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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∗mug_s*mu of a probability measure on RqR^q is a bounded C3C^3 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)g_{2s}(x-y) against the product measure.

Statement

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 qq, and let gsg_{s} for 0<s≤10<s\le1, the constants A0,…,A3A_{0},\dots,A_{3} and the notation s−m/2s^{-m/2} be those of The Gaussian Kernels on Euclidean Space: Scaling, Derivatives up to Order Three, the Convolution Identity, Moments and Tails. Lebesgue measure λq\lambda_{q} on B(Rq)\mathcal{B}(\mathbb{R}^{q}) is that of Product Measures and Lebesgue Measure on ℝⁿ: Standing Notation and Background (v), integrals with respect to it are also written ∫f(y) dy\int f(y)\,dy, and a function on Rq\mathbb{R}^{q} is integrable when it is integrable with respect to λq\lambda_{q}; a function Rq→R\mathbb{R}^{q}\to\mathbb{R} is bounded as defined there, and a bounded Borel function is integrable with respect to every probability measure by Probability Measures on Euclidean Space and Random Vectors: Standing Notation (iii). Let μ∈P(Rq)\mu\in\mathcal{P}(\mathbb{R}^{q}) and let ss satisfy 0<s≤10<s\le1.

For y∈Rqy\in\mathbb{R}^{q} the function x↦gs(y−x)x\mapsto g_{s}(y-x) equals x↦gs(x−y)x\mapsto g_{s}(x-y) by the evenness in The Gaussian Kernels on Euclidean Space: Scaling, Derivatives up to Order Three, the Convolution Identity, Moments and Tails (ii), is Borel by claim 1 of The Gaussian Smoothing Weight: Normalization, Derivatives, Exponential Tilting, Moments, and First-Order Remainder, and is bounded by A0s−q/2A_{0}s^{-q/2} by The Gaussian Kernels on Euclidean Space: Scaling, Derivatives up to Order Three, the Convolution Identity, Moments and Tails (iii); hence

(gs∗μ)(y)=∫Rqgs(y−x) μ(dx)(g_{s}*\mu)(y)=\int_{\mathbb{R}^{q}}g_{s}(y-x)\,\mu(dx)

is a real number, and the function gs∗μ:Rq→Rg_{s}*\mu:\mathbb{R}^{q}\to\mathbb{R} is called the Gaussian smoothing of μ\mu at scale ss. For a bounded Borel ϕ:Rq→R\phi:\mathbb{R}^{q}\to\mathbb{R} and x∈Rqx\in\mathbb{R}^{q} the function y↦gs(x−y) ϕ(y)y\mapsto g_{s}(x-y)\,\phi(y) is Borel and integrable, being dominated by a constant multiple of the function y↦gs(x−y)y\mapsto g_{s}(x-y), which is integrable with integral 11 by claim 1 of The Gaussian Smoothing Weight: Normalization, Derivatives, Exponential Tilting, Moments, and First-Order Remainder; we write

(gs∗ϕ)(x)=∫Rqgs(x−y) ϕ(y) dy.(g_{s}*\phi)(x)=\int_{\mathbb{R}^{q}}g_{s}(x-y)\,\phi(y)\,dy .

Then the following hold.

1. (Regularity) gs∗μg_{s}*\mu is of class C3C^{3} on Rq\mathbb{R}^{q}, and for all y∈Rqy\in\mathbb{R}^{q} and i,j,k∈[q]i,j,k\in[q],

∂i(gs∗μ)(y)=∫Rq∂igs(y−x) μ(dx),∂j∂i(gs∗μ)(y)=∫Rq∂j∂igs(y−x) μ(dx),\partial_{i}(g_{s}*\mu)(y)=\int_{\mathbb{R}^{q}}\partial_{i}g_{s}(y-x)\,\mu(dx),\qquad \partial_{j}\partial_{i}(g_{s}*\mu)(y)=\int_{\mathbb{R}^{q}}\partial_{j}\partial_{i}g_{s}(y-x)\,\mu(dx), ∂k∂j∂i(gs∗μ)(y)=∫Rq∂k∂j∂igs(y−x) μ(dx),\partial_{k}\partial_{j}\partial_{i}(g_{s}*\mu)(y)=\int_{\mathbb{R}^{q}}\partial_{k}\partial_{j}\partial_{i}g_{s}(y-x)\,\mu(dx),

the integrands being bounded Borel functions of xx; moreover 0≤(gs∗μ)(y)≤A0s−q/20\le(g_{s}*\mu)(y)\le A_{0}s^{-q/2}, ∣∂i(gs∗μ)(y)∣≤A1s−(q+1)/2|\partial_{i}(g_{s}*\mu)(y)|\le A_{1}s^{-(q+1)/2}, ∣∂j∂i(gs∗μ)(y)∣≤A2s−(q+2)/2|\partial_{j}\partial_{i}(g_{s}*\mu)(y)|\le A_{2}s^{-(q+2)/2} and ∣∂k∂j∂i(gs∗μ)(y)∣≤A3s−(q+3)/2|\partial_{k}\partial_{j}\partial_{i}(g_{s}*\mu)(y)|\le A_{3}s^{-(q+3)/2}.

2. (Mass and duality) gs∗μg_{s}*\mu is nonnegative, Borel and integrable, with ∫Rqgs∗μ dλq=1\int_{\mathbb{R}^{q}}g_{s}*\mu\,d\lambda_{q}=1. For every bounded Borel ϕ:Rq→R\phi:\mathbb{R}^{q}\to\mathbb{R} with ∣ϕ(y)∣≤M|\phi(y)|\le M for all yy, the function gs∗ϕg_{s}*\phi is Borel with ∣(gs∗ϕ)(x)∣≤M|(g_{s}*\phi)(x)|\le M for all xx, the product ϕ⋅(gs∗μ)\phi\cdot(g_{s}*\mu) is integrable, and

∫Rqϕ (gs∗μ) dλq=∫Rqgs∗ϕ dμ.\int_{\mathbb{R}^{q}}\phi\,(g_{s}*\mu)\,d\lambda_{q}=\int_{\mathbb{R}^{q}}g_{s}*\phi\,d\mu .

3. (Approximation) Let ϕ:Rq→R\phi:\mathbb{R}^{q}\to\mathbb{R} be Borel and let MM, rr and ϵ\epsilon be positive real numbers such that ∣ϕ(x)∣≤M|\phi(x)|\le M for all xx and ∣ϕ(x)−ϕ(x′)∣≤ϵ|\phi(x)-\phi(x')|\le\epsilon for all x,x′x,x' with ∥x−x′∥≤r\lVert x-x'\rVert\le r. Then for every x∈Rqx\in\mathbb{R}^{q},

∣(gs∗ϕ)(x)−ϕ(x)∣≤ϵ+2 M q sr2.\bigl|(g_{s}*\phi)(x)-\phi(x)\bigr|\le\epsilon+\frac{2\,M\,q\,s}{r^{2}} .

4. (Pairing identity) Let ν∈P(Rq)\nu\in\mathcal{P}(\mathbb{R}^{q}) and suppose 0<s≤120<s\le\tfrac12. Then the product (gs∗μ)(gs∗ν)(g_{s}*\mu)(g_{s}*\nu) is integrable, the function z↦g2s(pr1(z)−pr2(z))z\mapsto g_{2s}(\mathrm{pr}_{1}(z)-\mathrm{pr}_{2}(z)) on Rq+q\mathbb{R}^{q+q} is bounded and Borel, and

∫Rq(gs∗μ)(gs∗ν) dλq=∫Rq+qg2s(pr1(z)−pr2(z)) (μ⊠ν)(dz),\int_{\mathbb{R}^{q}}(g_{s}*\mu)(g_{s}*\nu)\,d\lambda_{q}=\int_{\mathbb{R}^{q+q}}g_{2s}\bigl(\mathrm{pr}_{1}(z)-\mathrm{pr}_{2}(z)\bigr)\,(\mu\boxtimes\nu)(dz),

with the coordinate projections and product measure of that clause.

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