Breakdown properties of optimal transport maps: general transportation costs
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arXiv
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| Format: | Preprint |
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2026
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| _version_ | 1866912969466576896 |
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| author | Gonzalez-Sanz, Alberto Medina, Marco Avella |
| author_facet | Gonzalez-Sanz, Alberto Medina, Marco Avella |
| contents | Two recent works, Avella-Medina and González-Sanz (2026) and Passeggeri and Paindaveine (2026), studied the robustness of the optimal transport map through its breakdown point, i.e., the smallest fraction of contamination that can make the map take arbitrarily aberrant values. Their main finding is the following: let $P$ and $Q$ denote the target and reference measures, respectively, and let $T$ be the optimal transport map for the squared Euclidean cost. Then, the breakdown point of $T(u)$, when $P$ is perturbed and $Q$ is fixed, coincides with the Tukey depth of $u$ relative to $Q$. In this note, we extend this result to general convex cost functions, demonstrating that the cost function does not have any impact on the breakdown point of the optimal transport map. Our contribution provides a definitive characterization of the breakdown point of the optimal transport map. In particular, it shows that for a broad class of regular cost functions, all transport-based quantiles enjoy the same high breakdown point properties. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2603_16005 |
| institution | arXiv |
| publishDate | 2026 |
| record_format | arxiv |
| spellingShingle | Breakdown properties of optimal transport maps: general transportation costs Gonzalez-Sanz, Alberto Medina, Marco Avella Statistics Theory Machine Learning 62G35, 62G30 Two recent works, Avella-Medina and González-Sanz (2026) and Passeggeri and Paindaveine (2026), studied the robustness of the optimal transport map through its breakdown point, i.e., the smallest fraction of contamination that can make the map take arbitrarily aberrant values. Their main finding is the following: let $P$ and $Q$ denote the target and reference measures, respectively, and let $T$ be the optimal transport map for the squared Euclidean cost. Then, the breakdown point of $T(u)$, when $P$ is perturbed and $Q$ is fixed, coincides with the Tukey depth of $u$ relative to $Q$. In this note, we extend this result to general convex cost functions, demonstrating that the cost function does not have any impact on the breakdown point of the optimal transport map. Our contribution provides a definitive characterization of the breakdown point of the optimal transport map. In particular, it shows that for a broad class of regular cost functions, all transport-based quantiles enjoy the same high breakdown point properties. |
| title | Breakdown properties of optimal transport maps: general transportation costs |
| topic | Statistics Theory Machine Learning 62G35, 62G30 |
| url | https://arxiv.org/abs/2603.16005 |