Properties of Determinants
Multiplicative; row swaps change sign.
Key idea
Multiplicative; row swaps change sign.
In depth
det(AB) = det A det B, det Aᵀ = det A, swapping two rows changes the sign, multiplying a row by k multiplies det by k, and adding a multiple of one row to another changes nothing. Triangular matrices have det equal to the product of the diagonal.
Worked example
det(2A) for a 3 × 3 matrix equals 2³ det A = 8 det A.
Formula
Real-world uses
- Checking the effect of row operations on a system
- Testing if a matrix is invertible
Common mistake
Assuming det(A + B) = det A + det B.
How to learn this
- Read the key idea and say it in your own words.
- Work through the worked example, then try a similar problem.
- Use the interactive lesson’s visual and mini-quiz to check the pattern.
Frequently asked questions
What is Properties of Determinants?
Multiplicative; row swaps change sign. It is a topic at the expert level in Linear Algebra.
What is the formula for Properties of Determinants?
The key formula is det(AB) = det A det B.
Where is Properties of Determinants used in real life?
Real-world examples: Checking the effect of row operations on a system; Testing if a matrix is invertible.
What should I learn before Properties of Determinants?
Make sure you are comfortable with Cofactor Expansion, the previous topic in Linear Algebra.
What is a common mistake with Properties of Determinants?
Assuming det(A + B) = det A + det B.
How can I practise Properties of Determinants?
Open the interactive lesson, play with the visual, then answer the three-question mini-quiz. Getting two right marks the topic complete.
What comes after Properties of Determinants?
Move on to Geometric Meaning of Determinants next.
Related expert topics in Linear Algebra
- Triple Product – Scalar triple product gives parallelepiped volume.
- Homogeneous Systems – Ax = 0 always has the trivial solution.
- Cofactor Expansion – Compute determinants recursively.
- Geometric Meaning of Determinants – Area or volume scaling factor.
- Cramer’s Rule for Systems – Solve systems using determinants.
- Adjugate Matrix – Transpose of the cofactor matrix.