The development and testing of an isokinetic strength testing device. In: B. Das (Ed),.Advances in industrial ergonomics and safety -
On a Formula for the L2 Wasserstein Metric between Measures on Euclidean and Hilbert Spaces
✍ Scribed by Matthias Gelbrich
- Publisher
- John Wiley and Sons
- Year
- 1990
- Tongue
- English
- Weight
- 819 KB
- Volume
- 147
- Category
- Article
- ISSN
- 0025-584X
No coin nor oath required. For personal study only.
✦ Synopsis
Abstract
For a separable metric space (X, d) L^p^ Wasserstein metrics between probability measures μ and v on X are defined by
where the infimum is taken over all probability measures η on X × X with marginal distributions μ and v, respectively. After mentioning some basic properties of these metrics as well as explicit formulae for X = R a formula for the L^2^ Wasserstein metric with X = R^n^ will be cited from [5], [9], and [21] and proved for any two probability measures of a family of elliptically contoured distributions.
Finally this result will be generalized for Gaussian measures to the case of a separable Hilbert space.
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