The convolution of a bounded Borel function with a Gaussian kernel is bounded by the same constant, continuously differentiable with derivatives computed through the kernel, commutes with differentiation when the function is bounded , and converges to the function at its points of continuity.
In the setting of Probability Measures on Euclidean Space and Random Vectors: Standing Notation, with Differential Calculus and Convexity on Euclidean Open Sets: Standing Notation in force, fix a dimension , and let for , and the notation , be those of The Gaussian Kernels on Euclidean Space: Scaling, Derivatives up to Order Three, the Convolution Identity, Moments and Tails; each is smooth on , so that its partial derivatives exist, by The Gaussian Kernels on Euclidean Space: Scaling, Derivatives up to Order Three, the Convolution Identity, Moments and Tails §derivatives. Lebesgue measure on is that of Euclidean Space and Lebesgue Measure: Standing Notation §measure, integrals with respect to it are also written , and integrable means integrable with respect to . The class on and partial derivatives are those of Differential Calculus and Convexity on Euclidean Open Sets: Standing Notation, being open by claim 1 of Euclidean Space is Open in Itself, and Maps are Continuous, and is the set of Bounded Continuously Differentiable Functions with Bounded Partial Derivatives on Euclidean Space §bounded. Let be Borel and let be a nonnegative real number with for every .
1. (Smoothing) Let and . The functions and on are Borel and integrable, and their integrals are equal; their common value is written
and .
2. (Derivatives through the kernel) Let . The function is of class on , and for every and every the function is Borel and integrable, with
3. (Derivatives through the function) Suppose that , and let and . Then is Borel and bounded, so that its smoothing is defined by claim 1 applied with and a bound of it in place of and , and .
4. (Pointwise convergence) Let be a point at which is continuous. For every positive there is with such that for every with .
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