How do matrices encode and combine linear transformations of the plane?
Use 2x2 matrices for arithmetic, determinants and inverses, and as linear transformations of the plane
WACE Specialist Unit 4 matrices: 2x2 matrix arithmetic, determinants and inverses, the matrices for rotation, reflection, dilation and shear, composition of transformations by matrix multiplication, and the geometric meaning of the determinant.
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What this dot point is asking
SCSA Unit 4 treats matrices both as objects of arithmetic and as linear transformations of the plane. You must compute products, determinants and inverses, recognise and build the standard transformation matrices, compose transformations by multiplication, and interpret the determinant geometrically.
Matrix arithmetic, determinant and inverse
For the determinant is . The matrix is invertible exactly when , and
Matrix multiplication is associative but not commutative: in general . The identity is , and .
Standard transformation matrices
A point is mapped to . The standard matrices are:
- Rotation by angle anticlockwise about the origin: .
- Reflection in the line (a line at angle to the -axis): .
- Dilation with factors in and in : .
- Shear parallel to the -axis with factor : .
Composition and the determinant
Applying transformation then corresponds to the product (the first-applied matrix sits on the right, next to the vector). The determinant has a direct geometric reading.
Solving systems with the inverse
A linear system with has the unique solution . If the system has either no solution or infinitely many.