The Gaussian Sobolev space is a linear subspace of on which the noise gradient is linear and closed; it contains the cylindrical Hermite polynomials, with explicit gradient coordinates, and on them the Dirichlet form is diagonal with ; and if for all , every element satisfies the log-Sobolev inequality with constant and the Poincare inequality with constant .
In the setting of Gaussian Analysis Relative to a Diagonal Gaussian Reference Measure with Noise Weights: Standing Notation, with the Gaussian Sobolev space , the noise gradient of of The Gaussian Sobolev Space of the Noise Gradient, and the Dirichlet form ; the coordinate of an element of along , an element of , is that of The Space of Square-Integrable Hilbert-Valued Maps is a Real Hilbert Space: Coordinates and Synthesis §coordinates; the rates of Gaussian Analysis Relative to a Diagonal Gaussian Reference Measure with Noise Weights: Standing Notation §rates and ; the multi-indices with , , , and , and the cylindrical Hermite polynomials ; and, being a probability measure, the entropy , with the function of The Function : Continuity, Young's Inequality and Lower Bounds, with the Elementary Bounds for the Exponential and the Logarithm.
1. (Linear structure) is a linear subspace of , and is linear on it.
2. (Closedness) Let be a sequence in , and with and . Then and .
3. (Hermite polynomials) For every , the class of , which lies in by Cylindrical Hermite Polynomials: Growth and Integrability, Partial Derivatives, Orthogonality, and Monomials as Hermite Combinations §cylindrical and is again written , belongs to , and for every the coordinate of along is if and if .
4. (Number-operator form) For all ,
5. (Log-Sobolev inequality) Let be positive with for every , and let with a Borel representative . Then and are integrable with respect to , and
6. (Poincar'e inequality) For , and as in claim 5, is integrable with respect to , and
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