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In this note we consider spectral cut-off estimators to solve a statistical linear inverse problem under arbitrary white noise. The truncation level is determined with a recently introduced adaptive method based on the classical discrepancy…

Numerical Analysis · Mathematics 2022-02-28 Tim Jahn

In this paper, we obtain a $p$-th moment bound for the suprema of a log-concave-tailed nonhomogeneous chaos process, which is optimal in some special cases. A crucial ingredient of the proof is a novel decoupling inequality, which may be of…

Probability · Mathematics 2024-05-14 Guozheng Dai , Zhonggen Su , Vladimir Ulyanov , Hanchao Wang

We obtain a new upper bound for Neumann eigenvalues of the Laplacian on a bounded convex domain in Euclidean space. As an application of the upper bound we derive universal inequalities for Neumann eigenvalues of the Laplacian.

Spectral Theory · Mathematics 2023-11-08 Kei Funano

We give here a simple proof of weighted logarithmic Sobolev inequality, for example for Cauchy type measures, with optimal weight, sharpening results of Bobkov-Ledoux. Some consequences are also discussed.

Probability · Mathematics 2010-07-26 Patrick Cattiaux , Arnaud Guillin , Liming Wu

In this paper, we present a correct proof of an $L_p$-inequality concerning the polar derivative of a polynomial with restricted zeros. We also extend Zygmund's inequality to the polar derivative of a polynomial.

Complex Variables · Mathematics 2007-09-24 A. Aziz , N. A. Rather

In this paper, we provide explicit lower bounds with respect to some quantities of interest (parameters of the underlying distribution, dimension, geometrical characteristics of the domain, position of the origin, etc.) on the spectral gap…

Functional Analysis · Mathematics 2024-03-27 Michel Bonnefont , Aldéric Joulin

We propose a new estimator for the high-dimensional linear regression model with observation error in the design where the number of coefficients is potentially larger than the sample size. The main novelty of our procedure is that the…

Methodology · Statistics 2019-09-09 Alexandre Belloni , Abhishek Kaul , Mathieu Rosenbaum

We find the exact values for constants in bilateral Calderon-Stein-Weiss inequalities between tail (Marcinkiewicz) norm and weak Lebesgue (Lorentz) norm. Possible applications: Functional Analysis (for instance, interpolation of operators),…

Functional Analysis · Mathematics 2012-10-18 E. Ostrovsky , L. Sirota

We study in this article a new pointwise estimate for ''rough'' singular integral operators. From this pointwise estimate we will derive Sobolev type inequalities in a variety of functional spaces.

Functional Analysis · Mathematics 2026-01-14 Diego Chamorro , Anca-Nicoleta Marcoci , Liviu-Gabriel Marcoci

A criterion is presented for the Modified Logarithmic Sobolev inequality on metric measure spaces. The criterion based on U-bound inequalities introduced by Hebisch and Zegarlinski allows to show the inequality for measures that go beyond…

Functional Analysis · Mathematics 2019-07-05 Ioannis Papageorgiou

The goal of this paper is to push forward the study of those properties of log-concave measures that help to estimate their Poincar{\'e} constant. First we revisit E. Milman's result [40] on the link between weak (Poincar{\'e} or…

Probability · Mathematics 2018-10-22 Patrick Cattiaux , Arnaud Guillin

We study a one-dimensional elliptic problem with highly oscillatory random diffusion coefficient. We derive a homogenized solution and a so-called Gaussian corrector. We also prove a "pointwise" large deviation principle (LDP) for the full…

Analysis of PDEs · Mathematics 2010-12-07 Guillaume Bal , Roger Ghanem , Ian Langmore

We construct a new tail bound for the sum of independent random variables for situations in which the expected value of the sum is known and each random variable lies within a specified interval, which may be different for each variable.…

Probability · Mathematics 2025-03-25 Jackson Loper , Jeffrey Regier

We obtain new sharp weighted Poincar{\'e} inequalities on Riemannian manifolds for a general class of measures. When specialised to generalised Cauchy measures, this gives a unified and simple proof of the weighted Poincar{\'e} inequality…

Functional Analysis · Mathematics 2024-01-17 Baptiste Nicolas Huguet

We propose algebraic criteria that yield sharp H\"{o}lder types of inequalities for the product of functions of Gaussian random vectors with arbitrary covariance structure. While our lower inequality appears to be new, we prove that the…

Probability · Mathematics 2013-10-08 Wei-Kuo Chen , Nikos Dafnis , Grigoris Paouris

In this paper we derive a Large Deviation Principle (LDP) for inhomogeneous U/V-statistics of a general order. Using this, we derive a LDP for two types of statistics: random multilinear forms, and number of monochromatic copies of a…

Probability · Mathematics 2026-04-01 Sohom Bhattacharya , Nabarun Deb , Sumit Mukherjee

For exponents in the subcritical range, we revisit some optimal interpolation inequalities on the sphere with carr\'e du champ methods and use the remainder terms to produce improved inequalities. The method provides us with lower estimates…

Analysis of PDEs · Mathematics 2019-08-23 Jean Dolbeault , Maria J. Esteban

A new adaptive approach is proposed for variational inequalities with a Lipschitz-continuous field. Estimates of the necessary number of iterations are obtained to achieve a given quality of the variational inequality solution. A…

Optimization and Control · Mathematics 2018-12-27 Fedor Stonyakin , Alexander Gasnikov , Pavel Dvurechensky , Alexander Titov

The equations for the critical points of the action functional defined by a Lagrangian depending on higher-order derivatives of admissible curves on a Lie algebroid are found. The relation with Euler-Poincar\'e and Lagrange Poincar\'e type…

Mathematical Physics · Physics 2015-01-27 Eduardo Martínez

In this article we propose a novel taming Langevin-based scheme called $\mathbf{sTULA}$ to sample from distributions with superlinearly growing log-gradient which also satisfy a Log-Sobolev inequality. We derive non-asymptotic convergence…

Probability · Mathematics 2023-11-16 Iosif Lytras , Sotirios Sabanis
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