Sharp Power Mean Bounds for Two Seiffert-like Means

The mean is a subject of extensive study among scholars, and the pursuit of optimal power mean bounds is a highly active field. This article begins with a concise overview of recent advancements in this area, focusing specifically on Seiffert-like means. We establish sharp power mean bounds for two...

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Main Authors: Zhenhang Yang, Jing Zhang
Format: Article
Language:English
Published: MDPI AG 2023-09-01
Series:Axioms
Subjects:
Online Access:https://www.mdpi.com/2075-1680/12/10/910
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author Zhenhang Yang
Jing Zhang
author_facet Zhenhang Yang
Jing Zhang
author_sort Zhenhang Yang
collection DOAJ
description The mean is a subject of extensive study among scholars, and the pursuit of optimal power mean bounds is a highly active field. This article begins with a concise overview of recent advancements in this area, focusing specifically on Seiffert-like means. We establish sharp power mean bounds for two Seiffert-like means, including the introduction and establishment of the best asymmetric mean bounds for symmetric means. Additionally, we explore the practical applications of these findings by extending several intriguing chains of inequalities that involve more than ten means. This comprehensive analysis provides a deeper understanding of the relationships and properties of these means.
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spelling doaj.art-4f221c993bb64c89be7b74fae60a4db92023-11-19T15:37:46ZengMDPI AGAxioms2075-16802023-09-01121091010.3390/axioms12100910Sharp Power Mean Bounds for Two Seiffert-like MeansZhenhang Yang0Jing Zhang1Department of Science and Technology, Stated Grid Zhejiang Electric Power Company Research Institute, Hangzhou 310014, ChinaInstitute of Fundamental and Interdisciplinary Sciences, Beijing Union University, Beijing 100101, ChinaThe mean is a subject of extensive study among scholars, and the pursuit of optimal power mean bounds is a highly active field. This article begins with a concise overview of recent advancements in this area, focusing specifically on Seiffert-like means. We establish sharp power mean bounds for two Seiffert-like means, including the introduction and establishment of the best asymmetric mean bounds for symmetric means. Additionally, we explore the practical applications of these findings by extending several intriguing chains of inequalities that involve more than ten means. This comprehensive analysis provides a deeper understanding of the relationships and properties of these means.https://www.mdpi.com/2075-1680/12/10/910Seiffert-like meanpower mean boundchains of inequalities
spellingShingle Zhenhang Yang
Jing Zhang
Sharp Power Mean Bounds for Two Seiffert-like Means
Axioms
Seiffert-like mean
power mean bound
chains of inequalities
title Sharp Power Mean Bounds for Two Seiffert-like Means
title_full Sharp Power Mean Bounds for Two Seiffert-like Means
title_fullStr Sharp Power Mean Bounds for Two Seiffert-like Means
title_full_unstemmed Sharp Power Mean Bounds for Two Seiffert-like Means
title_short Sharp Power Mean Bounds for Two Seiffert-like Means
title_sort sharp power mean bounds for two seiffert like means
topic Seiffert-like mean
power mean bound
chains of inequalities
url https://www.mdpi.com/2075-1680/12/10/910
work_keys_str_mv AT zhenhangyang sharppowermeanboundsfortwoseiffertlikemeans
AT jingzhang sharppowermeanboundsfortwoseiffertlikemeans