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How do matrices represent transformations and systems of equations, and how do you invert them?

Matrix arithmetic, determinants, inverses of 2x2 and 3x3 matrices, matrices as linear transformations, invariant points and lines, and solving systems of linear equations.

A focused answer to the AQA A-Level Further Mathematics matrices content, covering matrix arithmetic, determinants, inverses of 2x2 and 3x3 matrices, matrices as linear transformations, invariant points and lines, and solving systems of linear equations.

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  1. What this dot point is asking
  2. Matrix arithmetic
  3. Determinants and inverses
  4. Matrices as transformations
  5. Invariant points and lines
  6. Solving systems of equations

What this dot point is asking

AQA wants you to add, subtract and multiply matrices, find determinants and inverses of 2Γ—22 \times 2 and 3Γ—33 \times 3 matrices, interpret matrices as linear transformations of the plane, find invariant points and lines, and use the inverse matrix to solve systems of simultaneous linear equations.

Matrix arithmetic

Matrix multiplication is row by column and is not commutative, so in general AB≠BAAB \neq BA. The identity matrix II leaves any matrix unchanged.

Determinants and inverses

For A=(abcd)A = \begin{pmatrix} a & b \\ c & d \end{pmatrix} the determinant is det⁑A=adβˆ’bc\det A = ad - bc and the inverse is Aβˆ’1=1adβˆ’bc(dβˆ’bβˆ’ca)A^{-1} = \dfrac{1}{ad - bc}\begin{pmatrix} d & -b \\ -c & a \end{pmatrix}.

Matrices as transformations

A 2Γ—22 \times 2 matrix maps the plane linearly, fixing the origin. The columns are the images of the basis vectors (10)\begin{pmatrix} 1 \\ 0 \end{pmatrix} and (01)\begin{pmatrix} 0 \\ 1 \end{pmatrix}, which is the fastest way to identify a transformation.

Invariant points and lines

An invariant point satisfies Ax=xA\mathbf{x} = \mathbf{x}, so it is fixed by the transformation; solving this gives a system whose only solution is usually the origin unless the matrix has special structure. An invariant line maps onto itself as a whole, though individual points on it may slide along it. To find invariant lines through the origin, look for directions x\mathbf{x} with AxA\mathbf{x} parallel to x\mathbf{x}.

Solving systems of equations

A system of linear equations can be written as Ax=bA\mathbf{x} = \mathbf{b}. If AA is invertible, the unique solution is x=Aβˆ’1b\mathbf{x} = A^{-1}\mathbf{b}. If det⁑A=0\det A = 0 the system has either no solutions or infinitely many.

For a 3Γ—33\times 3 matrix the same ideas extend: the determinant is found by cofactor expansion along a row, a non-zero determinant guarantees an inverse, and the inverse solves a three-variable system. A zero determinant signals a singular matrix where the equations are either inconsistent (no solution) or dependent (infinitely many), which links directly to the geometry of three planes that fail to meet at a single point.

Exam-style practice questions

Practice questions written in the style of AQA exam questions on this dot point, with worked answer explainers. The year tag is the paper they imitate, not the source.

AQA 20206 marksThe matrix A=(3124)A = \begin{pmatrix} 3 & 1 \\ 2 & 4 \end{pmatrix}. Find Aβˆ’1A^{-1} and hence solve the simultaneous equations 3x+y=53x + y = 5 and 2x+4y=102x + 4y = 10.
Show worked answer β†’

For A=(abcd)A = \begin{pmatrix} a & b \\ c & d \end{pmatrix}, det⁑A=adβˆ’bc\det A = ad - bc and Aβˆ’1=1det⁑A(dβˆ’bβˆ’ca)A^{-1} = \frac{1}{\det A}\begin{pmatrix} d & -b \\ -c & a \end{pmatrix}.

Here det⁑A=(3)(4)βˆ’(1)(2)=12βˆ’2=10\det A = (3)(4) - (1)(2) = 12 - 2 = 10, so Aβˆ’1=110(4βˆ’1βˆ’23)A^{-1} = \frac{1}{10}\begin{pmatrix} 4 & -1 \\ -2 & 3 \end{pmatrix}.

The system is A(xy)=(510)A\begin{pmatrix} x \\ y \end{pmatrix} = \begin{pmatrix} 5 \\ 10 \end{pmatrix}, so (xy)=Aβˆ’1(510)=110(4(5)βˆ’1(10)βˆ’2(5)+3(10))=110(1020)=(12)\begin{pmatrix} x \\ y \end{pmatrix} = A^{-1}\begin{pmatrix} 5 \\ 10 \end{pmatrix} = \frac{1}{10}\begin{pmatrix} 4(5) - 1(10) \\ -2(5) + 3(10) \end{pmatrix} = \frac{1}{10}\begin{pmatrix} 10 \\ 20 \end{pmatrix} = \begin{pmatrix} 1 \\ 2 \end{pmatrix}.

So x=1x = 1, y=2y = 2. Markers reward the determinant, the inverse, and the matrix-product solution.

AQA 20224 marksDescribe fully the single geometric transformation represented by the matrix (0110)\begin{pmatrix} 0 & 1 \\ 1 & 0 \end{pmatrix}, and state its determinant and what that determinant means.
Show worked answer β†’

Read the columns as the images of the basis vectors. The first column is the image of (10)\begin{pmatrix} 1 \\ 0 \end{pmatrix}, which maps to (01)\begin{pmatrix} 0 \\ 1 \end{pmatrix}; the second column is the image of (01)\begin{pmatrix} 0 \\ 1 \end{pmatrix}, which maps to (10)\begin{pmatrix} 1 \\ 0 \end{pmatrix}.

Swapping the coordinates of every point is a reflection in the line y=xy = x.

The determinant is (0)(0)βˆ’(1)(1)=βˆ’1(0)(0) - (1)(1) = -1. The magnitude 11 means areas are preserved, and the negative sign means orientation is reversed, which is consistent with a reflection.

Markers reward identifying the reflection in y=xy = x, the determinant βˆ’1-1, and linking the sign to reversed orientation.

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