Imagine the area of parallelogram created by the basis of a standard vector space, like
You can also just think of it as the area of the parallelogram spanned by the columns of a matrix
(assume n by n matrix because we only know how to find determinants for square matrices)
You can also get the area of S by using the determinant of the matrix created by the vectors that span S, i.e.
Determinant Laws
- det(A) = 0
A is singular - det(A)
0 A is invertible
- det(A)
- det(Triangular) = product of diagonals
- det A = det
- det(AB) = det A · det B
Determinant Post Row Operations
if A square:
- if adding rows to rows on A to get B then
- if swapping rows in A to get B then
- if scaling one row of A by k, then
= Exactly the same for columns