Structure Theorem for the Solution Set of a Linear System

Consider the following two linear systems.

  • ΣB is a nonhomogeneous linear system AX=B. Its solution set is denoted by SB.
  • ΣO is the associated homogeneous linear system AX=O. Its solution set is denoted by SO.

Note. In matrix form, both systems have the same coefficient matrix A and the same vector of unknowns X. The only difference is the constant vector, namely B in the first system and O in the second. Since ΣO is homogeneous, its constant vector is made entirely of zeros.
linear systems written in matrix form

In this context, two different situations may occur:

  1. SB=∅.
  2. SB=SO+X'
    (where X' is an element of SB).

In the second case, every solution of the nonhomogeneous system ΣB can be obtained by adding a particular solution X' to each solution of the associated homogeneous system ΣO.

A practical example

Consider the following linear system with three equations and three unknowns.

an example of a linear system

The coefficient matrix A and the augmented matrix A|B are the following:

the system written in matrix form

Using Gaussian elimination, I transform the augmented matrix A|B into row echelon form.

the transformation into row echelon form using Gaussian elimination

Once the matrix is in row echelon form, the third equation becomes identically zero. This allows me to eliminate it and treat the variable x3 as a free parameter t.

the linear system simplified in row echelon form

The reduced form of the augmented matrix A|B is the following:

the reduced matrix of the system

I can now rewrite the linear system ΣB in reduced form:

the linear system in reduced form

This gives the solution set SB of the system ΣB.

the solutions of the system

Next, I apply the same procedure to the associated homogeneous system ΣO.

the associated homogeneous linear system

In matrix form, the homogeneous system is written as the matrix equation AX=O.

The coefficient matrix A and the augmented matrix A|B are the following:

the system written in matrix form

Again, I use Gaussian elimination to transform the augmented matrix A|B into row echelon form.

the matrix A|B transformed into row echelon form

After the reduction process, the third row can be removed and the variable x3 becomes a free parameter.

the parametrization of the variable x3

I can therefore rewrite the homogeneous system ΣO in reduced form:

the homogeneous linear system in reduced form

This gives the solution set SO of the homogeneous system ΣO.

the solutions of the homogeneous linear system

According to the structure theorem, the solution set SB is equal to the sum of the solution set SO of the homogeneous system and a particular solution X' belonging to SB.

Therefore, the general solution of the system is

the general solution of the linear system

In conclusion, the solution set SB of the system ΣB is obtained by adding a particular solution X' to the solution set SO of the associated homogeneous system ΣO.

the general solutions of the linear system

Proof of the structure theorem

A proof of the structure theorem for linear systems is shown below:

the structure theorem for linear systems

Note. If the solution set SB is empty, there is nothing to prove because no particular solution X' exists.

 
 

Please feel free to point out any errors or typos, or share suggestions to improve these notes. English isn't my first language, so if you notice any mistakes, let me know, and I'll be sure to fix them.

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Algebra and Linear Systems