English
Related papers

Related papers: Random Martingales and localization of maximal ine…

200 papers

A recent trend in compressed sensing is to consider non-convex optimization techniques for sparse recovery. The important case of $F$-minimization has become of particular interest, for which the exact reconstruction condition (ERC) in the…

Information Theory · Computer Science 2017-02-22 Jingbo Liu , Jian Jin , Yuantao Gu

Many spatial models exhibit locality structures that effectively reduce their intrinsic dimensionality, enabling efficient approximation and sampling of high-dimensional distributions. However, existing approximation techniques primarily…

Machine Learning · Statistics 2026-02-02 Tiangang Cui , Shuigen Liu , Xin T. Tong

We explore the properties of discrete random Schroedinger operators in which the random part of the potential is supported on a sub-lattice. In particular, we provide new conditions on the sub-lattice under which Anderson localisation…

Mathematical Physics · Physics 2017-08-07 Alexander Elgart , Sasha Sodin

In this paper, we prove that the inclusions between Morrey spaces, between weak Morrey spaces, and between a Morrey space and a weak Morrey space are all proper. The proper inclusion between a Morrey space and a weak Morrey space is…

Functional Analysis · Mathematics 2018-02-20 Hendra Gunawan , Denny I. Hakim , Mochammad Idris

In this article, we prove maximal inequality and ergodic theorems for state preserving actions on von Neumann algebra by an amenable, locally compact, second countable group equipped with the metric satisfying the doubling condition. The…

Operator Algebras · Mathematics 2024-07-09 Panchugopal Bikram , Diptesh Saha

Mendelian randomization (MR) has been a popular method in genetic epidemiology to estimate the effect of an exposure on an outcome using genetic variants as instrumental variables (IV), with two-sample summary-data MR being the most…

Methodology · Statistics 2021-06-08 Sheng Wang , Hyunseung Kang

We study theoretical properties of regularized robust M-estimators, applicable when data are drawn from a sparse high-dimensional linear model and contaminated by heavy-tailed distributions and/or outliers in the additive errors and…

Statistics Theory · Mathematics 2015-01-05 Po-Ling Loh

We consider a super-Brownian motion $\{X_t, t\geq 0\}$ in a random environment described by a centered Gaussian field $\{W(t,x),t\geq 0, x\in\mathbb{R}^d\}$ whose correlation function is given by $\mathcal{C} (x,y)(t \wedge s)$. The process…

Probability · Mathematics 2026-04-23 Zhen-Qing Chen , Yan-Xia Ren , Guohuan Zhao

Let $(X,d,\mu )$ be a space of homogeneous type in the sense of Coifman and Weiss, i.e. $d$ is a quasi metric on $X$ and $\mu $ is a positive measure satisfying the doubling condition. Suppose that $u$ and $v$ are two locally finite…

Classical Analysis and ODEs · Mathematics 2020-06-12 Xuan Thinh Duong , Ji Li , Eric T. Sawyer , Manasa N. Vempati , Brett D. Wick , Dongyong Yang

Let $(\Omega,\mathcal{F},\mathbb{P})$ be a probability space and $\varphi:\ \Omega\times[0,\infty)\to[0,\infty)$ be a Musielak-Orlicz function. In this article, the authors prove that the Doob maximal operator is bounded on the…

Classical Analysis and ODEs · Mathematics 2018-10-12 Guangheng Xie , Ferenc Weisz , Dachun Yang , Yong Jiao

Let $M$ be a complete Riemannian manifold, $N\in \NN$ and $p\ge 1$. We prove that almost everywhere on $x=(x_1,...,x_N)\in M^N$ for Lebesgue measure in $M^N$, the measure $\di \mu(x)=\f1N\sum_{k=1}^N\d_{x_k}$ has a unique $p$-mean $e_p(x)$.…

Probability · Mathematics 2012-07-16 Marc Arnaudon , Laurent Miclo

In this note, we study a quantitative extension of the John-Nirenberg inequality for the Hardy-Littlewood maximal function of a $\operatorname{BMO}$ function. More precisely, for every nonconstant locally integrable function $f$ such that…

Classical Analysis and ODEs · Mathematics 2025-11-27 Alejandro Claros

In the context of radial weights we study the dimension dependence of some weighted inequalities for maximal operators. We study the growth of the $A_1$-constants for radial weights and show the equivalence between the uniform boundedness…

Classical Analysis and ODEs · Mathematics 2013-12-18 Alberto Criado , Fernando Soria

We study the theoretical properties of learning a dictionary from $N$ signals $\mathbf x_i\in \mathbb R^K$ for $i=1,...,N$ via $l_1$-minimization. We assume that $\mathbf x_i$'s are $i.i.d.$ random linear combinations of the $K$ columns…

Machine Learning · Statistics 2016-07-13 Siqi Wu , Bin Yu

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 ${\mathcal X}$ be a metric space with doubling measure, $L$ a nonnegative self-adjoint operator in $L^2({\mathcal X})$ satisfying the Davies-Gaffney estimate, $\omega$ a concave function on $(0,\infty)$ of strictly lower type…

Classical Analysis and ODEs · Mathematics 2010-08-16 Renjin Jiang , Dachun Yang

In \cite{Lee:2006:schrod-converg}, when the spatial variable $x$ is localized, Lee observed that the Schr\"odinger maximal operator $e^{it\Delta}f(x)$ enjoys certain localization property in $t$ for frequency localized functions. In this…

Classical Analysis and ODEs · Mathematics 2010-06-15 Shuanglin Shao

We prove the sharp mixed $A_{p}-A_{\infty}$ weighted estimate for the Hardy-Littlewood maximal function in the context of weighted Lorentz spaces, namely \[ \|M\|_{L^{p,q}(w)} \lesssim_{p,q,n}…

Classical Analysis and ODEs · Mathematics 2024-10-03 Natalia Accomazzo , Javier Duoandikoetxea , Zoe Nieraeth , Sheldy Ombrosi , Carlos Pérez

We reduce the boundedness of operators in Morrey spaces $L_p^r({\mathbb R}^n)$, its preduals, $H^{\varrho}L_p ({\mathbb R}^n)$, and their preduals $\overset{\circ}{L}{}^r_p({\mathbb R}^n)$ to the boundedness of the appropriate operators in…

Functional Analysis · Mathematics 2015-08-03 Marcel Rosenthal , Hans-Jürgen Schmeisser

We quantify the minimax rate for a nonparametric regression model over a star-shaped function class $\mathcal{F}$ with bounded diameter. We obtain a minimax rate of ${\varepsilon^{\ast}}^2\wedge\mathrm{diam}(\mathcal{F})^2$ where…

Statistics Theory · Mathematics 2025-08-20 Akshay Prasadan , Matey Neykov