Understand the idea.
What singular means
A square matrix is singular when its determinant is zero. For a non-zero singular matrix, its dependent columns force every output onto one line through the origin. The zero matrix instead sends every input to the origin.
Collapse loses information: distinct inputs can have the same output. An inverse could not know which input to return, so no singular square matrix has an inverse that recovers every original vector.
A singular system is not automatically inconsistent
Test whether is an attainable output. A nonzero singular matrix has a line image; the zero matrix has image . A consistent singular system has infinitely many solutions; otherwise it has none.
Test consistency using the original equations. If one left side is twice another, its right side must also double. A zero determinant rules out a unique solution, but alone does not distinguish inconsistency from infinitely many solutions.
See the method in action.
A collapsed plane
For , find the image of .
Worked solution
- 1
Multiply by the general input vector.
A general input describes the entire image, rather than just selected test points.
- 2
Factor the dependence between output coordinates.
The second output coordinate is twice the first for every input.
- 3
Identify the output line.
Capital letters distinguish output coordinates from the original input coordinates.
- 4
Check that the whole line is reached.
Choosing this input produces every real value of the line parameter.
, on .
Two right-hand sides
Compare with .
Worked solution
- 1
Double the first equation.
Any solution of the first equation must satisfy its doubled version.
- 2
Parametrise the first system.
The second equation repeats the first, leaving one free real parameter.
- 3
Verify the family.
Every parameter value satisfies the second equation as well as the first.
- 4
Compare the second system.
The same left side cannot equal two different constants, so this system has no solution.
First: infinitely many solutions . Second: no solution.
Try it yourself.
Check your understanding
Can a singular square matrix have a two-sided inverse?
Show answer & reasoning
No.
No. A singular square matrix sends some distinct inputs to the same output, so a two-sided inverse cannot recover both. Equivalently, its zero determinant cannot multiply with another determinant to give .
Keep practising
6 worksheet questions · 12 marks
Read the questions online
- Is singular?2 marks
- Find so that is singular.2 marks
- Solve , using a parameter.2 marks
- Explain why , is inconsistent.2 marks
- Find a non-zero vector sent to zero by .2 marks
- The matrix acts on the plane. Describe all its possible outputs.2 marks
Read the worked solutions
Equivalent correct methods earn the corresponding marks. Include units where asked.
- Is singular?2 marks
The determinant is .
Yes. - Find so that is singular.2 marks
Set .
. - Solve , using a parameter.2 marks
The second equation repeats the first.
Choose and obtain .
for any real . - Explain why , is inconsistent.2 marks
No pair can satisfy both statements.
Doubling the first equation gives 8, not 9. - Find a non-zero vector sent to zero by .2 marks
and .
For example . - The matrix acts on the plane. Describe all its possible outputs.2 marks
The output is .
Every real -coordinate is possible, but the -coordinate is always zero.
All points on the -axis.
Curriculum reference & lesson scope
SACE Board of South Australia
Stage 1 Mathematics: matrices and transformations; original lessons follow the approved school-sized chapter structure.
Official curriculum source ↗