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Bounded C1C^1 Cylindrical Functions: Linear Structure, the Gradient and the Partial Derivatives, Bounds and Integrability, and Density in the Square-Integrable Functions

Bounded C1C^1 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 L2L^2 of every Borel probability measure.

Statement

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 xkx_{k} and the coordinate maps pnp_{n} of Borel Probability Measures on a Real Hilbert Space with an Orthonormal Basis: Standing Notation §coordinates, let Cb1(Rn)C^{1}_{b}(\mathbb{R}^{n}) be the set of Bounded Continuously Differentiable Functions with Bounded Partial Derivatives on Euclidean Space §bounded with q=nq=n, and let the set FCb1(X)\mathcal{F}C^{1}_{b}(X) of bounded C1C^{1} cylindrical functions, their representations and the partial derivatives ∂kφ\partial_{k}\varphi of functions differentiable on XX 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 XX and the gradient Dφ(x)D\varphi(x) of Fréchet Differentiability and the Gradient on an Open Subset of a Real Inner Product Space, applied with E=U=XE=U=X. For μ∈P(X)\mu\in\mathcal{P}(X), L2(μ)=L2(X,B(X),μ)L^{2}(\mu)=L^{2}(X,\mathcal{B}(X),\mu) is the real Hilbert space of The Lebesgue Space of Square-Integrable Functions is a Real Hilbert Space §hilbert, with inner product ⟨⋅,⋅⟩L2(μ)\langle\cdot,\cdot\rangle_{L^{2}(\mu)}, and P2(X)\mathcal{P}_{2}(X) 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 X→RX\to\mathbb{R} belongs to FCb1(X)\mathcal{F}C^{1}_{b}(X), and FCb1(X)\mathcal{F}C^{1}_{b}(X) is closed under pointwise sums and real multiples.

2. (Gradient) Let φ∈FCb1(X)\varphi\in\mathcal{F}C^{1}_{b}(X) have a representation (n,ψ)(n,\psi). Then φ\varphi is differentiable on XX, with gradient

Dφ(x)=∑i=1n∂iψ(pn(x)) ei(x∈X).D\varphi(x)=\sum_{i=1}^{n}\partial_{i}\psi\bigl(p_{n}(x)\bigr)\,e_{i}\qquad(x\in X).

3. (Partial derivatives) Let φ∈FCb1(X)\varphi\in\mathcal{F}C^{1}_{b}(X), differentiable on XX by claim 2, and let k∈Nk\in\mathbb{N}. If (n,ψ)(n,\psi) is a representation of φ\varphi, then ∂kφ=(∂kψ)∘pn\partial_{k}\varphi=(\partial_{k}\psi)\circ p_{n} for k≤nk\le n and ∂kφ(x)=0\partial_{k}\varphi(x)=0 for k>nk>n and every x∈Xx\in X.

4. (Bounded and Borel) Let φ∈FCb1(X)\varphi\in\mathcal{F}C^{1}_{b}(X) and k∈Nk\in\mathbb{N}. Then φ\varphi and ∂kφ\partial_{k}\varphi are Borel and bounded.

5. (Bounded gradient) Let φ∈FCb1(X)\varphi\in\mathcal{F}C^{1}_{b}(X). Then the map Dφ:X→XD\varphi:X\to X is Borel, and there is a real number B≥0B\ge0 with ∣Dφ(x)∣≤B|D\varphi(x)|\le B for every x∈Xx\in X.

6. (Square-integrability) Let μ∈P(X)\mu\in\mathcal{P}(X), φ∈FCb1(X)\varphi\in\mathcal{F}C^{1}_{b}(X) and k∈Nk\in\mathbb{N}. Then φ\varphi and ∂kφ\partial_{k}\varphi are integrable with respect to μ\mu and 22-integrable with respect to μ\mu in the sense of Power-Integrable Functions and the p-Seminorm §space, so that their classes belong to L2(μ)L^{2}(\mu).

7. (Coordinate moments) Let μ∈P2(X)\mu\in\mathcal{P}_{2}(X), φ∈FCb1(X)\varphi\in\mathcal{F}C^{1}_{b}(X) and k∈Nk\in\mathbb{N}. Then the function x↦xkφ(x)x\mapsto x_{k}\varphi(x) is integrable with respect to μ\mu.

8. (Density) Let μ∈P(X)\mu\in\mathcal{P}(X). The set of the classes in L2(μ)L^{2}(\mu) of the functions in FCb1(X)\mathcal{F}C^{1}_{b}(X) is dense in L2(μ)L^{2}(\mu). In particular, if g∈L2(μ)g\in L^{2}(\mu) satisfies ⟨g,φ⟩L2(μ)=0\langle g,\varphi\rangle_{L^{2}(\mu)}=0 for every φ∈FCb1(X)\varphi\in\mathcal{F}C^{1}_{b}(X), then gg is the zero vector of L2(μ)L^{2}(\mu).

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