期刊论文详细信息
| Open Mathematics | |
| A new refinement of Jensen’s inequality with applications in information theory | |
| Lu Guoxiang1  Xiao Lei1  | |
| [1] School of Statistics and Mathematics, Zhongnan University of Economics and Law, Wuhan 430073, P. R. China; | |
| 关键词: refinements; jensen’s inequality; information theory; shannon’s entropy; f-divergences; bounds; 26b25; 26d15; 94a17; | |
| DOI : 10.1515/math-2020-0123 | |
| 来源: DOAJ | |
【 摘 要 】
In this paper, we present a new refinement of Jensen’s inequality with applications in information theory. The refinement of Jensen’s inequality is obtained based on the general functional in the work of Popescu et al. As the applications in information theory, we provide new tighter bounds for Shannon’s entropy and some f-divergences.
【 授权许可】
Unknown