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In this paper, we find necessary and sufficient conditions for the boundedness of fractional maximal operator $M_{\alpha}$ on Orlicz spaces. As an application of this results we consider the boundedness of fractional maximal commutator…

Functional Analysis · Mathematics 2018-03-09 Vagif S. Guliyev , Fatih Deringoz , Sabir G. Hasanov

Lebesgue space bounds $L^{p_1}({\mathbb R}^1) \times L^{p_2}(^1) \to L^q({\mathbb R}^1)$ are established for certain maximal bilinear operators. The proof combines a trilinear smoothing inequality with Calder\'on-Zygmund theory. A reference…

Classical Analysis and ODEs · Mathematics 2022-04-08 Michael Christ , Zirui Zhou

In this paper, we provide a unifying theory concerning the convergence properties of the so-called max-product Kantorovich sampling operators based upon generalized kernels in the setting of Orlicz spaces. The approximation of functions…

Functional Analysis · Mathematics 2025-02-25 Lorenzo Boccali , Danilo Costarelli , Gianluca Vinti

The optimal constants in a class of exponential type inequalities for the Ornstein-Uhlenbeck operator in the Gauss space are detected. The existence of extremal functions in the relevant inequalities is also established. Our results…

Functional Analysis · Mathematics 2021-10-22 Andrea Cianchi , Vít Musil , Luboš Pick

In this paper, the weighted estimates for multilinear pseudo-differential operators were systematically studied in rearrangement invariant Banach and quasi-Banach spaces. These spaces contain the Lebesgue space, the classical Lorentz space…

Classical Analysis and ODEs · Mathematics 2023-12-21 Jiawei Tan , Qingying Xue

In this paper, the main aim is to consider the mapping properties of the maximal or nonlinear commutator for the fractional maximal operator with the symbols belong to the Lipschitz spaces on variable Lebesgue spaces in the context of…

Classical Analysis and ODEs · Mathematics 2023-10-24 W. Zhao , J. Wu

We give necessary and sufficient conditions for the boundedness of the maximal commutators $M_{b}$, the commutators of the maximal operator $[b, M]$ and the commutators of the sharp maximal operator $[b, M^{\sharp}]$ in Orlicz spaces…

Functional Analysis · Mathematics 2022-07-25 Vagif S. Guliyev

We prove a new type of pointwise estimate of the Kalamajska-Mazya-Shaposhnikova type, where sparse averaging operators replace the maximal operator. It allows us to extend the Gagliardo-Nirenberg interpolation inequality to all…

Functional Analysis · Mathematics 2024-03-13 Karol Lesnik , Tomas Roskovec , Filip Soudsky

We study ergodicity of composition operators on rearrangement-invariant Banach function spaces. More precisely, we give a natural and easy-to-check condition on the symbol of the operator which entails mean ergodicity on a very large class…

Functional Analysis · Mathematics 2025-10-15 Thomas Kalmes , Dalimil Peša

We develop a new functional-analytic technique for investigating the degree of noncompactness of an operator defined on a quasinormed space and taking values in a Marcinkiewicz space. The main result is a general principle from which it can…

Functional Analysis · Mathematics 2025-11-25 Jan Malý , Zdeněk Mihula , Vít Musil , Luboš Pick

This paper is a contribution to the study of regularity theory for nonlinear elliptic equations. The aim of this paper is to establish some global estimates for non-uniformly elliptic in divergence form as follows \begin{align*}…

Analysis of PDEs · Mathematics 2020-02-04 Thanh-Nhan Nguyen , Minh-Phuong Tran

In this note we consider weighted conditional type operators between different Orlicz spaces and generalized conditional type Holder inequality that we defined in [2]. Then we give some necessary and sufficient conditions for boundedness of…

Functional Analysis · Mathematics 2015-02-12 Yousef Estaremi

Certain inequalities between the values of the modular and the norm in the Orlicz spaces are established. These inequalities are applied then to the theory of solvability of nonlinear integral equations of Hammerstein type.

Functional Analysis · Mathematics 2007-05-23 A. V. Lebedev , P. P. Zabreiko

In this paper, we study spaceability of subsets of generalized Orlicz and Lebesgue spaces associated to Banach function space. Also, we give some sufficient conditions for spaceability of subsets of a general Banach space which improves an…

Functional Analysis · Mathematics 2022-08-09 Alireza Bagheri Salec , Stefan Ivkovic , Seyyed Mohammad Tabatabaie

The classical Gagliardo-Nirenberg interpolation inequality is a well-known estimate which gives, in particular, an estimate for the Lebesgue norm of intermediate derivatives of functions in Sobolev spaces. We present an extension of this…

Functional Analysis · Mathematics 2018-12-12 Alberto Fiorenza , Maria Rosaria Formica , Tomas Roskovec , Filip Soudsky

In mathematical modelling, the data and solutions are represented as measurable functions and their quality is oftentimes captured by the membership to a certain function space. One of the core questions for an analysis of a model is the…

Functional Analysis · Mathematics 2022-11-22 Vít Musil , Luboš Pick , Jakub Takáč

We obtain Musielak Orlicz bumps conditions on a pair of weights for the boundedness of Calder\'on Zygmund operators and their commutators between variable Lebesgue spaces with different weights. The symbols of the commutators belong to a…

Analysis of PDEs · Mathematics 2019-10-25 Luciana Melchiori , Gladis Pradolini , Wilfredo Ramos

We prove $L^p\to L^q$ estimates for local maximal operators associated with dilates of codimension two spheres in Heisenberg groups; these are sharp up to two endpoints. The results can be applied to improve currently known bounds on sparse…

Classical Analysis and ODEs · Mathematics 2023-07-25 Joris Roos , Andreas Seeger , Rajula Srivastava

We prove uniform estimates for the expected value of averages of order statistics of bivariate functions in terms of their largest values by a direct analysis. As an application, uniform estimates for the expected value of averages of order…

Probability · Mathematics 2018-10-03 Richard Lechner , Markus Passenbrunner , Joscha Prochno

In this current work, we propose a Max Min approach for approximating functions using exponential neural network operators. We extend this framework to develop the Max Min Kantorovich-type exponential neural network operators and…

Machine Learning · Computer Science 2025-08-15 Satyaranjan Pradhan , Madan Mohan Soren