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We study a form of optimal transportation surplus functions which arise in hedonic pricing models. We derive a formula for the Ma-Trudinger-Wang curvature of these functions, yielding necessary and sufficient conditions for them to satisfy…

Analysis of PDEs · Mathematics 2011-10-14 Brendan Pass

The key condition A3w of Ma, Trudinger and Wang for regularity of optimal transportation maps is implied by the nonnegativity of a pseudo-Riemannian curvature -- which we call cross-curvature -- induced by the transportation cost. For the…

Differential Geometry · Mathematics 2008-06-03 Young-Heon Kim , Robert J. McCann

We give a necessary and sufficient condition on the cost function so that the map solution of Monge's optimal transportation problem is continuous for arbitrary smooth positive data. This condition was first introduced by Ma, Trudinger and…

Analysis of PDEs · Mathematics 2013-01-29 G. Loeper

We extend a dimensional upper bound on how much an optimal transport map can degenerate for the quadratic transportation cost, originally due to Caffarelli, to cost functions that satisfy the curvature condition of Ma, Trudinger, and Wang.

Analysis of PDEs · Mathematics 2012-11-28 Young-Heon Kim , Jun Kitagawa

In this paper, we study the Ma-Trudinger-Wang (MTW) conditions for cost functions $c$ which are of the form $c=l\circ d$, where $d$ is a Riemannian distance function with constant sectional curvature. In this case, the MTW conditions are…

Analysis of PDEs · Mathematics 2009-12-04 Paul W. Y. Lee , Jiayong Li

We study an optimal transport problem where, at some intermediate time, the mass is accelerated by either an external force field, or self-interacting. We obtain regularity of the velocity potential, intermediate density, and optimal…

Analysis of PDEs · Mathematics 2018-09-21 Jiakun Liu , Grégoire Loeper

Let M and \bar M be n-dimensional manifolds equipped with suitable Borel probability measures \rho and \bar\rho. Ma, Trudinger & Wang gave sufficient conditions on a transportation cost c \in C^4(M \times \bar M) to guarantee smoothness of…

Differential Geometry · Mathematics 2007-12-20 Young-Heon Kim , Robert J. McCann

Counterexamples to continuity of optimal transportation on Riemannian manifolds with everywhere positive sectional curvature are provided. These examples show that the condition A3w of Ma, Trudinger, & Wang is not guaranteed by positivity…

Differential Geometry · Mathematics 2007-09-12 Young-Heon Kim

We focus on Optimal Transport PDE on the unit sphere $\mathbb{S}^2$ with a particular type of cost function $c(x,y) = F(x \cdot y, x \cdot \hat{e}, y \cdot \hat{e})$ which we call cost functions with preferential direction, where $\hat{e}…

Analysis of PDEs · Mathematics 2024-07-11 Axel G. R. Turnquist

We identify a condition for regularity of optimal transport maps that requires only three derivatives of the cost function, for measures given by densities that are only bounded above and below. This new condition is equivalent to the weak…

Analysis of PDEs · Mathematics 2013-01-25 Nestor Guillen , Jun Kitagawa

For a given ground cost, approximating the Monge optimal transport map that pushes forward a given probability measure onto another has become a staple in several modern machine learning algorithms. The fourth-order Ma-Trudinger-Wang (MTW)…

Optimization and Control · Mathematics 2024-12-23 Sachin Shivakumar , Georgiy A. Bondar , Gabriel Khan , Abhishek Halder

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

A key inequality which underpins the regularity theory of optimal transport for costs satisfying the Ma--Trudinger--Wang condition is the Pogorelov second derivative bound. This translates to an apriori interior $C^1$ estimate for smooth…

Differential Geometry · Mathematics 2024-10-07 Simon Brendle , Flavien Léger , Robert J. McCann , Cale Rankin

We express the mean curvature flow of Lagrangian submanifolds in pseudo-Riemannian manifolds endowed with the Kim-McCann-Warren metric within the framework of generalized mean curvature flow on Kim-McCann manifolds. While generalized mean…

Differential Geometry · Mathematics 2026-03-26 Arunima Bhattacharya , Micah Warren , Daniel Weser

We simplify the geometric interpretation of the weak Ma-Trudinger-Wang condition for regularity in optimal transportation and provide a geometric proof of the global c-convexity of locally $c$-convex potentials when the cost function $c$ is…

Analysis of PDEs · Mathematics 2020-09-09 G. Loeper , N. S. Trudinger

This paper concerns the regularity and geometry of the free boundary in the optimal partial transport problem for general cost functions. More specifically, we prove that a $C^1$ cost implies a locally Lipschitz free boundary. As an…

Analysis of PDEs · Mathematics 2013-12-12 Shibing Chen , Emanuel Indrei

Fix a pair of smooth source and target densities $\rho$ and $\rho^*$ of equal mass, supported on bounded domains $\Omega, \Omega^* \subset \mathbb{R}^n$. Also fix a cost function $c_0 \in C^{4,\alpha}(\overline{\Omega} \times…

Analysis of PDEs · Mathematics 2021-08-04 Farhan Abedin , Jun Kitagawa

The stability of solutions to optimal transport problems under variation of the measures is fundamental from a mathematical viewpoint: it is closely related to the convergence of numerical approaches to solve optimal transport problems and…

Numerical Analysis · Mathematics 2022-07-25 Anatole Gallouët , Quentin Mérigot , Boris Thibert

We are interested in the cost-convex potentials in optimal mass transport theory, and we show by direct and geometric arguments the equivalence between cost-subdifferentials and ordinary subdifferentials of cost-convex functions, under the…

Analysis of PDEs · Mathematics 2007-06-11 Young-Heon Kim , Robert J. McCann

We study the information geometry of $\bcc$-divergences from families of costs of the form $\mathsf{c}(x, \barx) =\mathsf{u}(x^{\mathfrak{t}}\barx)$ through the optimal transport point of view. Here, $\mathsf{u}$ is a scalar function with…

Analysis of PDEs · Mathematics 2025-12-02 Du Nguyen
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