For a function of the first n coordinates with a gradient of at most linear growth, the integral of a coordinate derivative against a diagonal Gaussian measure equals the integral of the function times the coordinate divided by its variance, and the derivative along a Cameron-Martin vector integrates to the integral of the function times the Paley-Wiener functional.
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 , the coordinate maps and the Euclidean norm of Borel Probability Measures on a Real Hilbert Space with an Orthonormal Basis: Standing Notation §coordinates, and integrals and integrability as in Measure Spaces and the Lebesgue Integral: Standing Notation, let be a variance sequence, the diagonal Gaussian measure on with variances , the Cameron-Martin space of , and, for , the Paley-Wiener functional of relative to .
Let , let be nonnegative, and let be of class on , where the class and the partial derivatives are understood as in Differential Calculus and Convexity on Euclidean Open Sets: Standing Notation §derivatives with , the set being open by claim 1 of Euclidean Space is Open in Itself, and Maps are Continuous, and suppose that
Let and, for , .
1. (Integrability) The following functions are Borel and integrable with respect to : the functions and (); the functions (); and the functions ().
2. (Coordinate directions) For every ,
For every with ,
3. (Cameron-Martin directions) For every , with coordinates ,
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