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Some classical mass transportation problems are investigated in a finitely additive setting. Let $\Omega=\prod_{i=1}^n\Omega_i$ and $\mathcal{A}=\otimes_{i=1}^n\mathcal{A}_i$, where $(\Omega_i,\mathcal{A}_i,\mu_i)$ is a ($\sigma$-additive)…

Probability · Mathematics 2022-08-24 Pietro Rigo

This is the lecture notes on the interplay between optimal transport and Riemannian geometry. On a Riemannian manifold, the convexity of entropy along optimal transport in the space of probability measures characterizes lower bounds of the…

Classical Analysis and ODEs · Mathematics 2010-09-20 Shin-Ichi Ohta

The primary purpose of this note is to provide an instructional summary of the state of the art regarding cyclic monotonicity and related notions. We will also present how these notions are tied to optimality in the optimal transport (or…

Optimization and Control · Mathematics 2024-02-14 L. De Pascale , A. Kausamo , K. Wyczesany

There are well-established connections between combinatorial optimization, optimal transport theory and Hydrodynamics, through the linear assignment problem in combinatorics, the Monge-Kantorovich problem in optimal transport theory and the…

Analysis of PDEs · Mathematics 2014-10-02 Yann Brenier

In this paper, we study optimal transportation problems for multifractal random measures. Since these measures are much less regular than optimal transportation theory requires, we introduce a new notion of transportation which is…

Probability · Mathematics 2010-09-02 Rémi Rhodes , Vincent Vargas

Structured equations are a standard modeling tool in mathematical biology. They areintegro-differential equations where the unknown depends on one or several variables, representing the state or phenotype of individuals. A large literature…

Analysis of PDEs · Mathematics 2021-02-09 Nicolas Fournier , Benoît Perthame

We discuss the Monge problem of mass transportation in the framework of stochastic thermodynamics and revisit the problem of the Landauer limit for finite-time thermodynamics, a problem that got the interest of Krzysztof Gawedzki in the…

Statistical Mechanics · Physics 2022-09-16 Jean-Pierre Eckmann , Carlos Mejia-Monasterio

We provide a framework to approximate the 2-Wasserstein distance and the optimal transport map, amenable to efficient training as well as statistical and geometric analysis. With the quadratic cost and considering the Kantorovich dual form…

Optimization and Control · Mathematics 2019-02-20 Amirhossein Taghvaei , Amin Jalali

This is our first paper on the extension of our recent work on the Lax-Oleinik commutators and its applications to the intrinsic approach of propagation of singularities of the viscosity solutions of Hamilton-Jacobi equations. We…

Analysis of PDEs · Mathematics 2024-02-07 Wei Cheng , Jiahui Hong , Tianqi Shi

Let $M,N$ be two smooth compact hypersurfaces of $\mathbb{R}^n$ which bound strictly convex domains equipped with two absolutely continuous measures $\mu$ and $\nu$ (with respect to the volume measures of $M$ and $N$). We consider the…

Differential Geometry · Mathematics 2015-07-10 Emmanuel Humbert , Luc Molinet

We investigate the properties of convex functions in the plane that satisfy a local inequality which generalizes the notion of sub-solution of Monge-Ampere equation for a Monge-Kantorovich problem with quadratic cost between non-absolutely…

Analysis of PDEs · Mathematics 2021-04-08 P. -E. Jabin , A. Mellet , M. Molina

Optimal transport is a powerful framework for computing distances between probability distributions. We unify the two main approaches to optimal transport, namely Monge-Kantorovitch and Sinkhorn-Cuturi, into what we define as Tsallis…

Machine Learning · Computer Science 2016-09-16 Boris Muzellec , Richard Nock , Giorgio Patrini , Frank Nielsen

This paper studies the convergence rates of optimal transport (OT) map estimators, a topic of growing interest in statistics, machine learning, and various scientific fields. Despite recent advancements, existing results rely on regularity…

Statistics Theory · Mathematics 2024-12-12 Yizhe Ding , Runze Li , Lingzhou Xue

This paper shows that the semi-dual formulation of the optimal transport problem has a degenerate saddle-point structure, and that its numerical solution is equivalent to solving a constrained optimization problem. We derive necessary and…

Optimization and Control · Mathematics 2026-05-20 Anton Selitskiy , David Millard

We introduce fast algorithms for generalized unnormalized optimal transport. To handle densities with different total mass, we consider a dynamic model, which mixes the $L^p$ optimal transport with $L^p$ distance. For $p=1$, we derive the…

Numerical Analysis · Mathematics 2021-04-07 Wonjun Lee , Rongjie Lai , Wuchen Li , Stanley Osher

We study Kantorovich type optimal transportation problems with nonlinear cost functions, including dependence on conditional measures of transport plans. A range of nonlinear Kantorovich problems for cost functions of a special form is…

Functional Analysis · Mathematics 2022-12-21 Svetlana Popova

We show that existence and uniqueness of solutions to transported Monge-Ampere problem on complex compact toric manifold follows easily from the real theory of optimal transportation.

Analysis of PDEs · Mathematics 2021-02-18 Szymon Myga

We consider the simultaneous optimal transportation of measures, where the target marginal is not necessarily fixed. For this problem, we prove the existence of a solution for completely regular spaces and investigate the structure of the…

Probability · Mathematics 2024-11-26 Kirill Sokolov

We analyze optimal transport problems with additional entropic cost evaluated along curves in the Wasserstein space which join two probability measures $m_0,m_1$. The effect of the additional entropy functional results into an elliptic…

Analysis of PDEs · Mathematics 2022-11-18 Alessio Porretta

In this article we prove the existence of a stochastic optimal transference plan for a stochastic Monge-Kantorovich problem by measurable selection theorem. A stochastic version of Kantorovich duality and the characterization of stochastic…

Probability · Mathematics 2010-02-12 Xicheng Zhang
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