2019
DOI: 10.1186/s13660-019-2186-4
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Generalization of the Levinson inequality with applications to information theory

Abstract: In the presented paper, Levinson's inequality for the 3-convex function is generalized by using two Green functions.Čebyšev-, Grüss-and Ostrowski-type new bounds are found for the functionals involving data points of two types. Moreover, the main results are applied to information theory via the f -divergence, the Rényi divergence, the Rényi entropy, the Shannon entropy and the Zipf-Mandelbrot law.

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Cited by 16 publications
(18 citation statements)
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“…In [8], Adeel et al generalized Levinson's inequality for 3-convex function by using two Green functions. In [9], Pečarić et al gave a probabilistic version of Levinson's inequality (2) under Mercer's assumption of equal variances (but for a different number of data points) for the family of 3-convex functions at a point.…”
Section: Theorem 5 Let F Be a 3-convex Function Onmentioning
confidence: 99%
See 3 more Smart Citations
“…In [8], Adeel et al generalized Levinson's inequality for 3-convex function by using two Green functions. In [9], Pečarić et al gave a probabilistic version of Levinson's inequality (2) under Mercer's assumption of equal variances (but for a different number of data points) for the family of 3-convex functions at a point.…”
Section: Theorem 5 Let F Be a 3-convex Function Onmentioning
confidence: 99%
“…Theorem 14 Assume H. Let f ∈ C m [0, 2a] (m ≥ 3) with f (m-1) be absolutely continuous. Also let G F,m andJ (f (•)) be defined in (8) and (17) respectively. If…”
Section: Generalization Of Levinson's Inequalitiesmentioning
confidence: 99%
See 2 more Smart Citations
“…In recent times, Shannon entropy and Zipf-Mandelbrot law have been the topics of great interest, see for example [1,9,11,12]. The concept of Shannon entropy, the central source of information theory, is sometimes referred to as measure of uncertainty.…”
Section: Introductionmentioning
confidence: 99%