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We give a characterization of metric space valued Sobolev maps in terms of weak* derivatives. This corrects a previous result by Haj{\l}asz and Tyson.

Functional Analysis · Mathematics 2024-11-26 Paul Creutz , Nikita Evseev

In this paper we introduce and study a weakened form of logarithmic Sobolev inequalities in connection with various others functional inequalities (weak Poincar\'{e} inequalities, general Beckner inequalities...). We also discuss the…

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

Necessary and sufficient conditions for weak and vague convergence of measures are important for a diverse host of applications. This paper aims to give a comprehensive description of the relationship between the two modes of convergence…

Functional Analysis · Mathematics 2022-08-04 Martin Herdegen , Gechun Liang , Osian Shelley

Using isoperimetry we obtain new symmetrization inequalities that allow us to provide a unified framework to study Sobolev inequalities in metric spaces. The applications include concentration inequalities, as well as metric versions of the…

Functional Analysis · Mathematics 2009-04-25 Joaquim Martin , Mario Milman

We demonstrate a general weak measurement model which allows Gaussian preserving entanglement concentration of the two mode squeezed vacuum. The power of this simple and elegant protocol is through the constraints it places on possible…

Quantum Physics · Physics 2009-11-13 David Menzies , Natalia Korolkova

(English) This monograph aims at presenting the core weak convergence theory for sequences of random vectors with values in $\mathbb{R}^k$. In some places, a more general formulation in metric spaces is provided. It lays out the necessary…

Probability · Mathematics 2018-08-09 Gane Samb Lo , Modou Ngom , Tchilabalo Atozou Kpanzou

We give a new proof of the compactness of minimizing sequences of the Sobolev inequalities in the critical case. Our approach relies on a simplified version of the concentration-compactness principle, which does not require any refinement…

Analysis of PDEs · Mathematics 2025-06-12 Charlotte Dietze , Phan Thành Nam

We introduce a notion of weak convergence in arbitrary metric spaces. Metric functionals are key in our analysis: weak convergence of sequences in a given metric space is tested against all the metric functionals defined on said space. When…

Functional Analysis · Mathematics 2025-06-05 Armando W. Gutiérrez , Olavi Nevanlinna

We prove in this short report that for arbitrary weak converging sequence of sigma-finite Borelian measures in the separable Banach space there is a compact embedded separable subspace such that this measures not only are concentrated in…

Functional Analysis · Mathematics 2015-05-26 E. Ostrovsky , L. Sirota

There is suggested a version of the experiment with a correlated pair of particles in the entangled state. The experiment demonstrates that, in the case of weak and/or non-demolition measurements of one of the particles, it is possible to…

General Physics · Physics 2016-12-21 A. V. Belinsky , A. K. Zhukovsky

The purpose of this paper is to provide tools for analyzing the compactness of sequences in Sobolev spaces, in particular if the sequence gets mapped onto a compact set by some nonlinear operator. Here, our focus lies on a very general…

Analysis of PDEs · Mathematics 2007-11-07 Stefan Krömer , Markus Lilli

In this article we give an extention of the L^2-theory of anisotropic singular perturbations for elliptic problems. We study a linear and some nonlinear problems involving L^p data (1<p<2). Convergences in pseudo Sobolev spaces are proved…

Analysis of PDEs · Mathematics 2016-04-15 Chokri Ogabi

We study equivalent descriptions of the vague, weak, setwise and total-variation (TV) convergence of sequences of Borel measures on metrizable and non-metrizable topological spaces in this work. On metrizable spaces, we give some equivalent…

Probability · Mathematics 2021-04-29 Liangang Ma

We study various generalizations of concentration of measure on the unit sphere, in particular by means of log-Sobolev inequalities. First, we show Sudakov-type concentration results and local semicircular laws for weighted random matrices.…

Probability · Mathematics 2024-08-09 Friedrich Götze , Holger Sambale

We extend recent higher order concentration results in the discrete setting to include functions of possibly dependent variables whose distribution (on the product space) satisfies a logarithmic Sobolev inequality with respect to a…

Probability · Mathematics 2020-05-15 Friedrich Götze , Holger Sambale , Arthur Sinulis

We identify the restricted class of attainable effective deformations in a model of reinforced composites with parallel, long, and fully rigid fibers embedded in an elastic body. In mathematical terms, we characterize the weak limits of…

Analysis of PDEs · Mathematics 2021-05-11 Dominik Engl , Carolin Kreisbeck , Antonella Ritorto

In various analytical contexts, it is proved that a weak Sobolev inequality implies a doubling property for the underlying measure.

Analysis of PDEs · Mathematics 2014-06-10 Lyudmila Korobenko , Diego Maldonado , Cristian Rios

We introduce a weak transversality condition for piecewise C^{1+\alpha} and piecewise hyperbolic maps which admit a C^{1+\alpha} stable distribution. We show good bounds on the essential spectral radius of the associated transfer operators…

Dynamical Systems · Mathematics 2007-11-14 Viviane Baladi , Sebastien Gouezel

We show that Sobolev maps with values in a dual Banach space can be characterized in terms of weak derivatives in a weak* sense. Since every metric space embeds isometrically into a dual Banach space, this implies a characterization of…

Functional Analysis · Mathematics 2023-03-31 Paul Creutz , Nikita Evseev

Weak measurements offer the possibility of tuning the information acquired on a system, hence the imposed disturbance. This suggests that it could be a useful tool for multi-parameter estimation, when two parameters can not be measured…

Quantum Physics · Physics 2015-10-05 Matteo Altorio , Marco G. Genoni , Mihai D. Vidrighin , Fabrizia Somma , Marco Barbieri
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