函数序列的统计Riemann和Lebesgue可积性的应用

K. Raj, S. Sharma
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引用次数: 0

摘要

本文提出利用递延N¨orlund均值和递延Riesz均值研究统计Riemann可积性、统计Riemann可积性、统计Lebesgue可积性和统计Lebesgue可积性。我们讨论了一些基本定理,将这些概念与实例联系起来。作为我们新形成的序列的一个应用,我们利用Meyer-K¨onig和Zeller算子引入了korovkin型逼近定理,并给出了相关的正线性算子的例子,以证明我们的发现的有效性
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Applications of statistical Riemann and Lebesgue integrability of sequence of functions
In the present work, we propose to investigate statistical Riemann integrability, statistical Riemann summability, statistical Lebesgue integrability and statistical Lebesgue summability by means of deferred N¨orlund and deferred Riesz mean. We discuss some fundamental theorems connecting these concepts with examples. As an application to our newly formed sequences, we introduce Korovkin-type approximation theorems with relevant example for positive linear operators by using Meyer-K¨onig and Zeller operators to exhibit the effectiveness of our findings
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来源期刊
Journal of Nonlinear Sciences and Applications
Journal of Nonlinear Sciences and Applications MATHEMATICS, APPLIED-MATHEMATICS
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发文量
11
期刊介绍: The Journal of Nonlinear Science and Applications (JNSA) (print: ISSN 2008-1898 online: ISSN 2008-1901) is an international journal which provides very fast publication of original research papers in the fields of nonlinear analysis. Journal of Nonlinear Science and Applications is a journal that aims to unite and stimulate mathematical research community. It publishes original research papers and survey articles on all areas of nonlinear analysis and theoretical applied nonlinear analysis. All articles are fully refereed and are judged by their contribution to advancing the state of the science of mathematics. Manuscripts are invited from academicians, research students, and scientists for publication consideration. Papers are accepted for editorial consideration through online submission with the understanding that they have not been published, submitted or accepted for publication elsewhere.
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