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This paper is concerned with six variational problems and their mutual connections: The quadratic Monge-Kantorovich optimal transport, the Schr\"odinger problem, Brenier's relaxed model for incompressible fluids, the so-called Br\"odinger…

Analysis of PDEs · Mathematics 2019-08-09 Aymeric Baradat , Léonard Monsaingeon

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

The aim of the present paper is to extend Kantorovich's mass transport problem to the framework of upper/lower continuous capacities and to prove the cyclic monotonicity of the supports of optimal supermodular plans. As in the probabilistic…

Classical Analysis and ODEs · Mathematics 2019-12-17 Sorin G. Gal , Constantin P. Niculescu

We exhibit a surprising relationship between elliptic gradient systems of PDEs, multi-marginal Monge-Kantorovich optimal transport problem, and multivariable Hardy-Littlewood inequalities. We show that the notion of an orientable elliptic…

Analysis of PDEs · Mathematics 2013-08-22 Nassif Ghoussoub , Brendan Pass

We prove existence of equal area partitions of the unit sphere via optimal transport methods, accompanied by diameter bounds written in terms of Monge--Kantorovich distances. This can be used to obtain bounds on the expectation of the…

Optimization and Control · Mathematics 2025-02-21 Jun Kitagawa , Asuka Takatsu

For probability measures on a complete separable metric space, we present sufficient conditions for the existence of a solution to the Kantorovich transportation problem. We also obtain sufficient conditions (which sometimes also become…

Probability · Mathematics 2007-06-13 S. Ekisheva , C. Houdré

We establish a variant of Monge--Kantorovich duality for a constrained optimal transport problem with a continuum of agents, a finite set of alternatives, and general linear constraints. As an application, we revisit the large-market model…

Theoretical Economics · Economics 2026-04-06 Koji Yokote

In this paper, we give a new characterization of the cut locus of a point on a compact Riemannian manifold as the zero set of the optimal transport density solution of the Monge-Kantorovich equations, a PDE formulation of the optimal…

Numerical Analysis · Mathematics 2021-12-15 Enrico Facca , Luca Berti , Francesco Fassó , Mario Putti

We propose center-outward superquantile and expected shortfall functions, with applications to multivariate risk measurements, extending the standard notion of value at risk and conditional value at risk from the real line to…

Statistics Theory · Mathematics 2024-08-26 Bernard Bercu , Jeremie Bigot , Gauthier Thurin

Given two compact metric spaces $X$ and $Y$, a Lipschitz continuous cost function $c$ on $X \times Y$ and two probabilities $\mu \in\mathcal{P}(X),\,\nu\in\mathcal{P}(Y)$, we propose to study the Monge-Kantorovich problem and its duality…

Dynamical Systems · Mathematics 2025-02-03 Jairo K. Mengue

The multistochastic $ (n,k)$-Monge--Kantorovich problem on a product space $\prod_{i=1}^n X_i$ is an extension of the classical Monge--Kantorovich problem. This problem is considered on the space of measures with fixed projections onto…

Functional Analysis · Mathematics 2018-03-29 Nikita A. Gladkov , Alexander V. Kolesnikov , Alexander P. Zimin

We present an adaptation of the MA-LBR scheme to the Monge-Amp{\`e}re equation with second boundary value condition, provided the target is a convex set. This yields a fast adaptive method to numerically solve the Optimal Transport problem…

Numerical Analysis · Mathematics 2018-07-19 Jean-David Benamou , Vincent Duval

We study optimal transport between probability measures supported on the same finite metric space, where the ground cost is a distance induced by a weighted connected graph. Building on recent work showing that the resulting Kantorovich…

Optimization and Control · Mathematics 2026-01-14 Jérémie Bigot , Luis Fredes

We consider an optimal transport problem between laws of random probability measures: given a base cost function, we build the associated OT cost between probability measures that in turn we use to define the OT cost between probability…

Optimization and Control · Mathematics 2026-05-05 Alessandro Pinzi

The dual attainment of the Monge--Kantorovich transport problem is analyzed in a general setting. The spaces $X, Y$ are assumed to be polish and equipped with Borel probability measures $\mu$ and $\nu$. The transport cost function $c:\XY…

Optimization and Control · Mathematics 2020-07-17 Mathias Beiglböck , Christian Léonard , Walter Schachermayer

This paper introduces a fast and robust iterative scheme for the elliptic Monge-Amp\`ere equation with Dirichlet boundary conditions. The Monge-Amp\`ere equation is a nonlinear and degenerate equation, with applications in optimal…

Numerical Analysis · Mathematics 2025-09-16 R. N. Köhle , K. T. W. Menting , K. Mitra , J. H. M. ten Thije Boonkkamp

In this paper, we prove that there exists a unique solution to the Dirichlet boundary value problem for a general class of semilinear second order elliptic partial differential equations. Our approach is probabilistic. The theory of…

Probability · Mathematics 2012-11-19 Tusheng Zhang

Let $X,Y$ be two finite sets of points having $\#X = m$ and $\#Y = n$ points with $\mu = (1/m) \sum_{i=1}^{m} \delta_{x_i}$ and $\nu = (1/n) \sum_{j=1}^{n} \delta_{y_j}$ being the associated uniform probability measures. A result of…

Optimization and Control · Mathematics 2022-06-02 Bamdad Hosseini , Stefan Steinerberger

We introduce a one-parameter family of metrics on the space of Borel probability measures on Euclidean space with finite $p$th moment for $1\leq p <\infty$, called the $\textit{sliced Monge--Kantorovich metrics}$, which include the sliced…

Metric Geometry · Mathematics 2024-05-29 Jun Kitagawa , Asuka Takatsu

We present generalized versions of Monge's and Kantorovich's optimal transport problems with the probabilities being transported replaced by lower probabilities. We show that, when the lower probabilities are the lower envelopes of…

Machine Learning · Statistics 2025-04-21 Michele Caprio
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