Refined Young Inequality and Its Application to Divergences
Shigeru Furuichi1, Nicuşor Minculete2
1Department of Information Science, College of Humanities and Sciences, Nihon University, 3-25-40, Sakurajyousui, Setagaya-ku, Tokyo 156-8550, Japan.
This study provides new bounds for the difference between weighted arithmetic and geometric means, refining Young inequalities. These findings have applications in information theory, impacting various divergence measures.
Area of Science:
- Mathematical Analysis
- Information Theory
Background:
- The relationship between weighted arithmetic and geometric means is fundamental in inequalities.
- Young's inequality and its reverses are crucial in various mathematical fields.
- Divergence measures are essential for quantifying differences between probability distributions.
Purpose of the Study:
- To establish novel bounds for the difference between weighted arithmetic and geometric means.
- To derive refined versions of Young's inequality and its reverses.
- To explore the implications of these inequalities on several information-theoretic divergence measures.
Main Methods:
- Derivation of new inequalities bounding the difference between weighted means.
- Analysis of the properties of these newly established bounds.
- Application of the derived inequalities to analyze properties of specific divergence measures.
Main Results:
- New bounds on the difference between weighted arithmetic and geometric means were established.
- Refined Young inequalities and their reverses were obtained.
- Novel results concerning Tsallis, Rényi, Jeffreys-Tsallis, and Jensen-Shannon-Tsallis divergences were demonstrated.
Conclusions:
- The established bounds offer a deeper understanding of the relationship between weighted means.
- The refined inequalities have significant theoretical implications.
- The study provides new analytical tools for information-theoretic divergences.
More Related Videos
10:26Problem-Solving Before Instruction PS-I: A Protocol for Assessment and Intervention in Students with Different Abilities
Published on: September 11, 2021
10:36Stress Distribution During Cold Compression of Rocks and Mineral Aggregates Using Synchrotron-based X-Ray Diffraction
Published on: May 20, 2018
Related Concept Videos
Application of Nonlinear Inequalities
Divergence and Curl
Introduction to Nonlinear Inequalities
Divergence and Stokes' Theorems
Graphical Representation of Inequalities
Inequalities
