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We study fine P\'olya-Szeg\H{o} rearrangement inequalities into weighted intervals for Sobolev functions and functions of bounded variation defined on metric measure spaces supporting an isoperimetric inequality. We then specialize this…

Analysis of PDEs · Mathematics 2025-10-14 Francesco Nobili , Ivan Yuri Violo

Supervised classification and representation learning are two widely used classes of methods to analyze multivariate images. Although complementary, these methods have been scarcely considered jointly in a hierarchical modeling. In this…

Computer Vision and Pattern Recognition · Computer Science 2020-02-14 Adrien Lagrange , Mathieu Fauvel , Stéphane May , José Bioucas-Dias , Nicolas Dobigeon

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

We introduce intrinsic Sobolev-Slobodeckij spaces for a class of ultra-parabolic Kolmogorov type operators satisfying the weak H\"ormander condition. We prove continuous embeddings into Lorentz and intrinsic H\"older spaces. We also prove…

Analysis of PDEs · Mathematics 2024-01-29 Andrea Pascucci , Antonello Pesce

We consider minimization problems with bisubmodular objective functions. We propose valid inequalities, namely the poly-bimatroid inequalities, and provide a complete linear description of the convex hull of the epigraph of a bisubmodular…

Optimization and Control · Mathematics 2020-09-30 Qimeng Yu , Simge Kucukyavuz

Fusing and balancing multi-modal inputs from novel sensors for dense prediction tasks, particularly semantic segmentation, is critically important yet remains a significant challenge. One major limitation is the tendency of multi-modal…

Computer Vision and Pattern Recognition · Computer Science 2025-05-13 Xu Zheng , Yuanhuiyi Lyu , Lutao Jiang , Danda Pani Paudel , Luc Van Gool , Xuming Hu

There exist two major subclasses in the class of superquadratic functions, one comprises concave and decreasing functions, while the other consists of convex and monotone increasing functions. Leveraging this distinction, we introduce…

Functional Analysis · Mathematics 2024-03-19 Mohsen Kian

The Hessian Sobolev inequality of X.-J. Wang, and the Hessian Poincar\'e inequalities of Trudinger and Wang are fundamental to differential and conformal geometry, and geometric PDE. These remarkable inequalities were originally established…

Analysis of PDEs · Mathematics 2020-11-10 Igor E. Verbitsky

We show how to use Lyapunov functions to obtain functional inequalities which are stronger than Poincar\'e inequality (for instance logarithmic Sobolev or $F$-Sobolev). The case of Poincar\'e and weak Poincar\'e inequalities was studied in…

Probability · Mathematics 2010-04-13 Patrick Cattiaux , Arnaud Guillin , Feng-Yu Wang , Liming Wu

In this paper we consider the variable inequality problem, that is, to find a solution of the inclusion given by the sum of a function and a point-to-cone application. This problem can be seen as a generalization of the classical system…

Optimization and Control · Mathematics 2014-09-10 J. Y. Bello Cruz , L. R. Lucambio Perez , G. Bouza Allende

Let $\M$ be a smooth connected manifold endowed with a smooth measure $\mu$ and a smooth locally subelliptic diffusion operator $L$ which is symmetric with respect to $\mu$. We assume that $L$ satisfies a generalized curvature dimension…

Functional Analysis · Mathematics 2011-11-10 Fabrice Baudoin , Michel Bonnefont

A comprehensive analysis of Sobolev-type inequalities for the Ornstein-Uhlenbeck operator in the Gauss space is offered. A unified approach is proposed, providing one with criteria for their validity in the class of rearrangement-invariant…

Functional Analysis · Mathematics 2023-03-20 Andrea Cianchi , Vít Musil , Luboš Pick

Convex analysis is fundamental to proving inequalities that have a wide variety of applications in economics and mathematics. In this paper we provide Jensen-type inequalities for functions that are, intuitively, "very" convex. These…

Optimization and Control · Mathematics 2021-08-10 Bar Light

We introduce a new extragradient iterative process, motivated and inspired by [S. H. Khan, A Picard-Mann Hybrid Iterative Process, Fixed Point Theory and Applications, doi:10.1186/1687-1812-2013-69], for finding a common element of the set…

Functional Analysis · Mathematics 2014-03-14 Ibrahim Karahan , Murat Ozdemir

We extend an operator P\'{o}lya--Szeg\"{o} type inequality involving the operator geometric mean to any arbitrary operator mean under some mild conditions. Utilizing the Mond--Pe\v{c}ari\'c method, we present some other related operator…

Functional Analysis · Mathematics 2017-09-26 D. T. Hoa , M. S. Moslehian , C. Conde , P. Zhang

The goal of this note is to give the unified approach to the solutions of a class of isoperimetric problems by relating them to the exterior differential systems studied by R.~Bryant and P.~Griffiths. In this note we list several classical…

Analysis of PDEs · Mathematics 2016-12-06 Paata Ivanisvili , Alexander Volberg

Considering the weighted concept of majorization, Sherman obtained generalization of majorization inequality for convex functions known as Sherman's inequality. We extend Sherman's result to the class of n-strongly convex functions using…

Classical Analysis and ODEs · Mathematics 2019-05-21 Slavica Ivelić Bradanović

In this paper we will study the equivalence between super-Poincar\'e inequality and some log-Sobolev type inequalities, including weak log-Sobolev inequality and super log-Sobolev inequality. The explicit relations between associated rate…

Probability · Mathematics 2026-05-11 Xin Chen , Qiuchen Yang

In this paper, we establish some reverses of the operator entropy inequalities under certain conditions by using the Mond-Pe\v{c}ari\'c method. In particular, we present {\tiny \begin{align*}…

Functional Analysis · Mathematics 2017-04-10 Mojtaba Bakherad , Ali Morassaei

Modern recommender systems face critical challenges in handling information overload while addressing the inherent limitations of multimodal representation learning. Existing methods suffer from three fundamental limitations: (1) restricted…

Information Retrieval · Computer Science 2025-08-15 Zheyu Chen , Jinfeng Xu , Hewei Wang , Shuo Yang , Zitong Wan , Haibo Hu