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We consider a new functional inequality controlling the rate of relative entropy decay for random walks, the interchange process and more general block-type dynamics for permutations. The inequality lies between the classical logarithmic…

Probability · Mathematics 2022-05-12 Alexandre Bristiel , Pietro Caputo

The paper proves transportation inequalities for probability measures on spheres for the Wasserstein metrics with respect to cost functions that are powers of the geodesic distance. Let $\mu$ be a probability measure on the sphere ${\bf…

Probability · Mathematics 2024-09-24 Gordon Blower

If Poincar{\'e} inequality has been studied by Bobkov for radial measures, few is known about the logarithmic Sobolev inequalty in the radial case. We try to fill this gap here using different methods: Bobkov's argument and…

Functional Analysis · Mathematics 2019-12-24 Patrick Cattiaux , Arnaud Guillin , Liming Wu

The concept of freeness was introduced by Voiculescu in the context of operator algebras. Later it was observed that it is also relevant for large random matrices. We will show how the combination of various free probability results with a…

Operator Algebras · Mathematics 2014-04-15 Roland Speicher

In this note we introduce and prove local and potential independent transportation, Log-Sobolev and HWI inequalities in one dimensional free probability on compact intervals which are sharp. We recover using this approach a free…

Probability · Mathematics 2012-09-26 Ionel Popescu

We show that the quadratic transportation cost inequality $T_2$ is equivalent to both a Poincar\'e inequality and a strong form of the Gaussian concentration property. The main ingredient in the proof is a new family of inequalities, called…

Probability · Mathematics 2007-05-23 Patrick Cattiaux , Arnaud Guillin

The empirical optimal transport (OT) cost between two probability measures from random data is a fundamental quantity in transport based data analysis. In this work, we derive novel guarantees for its convergence rate when the involved…

Statistics Theory · Mathematics 2022-02-22 Shayan Hundrieser , Thomas Staudt , Axel Munk

Free entropy is the analogue of entropy in free probability theory. The paper is a survey of free entropy, its applications to von Neumann algebras, connections to random matrix theory and a discussion of open problems.

Operator Algebras · Mathematics 2007-05-23 Dan Voiculescu

We present an alternative approach to the theory of free Gibbs states with convex potentials. Instead of solving SDE's, we combine PDE techniques with a notion of asymptotic approximability by trace polynomials for a sequence of functions…

Operator Algebras · Mathematics 2020-12-30 David Jekel

We prove that the convergence of the real and imaginary parts of the logarithm of the characteristic polynomial of unitary Brownian motion toward Gaussian free fields on the cylinder, as the matrix dimension goes to infinity, holds in…

Probability · Mathematics 2022-12-05 Johannes Forkel , Isao Sauzedde

We study an optimal weak transport cost related to the notion of convex order between probability measures. On the real line, we show that this weak transport cost is reached for a coupling that does not depend on the underlying cost…

Probability · Mathematics 2015-12-25 Nathael Gozlan , Cyril Roberto , Paul-Marie Samson , Yan Shu , Prasad Tetali

In this paper we provide a proof of the Sobolev-Poincar\'e inequality for variable exponent spaces by means of mass transportation methods. The importance of this approach is that the method is exible enough to deal with different…

Analysis of PDEs · Mathematics 2015-03-11 Juan Pablo Borthagaray , Julián Fernández Bonder , Analía Silva

We show that there are no general stability results for the logarithmic Sobolev inequality in terms of the Wasserstein distances and $L^{p}(d\gamma)$ distance for $p>1$. To this end, we construct a sequence of centered probability measures…

Analysis of PDEs · Mathematics 2022-04-18 Daesung Kim

Let $\mu$ and $\nu$ be probability measures on $\mathbb{R}$ with compact support, and let $\mu \boxplus \nu$ denote their additive free convolution. We show that for $z \in \mathbb{R}$ greater than the sum of essential suprema of $\mu$ and…

Probability · Mathematics 2024-04-05 Octavio Arizmendi , Samuel G. G. Johnston

We consider the optimal transport problem over convex costs arising from optimal control of linear time-invariant(LTI) systems when the initial and target measures are assumed to be supported on the set of equilibrium points of the LTI…

Optimization and Control · Mathematics 2023-12-19 Karthik Elamvazhuthi , Matt Jacobs

For two probability measures $\rho$ and $\pi$ on $[-1,1]^{\mathbb{N}}$ we investigate the approximation of the triangular Knothe-Rosenblatt transport $T:[-1,1]^{\mathbb{N}}\to [-1,1]^{\mathbb{N}}$ that pushes forward $\rho$ to $\pi$. Under…

Statistics Theory · Mathematics 2021-07-29 Jakob Zech , Youssef Marzouk

We revisit entropy methods to prove new sharp trace logarithmic Sobolev and sharp Gagliardo-Nirenberg-Sobolev inequalities on the half space, with a focus on the entropy inequality itself and not the actual flow, allowing for somewhat…

Analysis of PDEs · Mathematics 2021-12-28 Simon Zugmeyer

We consider Kac's random walk on $n$-dimensional rotation matrices, where each step is a random rotation in the plane generated by two randomly picked coordinates. We show that this process converges to the Haar measure on $\mathit{SO}(n)$…

Probability · Mathematics 2009-08-10 Roberto Imbuzeiro Oliveira

We consider a randomly forced Ginzburg-Landau equation on an unbounded domain. The forcing is smooth and homogeneous in space and white noise in time. We prove existence and smoothness of solutions, existence of an invariant measure for the…

Analysis of PDEs · Mathematics 2007-05-23 Jacques Rougemont

We consider orthogonally invariant probability measures on $\mathrm{GL}_n(\mathbb{R})$ and compare the mean of the logs of the moduli of eigenvalues of the matrices to the Lyapunov exponents of random matrix products independently drawn…

Dynamical Systems · Mathematics 2022-08-23 Diego Armentano , Gautam Chinta , Siddhartha Sahi , Michael Shub