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Related papers: Matrix Weighted $L^p$ Estimates in the Nonhomogene…

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We study sparse domination for operators defined with respect to an atomic filtration on a space equipped with a general measure $\mu$. In the case of Haar shifts, $L^p$-boundedness is known to require a weak regularity condition, which we…

Classical Analysis and ODEs · Mathematics 2023-09-26 José M. Conde-Alonso , Jill Pipher , Nathan A. Wagner

We introduce the so called convex body valued sparse operators, which generalize the notion of sparse operators to the case of spaces of vector valued functions. We prove that Calder\'on--Zygmund operators as well as Haar shifts and…

Classical Analysis and ODEs · Mathematics 2017-05-22 Fedor Nazarov , Stefanie Petermichl , Sergei Treil , Alexander Volberg

In this paper matrix quantitative weighted estimates on spaces of homogeneous type, such as endpoint estimates, strong type estimates are provided. To that end we extend some earlier results on convex body domination due to Nazarov,…

Functional Analysis · Mathematics 2025-11-12 Guido Claro , Pamela Muller , Luis Nowak , Alejandra Perini , Israel P. Rivera-Ríos

In this paper we prove the weighted martingale Carleson Embedding Theorem with matrix weights both in the domain and in the target space.

Classical Analysis and ODEs · Mathematics 2017-08-25 Amalia Culiuc , Sergei Treil

The technique of sparse domination, i.e., dominating operators with sums of averages taken over sparsely distributed cubes, has seen rapid development recently within the realms of harmonic analysis. A useful extension of sparse domination…

Functional Analysis · Mathematics 2023-11-20 Aapo Laukkarinen

Matrix weights satisfying a Muckenhoupt $A_p$-condition relative to a family of anisotropic balls in $\mathbb{R}^d$ defined by a pseudo-metric are studied. It is shown that such matrix weights satisfy a doubling condition and a reverse…

Functional Analysis · Mathematics 2025-10-06 Morten Nielsen

Estimation of a precision matrix (i.e., inverse covariance matrix) is widely used to exploit conditional independence among continuous variables. The influence of abnormal observations is exacerbated in a high dimensional setting as the…

Methodology · Statistics 2021-05-17 Peng Tang , Huijing Jiang , Heeyoung Kim , Xinwei Deng

We study $L^p(\mu)$ estimates for the commutator $[H,b]$, where the operator $H$ is a dyadic model of the classical Hilbert transform introduced in \cite{arXiv:2012.10201,arXiv:2212.00090} and is adapted to a non-doubling Borel measure…

Classical Analysis and ODEs · Mathematics 2024-09-04 Tainara Borges , José M. Conde Alonso , Jill Pipher , Nathan A. Wagner

We prove generalized Carleson embeddings for the continuous wave packet transform from $L^p(\mathbb{R},w)$ into an outer $L^p$ space for $2< p < \infty$ and weight $w \in A_{p/2}$. This work is a weighted extension of the corresponding…

Classical Analysis and ODEs · Mathematics 2020-07-29 Yen Do , Mark Lewers

By means of appropriate sparse bounds, we deduce compactness on weighted $L^p(w)$ spaces, $1<p<\infty$, for all Calder\'on-Zygmund operators having compact extensions on $L^2(\mathbb{R}^n)$. Similar methods lead to new results on…

Classical Analysis and ODEs · Mathematics 2024-07-23 Cody B. Stockdale , Paco Villarroya , Brett D. Wick

We prove sharp weighted estimates for the non-tangential maximal function of singular integrals mapping functions from $\mathbf{R}^n$ to the half-space in $\mathbf{R}^{1+n}$ above $\mathbf{R}^n$. The proof is based on pointwise sparse…

Classical Analysis and ODEs · Mathematics 2024-09-04 Andreas Rosén

In this series of two papers, we will prove a natural matrix weighted $T1$ theorem for matrix kernelled CZOs. In the current paper, we will prove matrix weighted norm inequalities for matrix symbolled paraproducts via a general matrix…

Classical Analysis and ODEs · Mathematics 2017-03-20 Joshua Isralowitz , Hyun Kyoung Kwon , Sandra Pott

We introduce a new sparse $T1$ theorem that estimates the dual pair associated with a Calderon-Zygmund operator by a sub-bilinear form supported on a sparse family of cubes. The main result in the paper improves previous sparse $T1$…

Classical Analysis and ODEs · Mathematics 2024-01-26 Paco Villarroya

We extend Lerner's recent approach to sparse domination of Calder\'on--Zygmund operators to upper doubling (but not necessarily doubling), geometrically doubling metric measure spaces. Our domination theorem is different from the one…

Classical Analysis and ODEs · Mathematics 2019-04-05 Alexander Volberg , Pavel Zorin-Kranich

In this paper, several versions of the Kolmogorov-Riesz compactness theorem in weighted Lebesgue spaces with matrix weights are obtained. In particular, when the matrix weight $W$ is in the known $A_p$ class, a characterization of totally…

Classical Analysis and ODEs · Mathematics 2021-02-03 Shenyu Liu , Dongyong Yang , Ciqiang Zhuo

We establish a uniform domination of the family of trilinear multiplier forms with singularity over a one-dimensional subspace by positive sparse forms involving $L^p$-averages. This class includes the adjoint forms to the bilinear Hilbert…

Classical Analysis and ODEs · Mathematics 2018-05-30 Amalia Culiuc , Francesco Di Plinio , Yumeng Ou

In this paper quantitative weighted matrix estimates for vector valued extensions of $L^{r'}$-H\"ormander operators and rough singular integrals are studied. Strong type $(p,p)$ estimates, endpoint estimates, and some new results on…

Classical Analysis and ODEs · Mathematics 2021-03-25 Pamela A. Muller , Israel P. Rivera-Ríos

We show weighted non-autonomous $L^q(L^p)$ maximal regularity for families of complex second-order systems in divergence form under a mixed regularity condition in space and time. To be more precise, we let $p,q \in (1,\infty)$ and we…

Analysis of PDEs · Mathematics 2025-07-15 Sebastian Bechtel

This paper establishes Carleson embeddings of M{\"u}ntz spaces $M^q_{\Lambda}$ into weighted Lebesgue spaces $L^p(\mathrm{d}\mu)$, where $\mu$ is a Borel regular measure on $[0,1]$ satisfying $\mu([1-\varepsilon])\lesssim…

Classical Analysis and ODEs · Mathematics 2024-03-04 Mickaël Latocca , Vincent Munnier

Efficient algorithms for the sparse solution of under-determined linear systems $Ax = b$ are known for matrices $A$ satisfying suitable assumptions like the restricted isometry property (RIP). Without such assumptions little is known and…

Machine Learning · Computer Science 2021-01-22 G. Welper
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