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We explore the distinctions between $L^p$ convergence of metric tensors on a fixed Riemannian manifold versus Gromov-Hausdorff, uniform, and intrinsic flat convergence of the corresponding sequence of metric spaces. We provide a number of…

Metric Geometry · Mathematics 2020-06-02 Brian Allen , Christina Sormani

In this paper we prove $L^p$ estimates for Stein's square functions associated to Fourier-Bessel expansions. Furthermore we prove transference results for square functions from Fourier-Bessel series to Hankel transforms. Actually, these are…

Classical Analysis and ODEs · Mathematics 2019-12-19 Víctor Almeida , Jorge J. Betancor , Estefanía Dalmasso , Lourdes Rodríguez-Mesa

We obtain pointwise upper bounds on the derivatives of the heat kernel on Damek-Ricci spaces. Applying these estimates we prove the $L^p$-boundedness of Littlewood-Paley-Stein operators.

Analysis of PDEs · Mathematics 2020-09-02 Anestis Fotiadis , Effie Papageorgiou

In this paper, we study the $\ell^p\to \ell^r$ estimates for the $S$-operator arising in restriction problems for spheres over finite fields. We establish a necessary and sufficient condition for the boundedness of the $S$-operator.…

Classical Analysis and ODEs · Mathematics 2026-03-03 Hunseok Kang , Doowon Koh , Changhun Yang

This article addresses two topics of significant mathematical and practical interest in the theory of kernel approximation: the existence of local and stable bases and the L_p--boundedness of the least squares operator. The latter is an…

Classical Analysis and ODEs · Mathematics 2011-03-10 Thomas Hangelbroek , Fran J Narcowich , Xingping Sun , Joe D Ward

We discuss the L^p-boundedness of maximal singular integrals in the plane over a finite set V of N directions. Logarithmic bounds are established for a set V of arbitrary structure in the 2<=p<infinity range. Sharp bounds are proved for…

Classical Analysis and ODEs · Mathematics 2012-03-30 Ciprian Demeter , Francesco Di Plinio

The purpose of this paper is to study the $L^p$ boundedness of operators of the form \[ f\mapsto \psi(x) \int f(\gamma_t(x))K(t)\: dt, \] where $\gamma_t(x)$ is a $C^\infty$ function defined on a neighborhood of the origin in $(t,x)\in…

Classical Analysis and ODEs · Mathematics 2013-08-01 Elias M. Stein , Brian Street

The paper deals with $L_p$-boundedness of the Hartley-Fourier convolutions operator and their applied aspects. We establish various new Young-type inequalities and obtain the structure of a normed ring in Banach space when equipping it with…

Functional Analysis · Mathematics 2023-07-12 Trinh Tuan

In this paper we prove an $\ell^s$-boundedness result for integral operators with operator-valued kernels. The proofs are based on extrapolation techniques with weights due to Rubio de Francia. The results will be applied by the first and…

Classical Analysis and ODEs · Mathematics 2019-08-08 Chiara Gallarati , Emiel Lorist , Mark Veraar

This paper considers paired operators in the context of the Lebesgue Hilbert space $L^2$ on the unit circle and its subspace, the Hardy space $H^2$. The kernels of such operators, together with their analytic projections, which are…

Functional Analysis · Mathematics 2025-01-22 M. Cristina Câmara , Jonathan R. Partington

Let $X$ be a complete, simply connected harmonic manifold with sectional curvatures $K$ satisfying $K \leq -1$. In \cite{biswas6}, a Fourier transform was defined for functions on $X$, and a Fourier inversion formula and Plancherel theorem…

Dynamical Systems · Mathematics 2018-05-29 Kingshook Biswas , Rudra P. Sarkar

Convolution type Calder\'on-Zygmund singular integral operators with rough kernels $\pv \Om(x)/|x|^n$ are studied. A condition on $\Om$ implying that the corresponding singular integrals and maximal singular integrals map $L^p \to L^p$ for…

Functional Analysis · Mathematics 2016-09-07 Loukas Grafakos , Atanas Stefanov

In this paper we have characterized the space of summability kernels for the case p=1 and p=2. For other values of p we give a necessary condition for a function $\Lambda$ to be a summability kernel. For the case p=1, we have studied the…

Functional Analysis · Mathematics 2007-05-23 P. Mohanty , S. Madan

The notion of a (polynomial) kernelization from parameterized complexity is a well-studied model for efficient preprocessing for hard computational problems. By now, it is quite well understood which parameterized problems do or…

Data Structures and Algorithms · Computer Science 2025-04-28 Leonid Antipov , Stefan Kratsch

Building on arXiv:1902.03807, this paper develops a unifying study on the boundedness properties of several representative classes of hybrid operators, i.e. operators that enjoy both zero and non-zero curvature features. Specifically, via…

Classical Analysis and ODEs · Mathematics 2024-02-07 Alejandra Gaitan , Victor Lie

This paper considers paired operators in the context of the Lebesgue Hilbert space on the unit circle and its subspace, the Hardy space $H^2$. The kernels of such operators, together with their analytic projections, which are…

Functional Analysis · Mathematics 2024-02-09 M. Cristina Câmara , Jonathan R. Partington

The goal of this paper is to provide a new approach to address the $L^p-$boundedness of bilinear rough singular integral operators. This approach relies on local Fourier series expansion of input functions leading to trilinear estimates…

Classical Analysis and ODEs · Mathematics 2025-08-27 Ankit Bhojak , Saurabh Shrivastava

For the weight function $\prod_{i=1}^{d+1}|x_i|^{2\k_i}$ on the unit sphere, sharp local estimates of the orthogonal projection operators are obtained and used to prove the convergence of the Ces\`aro $(C,\delta)$ means in the weighted…

Classical Analysis and ODEs · Mathematics 2007-06-07 Feng Dai , Yuan Xu

We consider the convolution operator for a measure supported on complex curves. The measure which we consider here is an analogue of the affine arclength measure for real curves. By modifying a combinatorial argument called the band…

Classical Analysis and ODEs · Mathematics 2015-03-31 Hyunuk Chung , Seheon Ham

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