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Caffarelli Estimates under Lipschitz Perturbations

Maja Gwóźdź

Source record

Source: arXiv

Published: Sep 3, 2026

arXiv: 2609.04052

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Source abstract

We study dimension-free differential estimates for Brenier maps under first-order perturbations of the two marginals. Caffarelli's contraction theorem yields such estimates when the source and target potentials satisfy a pointwise Hessian comparison. We show that the same conclusion remains true under arbitrary globally Lipschitz perturbations of both marginals, without additional assumptions. In particular, this answers the conjecture due to Fathi, Mikulincer, and Shenfeld. More precisely, let d1d\ge1, L0L\ge0, and let B:RdRB:\mathbb{R}^d\to\mathbb{R} be globally LL-Lipschitz. We prove that the Brenier map from the standard Gaussian measure γdγ_d to the probability measure proportional to eBγd\mathrm{e}^{-B}γ_d has a globally Lipschitz representative whose bound depends only on LL. The Brenier potential also belongs to C1,1(Rd)C^{1,1}(\mathbb{R}^d) and satisfies dimension-free two-sided Hessian bounds. Let C(0,L)\mathfrak{C}(0,L) denote the upper-bound constant, then logC(0,L)=4L2+logL+O(1)(L), \log\mathfrak{C}(0,L)=4L^2+\log L+\mathcal{O}(1) \qquad(L\to\infty), and a one-dimensional example with Brenier map TLT_L satisfies logLip(TL)L2/2\log\operatorname{Lip}(T_L)\ge L^2/2. We deduce this Gaussian estimate from an anisotropic two-marginal result. Let V,W:RdRV,W:\mathbb{R}^d\to\mathbb{R} be potentials, and let Q,PQ,P be positive-definite matrices. Using the distributional curvature bounds D2VQD^2V\preceq Q and D2WPD^2W\succeq P, we establish matrix Hessian bounds for Brenier maps between arbitrary globally Lipschitz perturbations of the reference marginals. Most importantly, the constants keep the directional geometry of the essential gradient ranges. For affine perturbations, our estimates recover the sharp noncommuting Caffarelli tensor. We further obtain pointwise displacement bounds for Gaussian perturbations and spectral Hessian estimates for compact Gaussian mixtures.

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