Determinants, Inverses and Linear Systems
Calculating determinants and inverses for two- and three-dimensional matrices, solving simultaneous equations and interpreting solution failure geometrically.
How to study A-level Further Mathematics
Define the objects and conditions, select a representation, carry out exact mathematics, then validate, interpret and communicate the result.
Core concepts
Concept 1
A non-zero determinant identifies an invertible square matrix; a zero determinant signals singularity.
Exam cue: Check determinant and dimensions before attempting an inverse.
Concept 2
An inverse can solve a compatible linear system, but only when the coefficient matrix is non-singular.
Exam cue: Verify a computed inverse by multiplication with the original matrix.
Concept 3
Three simultaneous linear equations may represent planes meeting at one point, along a line, coinciding or having no common point.
Exam cue: Connect algebraic rank or inconsistency with the geometry of the represented planes.
Risk pitfalls and guardrails
Dividing by a zero determinant.
Guardrail: Do not replace proof with examples, exact reasoning with unverified calculator output, or a valid awarding-body route with an invented mix of options.
Ignoring equation order when building the coefficient matrix.
Guardrail: Do not replace proof with examples, exact reasoning with unverified calculator output, or a valid awarding-body route with an invented mix of options.
Calling every singular system inconsistent when it may have infinitely many solutions.
Guardrail: Do not replace proof with examples, exact reasoning with unverified calculator output, or a valid awarding-body route with an invented mix of options.
Memory anchors
Determinant
The determinant is a scalar that indicates scaling, orientation and whether a square matrix is singular.
Singular Matrix
A singular matrix has determinant zero and no inverse.
Inverse Matrix
The inverse reverses the action of an invertible square matrix.
Linear System
A linear system is a collection of linear equations considered simultaneously.
Geometric Failure
Failure of a unique solution can mean no common intersection or infinitely many common points.
Checkpoint rule
Do the check-up only after you can summarize each concept in one sentence and identify one dangerous pitfall from memory.
Knowledge Check (after reading)
Short check-up to confirm understanding of this module.
Check-up Questions
Find det[[3,2],[5,4]].
For A=[[2,1],[3,2]], find A⁻¹.
Answer all questions to submit.
Next step personalized recommendations
Continue learning
Move forward only after this module is stable.
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