Optimal transportation between unequal dimensions
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Abstract (arXiv)
We establish that solving an optimal transportation problem in which the source and target densities are defined on manifolds with different dimensions, is equivalent to solving a new nonlocal analog of the Monge-Amp`ere equation, introduced here for the first time. Under suitable topological conditions, we also establish that solutions are smooth if and only if a local variant of the same equation admits a smooth and uniformly elliptic solution. We show that this local equation is elliptic, and C2,α solutions can therefore be bootstrapped to obtain higher regularity results, assuming smoothness of the corresponding differential operator, which we prove under simplifying assumptions. For one-dimensional targets, our sufficient criteria for regularity of solutions to the resulting ODE are considerably less restrictive than those required by earlier works.
Key facts. Cited by 6 papers in the map (data through 14 Oct 2026). First posted on arXiv 28 May 2018.
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Citing papers per year: 2021: 3; 2022: 0; 2023: 0; 2024: 1; 2025: 1; 2026: 1.
6 papers.
- 2021Generative Modeling with Optimal Transport Mapscited by 82
- 2021Neural Monge Map estimation and its applicationscited by 40
- 2021High-Dimensional Distribution Generation Through Deep Neural Networkscited by 5
- 2024Demographic parity in regression and classification within the unawareness frameworkcited by 2
- 2025A primer on optimal transport for causal inference with observational datacited by 2
- 2026Sample Complexity of Transfer Learning: An Optimal Transport Approachcited by 0
- 2026Sample Complexity of Transfer Learning: An Optimal Transport Approach19 May 2026
- 2025A primer on optimal transport for causal inference with observational data10 Mar 2025
- 2024Demographic parity in regression and classification within the unawareness framework4 Sep 2024
- 2021Generative Modeling with Optimal Transport Maps6 Oct 2021
- 2021High-Dimensional Distribution Generation Through Deep Neural Networks26 Jul 2021
- 2021Neural Monge Map estimation and its applications7 Jun 2021