Abstract

In this manuscript, we adopt a novel approach to present a new bound for the Jensen gap for functions whose double derivatives in absolute function, are convex. We demonstrate two numerical experiments to verify the main result and to discuss the tightness of the bound. Then we utilize the bound for deriving two new converses of the Hölder inequality and a bound for the Hermite-Hadamard gap. Finally, we demonstrate applications of the main result for various divergences in information theory. Also, we present a numerical example to verify the bound for Shannon entropy.

Highlights

  • AND PRELIMINARIESThe field of mathematical inequalities and their applications has recorded an exponential and significant growth in the last three decades with considerable impact in various areas of Science such as Engineering [12], Economics [25], Mathematical Statistics [24], Qualitative Theory of Integral and Differential Equations [21], Information Theory and Coding [16], [18] etc

  • Adil Khan et al.: New Bound for the Jensen Gap With Applications in Information Theory of the Hölder inequality, Corollary 1 demonstrate another converse of the Hölder inequality while Corollary 2 presents a bound for the Hermite-Hadamard gap

  • The Jensen inequality has generalized the concept of classical convexity

Read more

Summary

INTRODUCTION

The field of mathematical inequalities and their applications has recorded an exponential and significant growth in the last three decades with considerable impact in various areas of Science such as Engineering [12], Economics [25], Mathematical Statistics [24], Qualitative Theory of Integral and Differential Equations [21], Information Theory and Coding [16], [18] etc. An extensive literature exists regarding estimates for the Jensen gap and their applications in many branches of Science [1]–[8], [12], [15], [20], [24]–[26], [28] In this manuscript, we present a new bound as an estimate for the Jensen gap. We organize the remaining paper as: In Section II, we present a new main result following by a remark, two numerical experiments, a proposition, two corollaries and an another remark which completes the section. M. Adil Khan et al.: New Bound for the Jensen Gap With Applications in Information Theory of the Hölder inequality, Corollary 1 demonstrate another converse of the Hölder inequality while Corollary 2 presents a bound for the Hermite-Hadamard gap.

MAIN RESULT
APPLICATIONS IN INFORMATION THEORY
Full Text
Paper version not known

Talk to us

Join us for a 30 min session where you can share your feedback and ask us any queries you have

Schedule a call

Disclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.