A new class of costs for optimal transport planning

By J. Alibert, Guy Bouchitté, Thierry Champion. European journal of applied mathematics, 2018

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We study a class of optimal transport planning problems where the reference cost involves a non-linear function G(x, p) representing the transport cost between the Dirac measure δx and a target probability p. This allows to consider interesting models which favour multi-valued transport maps in contrast with the classical linear case ($G(x,p)=\int c(x,y)dp$) where finding single-valued optimal transport is a key issue. We present an existence result and a general duality principle which apply to many examples. Moreover, under a suitable subadditivity condition, we derive a Kantorovich–Rubinstein version of the dual problem allowing to show existence in some regular cases. We also consider the well studied case of Martingale transport and present some new perspectives for the existence of dual solutions in connection with Γ-convergence theory.

Subfields: Applied Mathematics

View Paper: https://www.semanticscholar.org/paper/f8b9e015c8ae3f22912ee38a1a043f357e92fe5f

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In Applied Mathematics

  1. Mathias Beiglbock
  2. Gudmund Pammer
  3. Julio D. Backhoff Veraguas
  4. Daniel Bartl
  5. Mathias Beiglboeck
  6. Nicolas Juillet
  7. Nathael Gozlan
  8. Julio Backhoff-Veraguas

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