In this section we prove Theorem ??, which states that every matrix is row equivalent to precisely one reduced echelon form matrix.

Proof of Theorem ??: Suppose that and are two reduced echelon matrices that are row equivalent to . Since elementary row operations are invertible, the two matrices and are row equivalent. Thus, the systems of linear equations associated to the matrices and must have exactly the same set of solutions. It is the fact that the solution sets of the linear equations associated to and are identical that allows us to prove that .

Begin by renumbering the variables so that the equations associated to have the form:

In this form, pivots of occur in the columns . We begin by showing that the matrix also has pivots in columns . Moreover, there is a unique solution to these equations for every choice of numbers .

Suppose that the pivots of do not occur in columns . Then there is a row in whose first nonzero entry occurs in a column . This row corresponds to an equation Now, consider solutions that satisfy In the equations associated to the matrix , there is a unique solution associated with every number ; while in the equations associated to the matrix , must be zero to be a solution. This argument contradicts the fact that the equations and the equations have the same solutions. So the pivots of must also occur in columns , and the equations associated to must have the form:

where are scalars.

To complete this proof, we show that . These equalities are verified as follows. There is just one solution to each system (??) and (??) of the form These solutions are for (??) and for (??). It follows that for . Complete this proof by repeating this argument. Just inspect solutions of the form through