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Using Lipschitz distance on Outer space we give another proof of the train track theorem.

Group Theory · Mathematics 2011-02-03 Mladen Bestvina

We show that, for a separable and complete metric space $M$, the Lipschitz-free space $\mathcal F(M)$ embeds linearly and almost-isometrically into $\ell_1$ if and only if $M$ is a subset of an $\mathbb R$-tree with length measure 0.…

Functional Analysis · Mathematics 2022-03-16 Ramón J. Aliaga , Colin Petitjean , Antonín Procházka

We study the optimal transport problem on globally hyperbolic spacetimes associated with Orlicz-type Lorentzian cost functions of the form $u \circ \ell$, where $u$ is a suitable monotonically increasing and concave function, and $\ell$ is…

Differential Geometry · Mathematics 2026-05-14 Argam Ohanyan , Marta Sálamo Candal

Optimal transport provides an inherently geometric and highly structured framework for studying spaces of probability measures, supplying a rich theoretical toolkit for contemporary statistics, machine learning, and generative modelling. In…

Statistics Theory · Mathematics 2026-05-21 Riccardo Passeggeri , Rohan M. Shenoy , Pengcheng Ye

Inspired by the recent theory of Entropy-Transport problems and by the $\mathbf{D}$-distance of Sturm on normalised metric measure spaces, we define a new class of complete and separable distances between metric measure spaces of possibly…

Metric Geometry · Mathematics 2022-11-11 Nicoló De Ponti , Andrea Mondino

We find general conditions under which Lipschitz-free spaces over metric spaces are isomorphic to their infinite direct $\ell_1$-sum and exhibit several applications. As examples of such applications we have that Lipschitz-free spaces over…

Functional Analysis · Mathematics 2021-10-08 Fernando Albiac , Jose L. Ansorena , Marek Cuth , Michal Doucha

The goal of optimal transport (OT) is to find optimal assignments or matchings between data sets which minimize the total cost for a given cost function. However, sometimes the cost function is unknown but we have access to (parts of) the…

Optimization and Control · Mathematics 2026-05-28 Alberto González-Sanz , Michel Groppe , Axel Munk

We suggest a new way of defining optimal transport of positive-semidefinite matrix-valued measures. It is inspired by a recent rendering of the incompressible Euler equations and related conservative systems as concave maximization…

Optimization and Control · Mathematics 2019-07-16 Yann Brenier , Dmitry Vorotnikov

We study the convergence of the transport plans $\gamma_\epsilon$ towards $\gamma_0$ as well as the cost of the entropy-regularized optimal transport $(c,\gamma_\epsilon)$ towards $(c,\gamma_0)$ as the regularization parameter $\epsilon$…

Optimization and Control · Mathematics 2025-12-05 Hugo Malamut , Maxime Sylvestre

We introduce dynamic and static formulations that formally extend unbalanced optimal transport from the space of positive densities to the space of Riemannian metrics. The first construction is based on a dynamic variational formulation in…

Differential Geometry · Mathematics 2026-05-27 Martin Bauer , Peter W. Michor , François-Xavier Vialard

The quadratically regularized optimal transport problem has recently been considered in various applications where the coupling needs to be \emph{sparse}, i.e., the density of the coupling needs to be zero for a large subset of the product…

Analysis of PDEs · Mathematics 2024-08-01 Alejandro Garriz-Molina , Alberto González-Sanz , Gilles Mordant

In the optimal partial transport problem, one is asked to transport a fraction $0<m \leq \min\{||f||_{L^1}, ||g||_{L^1}\}$ of the mass of $f=f \chi_\Omega$ onto $g=g\chi_\Lambda$ while minimizing a transportation cost. If $f$ and $g$ are…

Analysis of PDEs · Mathematics 2013-03-21 Emanuel Indrei

Gromov-Wasserstein (GW) distances are combinations of Gromov-Hausdorff and Wasserstein distances that allow the comparison of two different metric measure spaces (mm-spaces). Due to their invariance under measure- and distance-preserving…

Optimization and Control · Mathematics 2023-07-14 Florian Beier , Robert Beinert , Gabriele Steidl

The Gromov--Wasserstein problem is a non-convex optimization problem over the polytope of transportation plans between two probability measures supported on two spaces, each equipped with a cost function evaluating similarities between…

Optimization and Control · Mathematics 2024-07-30 Théo Dumont , Théo Lacombe , François-Xavier Vialard

The equations of parallel transport for a non-linear connection on phase space are examined. It is shown that, for a free-particle Lagrangian, the connection term first-order in momentum reproduces the geodesic equation of General…

Mathematical Physics · Physics 2007-05-23 John H. van Drie

We consider a covariant approach to coarse-graining a network of interacting Nambu-Goto strings. A transport equation is constructed for a spatially flat Friedmann universe. In Minkowski space and with no spatial dependence this model…

High Energy Physics - Theory · Physics 2016-03-29 Daniel Schubring , Vitaly Vanchurin

This thesis discusses the possibility of uncertainty relations for space and energy given a state of fixed entropy. In particular, it discusses the results in the paper of Dam/Nguyen. There, the authors propose a lower bound for the mixed…

Quantum Physics · Physics 2016-10-17 Christoph Haupt

We compute the Lipschitz-free spaces of subsets of the real line and characterize subsets of metric trees by the fact that their Lipschitz-free space is isometric to a subspace of $L_1$.

Functional Analysis · Mathematics 2009-04-22 Alexandre Godard

In this paper, we prove that, under precise spectral assumptions, some finite difference approximations of scalar leftgoing transport equations on the positive half-line with numerical boundary conditions are $\ell^1$-stable but…

Numerical Analysis · Mathematics 2023-10-25 Lucas Coeuret

We study the stability of entropically regularized optimal transport with respect to the marginals. Lipschitz continuity of the value and H\"older continuity of the optimal coupling in $p$-Wasserstein distance are obtained under general…

Optimization and Control · Mathematics 2022-07-06 Stephan Eckstein , Marcel Nutz