Uniform Boundedness of Sequence of Operators Associated with the Walsh System and Their Pointwise Convergence

IF 1.2 3区 数学 Q2 MATHEMATICS, APPLIED
Ushangi Goginava, Farrukh Mukhamedov
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引用次数: 0

Abstract

Revisiting the main point of the almost everywhere convergence, it becomes clear that a weak (1,1)-type inequality must be established for the maximal operator corresponding to the sequence of operators. The better route to take in obtaining almost everywhere convergence is by using the uniform boundedness of the sequence of operator, instead of using the mentioned maximal type of inequality. In this paper it is proved that a sequence of operators, defined by matrix transforms of the Walsh–Fourier series, is convergent almost everywhere to the function \(f\in L_{1}\) if they are uniformly bounded from the dyadic Hardy space \(H_{1} \left( {\mathbb {I}}\right) \) to \(L_{1}\left( \mathbb {I}\right) \). As a further matter, the characterization of the points are put forth where the sequence of the operators of the matrix transform is convergent.

与沃尔什系统相关的算子序列的均匀有界性及其点式收敛性
重温几乎无处不收敛的要点,我们可以清楚地看到,必须为与算子序列相对应的最大算子建立弱(1,1)型不等式。获得几乎无处不收敛的更好方法是利用算子序列的均匀有界性,而不是使用上述最大类型的不等式。本文证明了由沃尔什-傅里叶级数的矩阵变换定义的算子序列,如果它们从二元哈代空间 \(H_{1} \left( {\mathemat}) 中均匀有界,那么它们几乎无处不收敛于函数 \(f\in L_{1}\) 。\left( {\mathbb {I}\right) \)到 \(L_{1}\left( \mathbb {I}\right) \)。此外,还提出了矩阵变换算子序列收敛的点的特征。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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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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