Adding the three equations for gives the necessary solvability condition . Conversely, subtraction of the first two and use of the third forceIf , 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 arePerform Gaussian elimination on the augmented matrix. The operations and giveEach operation is an invertible row scaling followed by a row addition, so the solution set is preserved. Next givesBack substitution now yieldsand thenAll 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 ishere .
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 whenWhen this holds, their unique values are and . The allowable triples form an affine plane, not all of .
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