线性和多线性伪微分算子的尖锐最大函数估计值

IF 1.7 2区 数学 Q1 MATHEMATICS
Bae Jun Park , Naohito Tomita
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引用次数: 0

摘要

在本文中,我们用费弗曼-斯坦尖锐最大函数和哈代-利特尔伍德类型最大函数研究了具有奇异符号的线性和多线性伪微分算子的点估计。特别是在多线性情况下,我们使用了由 Lerner、Ombrosi、Pérez、Torres 和 Trujillo-González [16] 引入的经典 Hardy-Littlewood 最大函数的多子线性变体,它在多线性设置中提供了更精细、更自然的加权估计。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Sharp maximal function estimates for linear and multilinear pseudo-differential operators

In this paper, we study pointwise estimates for linear and multilinear pseudo-differential operators with exotic symbols in terms of the Fefferman-Stein sharp maximal function and Hardy-Littlewood type maximal function. Especially in the multilinear case, we use a multi-sublinear variant of the classical Hardy-Littlewood maximal function introduced by Lerner, Ombrosi, Pérez, Torres, and Trujillo-González [16], which provides more elaborate and natural weighted estimates in the multilinear setting.

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来源期刊
CiteScore
3.20
自引率
5.90%
发文量
271
审稿时长
7.5 months
期刊介绍: The Journal of Functional Analysis presents original research papers in all scientific disciplines in which modern functional analysis plays a basic role. Articles by scientists in a variety of interdisciplinary areas are published. Research Areas Include: • Significant applications of functional analysis, including those to other areas of mathematics • New developments in functional analysis • Contributions to important problems in and challenges to functional analysis
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