activity
20102025
most citedRicci curvature of finite Markov chains via convexity of the entropy

128 citations · 197 across the 16 of their papers we have counts for

collaborators

27 papers

math.DG2025

Synthetic approaches to Ricci flows

Matthias Erbar, Marco Flaim, Eric Hupp +3

We review different notions of synthetic Ricci flow that apply to time-dependent families of metric measure spaces and which are based on properties of the heat flow, ideas from op…

math.DG2025

Synthetic notions of Ricci flow for metric measure spaces

Matthias Erbar, Zhenhao Li, Timo Schultz

We develop different synthetic notions of Ricci flow in the setting of time-dependent metric measure spaces based on ideas from optimal transport. They are formulated in terms of d…

math.PR2023★ 1 cited

Optimal transport of stationary point processes: Metric structure, gradient flow and convexity of the specific entropy

Matthias Erbar, Martin Huesmann, Jonas Jalowy +1

We develop a theory of optimal transport for stationary random measures with a focus on stationary point processes and construct a family of distances on the set of stationary rand…

math.NA2023★ 2 cited

Approximation of Splines in Wasserstein Spaces

Jorge Justiniano, Martin Rumpf, Matthias Erbar

This paper investigates a time discrete variational model for splines in Wasserstein spaces to interpolate probability measures. Cubic splines in Euclidean space are known to minim…

math.AP2023★ 3 cited

Covariance-modulated optimal transport and gradient flows

Martin Burger, Matthias Erbar, Franca Hoffmann +2

We study a variant of the dynamical optimal transport problem in which the energy to be minimised is modulated by the covariance matrix of the distribution. Such transport metrics…

math.AP2021

Gradient flow formulation of diffusion equations in the Wasserstein space over a metric graph

Matthias Erbar, Dominik Forkert, Jan Maas +1

This paper contains two contributions in the study of optimal transport on metric graphs. Firstly, we prove a Benamou-Brenier formula for the Wasserstein distance, which establishe…

math.FA2020★ 1 cited

Tamed spaces -- Dirichlet spaces with distribution-valued Ricci bounds

Matthias Erbar, Chiara Rigoni, Karl-Theodor Sturm +1

We develop the theory of tamed spaces which are Dirichlet spaces with distribution-valued lower bounds on the Ricci curvature and investigate these from an Eulerian point of view.…

math.PR2019★ 8 cited

Entropic curvature and convergence to equilibrium for mean-field dynamics on discrete spaces

Matthias Erbar, Max Fathi, André Schlichting

We consider non-linear evolution equations arising from mean-field limits of particle systems on discrete spaces. We investigate a notion of curvature bounds for these dynamics bas…

math.PR2018★ 3 cited

The one-dimensional log-gas free energy has a unique minimiser

Matthias Erbar, Martin Huesmann, Thomas Leblé

We prove that, at every positive temperature, the infinite-volume free energy of the one dimensional log-gas, or beta-ensemble, has a unique minimiser, which is the Sine-beta proce…

math.MG2018

On the geometry of geodesics in discrete optimal transport

Matthias Erbar, Jan Maas, Melchior Wirth

We consider the space of probability measures on a discrete set , endowed with a dynamical optimal transport metric. Given two probability measures supported in a subset $Y \sub…

math.DG2018

Super Ricci flows for weighted graphs

Matthias Erbar, Eva Kopfer

We present a notion of super Ricci flow for time-dependent finite weighted graphs. A challenging feature is that these flows typically encounter singularities where the underlying…

math.DG2017

Rigidity of cones with bounded Ricci curvature

Matthias Erbar, Karl-Theodor Sturm

We show that the only metric measure space with the structure of an -cone and with two-sided synthetic Ricci bounds is the Euclidean space for integer. T…

math.NA2017

Computation of Optimal Transport on Discrete Metric Measure Spaces

Matthias Erbar, Martin Rumpf, Bernhard Schmitzer +1

In this paper we investigate the numerical approximation of an analogue of the Wasserstein distance for optimal transport on graphs that is defined via a discrete modification of t…

math.PR2016

Poincaré, modified logarithmic Sobolev and isoperimetric inequalities for Markov chains with non-negative Ricci curvature

Matthias Erbar, Max Fathi

We study functional inequalities for Markov chains on discrete spaces with entropic Ricci curvature bounded from below. Our main results are that when curvature is non-negative, bu…

math.AP2016★ 5 cited

A gradient flow approach to the Boltzmann equation

Matthias Erbar

We show that the spatially homogeneous Boltzmann equation evolves as the gradient flow of the entropy with respect to a suitable geometry on the space of probability measures which…

math.DG2016

Smoothing and non-smoothing via a flow tangent to the Ricci flow

Matthias Erbar, Nicolas Juillet

We study a transformation of metric measure spaces introduced by Gigli and Mantegazza consisting in replacing the original distance with the length distance induced by the transpor…

math.PR2016

Ricci curvature bounds for weakly interacting Markov chains

Matthias Erbar, Christopher Henderson, Georg Menz +1

We establish a general perturbative method to prove entropic Ricci curvature bounds for interacting stochastic particle systems. We apply this method to obtain curvature bounds in…

math.PR2016★ 32 cited

Gradient flow structure for McKean-Vlasov equations on discrete spaces

Matthias Erbar, Max Fathi, Vaios Laschos +1

In this work, we show that a family of non-linear mean-field equations on discrete spaces can be viewed as a gradient flow of a natural free energy functional with respect to a cer…

math.FA2015

Optimal transport, Cheeger energies and contractivity of dynamic transport distances in extended spaces

Luigi Ambrosio, Matthias Erbar, Giuseppe Savaré

We introduce the setting of extended metric-topological measure spaces as a general "Wiener-like" framework for optimal transport problems and nonsmooth metric analysis in infinite…

math.PR2015

From large deviations to Wasserstein gradient flows in multiple dimensions

Matthias Erbar, Jan Maas, Michiel Renger

We study the large deviation rate functional for the empirical distribution of independent Brownian particles with drift. In one dimension, it has been shown by Adams, Dirr, Peleti…

math.PR2014

Discrete Ricci curvature bounds for Bernoulli-Laplace and random transposition models

Matthias Erbar, Jan Maas, Prasad Tetali

We calculate a Ricci curvature lower bound for some classical examples of random walks, namely, a chain on a slice of the n-dimensional discrete cube (the so-called Bernoulli-Lapla…

math.FA2014

Curvature bounds for configuration spaces

Matthias Erbar, Martin Huesmann

We show that the configuration space over a manifold M inherits many curvature properties of the manifold. For instance, we show that a lower Ricci curvature bound on M implies for…

math.DG2013★ 12 cited

On the Equivalence of the Entropic Curvature-Dimension Condition and Bochner's Inequality on Metric Measure Spaces

Matthias Erbar, Kazumasa Kuwada, Karl-Theodor Sturm

We prove the equivalence of the curvature-dimension bounds of Lott-Sturm-Villani (via entropy and optimal transport) and of Bakry--Émery (via energy and Γ_2$-calculus) in complete…

math.FA2012

Gradient flow structures for discrete porous medium equations

Matthias Erbar, Jan Maas

We consider discrete porous medium equations of the form \partial_t ρ_t = Δϕ(ρ_t), where Δis the generator of a reversible continuous time Markov chain on a finite set X, and ϕis a…