$$H^p$$ 空间中正交展开的夏普-哈代不等式

IF 1.2 3区 数学 Q2 MATHEMATICS, APPLIED
Paweł Plewa
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引用次数: 0

摘要

哈代不等式是在(H^p\)空间、(p\in (0,1]\)正交展开的背景下,针对具有勒贝格度量的(\mathbb {R}^d\)中广泛的一类域上的一般基础进行研究的。得到的结果被应用于各种赫米特、拉盖尔和雅可比展开。为此,证明了对底层函数的高阶导数以及相关热核或泊松核的一些微妙估计。此外,通过构建一个明确的反例,证明了所研究的哈代不等式的尖锐性,该反例适用于所有考虑的情况。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Sharp Hardy’s Inequality for Orthogonal Expansions in  $$H^p$$  Spaces

Hardy’s inequality on \(H^p\) spaces, \(p\in (0,1]\), in the context of orthogonal expansions is investigated for general bases on a wide class of domains in \(\mathbb {R}^d\) with Lebesgue measure. The obtained result is applied to various Hermite, Laguerre, and Jacobi expansions. For that purpose some delicate estimates of the higher order derivatives for the underlying functions and of the associated heat or Poison kernels are proved. Moreover, sharpness of studied Hardy’s inequalities is justified by a construction of an explicit counterexample, which is adjusted to all considered settings.

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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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