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Gaussian Integration by Parts for Products of Cylindrical Functions, and Closability of the Noise Gradient in the Gaussian Lebesgue Space

Gaussian integration by parts for bounded C1C^1 cylindrical functions: ∫∂kF φ dγc=∫F(x)(xkφ(x)/ck−∂kφ(x)) γc(dx)\int\partial_kF\,\varphi\,d\gamma_c=\int F(x)(x_k\varphi(x)/c_k-\partial_k\varphi(x))\,\gamma_c(dx); and as a consequence the noise gradient is closable, i.e. if Fj→0F_j\to0 in L2(γc)L^2(\gamma_c) and ∇aFj→G\nabla_aF_j\to G in L2(γc;Xa)L^2(\gamma_c;X^a) then G=0G=0.

Statement

In the setting of Gaussian Analysis Relative to a Diagonal Gaussian Reference Measure with Noise Weights: Standing Notation, with FCb1(X)\mathcal{F}C^{1}_{b}(X), the partial derivatives ∂k\partial_{k} and the noise gradients ∇aF\nabla_{a}F of Gaussian Analysis Relative to a Diagonal Gaussian Reference Measure with Noise Weights: Standing Notation §cylindrical; for F∈FCb1(X)F\in\mathcal{F}C^{1}_{b}(X) the class of FF lies in L2(γc)L^{2}(\gamma_{c}) 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, and the class of ∇aF\nabla_{a}F lies in L2(γc;Xa)L^{2}(\gamma_{c};X^{a}) by The Noise Gradient of a Cylindrical Function and the Noise Tangent Space at a Probability Measure on a Hilbert Space §gradient; both are again written FF and ∇aF\nabla_{a}F.

1. (Integration by parts for products) For all F,φ∈FCb1(X)F,\varphi\in\mathcal{F}C^{1}_{b}(X) and k∈Nk\in\mathbb{N}, the functions ∂kF φ\partial_{k}F\,\varphi and x↦F(x)(xkφ(x)/ck−∂kφ(x))x\mapsto F(x)\bigl(x_{k}\varphi(x)/c_{k}-\partial_{k}\varphi(x)\bigr) are integrable with respect to γc\gamma_{c}, and

∫X∂kF φ dγc=∫XF(x)(xkck φ(x)−∂kφ(x))γc(dx).\int_{X}\partial_{k}F\,\varphi\,d\gamma_{c}=\int_{X}F(x)\Bigl(\frac{x_{k}}{c_{k}}\,\varphi(x)-\partial_{k}\varphi(x)\Bigr)\gamma_{c}(dx).

2. (Closability) Let (Fj)j∈N(F_{j})_{j\in\mathbb{N}} be a sequence in FCb1(X)\mathcal{F}C^{1}_{b}(X) and let G∈L2(γc;Xa)G\in L^{2}(\gamma_{c};X^{a}) be such that (∥Fj∥2)j∈N(\lVert F_{j}\rVert_{2})_{j\in\mathbb{N}} and (∥∇aFj−G∥γc)j∈N(\lVert\nabla_{a}F_{j}-G\rVert_{\gamma_{c}})_{j\in\mathbb{N}} converge to 00. Then GG is the zero vector of L2(γc;Xa)L^{2}(\gamma_{c};X^{a}).

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