Square Matrix Properties
Scaling a determinant
Multiplying every entry of an n×n matrix by a constant k scales the determinant by kn, not just k:
∣kA∣=kn∣A∣If A is a 3×3 matrix with ∣A∣=5, then ∣2A∣=23(5)=40.
Worked example: an idempotent matrix
If A is a square matrix with A2=A (called idempotent), simplify (I−A)3+A.
Solution: First find (I−A)2:
(I−A)2=I−2A+A2=I−2A+A=I−ASo squaring (I−A) gives back (I−A) itself: (I−A) is idempotent too. That means:
(I−A)3=(I−A)2(I−A)=(I−A)(I−A)=I−ASo (I−A)3+A=(I−A)+A=I.
Building a matrix from a formula
For a 2×2 matrix A=[aij] where aij=ji, find A.
Solution: Compute each entry directly from its row/column index:
a11=11=1,a12=21,a21=12=2,a22=22=1A=[12211]A singular matrix and no solution
For a matrix equation AX=B with square matrix A: if ∣A∣=0 (A is singular) and (adj A)B=0, the system has no solution at all: it's inconsistent. (If instead (adj A)B=0, the system has infinitely many solutions.)
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Whether a matrix is singular is exactly what decides whether a system of equations solved by the matrix method has a unique solution in the first place.