Independent Elliptical Distributions Minimize Their $\mathcal{W}_2$ Wasserstein Distance from Independent Elliptical Distributions with the Same Density Generator
Song Fang, Quanyan Zhu

TL;DR
This paper proves that independent elliptical distributions minimize their Wasserstein distance from other elliptical distributions with the same density generator, and explores implications for the Gelbrich bound and non-independent cases.
Contribution
It establishes a new property of elliptical distributions regarding Wasserstein distance minimization and extends the results to non-independent distributions.
Findings
Independent elliptical distributions minimize their $ ext{W}_2$ Wasserstein distance from similar distributions.
Implications for the Gelbrich bound are discussed.
Results are generalized to non-independent distributions.
Abstract
This short note is on a property of the Wasserstein distance which indicates that independent elliptical distributions minimize their Wasserstein distance from given independent elliptical distributions with the same density generators. Furthermore, we examine the implications of this property in the Gelbrich bound when the distributions are not necessarily elliptical. Meanwhile, we also generalize the results to the cases when the distributions are not independent. The primary purpose of this note is for the referencing of papers that need to make use of this property or its implications.
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Taxonomy
TopicsGeometric Analysis and Curvature Flows · Advanced Harmonic Analysis Research
