Adding the three equations for gives the necessary solvability condition . Conversely, subtraction of the first two and use of the third force
If , these values also satisfy the first two equations: for example,
The analogous calculation gives . Thus existence and uniqueness hold exactly under the stated compatibility condition:
For the three-variable system the matrix and data vector are
Perform Gaussian elimination on the augmented matrix. The operations and give
Each operation is an invertible row scaling followed by a row addition, so the solution set is preserved. Next gives
Back substitution now yields
and then
All three pivots are nonzero. Thus the solution exists uniquely for every , the matrix rank is , and the kernel of a linear map represented by is . The general rank-nullity theorem for a matrix with columns is
here .
Finally, reverse the viewpoint and regard as prescribed. The necessary and sufficient condition already proved applies with , , . Their sum is . Consequently can be recovered exactly when
When this holds, their unique values are and . The allowable triples form an affine plane, not all of .

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