Allow follow through if using det C. If have found matrix singular when \(a = i\) then need to discount this as not real. If their determinant is 0 then SC1 only can be awarded for showing understanding that the transformation associated with a singular matrix does not have an inverse. Need to be showing non-zero determinant.
## Question 8:

### Part (a):
$A^{-1} = \frac{1}{3}\begin{pmatrix} 3 & 0 \\ -2 & 1 \end{pmatrix}$ | **B1** | No guidance notes

### Part (b):
$[AB =]\begin{pmatrix} 1 & 0 \\ 2 & 3 \end{pmatrix}\begin{pmatrix} 1 & 0 \\ 0 & -1 \end{pmatrix} = \begin{pmatrix} 1 & 0 \\ 2 & -3 \end{pmatrix}$ | **M1** (1.1) | Correctly finding either **AB** or **BA**

$[BA =]\begin{pmatrix} 1 & 0 \\ 0 & -1 \end{pmatrix}\begin{pmatrix} 1 & 0 \\ 2 & 3 \end{pmatrix} = \begin{pmatrix} 1 & 0 \\ -2 & -3 \end{pmatrix}$ so they are not the same | **A1** (2.2a) | Must give correct calculation and correct conclusion. $AB \neq BA$ is fine for conclusion. General statement "matrices not commutable" not OK unless linked to particular case.

### Part (c):
The matrix representing R is $C(BA)$... | **M1** (3.1a) | Or the matrix representing S is $(CB)A$. Must have $R=C(BA)$ or $S=(CB)A$ with brackets or equivalent correct. Need to see the brackets or equivalent. BOD sight of $T_A$

...and the matrix representing S is $(CB)A$ and by associativity of matrix multiplication, $C(BA) = (CB)A$ (so R and S are the same) | **A1** (3.2a) | Correct form for S and either explicit equality or associativity property explicitly mentioned. M1 A0 only if state that matrices are commutative. If **M0** then **SC B1** for observation that $(AB)C = A(BC)$ or any other correct statement of associativity of matrix multiplication.

### Part (d)(i):
$\det A = 3$ or $\det B = -1$ | **M1** (1.1) | Question says "Determine" so answer only is 0

$\det(CBA) = -3(a^2+1) < 0$ (since $a$ is real) [so the orientation is reversed]. Order is $D'$, $G'$, $F'$, $E'$ | **A1** (2.2a) | Some justification must be given but condone incorrect order of matrices. Orientation reversed is fine, but must see correct $\det(CBA)$. Can consider $\det(C)\det(B)\det(A)$ instead. Allow "the order is clockwise". **SC1** If neither det **A** or det **B** explicitly calculated then allow B1 for det **A**, det **C** positive and det **B** negative so orientation reversed. **SC2** If only det (C) considered (i.e. candidate thinks transformation R is represented by **C**) then allow **B1** for $a^2+1>0$ so orientation is the same.

### Part (d)(ii):
$15(a^2+1)$ | **B1FT** (1.1) | FT $5\times$ their determinant from (i) if found. FT only if their determinant is negative.

### Part (d)(iii):
The determinant is not zero... | **M1** (1.1) | Understanding that the matrix associated with the transformation is non-singular. Allow M1 for "the determinant is negative". Or equating det to 0 and solving even if conclusion wrong. Can be considering det **C** or det **R** here. Allow M1 for "determinant is positive" ONLY if it is clear where the determinant has come from (e.g. from det **C**).

...so the inverse transformation exists. | **A1FT** (2.2a) | Condone use of "matrix" rather than "transformation". Allow follow through if using det **C**. If have found matrix singular when $a = i$ then need to discount this as not real. If their determinant is 0 then **SC1** only can be awarded for showing understanding that the transformation associated with a singular matrix does not have an inverse. Need to be showing non-zero determinant.

---
8 Three transformations, $T _ { A } , T _ { B }$ and $T _ { C }$, are represented by the matrices $A , B$ and $\mathbf { C }$ respectively.

You are given that $\mathbf { A } = \left( \begin{array} { l l } 1 & 0 \\ 2 & 3 \end{array} \right)$ and $\mathbf { B } = \left( \begin{array} { c c } 1 & 0 \\ 0 & - 1 \end{array} \right)$.
\begin{enumerate}[label=(\alph*)]
\item Find the matrix which represents the inverse transformation of $T _ { A }$.
\item By considering matrix multiplication, determine whether $T _ { A }$ followed by $T _ { B }$ is the same transformation as $T _ { B }$ followed by $T _ { A }$.

Transformations R and S are each defined as being the result of successive transformations, as specified in the table.

\begin{center}
\begin{tabular}{ | c | c | c | }
\hline
Transformation & First transformation & followed by \\
\hline
R & $\mathrm { T } _ { \mathrm { A } }$ followed by $\mathrm { T } _ { \mathrm { B } }$ & $\mathrm { T } _ { \mathrm { C } }$ \\
\hline
S & $\mathrm { T } _ { \mathrm { A } }$ & $\mathrm { T } _ { \mathrm { B } }$ followed by $\mathrm { T } _ { \mathrm { C } }$ \\
\hline
\end{tabular}
\end{center}
\item Explain, using a property of matrix multiplication, why R and S are the same transformations.

A quadrilateral, $Q$, has vertices $D , E , F$ and $G$ in anticlockwise order from $D$. Under transformation $\mathrm { R } , Q ^ { \prime }$ s image, $Q ^ { \prime }$, has vertices $D ^ { \prime } , E ^ { \prime } , F ^ { \prime }$ and $G ^ { \prime }$ (where $D ^ { \prime }$ is the image of $D$, etc). The area of $Q$, in suitable units, is 5 .

You are given that det $\mathbf { C } = a ^ { 2 } + 1$ where $a$ is a real constant.
\item \begin{enumerate}[label=(\roman*)]
\item Determine the order of the vertices of $Q ^ { \prime }$, starting anticlockwise from $D ^ { \prime }$.
\item Find, in terms of $a$, the area of $Q ^ { \prime }$.
\item Explain whether the inverse transformation for R exists. Justify your answer.
\end{enumerate}\end{enumerate}

\hfill \mbox{\textit{OCR Further Pure Core AS 2024 Q8 [10]}}