Gaussian integration by parts for bounded cylindrical functions: ; and as a consequence the noise gradient is closable, i.e. if in and in then .
In the setting of Gaussian Analysis Relative to a Diagonal Gaussian Reference Measure with Noise Weights: Standing Notation, with , the partial derivatives and the noise gradients of Gaussian Analysis Relative to a Diagonal Gaussian Reference Measure with Noise Weights: Standing Notation §cylindrical; for the class of lies in 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 lies in 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 and .
1. (Integration by parts for products) For all and , the functions and are integrable with respect to , and
2. (Closability) Let be a sequence in and let be such that and converge to . Then is the zero vector of .
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