Summary
Determinant of 1x1 matrices
Determinant of 2x2 matrices
Determinant of 3x3 matrices, by cofactor expansion with the 1st row
Rule of Sarrus for 3x3 matrices
Rules
Adjoint formula
Equivalent statements of invertibility
if the determinant is 0, the matrix transforms(squishes) space into a lower dimension -> the inverse would not have a unique solution
Concept
Determinant
- visualise it as the degree to which a unit of space is scaled when undergoing a matrix transformation
Cofactor expansion
first minor, the submatrix derived by deleting the ith row and jth col
choose the row/col that has the most zeros
Reduction, with determinant of elementary matrices
- the detereminant of a matrix in RREF is easier to find
Adjoint
- (i,j) entry is the (j,i) cofactor
Cramer’s rule to solve linear systems
Application
Determinant of triangular matrices, product of the diagonal entries
Adjoint on a 2x2 matrix
Deriving the adjoint formular for inverse
Extra
Octave
octave
# Determinant of a matrix
det(A)
# Adjugate matrix
adjoint(A)