Refinements of Jensen’s Inequality via Majorization Results with Applications in the Information Theory

In this study, we present some new refinements of the Jensen inequality with the help of majorization results. We use the concept of convexity along with the theory of majorization and obtain refinements of the Jensen inequality. Moreover, as consequences of the refined Jensen inequality, we derive...

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Main Authors: Yongping Deng, Hidayat Ullah, Muhammad Adil Khan, Sajid Iqbal, Shanhe Wu
Format: Article
Language:English
Published: Wiley 2021-01-01
Series:Journal of Mathematics
Online Access:http://dx.doi.org/10.1155/2021/1951799
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author Yongping Deng
Hidayat Ullah
Muhammad Adil Khan
Sajid Iqbal
Shanhe Wu
author_facet Yongping Deng
Hidayat Ullah
Muhammad Adil Khan
Sajid Iqbal
Shanhe Wu
author_sort Yongping Deng
collection DOAJ
description In this study, we present some new refinements of the Jensen inequality with the help of majorization results. We use the concept of convexity along with the theory of majorization and obtain refinements of the Jensen inequality. Moreover, as consequences of the refined Jensen inequality, we derive some bounds for power means and quasiarithmetic means. Furthermore, as applications of the refined Jensen inequality, we give some bounds for divergences, Shannon entropy, and various distances associated with probability distributions.
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institution Kabale University
issn 2314-4629
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publishDate 2021-01-01
publisher Wiley
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series Journal of Mathematics
spelling doaj-art-6bd2af6fc3e34d26aa135e83076d43892025-02-03T01:25:09ZengWileyJournal of Mathematics2314-46292314-47852021-01-01202110.1155/2021/19517991951799Refinements of Jensen’s Inequality via Majorization Results with Applications in the Information TheoryYongping Deng0Hidayat Ullah1Muhammad Adil Khan2Sajid Iqbal3Shanhe Wu4Department of Mathematics, Longyan University, Longyan 364012, ChinaDepartment of Mathematics, University of Peshawar, Peshawar 25000, PakistanDepartment of Mathematics, University of Peshawar, Peshawar 25000, PakistanDepartment of Mathematics, Riphah International University, Faisalabad Campus, Satyana Road, Faisalabad, PakistanDepartment of Mathematics, Longyan University, Longyan 364012, ChinaIn this study, we present some new refinements of the Jensen inequality with the help of majorization results. We use the concept of convexity along with the theory of majorization and obtain refinements of the Jensen inequality. Moreover, as consequences of the refined Jensen inequality, we derive some bounds for power means and quasiarithmetic means. Furthermore, as applications of the refined Jensen inequality, we give some bounds for divergences, Shannon entropy, and various distances associated with probability distributions.http://dx.doi.org/10.1155/2021/1951799
spellingShingle Yongping Deng
Hidayat Ullah
Muhammad Adil Khan
Sajid Iqbal
Shanhe Wu
Refinements of Jensen’s Inequality via Majorization Results with Applications in the Information Theory
Journal of Mathematics
title Refinements of Jensen’s Inequality via Majorization Results with Applications in the Information Theory
title_full Refinements of Jensen’s Inequality via Majorization Results with Applications in the Information Theory
title_fullStr Refinements of Jensen’s Inequality via Majorization Results with Applications in the Information Theory
title_full_unstemmed Refinements of Jensen’s Inequality via Majorization Results with Applications in the Information Theory
title_short Refinements of Jensen’s Inequality via Majorization Results with Applications in the Information Theory
title_sort refinements of jensen s inequality via majorization results with applications in the information theory
url http://dx.doi.org/10.1155/2021/1951799
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