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We prove that if $\Omega\subset \mathbb{R}^{n+1}$ is a (not necessarily strictly) convex, $C^1$ domain, and $\mu$ and $\bar{\mu}$ are probability measures absolutely continuous with respect to surface measure on $\partial \Omega$, with…

Analysis of PDEs · Mathematics 2025-03-11 Seonghyeon Jeong , Jun Kitagawa

We analyze controlled mass transportation plans with free end-time that minimize the transport cost induced by the generating function of a Lagrangian within a bounded domain, in addition to costs incurred as export and import tariffs at…

Analysis of PDEs · Mathematics 2019-03-07 Samer Dweik , Nassif Ghoussoub , Aaron Zeff Palmer

We address the problem of optimal transport with a quadratic cost functional and a constraint on the flux through a constriction along the path. The constriction, conceptually represented by a toll station, limits the flow rate across. We…

Systems and Control · Electrical Eng. & Systems 2023-05-02 Arthur Stephanovitch , Anqi Dong , Tryphon T. Georgiou

We study the optimal boundary regularity of solutions to Dirichlet problems involving the logarithmic Laplacian. Our proofs are based on the construction of suitable barriers via the Kelvin transform and direct computations. As applications…

Analysis of PDEs · Mathematics 2024-07-08 Víctor Hernández-Santamaría , Luis Fernando López Ríos , Alberto Saldaña

It was recently shown that under smoothness conditions, the squared Wasserstein distance between two distributions could be efficiently computed with appealing statistical error upper bounds. However, rather than the distance itself, the…

Machine Learning · Statistics 2021-12-30 Boris Muzellec , Adrien Vacher , Francis Bach , François-Xavier Vialard , Alessandro Rudi

We prove a $C^{1,\alpha}$ interior regularity theorem for fully nonlinear uniformly elliptic integro-differential equations without assuming any regularity of the kernel. We then give some applications to linear theory and higher regularity…

Analysis of PDEs · Mathematics 2014-04-07 Dennis Kriventsov

This article is concerned with ``up to $C^{2, \alpha}$-regularity results'' about a mixed local-nonlocal nonlinear elliptic equation which is driven by the superposition of Laplacian and fractional Laplacian operators. First of all, an…

Analysis of PDEs · Mathematics 2024-11-18 Xifeng Su , Enrico Valdinoci , Yuanhong Wei , Jiwen Zhang

The interior free boundary theory for linear elliptic operators in higher dimensions was developed by Caffarelli in the low regularity context. In these notes, the up-to-the boundary free boundary regularity is discussed for nonlinear…

Analysis of PDEs · Mathematics 2020-08-27 Emanuel Indrei

Let $L=\DD+Z$ for a $C^1$ vector field $Z$ on a complete Riemannian manifold possibly with a boundary. By using the uniform distance, a number of transportation-cost inequalities on the path space for the (reflecting) $L$-diffusion process…

Probability · Mathematics 2009-08-21 Feng-Yu Wang

We study the regularity of the "free surface" in boundary obstacle problems. We show that near a non-degenerate point the free boundary is a $C^{1,\alpha}$ $(n-2)$-dimensional surface in $\real^{n-1}$.

Analysis of PDEs · Mathematics 2007-05-23 I. Athanasopoulos , L. A. Caffarelli , S. Salsa

We study the regularity of solutions to an optimal transportation problem where the dimension of the source is larger than that of the target. We demonstrate that if the target is $c$-convex, then the source has a canonical foliation whose…

Analysis of PDEs · Mathematics 2010-08-27 Brendan Pass

In this paper, we want to establish some general results in the Lorentzian optimal transport theory that have well-known Riemannian counterparts. As a first result, we will provide non-trivial assumptions on the measures to ensure strong…

Optimization and Control · Mathematics 2026-01-15 Alec Metsch

Recent findings for optimal transport maps between distribution functions sharing the same copula show that componentwise the solution is the optimal map between marginal distributions. This is an important discovery since in the…

Probability · Mathematics 2020-07-15 Novin Ghaffari , Stephen Walker

We study the optimal transport problem in sub-Riemannian manifolds where the cost function is given by the square of the sub-Riemannian distance. Under appropriate assumptions, we generalize Brenier-McCann's Theorem proving existence and…

Optimization and Control · Mathematics 2009-10-15 Alessio Figalli , Ludovic Rifford

In many applications of optimal transport (OT), the object of primary interest is the optimal transport map. This map rearranges mass from one probability distribution to another in the most efficient way possible by minimizing a specified…

Statistics Theory · Mathematics 2025-06-25 Sivaraman Balakrishnan , Tudor Manole , Larry Wasserman

Let $X$ and $Y$ be domains of $\mathbb{R}^n$ equipped with respective probability measures $\mu$ and $ \nu$. We consider the problem of optimal transport from $\mu$ to $\nu$ with respect to a cost function $c: X \times Y \to \mathbb{R}$. To…

Optimization and Control · Mathematics 2020-05-27 Gabriel Khan , Jun Zhang

We analyze two algorithms for approximating the general optimal transport (OT) distance between two discrete distributions of size $n$, up to accuracy $\varepsilon$. For the first algorithm, which is based on the celebrated Sinkhorn's…

Data Structures and Algorithms · Computer Science 2018-06-08 Pavel Dvurechensky , Alexander Gasnikov , Alexey Kroshnin

We prove discrete-to-continuum convergence for dynamical optimal transport on $\mathbb{Z}^d$-periodic graphs with energy density having linear growth at infinity. This result provides an answer to a problem left open by Gladbach, Kopfer,…

Optimization and Control · Mathematics 2026-05-20 Lorenzo Portinale , Filippo Quattrocchi

The classical problem of optimal transportation can be formulated as a linear optimization problem on a convex domain: among all joint measures with fixed marginals find the optimal one, where optimality is measured against a cost function.…

Optimization and Control · Mathematics 2012-11-29 Jonathan Korman , Robert J. McCann

We use the transport methods developped in [3] to obtain universality results for local statistics of eigenvalues in the bulk and at the edge for $\beta$-matrix models in the multi-cut regime. We construct an approximate transport map…

Probability · Mathematics 2017-08-04 Florent Bekerman