TheoremBase

Replacing the Tail of a Probability Measure on a Hilbert Space by an Independent Diagonal Gaussian Tail: Same Head and Convergence in the Quadratic Wasserstein Distance

Keeping the first n coordinates of a measure with finite second moment and replacing its tail by an independent diagonal Gaussian tail gives measures with the same first n coordinates that converge to the original measure in the quadratic Wasserstein distance.

Statement

In the setting of Borel Probability Measures on a Real Hilbert Space with an Orthonormal Basis: Standing Notation, with pnp_{n} and QnQ_{n} as in Borel Probability Measures on a Real Hilbert Space with an Orthonormal Basis: Standing Notation §coordinates and push-forwards as in Borel Probability Measures on a Real Hilbert Space with an Orthonormal Basis: Standing Notation §pushforward, let cc be a variance sequence with diagonal Gaussian measure γc\gamma_{c}, let μ∈P2(X)\mu\in\mathcal{P}_{2}(X), the set of The Second Moment of a Borel Probability Measure on a Hilbert Space and the Probability Measures with Finite Second Moment §space, and let W2W_{2} be the quadratic Wasserstein distance. For n∈Nn\in\mathbb{N} let Rn×X\mathbb{R}^{n}\times X carry the product metric, whose Borel σ\sigma-algebra is B(Rn)⊗B(X)\mathcal{B}(\mathbb{R}^{n})\otimes\mathcal{B}(X) by The Borel Sigma-Algebra of a Product of Two Separable Metric Spaces is the Product Sigma-Algebra §product; let Φn:Rn×X→X\Phi_{n}:\mathbb{R}^{n}\times X\to X, Φn(u,w)=pn∗(u)+w\Phi_{n}(u,w)=p_{n}^{*}(u)+w, be the Borel map of Head and Tail of a Diagonal Gaussian Measure on a Hilbert Space are Independent §synthesis; let (pn)#μ⊗(Qn)#γc(p_{n})_{\#}\mu\otimes(Q_{n})_{\#}\gamma_{c} be the probability measure on B(Rn)⊗B(X)\mathcal{B}(\mathbb{R}^{n})\otimes\mathcal{B}(X) given by Existence and Uniqueness of the Product Measure; and let μ(n)\mu^{(n)} be its image measure under Φn\Phi_{n}, a Borel probability measure on XX by claim 1 of Image Measures, Measures with Densities, and Change of Variables:

μ(n)=(Φn)#((pn)#μ⊗(Qn)#γc).\mu^{(n)}=(\Phi_{n})_{\#}\bigl((p_{n})_{\#}\mu\otimes(Q_{n})_{\#}\gamma_{c}\bigr).

1. (Same head) For every n∈Nn\in\mathbb{N}, μ(n)∈P2(X)\mu^{(n)}\in\mathcal{P}_{2}(X) and (pn)#μ(n)=(pn)#μ(p_{n})_{\#}\mu^{(n)}=(p_{n})_{\#}\mu.

2. (Convergence) The sequence (W2(μ(n),μ))n∈N\bigl(W_{2}(\mu^{(n)},\mu)\bigr)_{n\in\mathbb{N}}, defined by claim 1, converges to 00, and μ(n)⇒μ\mu^{(n)}\Rightarrow\mu in the sense of Borel Probability Measures on a Real Hilbert Space with an Orthonormal Basis: Standing Notation §weak.

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