Bounded cylindrical functions form a vector space containing the constants; each is differentiable with gradient given by its representation, so its partial derivatives are the Euclidean ones on the first n coordinates and vanish beyond; they are bounded and Borel with bounded gradient, integrable against coordinates under finite second moment, and dense in of every Borel probability measure.
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 and the coordinate maps of Borel Probability Measures on a Real Hilbert Space with an Orthonormal Basis: Standing Notation §coordinates, let be the set of Bounded Continuously Differentiable Functions with Bounded Partial Derivatives on Euclidean Space §bounded with , and let the set of bounded cylindrical functions, their representations and the partial derivatives of functions differentiable on be those of Bounded C^1 Cylindrical Functions on a Hilbert Space with an Orthonormal Basis and Partial Derivatives along an Orthonormal Basis of a Function Differentiable on a Hilbert Space respectively, with differentiability on and the gradient of Fréchet Differentiability and the Gradient on an Open Subset of a Real Inner Product Space, applied with . For , is the real Hilbert space of The Lebesgue Space of Square-Integrable Functions is a Real Hilbert Space §hilbert, with inner product , and is the set of The Second Moment of a Borel Probability Measure on a Hilbert Space and the Probability Measures with Finite Second Moment §space.
1. (Linear structure) Every constant function belongs to , and is closed under pointwise sums and real multiples.
2. (Gradient) Let have a representation . Then is differentiable on , with gradient
3. (Partial derivatives) Let , differentiable on by claim 2, and let . If is a representation of , then for and for and every .
4. (Bounded and Borel) Let and . Then and are Borel and bounded.
5. (Bounded gradient) Let . Then the map is Borel, and there is a real number with for every .
6. (Square-integrability) Let , and . Then and are integrable with respect to and -integrable with respect to in the sense of Power-Integrable Functions and the p-Seminorm §space, so that their classes belong to .
7. (Coordinate moments) Let , and . Then the function is integrable with respect to .
8. (Density) Let . The set of the classes in of the functions in is dense in . In particular, if satisfies for every , then is the zero vector of .
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