Clearing the denominators in the rational interpolation conditions gives
These are linear equations for unknowns. The th row of the coefficient matrix, in the order , is
This rational interpolation linearization is equivalent to the original fraction conditions only if at every interpolation node. If , the cleared equation merely forces , leaving the fraction undefined.
For , the coefficient row becomes
This is the Vandermonde matrix, whose determinant is . Equivalently, a vector in its null space would define a degree-at-most- polynomial vanishing at all distinct interpolation nodes, which is zero by the preceding uniqueness proof. Thus the cleared linear system has exactly one solution.
There is also a constructive description of that solution. Define the monic polynomial
The polynomial is monic of degree and vanishes at every interpolation node. It must therefore equal . By polynomial division, write uniquely
The quotient is monic of degree , and
is the unique coefficient solution. This does not assert that is nonzero at every interpolation node.
For a counterexample with , , choose and the specified data , so . The cleared equations reduce to
giving the unique solution , . But at the quotient is . Indeed, any genuine rational interpolant of this prescribed form would need ; then forces the constant numerator to be zero. At a nonzero denominator its value at would also be zero, never one. Cancelling the common factor in the cleared candidate would merely give the identically zero rational function, which still fails the data. Hence
For rational interpolation with and a monic denominator , multiplying through gives the linear system
These equations are equivalent to the fraction conditions only when all are nonzero. If and , the coefficient matrix is the Vandermonde matrix with rows , so distinct interpolation nodes give a unique coefficient solution. More constructively, divide by as , . Then , , since is the unique monic degree- polynomial vanishing at all the interpolation nodes. The quotient may vanish at a node, so unique solvability of this linear system does not prove existence of a rational interpolant.