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相关论文: Spherical maximal operators with fractal sets of d…

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For the spherical mean operators $\mathcal{A}_t$ in $\mathbb{R}^d$, $d\ge 2$, we consider the maximal functions $M_Ef =\sup_{t\in E} |\mathcal{A}_t f|$, with dilation sets $E\subset [1,2]$. In this paper we give a surprising…

经典分析与常微分方程 · 数学 2023-08-29 Joris Roos , Andreas Seeger

In this paper, we study the spherical maximal operator $ M_E $ over $ E\subset [1,2]$, restricted to radial functions. In higher dimensions $ d\geq 3$, we establish a complete range of $ L^p-$improving estimates for $ M_E $. In two…

经典分析与常微分方程 · 数学 2024-12-16 Shuijiang Zhao

In this paper, we investigate $L^p-$boundedness of the bilinear spherical maximal function associated with a general set $E\subset\R_+$. We quantify the range of $L^p-$boundedness in terms of a dilation-invariant notion of upper Minkowski…

经典分析与常微分方程 · 数学 2026-04-21 Surjeet Singh Choudhary , Chun-Yen Shen , Saurabh Shrivastava

Consider spherical means on the Heisenberg group with a codimension two incidence relation, and associated spherical local maximal functions $M_Ef$ where the dilations are restricted to a set $E$. We prove $L^p\to L^q$ estimates for these…

经典分析与常微分方程 · 数学 2025-01-24 Joris Roos , Andreas Seeger , Rajula Srivastava

For a function $f\in L^p(\Bbb R^d)$, $d\ge 2$, let $A_t f(x)$ be the mean of $f$ over the sphere of radius $t$ centered at $x$. Given a set $E\subset (0,\infty)$ of dilations we prove endpoint bounds for the maximal operator $M_E$ defined…

经典分析与常微分方程 · 数学 2010-04-08 Andreas Seeger , Terence Tao , James Wright

In this paper, we study the $L^{p}$-improving property for the maximal operators along a large class of curves of finite type in the plane with dilation set $E \subset [1,2]$. The $L^{p}$-improving region depends on the order of finite type…

经典分析与常微分方程 · 数学 2024-06-12 Wenjuan Li , Huiju Wang

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…

经典分析与常微分方程 · 数学 2023-07-25 Joris Roos , Andreas Seeger , Rajula Srivastava

Let $f\in L^p(\mathbb{R}^d)$, $d\ge 3$, and let $A_t f(x)$ the average of $f$ over the sphere with radius $t$ centered at $x$. For a subset $E$ of $[1,2]$ we prove close to sharp $L^p\to L^q$ estimates for the maximal function $\sup_{t\in…

经典分析与常微分方程 · 数学 2021-03-18 Theresa C. Anderson , Kevin Hughes , Joris Roos , Andreas Seeger

Let $A_tf(x)=\int f(x+ty)d\sigma(y)$ denote the spherical means in $\Bbb R^d$ ($d\sigma$ is surface measure on $S^{d-1}$, normalized to $1$). We prove sharp estimates for the maximal function $M_E f(x)=\sup_{t\in E}|A_tf(x)|$ where $E$ is a…

泛函分析 · 数学 2016-09-06 Andreas Seeger , Stephen Wainger , James Wright

Lebesgue space estimates are obtained for the circular maximal function on the Heisenberg group $\mathbb{H}^1$ restricted to a class of Heisenberg radial functions. Under this assumption, the problem reduces to studying a maximal operator…

经典分析与常微分方程 · 数学 2021-01-13 David Beltran , Shaoming Guo , Jonathan Hickman , Andreas Seeger

Given a hypersurface $S\subset \mathbb{R}^{2d}$, we study the bilinear averaging operator that averages a pair of functions over $S$, as well as more general bilinear multipliers of limited decay and various maximal analogs. Of particular…

经典分析与常微分方程 · 数学 2023-11-30 Tainara Borges , Benjamin Foster , Yumeng Ou

We survey old and new conjectures and results on various types of spherical maximal functions, emphasizing problems with a fractal dilation set.

经典分析与常微分方程 · 数学 2026-05-12 Joris Roos , Andreas Seeger

We find the sharp range for boundedness of the discrete bilinear spherical maximal function for dimensions $d \geq 5$. That is, we show that this operator is bounded on $l^{p}(\mathbb{Z}^d)\times l^{q}(\mathbb{Z}^d) \to l^{r}(\mathbb{Z}^d)$…

经典分析与常微分方程 · 数学 2021-02-03 Theresa C. Anderson , Eyvindur Ari Palsson

Sharp $L^p$--$L^q$ estimates for the spherical maximal function over dilation sets of fractal dimensions, including the endpoint estimates, were recently proved by Anderson--Hughes--Roos--Seeger. More intricate $L^p$--$L^q$ estimates for…

经典分析与常微分方程 · 数学 2025-06-26 Sanghyuk Lee , Luz Roncal , Feng Zhang , Shuijiang Zhao

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…

泛函分析 · 数学 2013-06-28 Piotr Hajlasz , Zhuomin Liu

We study a generalized spherical means operator, viz. generalized spherical mean Radon transform, acting on radial functions. As the main results, we find conditions for the associated maximal operator and its local variant to be bounded on…

经典分析与常微分方程 · 数学 2020-10-22 Óscar Ciaurri , Adam Nowak , Luz Roncal

In this paper, we investigate $L^p$ bounds of maximal Fourier multiplier operators with dilation of fractional dimensions. For Fourier multipliers, we suggest a criterion related to dimensions of dilation sets which guarantees $L^p$ bounds…

经典分析与常微分方程 · 数学 2025-11-04 Jin Bong Lee , Jinsol Seo

We find sharp conditions for the maximal operator associated with generalized spherical mean Radon transform on radial functions $M^{\a,\b}_t$ to be bounded on power weighted Lebesgue spaces. Moreover, we also obtain the corresponding…

经典分析与常微分方程 · 数学 2024-08-09 Adam Nowak , Luz Roncal , Tomasz Z. Szarek

Results analogous to those proved by Rubio de Francia are obtained for a class of maximal functions formed by dilations of bilinear multiplier operators of limited decay. We focus our attention to $L^2\times L^2\to L^1$ estimates. We…

经典分析与常微分方程 · 数学 2018-04-27 Loukas Grafakos , Danqing He , Petr Honzík

In dimension $n=1$ we obtain $L^{p_1}(\mathbb R) \times\dots\times L^{p_m}(\mathbb R)$ to $L^p(\mathbb R)$ boundedness for the multilinear spherical maximal function in the largest possible open set of indices and we provide counterexamples…

经典分析与常微分方程 · 数学 2024-12-04 Georgios Dosidis , João P. G. Ramos
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