$$L^p(\mathbb {R}^d)$$ Boundedness for a Class of Nonstandard Singular Integral Operators

IF 1.2 3区 数学 Q2 MATHEMATICS, APPLIED
Jiecheng Chen, Guoen Hu, Xiangxing Tao
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引用次数: 0

Abstract

In this paper, let \(\Omega \) be homogeneous of degree zero which has vanishing moment of order one, A be a function on \(\mathbb {R}^d\) such that \(\nabla A\in \textrm{BMO}(\mathbb {R}^d)\), we consider a class of nonstandard singular integral operators, \(T_{\Omega ,\,A}\), with rough kernel being of the form \( \frac{\Omega (x-y)}{\vert x-y\vert ^{d+1}}\big (A(x)-A(y)-\nabla A(y)(x-y)\big ) \). This operator is closely related to the Calderón commutator. We prove that, under the Grafakos-Stefanov minimum size condition \(GS_{\beta }(S^{d-1})\) with \(2<\beta <\infty \) for \(\Omega \), \(T_{\Omega ,\,A}\) is bounded on \(L^p(\mathbb {R}^d)\) for p with \(1+1/(\beta -1)< p < \beta \).

一类非标准奇异积分算子的 $$L^p(\mathbb {R}^d)$$ 有界性
在本文中,让 \(\Omega \) 是零度同调,它有一阶消失矩,A 是 \(\mathbb {R}^d\) 上的函数,使得 \(\nabla A\in \textrm{BMO}(\mathbb {R}^d)\)、我们考虑一类非标准奇异积分算子,T(T_{\Omega ,\,A}\),其粗核的形式是 ( (frac{\Omega (x-y)}{\vert x-y\vert ^{d+1}}}\big (A(x)-A(y)-\nabla A(y)(x-y)\big )\).这个算子与卡尔德龙换向器密切相关。我们证明,在格拉法科斯-斯特凡诺夫最小尺寸条件下 \(GS_{\beta }(S^{d-1})\) with \(2<\beta <;\(1+1/(\beta -1)< p < \beta\).
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来源期刊
CiteScore
2.10
自引率
16.70%
发文量
72
审稿时长
6-12 weeks
期刊介绍: The Journal of Fourier Analysis and Applications will publish results in Fourier analysis, as well as applicable mathematics having a significant Fourier analytic component. Appropriate manuscripts at the highest research level will be accepted for publication. Because of the extensive, intricate, and fundamental relationship between Fourier analysis and so many other subjects, selected and readable surveys will also be published. These surveys will include historical articles, research tutorials, and expositions of specific topics. TheJournal of Fourier Analysis and Applications will provide a perspective and means for centralizing and disseminating new information from the vantage point of Fourier analysis. The breadth of Fourier analysis and diversity of its applicability require that each paper should contain a clear and motivated introduction, which is accessible to all of our readers. Areas of applications include the following: antenna theory * crystallography * fast algorithms * Gabor theory and applications * image processing * number theory * optics * partial differential equations * prediction theory * radar applications * sampling theory * spectral estimation * speech processing * stochastic processes * time-frequency analysis * time series * tomography * turbulence * uncertainty principles * wavelet theory and applications
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