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Related papers: Optimal transport and Perelman's reduced volume

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We describe some analogy between optimal transport and the Schr\"odinger problem where the transport cost is replaced by an entropic cost with a reference path measure. A dual Kantorovich type formulation and a Benamou-Brenier type…

Probability · Mathematics 2016-05-23 Ivan Gentil , Christian Léonard , Luigia Ripani

We study the problem of minimizing non-convex functionals on the space of probability measures, regularized by the relative entropy (KL divergence) with respect to a fixed reference measure, as well as the corresponding problem of solving…

Optimization and Control · Mathematics 2025-10-16 Razvan-Andrei Lascu , Mateusz B. Majka

In this paper we will give a new proof of the monotonicity of Wasserstein distances of two diffusions under super Ricci flow. Our proof is based on the coupling method of B.Andrew and J.Clutterbuck. The same method can also be applied to…

Differential Geometry · Mathematics 2014-01-21 Xian-Tao Huang

We show that, in toric Kaehler geometry, the sign of the Ricci curvature corresponds exactly to convexity properties of the volume functional. We also discuss analogous relationships in the more general context of quasi-homogeneous…

Differential Geometry · Mathematics 2023-03-14 Tommaso Pacini

We analyze continuous optimal transport problems in the so-called Kantorovich form, where we seek a transport plan between two marginals that are probability measures on compact subsets of Euclidean space. We consider the case of…

Optimization and Control · Mathematics 2020-10-28 Christian Clason , Dirk A. Lorenz , Hinrich Mahler , Benedikt Wirth

We consider some elementary aspects of the geometry of the space of probability measures endowed with Wasserstein distance. In such a setting, we discuss the various terms entering Perelman's shrinker entropy, and characterize two new…

Differential Geometry · Mathematics 2008-01-24 Mauro Carfora

We contribute to an original problem studied by Hamilton and others, in order to understand the behaviour of maximal solutions of the Ricci flow both in compact and non-compact complete orientable Riemannian manifolds of finite volume. The…

Differential Geometry · Mathematics 2023-11-21 Stefano Nardulli , Francesco G. Russo

We give a statistical interpretation of entropic optimal transport by showing that performing maximum-likelihood estimation for Gaussian deconvolution corresponds to calculating a projection with respect to the entropic optimal transport…

Statistics Theory · Mathematics 2018-09-19 Philippe Rigollet , Jonathan Weed

We tackle the inverse problem of reconstructing an unknown finite measure $\mu$ from a noisy observation of a generalized moment of $\mu$ defined as the integral of a continuous and bounded operator $\Phi$ with respect to $\mu$. When only a…

Statistics Theory · Mathematics 2009-06-03 Jean-Michel Loubes , Paul Rochet

This work deals with the asymptotic distribution of both potentials and couplings of entropic regularized optimal transport for compactly supported probabilities in $\R^d$. We first provide the central limit theorem of the Sinkhorn…

Probability · Mathematics 2024-06-06 Alberto Gonzalez-Sanz , Jean-Michel Loubes , Jonathan Niles-Weed

We present a new relation between the short time behavior of the heat flow, the geometry of optimal transport and the Ricci flow. We also show how this relation can be used to define an evolution of metrics on non-smooth metric measure…

Functional Analysis · Mathematics 2012-08-30 Nicola Gigli , Carlo Mantegazza

We prove a central limit theorem for the entropic transportation cost between subgaussian probability measures, centered at the population cost. This is the first result which allows for asymptotically valid inference for entropic optimal…

Statistics Theory · Mathematics 2022-05-05 Eustasio del Barrio , Alberto Gonzalez-Sanz , Jean-Michel Loubes , Jonathan Niles-Weed

The aim of this short note is to produce new examples of geometrical flows associated to a given Riemannian flow $g(t)$. The considered flow in covariant symmetric $2$-tensor fields will be called Ricci-Yamabe map since it involves a scalar…

Differential Geometry · Mathematics 2017-06-29 Mircea Crasmareanu , Sinem Güler

We consider a one dimensional transport model with nonlocal velocity given by the Hilbert transform and develop a global well-posedness theory of probability measure solutions. Both the viscous and non-viscous cases are analyzed. Both in…

Analysis of PDEs · Mathematics 2011-11-01 J. A. Carrillo , L. C. F. Ferreira , J. C. Precioso

The aim of this article is to show that the Monge-Kantorovich problem is the limit of a sequence of entropy minimization problems when a fluctuation parameter tends down to zero. We prove the convergence of the entropic values to the…

Optimization and Control · Mathematics 2013-08-02 Christian Léonard

We introduce a flow of Riemannian metrics over compact manifolds with formal limit at infinite time a shrinking Ricci soliton. We call this flow the Soliton-Ricci flow. It correspond to a Perelman's modified backward Ricci type flow with…

Differential Geometry · Mathematics 2012-03-19 Nefton Pali

In this paper, we define a reduced distance function based at a point at the singular time $T<\infty$ of a Ricci flow. We also show the monotonicity of the corresponding reduced volume based at time T, with equality iff the Ricci flow is a…

Differential Geometry · Mathematics 2007-11-06 Joerg Enders

We introduce two new functionals on Sasaki manifolds, inspired by the work of Perelman, which are monotonic along the Sasaki-Ricci flow. We relate their gradient flow, via diffeomorphisms preserving the foliated structure of the manifold,…

Differential Geometry · Mathematics 2011-07-08 Tristan C. Collins

The optimal transport problem is studied in the context of Lorentz-Finsler geometry. For globally hyperbolic Lorentz-Finsler spacetimes the first Kantorovich problem and the Monge problem are solved. Further the intermediate regularity of…

Differential Geometry · Mathematics 2018-04-20 Stefan Suhr

Optimal transportation provides a means of lifting distances between points on a geometric domain to distances between signals over the domain, expressed as probability distributions. On a graph, transportation problems can be used to…

Optimization and Control · Mathematics 2018-03-26 Montacer Essid , Justin Solomon