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
rule_of_sarrus.png

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)