4.7 Article

Bounds on optimal transport maps onto log-concave measures

期刊

JOURNAL OF DIFFERENTIAL EQUATIONS
卷 271, 期 -, 页码 1007-1022

出版社

ACADEMIC PRESS INC ELSEVIER SCIENCE
DOI: 10.1016/j.jde.2020.09.032

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资金

  1. SNF [182565]
  2. NSF [DMS-1638352]
  3. Project MESA of the French National Research Agency (ANR) [ANR-18-CE40-006]
  4. Project EFI of the French National Research Agency (ANR) [ANR-17-CE40-0030]
  5. [ANR-11-LABX-0040-CIMI]
  6. [ANR-11-IDEX-0002-02]

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The article focuses on strictly log-concave measures and Gaussian distributions, discussing the optimal transport map between them and proving some properties of this mapping.
We consider strictly log-concave measures, whose bounds degenerate at infinity. We prove that the optimal transport map from the Gaussian onto such a measure is locally Lipschitz, and that the eigenvalues of its Jacobian have controlled growth at infinity. (C) 2020 Elsevier Inc. All rights reserved.

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