The variational theory of splines requires a native space: a Hilbert space over which the regularization energy is well defined and the minimum-energy interpolation problem admits a spline solution. In this paper, we characterize the operators that enable the construction of such spaces. Our framework is based on the completion of a space of test functions in a controlled Gelfand-triple configuration , which we call a Hilbert-Gelfand space. This departs from the classical reproducing-kernel techniques. Our construction is substantially more general, as it supports arbitrary linear operators and singular behaviors, and it recovers the reproducing-kernel setting as a particular case. It is also complete and canonical: the admissibility conditions on are necessary and sufficient, and determines its native space as the unique Hilbert-Gelfand space on which it extends to a bounded surjection onto . We first show that Hilbert-Gelfand spaces are in one-to-one correspondence with compatible Riesz pairs of positive-definite operators . We then extend this correspondence to conditional Riesz pairs, where is only conditionally positive-definite, which is the scenario that is relevant to splines. The theory identifies the \emph{attainable null space} of the energy as the unique admissible conditioning, realizes the abstract completions as concrete spaces of distributions, and provides a verifiable admissibility condition in terms of a dual energy functional. The framework is illustrated with the fractional Laplacian, which covers polyharmonic and thin-plate splines, and with ordinary differential operators, which cover exponential splines.

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