English

Quadratic Wasserstein distance between Gaussian laws revisited with correlation

Probability 2025-07-01 v1

Abstract

In this note, we give a simple derivation of the formula obtained in Dowson and Landau (1982), Olkin and Pukelsheim (1982) and Givens and Shortt (1984) for the quadratic Wasserstein distance between two Gaussian distributions on Rd\R^d with respective covariance matrices Σμ\Sigma_\mu and Σν\Sigma_\nu. This derivation relies on the existence of an orthogonal matrix OO such that OΣμOO^*\Sigma_\mu O and OΣνOO^*\Sigma_\nu O share the same correlation matrix and on the simplicity of optimal couplings in the case with the same correlation matrix and therefore the same copula.

Keywords

Cite

@article{arxiv.2506.23742,
  title  = {Quadratic Wasserstein distance between Gaussian laws revisited with correlation},
  author = {Aurélien Alfonsi and Benjamin Jourdain},
  journal= {arXiv preprint arXiv:2506.23742},
  year   = {2025}
}