Linear Equations and Matrices: A Summary, Summaries of Linear Algebra

The page is a cheat sheet about linear equations and matrices as well as determinants.

Typology: Summaries

2022/2023

Uploaded on 02/20/2024

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Summary of Section: Linear Equations and matrices
Consistent- has a solution
Inconsistent- Does not have a solution
Augmented matrix-
(elementary row operations)
Equivalent- Same solution set
Gauss-Jordan elimination
Reduce from augmented matrix to reduced row-echelon form
(has zeros above and below leading one)
Gaussian elimination
Reduce from augmented matrix to row-echelon form
(Pivot is first-nonzero in row, usually one, zeros above and below)
Generalised row-echelon form
(0 row at bottom and each nonzero row begins with more zeros than previous one)
Homogeneous system
Always has a solution- trivial solution(one solution)/ nontrivial solution(infinite solutions)
Matrix
Rules of matrices
AB not BA A=E1^-1E2^-2E3^-3
AB=AC; does not mean B=C Ax=b (matrix A is invertible)
AB=0; does not mean A=0 or B=0 -matrix equation
x=A^-1b

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Summary of Section: Linear Equations and matrices

Consistent - has a solution

Inconsistent - Does not have a solution

Augmented matrix -

(elementary row operations)

Equivalent - Same solution set

Gauss-Jordan elimination

Reduce from augmented matrix to reduced row-echelon form (has zeros above and below leading one)

Gaussian elimination

Reduce from augmented matrix to row-echelon form (Pivot is first-nonzero in row, usually one, zeros above and below)

Generalised row-echelon form

(0 row at bottom and each nonzero row begins with more zeros than previous one)

Homogeneous system

Always has a solution - trivial solution(one solution)/ nontrivial solution(infinite solutions)

Matrix

Rules of matrices

AB not BA A=E 1 ^- 1 E 2 ^- 2 E 3 ^- AB=AC; does not mean B=C Ax=b (matrix A is invertible) AB=0; does not mean A=0 or B=0 -matrix equation x=A^-1b