See also: Linear Algebra, Special Matrices, column space, null space, solution space
1. The Multiplicative Property (The “Powerhouse”)
This is the single most useful property for algebraic proofs involving determinants.
This means the determinant of a product is the product of the determinants.
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Why it matters: It lets you break complex matrix equations into simple scalar equations.
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Corollary (Powers): If you multiply by itself times:
This is exactly the rule used in your example.
2. The Inverse Property
If is invertible (nonsingular), then:
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Derivation:
3. The Scalar Multiplication “Trap”
This is the most common mistake students make. If you multiply the entire matrix (size ) by a scalar constant :
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Why and not just ?
Recall that the determinant measures volume. If you scale a 3D box () by 2 in every direction (), the volume doesn’t double; it gets multiplied by .
- Example: If and is , then .
4. The Transpose Property
This means “rows and columns are equal” in the eyes of the determinant. Any rule that applies to rows (like row operations) also applies to columns.
| Operation | Property | Note |
|---|---|---|
| Product | Determinant of product = product of determinants. | |
| Power | Follows from product rule. | |
| Inverse | Only if . | |
| Transpose | Rows vs Columns doesn’t matter for det. | |
| Scalar Scale | Crucial: is the dimension of the matrix. | |
| Identity | The unit volume. | |
| Orthogonal | Rotations () or Reflections (). |
Would you like to try a “trick question” involving the Scalar Scale property () to make sure you’ve mastered it?