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
Showing 2016Show all

5 papers · 1 filter

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…