Gaussian Smoothing of a Probability Measure on Euclidean Space: Regularity, Mass, Duality, Approximation of a Bounded Function with a Modulus of Continuity, and the Pairing Identity
The Gaussian smoothing gs∗mu of a probability measure on Rq is a bounded C3 density of mass one whose derivatives are obtained under the integral; integrating a bounded Borel function against it equals integrating the smoothed function against mu; smoothing approximates a function with a modulus of continuity uniformly; and the Lebesgue integral of the product of two smoothed measures is the integral of g2s(x−y) against the product measure.
the integrands being bounded Borel functions of x; moreover 0≤(gs∗μ)(y)≤A0s−q/2, ∣∂i(gs∗μ)(y)∣≤A1s−(q+1)/2, ∣∂j∂i(gs∗μ)(y)∣≤A2s−(q+2)/2 and ∣∂k∂j∂i(gs∗μ)(y)∣≤A3s−(q+3)/2.
2. (Mass and duality)gs∗μ is nonnegative, Borel and integrable, with ∫Rqgs∗μdλq=1. For every bounded Borel ϕ:Rq→R with ∣ϕ(y)∣≤M for all y, the function gs∗ϕ is Borel with ∣(gs∗ϕ)(x)∣≤M for all x, the product ϕ⋅(gs∗μ) is integrable, and
∫Rqϕ(gs∗μ)dλq=∫Rqgs∗ϕdμ.
3. (Approximation) Let ϕ:Rq→R be Borel and let M, r and ϵ be positive real numbers such that ∣ϕ(x)∣≤M for all x and ∣ϕ(x)−ϕ(x′)∣≤ϵ for all x,x′ with ∥x−x′∥≤r. Then for every x∈Rq,
(gs∗ϕ)(x)−ϕ(x)≤ϵ+r22Mqs.
4. (Pairing identity) Let ν∈P(Rq) and suppose 0<s≤21. Then the product (gs∗μ)(gs∗ν) is integrable, the function z↦g2s(pr1(z)−pr2(z)) on Rq+q is bounded and Borel, and
Curated associations between results. These are editable and subjective — they do not replace the dependency graph, which is derived from the references in the text.