2020
DOI: 10.1002/mma.6869
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Jensen‐Grüss inequality and its applications for the Zipf‐Mandelbrot law

Abstract: In this paper, we prove several Jensen‐Grüss type inequalities under various conditions. Some applications in information theory are also given.

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Cited by 33 publications
(16 citation statements)
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“…Furthermore, this inequality has been used in various areas of sciences and technology to solve several problems, such as engineering, mathematical statistics, financial economics, and computer science. Some recent results can be seen in [12][13][14].…”
Section: Definition 1 a Function λmentioning
confidence: 99%
“…Furthermore, this inequality has been used in various areas of sciences and technology to solve several problems, such as engineering, mathematical statistics, financial economics, and computer science. Some recent results can be seen in [12][13][14].…”
Section: Definition 1 a Function λmentioning
confidence: 99%
“…In [29], the authors defined the weighted Caputo-Fabrizio fractional derivative and studied related linear and nonlinear fractional differential equations. In the literature, very little work has been reported on fractional integral inequalities using [33,34] proved some new integral inequalities by using generalized fractional integral operators and some classical inequalities for integrable functions and their applications to the Zipf-Mandelbrot law. Motivated by the above work, the main objective of this article is to establish some new results for the Pólya-Szegö inequality and some other inequalities using the Caputo-Fabrizio fractional integrals.…”
Section: Introductionmentioning
confidence: 99%
“…Jensen's inequality is the key to success in extracting applications in information theory. It is effective in finding estimates for several quantitative measures in information theory about continuous random variables, see [1][2][3]. The (J-I) can be stated as a generalization of convex functions as follows:…”
Section: Introductionmentioning
confidence: 99%