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On the support of measures with fixed marginals with applications in optimal mass transportation

Part of: Manifolds

Published online by Cambridge University Press:  29 May 2024

Abbas Moameni*
Affiliation:
School of Mathematics and Statistics, Carleton University, Ottawa, ON K1S 5B6, Canada

Abstract

Let $\mu $ and $\nu $ be Borel probability measures on complete separable metric spaces X and Y, respectively. Each Borel probability measure $\gamma $ on $X\times Y$ with marginals $\mu $ and $\nu $ can be described through its disintegration $\big ( \gamma _{x}\big )_{x \in X}$ with respect to the initial distribution $\mu .$ Assume that $\mu $ is continuous, i.e., $\mu \big (\{x\}\big )=0$ for all $x \in X.$ We shall analyze the structure of the support of the measure $\gamma $ provided $\text {card } \big (\mathrm{spt} (\gamma _{x}) \big )$ is finitely countable for $\mu $-a.e. $x\in X.$ We shall also provide an application to optimal mass transportation.

Type
Article
Copyright
© The Author(s), 2024. Published by Cambridge University Press on behalf of Canadian Mathematical Society

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Footnotes

This work is supported by a grant from the Natural Sciences and Engineering Research Council of Canada.

References

Ahmad, N., Kim, H. K., and McCann, R. J., Optimal transportation, topology and uniqueness . Bull. Math. Sci. 1(2011), 1332.CrossRefGoogle Scholar
Bogachev, V. I., Measure theory. Vols. I, II, Springer-Verlag, Berlin, 2007.CrossRefGoogle Scholar
Gangbo, W. and McCann, R. J., The geometry of optimal transportation . Acta Math. 177(1996), 113161.CrossRefGoogle Scholar
Graf, S., Induced $\sigma$ -homomorphisms and a parametrization of measurable sections via extremal preimage measures . Math. Ann. 247(1980), no. 1, 6780.CrossRefGoogle Scholar
Kechris, A., Classical descriptive set theory, Graduate Texts in Mathematics, 156, Springer-Verlag, New York, 1995.CrossRefGoogle Scholar
Levin, V., Abstract cyclical monotonicity and Monge solutions for the general Monge–Kantorovich problem . Set-Valued Var. Anal. 7(1999), no. 1, 732.CrossRefGoogle Scholar
McCann, R. and Rifford, L., The intrinsic dynamics of optimal transport . J. Ec. polytech. Math. 3(2016), 6798.CrossRefGoogle Scholar
Moameni, A., A characterization for solutions of the Monge–Kantorovich mass transport problem . Math. Ann. 365(2016), nos. 3–4, 12791304.CrossRefGoogle Scholar
Moameni, A. and Pass, B., Solutions to multi-marginal optimal transport problems supported on several graphs . ESAIM Control Optim. Calc. Var. 23(2017), no. 2, 551567.CrossRefGoogle Scholar
Moameni, A. and Rifford, L., Uniquely minimizing costs for the Kantorovitch problem . Ann. Fac. Sci. Toulouse Math. (6) 29(2020), no. 3, 507563.CrossRefGoogle Scholar
Rachev, S. T. and Rüschendorf, L., Mass transportation problems. Vol. I, Theory. Probability and its Applications (New York), Springer-Verlag, New York, 1998.Google Scholar
Villani, C., Optimal transport, old and new, Grundlehren der Mathematischen Wissenschaften, Springer-Verlag, Berlin, 2009.CrossRefGoogle Scholar
von Weizsäcker, H. and Winkler, G., Integral representation in the set of solutions of a generalized moment problem . Math. Ann. 246(1979/80), no. 1, 2332.CrossRefGoogle Scholar