Here is a short proof that uses only the row space. For a vector subspace , let be the dimension of its projection map onto the first coordinates, with . In any reduced row echelon form with row space , counts the pivot columns among those first columns: later-pivot rows project to zero, while earlier-pivot rows remain linearly independent. Thus the positions where determine all pivot positions from alone.
If those positions are , the map sending to is an isomorphism : the reduced nonzero rows map to the standard basis. Its th row is therefore the unique vector of with pivot-coordinate values equal to the th standard basis vector. Any other reduced row echelon form with that row space has identical nonzero rows in identical order. At a fixed matrix size, the remaining rows must be zero. Together with existence by Gaussian elimination, this proves uniqueness.

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