In the previous lesson, you were introduced to the Gaussian elimination algorithm in order to get to the reduced echelon form of a system of linear equations. This lesson, we will take a look at the solution sets of two types of linear equations, namely the homogeneous- and inhomogeneous equations.
Homogeneous equations
A homogeneous system of linear equations is a system whose right hand side consists of only zeros. An example of a homogeneous set of equations is given in Equation 1.
(1)
(2)
(3)
(4)
Case 1 – The solution set of the homogeneous set of equations has no free variable.
(5)

Case 2 – The solution set of the homogeneous set of equations has one free variable.
(6)

Case 3 – The solution set of the homogeneous set of equations has two free variables.
(7)

Inhomogeneous equations
A homogeneous system of linear equations is a system whose right hand side does not consists of only zeros. An example of a homogeneous set of equations has been given in Equation 1. An example of an inhomogeneous set of equations is given in Equation 8.
(8)
(9)
(10)

An inhomogeneous system can be inconsistent, meaning, not having a solution. Therefore, considering an inhomogeneous system Ax = b, the solution set is either
- Empty (inconsistent)
- A translate of the solution set of the homogeneous system Ax = 0.
So, if Ap = b is consistent, then all solutions of Ax = b are given in the form x = p + (where
is the solution set of the homogeneous system), with A
= 0.