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In the present paper, we shall give a characterization for weak/strong Adams-type boundedness of the fractional maximal operator on generalized Orlicz-Morrey spaces.

Functional Analysis · Mathematics 2017-02-07 Fatih Deringoz , Vagif S. Guliyev , Sabir G. Hasanov

We consider a class of maps from integral Hankel operators to Hankel matrices, which we call restriction maps. In the simplest case, such a map is simply a restriction of the integral kernel onto integers. More generally, it is given by an…

Functional Analysis · Mathematics 2018-10-02 Nazar Miheisi , Alexander Pushnitski

In this paper, the behavior for commutators of a class of bilinear singular integral operator associated with non-smooth kernels on the products of weighted Lebesgue spaces is considered. By some new maximal functions to control the…

Classical Analysis and ODEs · Mathematics 2014-11-10 Rui Bu , Jiecheng Chen

Motivated by the study of kernels of bilinear pseudodifferential operators with symbols in a H\"ormander class of critical order, we investigate boundedness properties of strongly singular Calder\'on--Zygmund operators in the bilinear…

Classical Analysis and ODEs · Mathematics 2018-04-26 Árpád Bényi , Lucas Chaffee , Virginia Naibo

In this paper, we establish quantitative weak type estimates for operators that are dominated by (fractional) sparse operators in bilinear sense. Specifically, we derive bounds for both the restricted weak type $L^{p,1}\rightarrow…

Classical Analysis and ODEs · Mathematics 2024-09-27 Yanhan Chen

Let $T$ be a multilinear integral operator which is bounded on certain products of Lebesgue spaces on $\mathbb R^n$. We assume that its associated kernel satisfies some mild regularity condition which is weaker than the usual H\"older…

Classical Analysis and ODEs · Mathematics 2015-06-26 The Anh Bui , Jose M. Conde-Alonso , Xuan Thinh Duong , Mahdi Hormozi

In this article, we introduce the fractional maximal operator on the Hyperbolic space, a non-doubling measure space, and study the weighted boundedness. Motivated in the weighted boundedness of Hardy-Littlewood maximal studied by Antezana…

Classical Analysis and ODEs · Mathematics 2024-01-01 Gonzalo Ibañez-Firnkorn , Emanuel Ramadori

In this paper, we investigate the behavior of the bounds of the composition for rough singular integral operators on the weighted space. More precisely, we obtain the quantitative weighted bounds of the composite operator for two singular…

Classical Analysis and ODEs · Mathematics 2019-12-20 Guoen Hu , Xudong Lai , Qingying Xue

Let $\Omega\in L^1{({\mathbb S^{n-1}})}$, be a function of homogeneous of degree zero, and $M_\Omega$ be the Hardy-Littlewood maximal operator associated with $\Omega$ defined by $M_\Omega(f)(x) =…

Classical Analysis and ODEs · Mathematics 2021-09-02 Moyan Qin , Huoxiong Wu , Qingying Xue

We propose a method for feature selection that employs kernel-based measures of independence to find a subset of covariates that is maximally predictive of the response. Building on past work in kernel dimension reduction, we show how to…

Machine Learning · Statistics 2018-10-23 Jianbo Chen , Mitchell Stern , Martin J. Wainwright , Michael I. Jordan

We consider parametrized problems driven by spatially nonlocal integral operators with parameter-dependent kernels. In particular, kernels with varying nonlocal interaction radius $\delta > 0$ and fractional Laplace kernels, parametrized by…

Numerical Analysis · Mathematics 2019-10-02 Olena Burkovska , Max Gunzburger

In this paper, we introduced the local and global mixed Morrey-type spaces, and some properties of these spaces are also studied. After that, the necessary conditions of the boundedness of fractional integral operators $I_{\alpha}$ are…

Functional Analysis · Mathematics 2021-08-12 Houkun Zhang , Jiang Zhou

In this note, we establish a discrete method to characterize the limiting weak type behaviors of the centered Hardy-Littlewood maximal operator on the positive real axis through testing on Dirac deltas. As an application, we give some new…

Metric Geometry · Mathematics 2022-10-07 Wu-yi Pan , Sheng-jian Li

We prove a duality relation and an integration by parts formula for fractional operators with a general analytical kernel. Based on these basic results, we are able to prove a new Gronwall's inequality and continuity and differentiability…

Optimization and Control · Mathematics 2022-12-06 Faical Ndairou , Delfim F. M. Torres

In this paper, the sharp maximal theorem is generalized to mixed-norm ball Banach function spaces, which is defined as Definition 2.7. As an application, we give a characterization of BMO via the boundedness of commutators of fractional…

Functional Analysis · Mathematics 2021-06-10 Houkun Zhang , Jiang Zhou

In this paper we establish optimal regularity estimates and smoothness of free boundaries for nonlocal obstacle problems governed by a very general class of integro-differential operators with possibly singular kernels. More precisely, in…

Analysis of PDEs · Mathematics 2023-08-04 Xavier Ros-Oton , Marvin Weidner

This paper studies smoothing properties of the local fractional maximal operator, which is defined in a proper subdomain of the Euclidean space. We prove new pointwise estimates for the weak gradient of the maximal function, which imply…

Functional Analysis · Mathematics 2015-06-17 Toni Heikkinen , Juha Kinnunen , Janne Korvenpää , Heli Tuominen

Let $(X, d, \mu)$ be a space of homogeneous type and $\Omega$ an open subset of $X$. Given a bounded operator $T: L^p(\Omega) \to L^q(\Omega)$ for some $1 \le p \le q < \infty$, we give a criterion for $T$ to be of weak type $(p_0, a)$ for…

Functional Analysis · Mathematics 2026-05-14 Bernhard H. Haak , El-Maati Ouhabaz

Let $T_\Omega$ be the singular integral operator with variable kernel $\Omega(x,z)$. In this paper, by using the atomic decomposition theory of weighted weak Hardy spaces, we will obtain the boundedness properties of $T_\Omega$ on these…

Classical Analysis and ODEs · Mathematics 2014-01-27 Hua Wang

Shape constraints (such as non-negativity, monotonicity, convexity) play a central role in a large number of applications, as they usually improve performance for small sample size and help interpretability. However enforcing these shape…

Machine Learning · Statistics 2020-10-20 Pierre-Cyril Aubin-Frankowski , Zoltan Szabo