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This research establishes rigorous geometric conditions under which high-dimensional optimal transport problems become tractable via classical Monge structures, specifically analyzing cone-induced orders and squared Mahalanobis costs. By deriving exact variational representations for regret when these structural inequalities fail, the work provides a theoretical framework to quantify global loss arising from local deviations in ordered geometry. These findings are significant for advancing the mathematical foundations of algorithms that rely on efficient transport plan computation in complex feature spaces.
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From Cone Geometry to Monge Structure: Local Defects and Global Regret in High-Dimensional Optimal Transport

arXiv2 min read

arXiv:2606.04695v2 Announce Type: replace Abstract: Exact optimal transport in high dimensions becomes tractable only when additional structure selects the optimal coupling. Classical Monge transportation solves the discrete problem once a cost array is known to be Monge, but it does not explain when geometry in the original feature space creates that structure. We characterize this regime for cone-induced orders and squared Mahalanobis costs: Macuteness of the cone is equivalent to the Monge property of every cross-cost matrix generated by two cone chains, after which classical northwest-corner optimality gives exact transport. When the inequalities fail, we derive an exact variational representation of northwestcorner regret over a marginal-dependent cumulative-deficit polytope. Its Fr\'echet box relaxation yields a projection-free, marginal-weighted localdefect bound; we characterize when the relaxation is exact and prove that it is worst-case sharp when only local defect budgets are known. We further show that the worst-case defect patterns can be realized by genuine squared-Euclidean cross-costs. Finally, Mahalanobis distances of observed increments to the cone control the local defects, while a strict geometric margin gives an explicit radius of exact stability. The resulting theory links high-dimensional ground-space geometry to exact Monge transport and quantifies the global loss induced by local departures from ordered structure.

Abstract:Exact optimal transport in high dimensions becomes tractable only when additional structure selects the optimal coupling. Classical Monge transportation solves the discrete problem once a cost array is known to be Monge, but it does not explain when geometry in the original feature space creates that structure. We characterize this regime for cone-induced orders and squared Mahalanobis costs: Macuteness of the cone is equivalent to the Monge property of every cross-cost matrix generated by two cone chains, after which classical northwest-corner optimality gives exact transport. When the inequalities fail, we derive an exact variational representation of northwestcorner regret over a marginal-dependent cumulative-deficit polytope. Its Fréchet box relaxation yields a projection-free, marginal-weighted localdefect bound; we characterize when the relaxation is exact and prove that it is worst-case sharp when only local defect budgets are known. We further show that the worst-case defect patterns can be realized by genuine squared-Euclidean cross-costs. Finally, Mahalanobis distances of observed increments to the cone control the local defects, while a strict geometric margin gives an explicit radius of exact stability. The resulting theory links high-dimensional ground-space geometry to exact Monge transport and quantifies the global loss induced by local departures from ordered structure.

Machine Learning (cs.LG)

arXiv:2606.04695 [cs.LG]

(or arXiv:2606.04695v2 [cs.LG] for this version)

https://doi.org/10.48550/arXiv.2606.04695 Focus to learn more arXiv-issued DOI via DataCite

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Full text under the publisher's open licence · 289 words

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