Determinants and Cramer's Rule
A single number that reveals whether a matrix is invertible—and a shortcut for solving small systems.
Introduction
The determinant is a scalar value computed from a square matrix that tells us about its properties: if , the matrix is invertible; if , it's singular. For small systems, Cramer's Rule uses determinants to find solutions directly without row reduction.
Prerequisite Connection
You can find matrix inverses and understand when a matrix is invertible.
Today's Increment
We compute determinants of 2×2 and 3×3 matrices, and apply Cramer's Rule.
Why This Matters
Determinants measure area/volume scaling in transformations. Cramer's Rule gives elegant closed-form solutions useful in theoretical physics and engineering.
Key Concepts
2×2 Determinant
Multiply diagonals and subtract.
3×3 Determinant (Expansion)
Expand along the first row using cofactors:
Each cofactor is times the determinant of the submatrix obtained by deleting row and column .
Cramer's Rule
For system with :
where is matrix with column replaced by .
Worked Examples
Example 1: 2×2 Determinant (Basic)
Find the determinant:
Apply formula:
Since , the matrix is invertible.
Example 2: Cramer's Rule 2×2 (Intermediate)
Solve using Cramer's Rule:
Step 1: Find
Step 2: Find (replace column 1 with constants)
Step 3: Find (replace column 2 with constants)
Solution:
and
Example 3: 3×3 Determinant (Advanced)
Find the determinant:
Expand along row 1:
Calculate 2×2 determinants:
Common Pitfalls
Sign errors in cofactor expansion
The pattern is for row 1. Remember alternates signs in a checkerboard pattern.
Using Cramer's Rule when
Cramer's Rule only works for nonsingular matrices. If , use Gaussian elimination instead.
Replacing the wrong column
For , replace column of with the constants vector. Double-check which variable you're solving for.
Real-World Application
Area and Volume Calculations
The absolute value of a 2×2 determinant gives the area of the parallelogram spanned by two vectors. For 3×3, it gives the volume of the parallelepiped. This is why transformations that have determinant 2 double areas, and determinant 0 collapse space to lower dimensions.
Area = for vectors and
Practice Quiz
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