A probability measure with finite second moment on a Hilbert space has a relative score with respect to a diagonal Gaussian when, for each coordinate, Gaussian integration by parts against bounded cylindrical functions is represented by a square-integrable function; the score is the sequence of these unique components, the natural gradient of the log-density.
In the settings of Borel Probability Measures on a Real Hilbert Space with an Orthonormal Basis: Standing Notation and Differential Calculus and Convexity on Euclidean Open Sets: Standing Notation, with the coordinates of Borel Probability Measures on a Real Hilbert Space with an Orthonormal Basis: Standing Notation §coordinates, let be a variance sequence and the diagonal Gaussian measure on with variances . is the set of bounded cylindrical functions and are their partial derivatives, which exist by Bounded C^1 Cylindrical Functions: Linear Structure, the Gradient and the Partial Derivatives, Bounds and Integrability, and Density in the Square-Integrable Functions §gradient. Let , the set of The Second Moment of a Borel Probability Measure on a Hilbert Space and the Probability Measures with Finite Second Moment §space, and let be the real Hilbert space of The Lebesgue Space of Square-Integrable Functions is a Real Hilbert Space §hilbert, with the inner product and norm of The Lebesgue Space of Square-Integrable Functions is a Real Hilbert Space §inner-product. For and , the classes of and belong to and are again written and , and is integrable with respect to , by Bounded C^1 Cylindrical Functions: Linear Structure, the Gradient and the Partial Derivatives, Bounds and Integrability, and Density in the Square-Integrable Functions §square-integrable; the function is integrable with respect to by Bounded C^1 Cylindrical Functions: Linear Structure, the Gradient and the Partial Derivatives, Bounds and Integrability, and Density in the Square-Integrable Functions §coordinate-integrable; hence, being positive by Variance Sequences and Their Truncations §variances, the function is integrable with respect to by Linearity and Monotonicity of the Lebesgue Integral §integrable.
(Relative score) The measure has a relative score with respect to if for every there is with
For each there is at most one such : the difference of two of them satisfies for every , by linearity of the inner product in its first argument, and so is the zero vector by Bounded C^1 Cylindrical Functions: Linear Structure, the Gradient and the Partial Derivatives, Bounds and Integrability, and Density in the Square-Integrable Functions §density, so that the two coincide. The relative score of with respect to is then the sequence , and is its -th component.
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