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Quarterly of Applied Mathematics

Quarterly of Applied Mathematics

Online ISSN 1552-4485; Print ISSN 0033-569X

   
 
 

 

Wasserstein barycenters in the manifold of all positive definite matrices


Authors: Elham Nobari and Bijan Ahmadi Kakavandi
Journal: Quart. Appl. Math. 77 (2019), 655-669
MSC (2010): Primary 49Q20, 49M25, 49M29, 65J10
DOI: https://doi.org/10.1090/qam/1535
Published electronically: February 7, 2019
MathSciNet review: 3962587
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Abstract: In this paper, we study the Wasserstein barycenter of finitely many Borel probability measures on $\mathbb {P}_{n}$, the Riemannian manifold of all $n\times n$ real positive definite matrices as well as its associated dual problem, namely the optimal transport problem. Our results generalize some results of Agueh and Carlier on $\mathbb {R}^{n}$ to $\mathbb {P}_{n}$. We show the existence of the optimal solutions and the Wasserstein barycenter measure. Furthermore, via a discretization approach and using the BFGS (Broyden-Fletcher-Goldfarb-Shanno) method for nonsmooth convex optimization, we propose a numerical method for computing the potential functions of the optimal transport problem. Also, thanks to the so-called optimal transport Jacobian on Riemannian manifolds of Cordero-Erausquin, McCann, and Schmuckenschläger, we show that the density of the Wasserstein barycenter measure can be approximated numerically. The paper concludes with some numerical experiments.


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Additional Information

Elham Nobari
Affiliation: Department of Mathematics, University of Science and Technology of Mazandaran, Behshahr, Iran
MR Author ID: 1182530
Email: e.nobari@mazust.ac.ir

Bijan Ahmadi Kakavandi
Affiliation: Corresponding author. Department of Mathematical Sciences, Shahid Beheshti University G. C., Tehran, Iran. P.O. Box 19839-69411
MR Author ID: 802542
ORCID: 0000-0002-4790-0626
Email: b_ahmadi@sbu.ac.ir

Keywords: Wasserstein barycenters, optimal transport, positive definite matrices, numerical methods for nonsmooth convex minimization
Received by editor(s): June 28, 2018
Received by editor(s) in revised form: November 24, 2018
Published electronically: February 7, 2019
Article copyright: © Copyright 2019 Brown University