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Quantitative Stability, Coercivity and Uniqueness of Optimal Transport Plans

Ford, William
arXiv (All) · Papers
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49k4049q22analysis-of-pdesesnumerical-analysisoptimization-and-controlstatistics-theory
For probability measures on $\mathbb{R}^d$ supported in fixed compact sets, we prove that quadratic optimal transport plans are quantitatively stable in Wasserstein distance under perturbation of both marginal measures, assuming that one of the initial measures satisfies an upper Ahlfors regularity
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