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Approximation of Optimal Transport problems with marginal moments constraints

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  • Aur'elien Alfonsi
  • Rafael Coyaud
  • Virginie Ehrlacher
  • Damiano Lombardi

Abstract

Optimal Transport (OT) problems arise in a wide range of applications, from physics to economics. Getting numerical approximate solution of these problems is a challenging issue of practical importance. In this work, we investigate the relaxation of the OT problem when the marginal constraints are replaced by some moment constraints. Using Tchakaloff's theorem, we show that the Moment Constrained Optimal Transport problem (MCOT) is achieved by a finite discrete measure. Interestingly, for multimarginal OT problems, the number of points weighted by this measure scales linearly with the number of marginal laws, which is encouraging to bypass the curse of dimension. This approximation method is also relevant for Martingale OT problems. We show the convergence of the MCOT problem toward the corresponding OT problem. In some fundamental cases, we obtain rates of convergence in $O(1/n)$ or $O(1/n^2)$ where $n$ is the number of moments, which illustrates the role of the moment functions. Last, we present algorithms exploiting the fact that the MCOT is reached by a finite discrete measure and provide numerical examples of approximations.

Suggested Citation

  • Aur'elien Alfonsi & Rafael Coyaud & Virginie Ehrlacher & Damiano Lombardi, 2019. "Approximation of Optimal Transport problems with marginal moments constraints," Papers 1905.05663, arXiv.org.
    • Handle: RePEc:arx:papers:1905.05663
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    References listed on IDEAS

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    1. Beiglböck, Mathias & Henry-Labordère, Pierre & Touzi, Nizar, 2017. "Monotone martingale transport plans and Skorokhod embedding," Stochastic Processes and their Applications, Elsevier, vol. 127(9), pages 3005-3013.
    2. Jean-David Benamou & Guillaume Carlier, 2015. "Augmented Lagrangian Methods for Transport Optimization, Mean Field Games and Degenerate Elliptic Equations," Journal of Optimization Theory and Applications, Springer, vol. 167(1), pages 1-26, October.
    3. Mathias Beiglbock & Pierre Henry-Labord`ere & Friedrich Penkner, 2011. "Model-independent Bounds for Option Prices: A Mass Transport Approach," Papers 1106.5929, arXiv.org, revised Feb 2013.
    4. Alfred Galichon, 2017. "A survey of some recent applications of optimal transport methods to econometrics," Econometrics Journal, Royal Economic Society, vol. 20(2), pages 1-11.
    5. Mathias Beiglboeck & Pierre Henry-Labordere & Nizar Touzi, 2017. "Monotone Martingale Transport Plans and Skorohod Embedding," Papers 1701.06779, arXiv.org.
    6. Charalambos D. Aliprantis & Kim C. Border, 2006. "Infinite Dimensional Analysis," Springer Books, Springer, edition 0, number 978-3-540-29587-7, September.
    7. Mathias Beiglbock & Marcel Nutz, 2014. "Martingale Inequalities and Deterministic Counterparts," Papers 1401.4698, arXiv.org, revised Oct 2014.
    8. Mathias Beiglböck & Pierre Henry-Labordère & Friedrich Penkner, 2013. "Model-independent bounds for option prices—a mass transport approach," Finance and Stochastics, Springer, vol. 17(3), pages 477-501, July.
    9. Alfred Galichon, 2017. "A survey of some recent applications of optimal transport methods to econometrics," Econometrics Journal, Royal Economic Society, vol. 20(2), pages 1-11, June.
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