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In this paper we establish that the maximal operator and the Littlewood-Paley g-function associated with the heat semigroup defined by multidimensional Bessel operators are of weak type (1,1). Also, we prove that Riesz transforms in the…

Classical Analysis and ODEs · Mathematics 2023-10-25 J. J. Betancor , A. J. Castro , J. Curbelo

We provide a description for the Bellman function related to the Carleson Imbedding theorem, first mentioned in [4], with the use of the Hardy operator.

Functional Analysis · Mathematics 2019-05-20 Eleftherios N. Nikolidakis

In this note we study boundedness of a large class of maximal operators in Sobolev spaces that includes the spherical maximal operator. We also study the size of the set of Lebesgue points with respect to convergence associated with such…

Functional Analysis · Mathematics 2013-06-28 Piotr Hajlasz , Zhuomin Liu

Our focus is on the stable approximate solution of linear operator equations based on noisy data by using $\ell^1$-regularization as a sparsity-enforcing version of Tikhonov regularization. We summarize recent results on situations where…

Functional Analysis · Mathematics 2017-11-27 Daniel Gerth , Bernd Hofmann

In this paper, we consider weighted Bergman spaces $\mathcal{B}_{\alpha,p}$ of log-subharmonic functions on the unit sphere. Using the isoperimetric inequality for the spherical metric we prove certain monotonicity property for super-level…

Complex Variables · Mathematics 2025-12-18 Vladan Jaguzović , Petar Melentijević

We address the problem of automatic generation of features for value function approximation. Bellman Error Basis Functions (BEBFs) have been shown to improve the error of policy evaluation with function approximation, with a convergence…

Machine Learning · Computer Science 2012-09-25 Mahdi Milani Fard , Yuri Grinberg , Amir-massoud Farahmand , Joelle Pineau , Doina Precup

Since learning is typically very slow in Boltzmann machines, there is a need to restrict connections within hidden layers. However, the resulting states of hidden units exhibit statistical dependencies. Based on this observation, we propose…

Machine Learning · Statistics 2010-08-31 Heng Luo , Ruimin Shen , Cahngyong Niu

We propose an algorithm that produces a non-decreasing sequence of subsolutions for a class of optimal control problems distinguished by the property that the associated Bellman operators preserve convexity. In addition to a theoretical…

Optimization and Control · Mathematics 2022-03-07 Gianmarco Bet , Markus Fischer

A multivariable version of the strong maximal function is introduced and a sharp distributional estimate for this operator in the spirit of the Jessen, Marcinkiewicz, and Zygmund theorem is obtained. Conditions that characterize the…

Classical Analysis and ODEs · Mathematics 2011-03-10 Loukas Grafakos , Liguang Liu , Carlos Perez , Rodolfo H. Torres

In this paper, Hardy type operator $H_{\beta}$ on $\bR^{n}$ and its adjoint operator $H_{\beta}^{*}$ are investigated. We use novel methods to obtain two main results. One is that we obtain the operators $H_{\beta}$ and $H_{\beta}^{*}$…

Classical Analysis and ODEs · Mathematics 2021-02-03 Qianjun He , Dunyan Yan

We establish the characterization of compactness for the sparse operator (associated with symbol in weighted VMO space) in the two weight setting on the spaces of homogeneous type in the sense of Coifman and Weiss. As a direct application…

Classical Analysis and ODEs · Mathematics 2025-08-15 Peng Chen , Michael Lacey , Ji Li , Manasa N. Vempati

This paper describes some new results on recursive l_1-minimizing by Kalman filtering. We consider the l_1-norm as an explicit constraint, formulated as a nonlinear observation of the state to be estimated. Interpretiing a sparse vector to…

Signal Processing · Electrical Eng. & Systems 2018-08-21 Otmar Loffeld , Dunja Alexandra Hage , Miguel Heredia Conde , Ling Wang

It is well-known that to establish the almost everywhere convergence of a sequence of operators on $L_1$-space, it is sufficient to obtain a weak $(1,1)$-type inequality for the maximal operator corresponding to the sequence of operators.…

Analysis of PDEs · Mathematics 2024-11-07 Ushangi Goginava , Farrukh Mukhamedov

The goal of this paper is to find a low-rank approximation for a given tensor. Specifically, we give a computable strategy on calculating the rank of a given tensor, based on approximating the solution to an NP-hard problem. In this paper,…

Numerical Analysis · Mathematics 2016-10-20 Xiaofei Wang , Carmeliza Navasca

We precisely evaluate Bellman type functions for the dyadic maximal opeator on $R^n$ and of maximal operators on martingales related to local Lorentz type estimates. Using a type of symmetrization principle, introduced for the dyadic…

Functional Analysis · Mathematics 2015-11-20 Antonios D. Melas , Eleftherios N. Nikolidakis

It is now well understood that (1) it is possible to reconstruct sparse signals exactly from what appear to be highly incomplete sets of linear measurements and (2) that this can be done by constrained L1 minimization. In this paper, we…

Methodology · Statistics 2007-11-13 Emmanuel J. Candes , Michael B. Wakin , Stephen P. Boyd

This paper presents a method for finding a sparse representation of Barron functions. Specifically, given an $L^2$ function $f$, the inverse scale space flow is used to find a sparse measure $\mu$ minimising the $L^2$ loss between the…

Machine Learning · Statistics 2023-12-06 Tjeerd Jan Heeringa , Tim Roith , Christoph Brune , Martin Burger

We consider the pointwise approximation of a subharmonic function by the logarithm of the modulus of an entire function up to a bounded quantity. In the case of finite order an estimate from below of the planar Lebesgue measure of an…

Complex Variables · Mathematics 2010-01-08 Markiyan Hirnyk

We prove a weak maximum principle for nonlocal symmetric stable operators. This includes the fractional Laplacian. The main focus of this work is the regularity of the considered function.

Analysis of PDEs · Mathematics 2022-07-01 Florian Grube , Thorben Hensiek

We prove new explicit upper bounds on the leverage scores of Fourier sparse functions under both the Gaussian and Laplace measures. In particular, we study $s$-sparse functions of the form $f(x) = \sum_{j=1}^s a_j e^{i \lambda_j x}$ for…

Data Structures and Algorithms · Computer Science 2021-07-09 Tamás Erdélyi , Cameron Musco , Christopher Musco