Solve a system using back-substitution
Start from the last equation in a triangular system and substitute known values upward to solve.
Solve a system of equations with 2 or 3 variables
Use substitution, elimination, or matrix methods to find solutions for all variables.
Solve a system by Gaussian Elimination
Transform the augmented matrix to row echelon form (REF) using row operations, then apply back-substitution.
Find the product of two matrices
Multiply rows by columns:
Only defined when the number of columns in A equals the number of rows in B.
Find the transpose of a matrix
Swap rows and columns:
Find an elementary matrix
A matrix formed by applying a single row operation to an identity matrix. Used to represent row operations via multiplication.
Find the inverse of a 2Γ2 matrix
If:
Then:
Only if .
Find the inverse of a 3Γ3 matrix
Two methods:
- Row operations on
- Adjoint method:
Use an inverse matrix to solve a system
Given :
Only valid when is invertible.
Find the determinant of a 2Γ2 matrix
Find the determinant of the inverse of a 2Γ2 matrix
Find the determinant of a 3Γ3 matrix
Use either:
- Cofactor expansion
- Sarrusβ Rule (diagonal method)
Find minors and cofactors
- Minor of : determinant of submatrix excluding row , column
- Cofactor:
Use the definition of a determinant to find an unknown
Set up the determinant expression and solve for the unknown to meet given conditions.
Identify a matrix as singular or non-singular
- Singular: β no inverse
- Non-singular: β inverse exists
Solve a system using Cramerβs Rule
For :
Where is with its -th column replaced by .
Use a determinant to find the area of a triangle
For points :
Determine if three points are collinear
Points are collinear if the determinant used in the triangle area formula is zero.
Matrix addition, subtraction, scalar multiplication
- Addition/Subtraction: element-wise, same dimensions
- Scalar multiplication: each element multiplied by scalar
Find the adjoint of a matrix
The adjoint is the transpose of the cofactor matrix: