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We prove sharp inequalities of Hardy type for functions in the Sobolev space $W^{1,p}$ on the unit sphere $\mathbb{S}^{n-1}$ in $\mathbb{R}^{n}$. We achieve this in both the subcritical and critical cases. The method we use to show…

Functional Analysis · Mathematics 2020-06-15 Ahmed A. Abdelhakim

This work resolves the open problem of strong singularity ($\alpha(z)> 1$) in nonlocal Kirchhoff-type equations with variable exponents through five original theorems that collectively establish a comprehensive theory. Beginning with…

Analysis of PDEs · Mathematics 2026-03-31 M. H. M. Rashid

In this work, we consider weighted anisotropic Hardy inequalities and trace Hardy inequalities involving a general Finsler metric. We follow a unifying approach, by establishing first a sharp interpolation between them, extending the…

Analysis of PDEs · Mathematics 2024-12-30 Konstantinos Tzirakis

We establish -among other things- existence and multiplicity of solutions for the Dirichlet problem $\sum_i\partial_{ii}u+\frac{|u|^{\crit-2}u}{|x|^s}=0$ on smooth bounded domains $\Omega$ of $ \rn$ ($n\geq 3$) involving the critical…

Analysis of PDEs · Mathematics 2007-05-23 Nassif Ghoussoub , Frederic Robert

We consider a special class of weak dependent random variables with control on covariances of Lipschitz transformations. This class includes, but is not limited to, positively, negatively associated variables and a few other classes of…

Probability · Mathematics 2017-02-06 Idir Arab , Paulo Eduardo Oliveira

This paper introduces a new method to tackle the issue of the almost sure convergence of stochastic approximation algorithms defined from a differential inclusion. Under the assumption of slowly decaying step-sizes, we establish that the…

Optimization and Control · Mathematics 2023-12-05 Pascal Bianchi , Rodolfo Rios-Zertuche

We prove sharp homogeneous improvements to $L^1$ weighted Hardy inequalities involving distance from the boundary. In the case of a smooth domain, we obtain lower and upper estimates for the best constant of the remainder term. These…

Analysis of PDEs · Mathematics 2013-10-14 Georgios Psaradakis

Homogenization of a spectral problem in a bounded domain with a high contrast in both stiffness and density is considered. For a special critical scaling, two-scale asymptotic expansions for eigenvalues and eigenfunctions are constructed.…

Spectral Theory · Mathematics 2007-11-16 Natalia O. Babych , Ilia V. Kamotski , Valery P. Smyshlyaev

We study some approximation problems on a strict subset of the circle by analytic functions of the Hardy space H2 of the unit disk (in C), whose modulus satisfy a pointwise constraint on the complentary part of the circle. Existence and…

Functional Analysis · Mathematics 2009-11-10 Laurent Baratchart , Juliette Leblond , Fabien Seyfert

In this note besides two abstract versions of the Vitali Covering Lemma an abstract Hardy-Littlewood Maximal Inequality, generalizing weak type (1,1) maximal function inequality, associated to any outer measure and a family of subsets on a…

Functional Analysis · Mathematics 2020-05-29 Maysam Maysami Sadr , Monireh Barzegar Ganji

Comparison principles are developed for discrete quasilinear elliptic partial differential equations. We consider the analysis of a class of nonmonotone Leray-Lions problems featuring both nonlinear solution and gradient dependence in the…

Numerical Analysis · Mathematics 2017-11-02 Sara Pollock , Yunrong Zhu

We introduce a method of rigorous analysis of the location and type of complex singularities for nonlinear higher order PDEs as a function of the initial data. The method is applied to determine rigorously the asymptotic structure of…

Analysis of PDEs · Mathematics 2007-05-23 O. Costin , S. Tanveer

We consider a slightly subcritical elliptic system with Dirichlet boundary conditions and a non-power nonlinearity in a bounded smooth domain. For this problem, standard compact embeddings cannot be used to guarantee the existence of…

Analysis of PDEs · Mathematics 2023-11-20 Mabel Cuesta , Rosa Pardo , Angela Pistoia

In a decision-theoretic framework, the minimax lower bound provides the worst-case performance of estimators relative to a given class of statistical models. For parametric and semiparametric models, the H\'{a}jek--Le Cam local asymptotic…

Statistics Theory · Mathematics 2024-10-22 Kenta Takatsu , Arun Kumar Kuchibhotla

We use asymptotic analysis and numerical simulations to study peak-type singular solutions of the supercritical biharmonic NLS. These solutions have a quartic-root blowup rate, and collapse with a quasi self-similar universal profile, which…

Analysis of PDEs · Mathematics 2015-05-20 Guy Baruch , Gadi Fibich

The main results of this paper are the establishment of sharp constants for several families of critical Sobolev embeddings. These inequalities were pioneered by David R. Adams, while the sharp constant in the first order case is due to…

Analysis of PDEs · Mathematics 2024-11-04 Prasun Roychowdhury , Daniel Spector

We discuss in this paper uniform exponential convergence of sample average approximation (SAA) with adaptive multiple importance sampling (AMIS) and asymptotics of its optimal value. Using a concentration inequality for bounded martingale…

Optimization and Control · Mathematics 2024-09-30 Wenjin Zhang , Yong Li

This paper is devoted to the Lin-Ni conjecture for a semi-linear elliptic equation with a super-linear, sub-critical nonlinearity and homogeneous Neumann boundary conditions. We establish a new rigidity result, that is, we prove that the…

Analysis of PDEs · Mathematics 2016-07-04 Jean Dolbeault , Michal Kowalczyk

This paper studies the properties of solutions to a class of elliptic and parabolic problems involving the fractional Laplacian. By applying the mountain pass theorem, we prove the existence of bounded classical positive solutions in the…

Analysis of PDEs · Mathematics 2025-09-30 Haipeng Lu , Mei Yu

We develop a higher-order asymptotic analysis for the semi-hard triplet loss using the Edgeworth expansion. It is known that this loss function enforces that embeddings of similar samples are close while those of dissimilar samples are…

Machine Learning · Statistics 2025-03-18 Masanari Kimura