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.
In the setting of Borel Probability Measures on a Real Hilbert Space with an Orthonormal Basis: Standing Notation, with and 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 be a variance sequence with diagonal Gaussian measure , let , 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 be the quadratic Wasserstein distance. For let carry the product metric, whose Borel -algebra is by The Borel Sigma-Algebra of a Product of Two Separable Metric Spaces is the Product Sigma-Algebra §product; let , , be the Borel map of Head and Tail of a Diagonal Gaussian Measure on a Hilbert Space are Independent §synthesis; let be the probability measure on given by Existence and Uniqueness of the Product Measure; and let be its image measure under , a Borel probability measure on by claim 1 of Image Measures, Measures with Densities, and Change of Variables:
1. (Same head) For every , and .
2. (Convergence) The sequence , defined by claim 1, converges to , and in the sense of Borel Probability Measures on a Real Hilbert Space with an Orthonormal Basis: Standing Notation §weak.
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