One-Dimensional Discrete Hardy and Rellich Inequalities on Integers

IF 1.2 3区 数学 Q2 MATHEMATICS, APPLIED
Shubham Gupta
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引用次数: 0

Abstract

In this paper, we consider a weighted version of one-dimensional discrete Hardy inequalities with power weights of the form \(n^\alpha \). We prove the inequality when \(\alpha \) is an even natural number with the sharp constant and remainder terms. We also find explicit constants in standard and weighted Rellich inequalities(with weights \(n^\alpha \)) which are asymptotically sharp as \(\alpha \rightarrow \infty \). As a by-product of this work we derive a combinatorial identity using purely analytic methods, which suggests a plausible correlation between combinatorial and functional identities.

整数上的一维离散哈代不等式和雷利克不等式
在本文中,我们考虑了一维离散哈代不等式的加权版本,其幂权形式为 \(n^\alpha \)。当 \(α \) 是一个偶数自然数时,我们证明了这个不等式,并带有尖锐常数和余项。我们还在标准不等式和加权雷利奇不等式(权重为 \(n^\alpha \))中找到了明确的常数,这些常数在 \(α \右箭头 \infty\)时是渐近尖锐的。作为这项工作的副产品,我们用纯粹的分析方法推导出了一个组合同一性,这表明组合同一性和函数同一性之间存在着可信的关联。
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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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