Homogeneous systems

A homogeneous linear system is one of the form Ax = 0, i.e. one for which the constant terms on the right are all zero. A homogeneous linear system always has at least the trivial solution x = 0.

 

Here's a result that is not true for non-homogeneous linear systems.

A homogeneous linear system Ax = 0 with more variables than equations must always have infinitely many solutions.

Proof: Since A has more columns than rows, the reduced row-echelon form of [A|0] has more columns left of the bar than rows, and hence more columns left of the bar than leading 1's. The solution must then contain parameters, so there are infinitely many solutions.

 

The solutions of a general linear system Ax = b and its corresponding homogeneous system Ax = 0 are related to each other.

Let xp be any particular solution of the linear system Ax = b. Then

a) For any solution xH of the homogemeous system Ax = 0, xP + xH is a solution of Ax = b.

b) All solutions of Ax = b are of the form xP + xH for some solution xH of the homogeneous system Ax = 0.

Proof of a): A(xP + xH) = AxP + AxH = b + 0 = b, so xP + xH is a solution of Ax = b.

Proof of b): Let x be any solution of Ax = b and define y = xxP. Then Ay = AxAxP = bb = 0, so y is a solution of Ax = 0 and x = xP + y. For xH = y, x is of the form xP + xH for some solution xH of the homogeneous system Ax = 0.

You can see how this works our when you solve a linear system and its corresponding homogeneous system together. Suppose for example you solve both systems

x1 + 2x2 + x3 + x4

= 3

2x1 + 5x2 – x3 + 3x4

= 5

 

 

x1 + 2x2 + x3 + x4

= 0

2x1 + 5x2 – x3 + 3x4

= 0

Their augmented matrices are

 

which reduce to

 

Their solutions are then

x1 =

5 – 7s + t

x2 =

–1 + 3s – 1

x3 =

s

x4 =

t

 

 

x1 =

–7s + t

x2 =

3s – 1

x3 =

s

x4 =

t

or in column matrix form,

 

 

Notice what happens: the parameter part of the solution of the non-homogeneous system is the solution to the homogeneous system, and the remaining part is the particular solution you get by putting s = t = 0.

 

Now suppose we have a square homogeneous linear system.

If A is a square matrix, then the homogeneous linear system Ax = 0 has only the trivial solution if and only if A is invertible.

Proof: If A is invertible and x is any solution of Ax = 0, then (multiply by A–1) AA–1x = A–10, i.e. x = 0 - there is only the trivial solution.

Assume that A is not invertible; then its reduced row echelon form R is not the identity and so has a row of zeroes at the bottom. The reduced row-echelon form of the augmented matrix [A|0] is [R|0], so it also has a row of zeroes at the bottom, and thus fewer leading 1's than rows. Since A and R are square, [R|0] has fewer leading 1's than columns left of the bar, so its solution contains parameters. The system thus has a non-trivial solution.