Naslov
Refinement of Jensen’s inequality and estimation of f- and Rényi divergence via Montgomery identity

Autori
Khan, Khuram Ali ; Niaz, Tasadduq ; Pečarić, Ðilda ; Pečarić, Josip

Izvornik
Journal of inequalities and applications (1025-5834) 2018 (2018); 318, 10

Vrsta, podvrsta i kategorija rada
Radovi u časopisima, članak, znanstveni

Ključne riječi
inequality, Jensen’s inequality, probability distribution, Rényi divergence, Shannon entropies Zipf–Mandelbrot law, hybrid Zipf–Mandelbrot law

Sažetak
Jensen’s inequality is important for obtaining inequalities for divergence between probability distribution. By applying a refinement of Jensen’s inequality (Horváth et al. in Math. Inequal. Appl. 14:777–791, 2011) and introducing a new functional based on an f-divergence functional, we obtain some estimates for the new functionals, the f-divergence, and Rényi divergence. Some inequalities for Rényi and Shannon estimates are constructed. The Zipf–Mandelbrot law is used to illustrate the result. In addition, we generalize the refinement of Jensen’s inequality and new inequalities of Rényi Shannon entropies for an m-convex function using the Montgomery identity. It is also given that the maximization of Shannon entropy is a transition from the Zipf–Mandelbrot law to a hybrid Zipf–Mandelbrot law.

Izvorni jezik
Engleski

Znanstvena područja
Matematika, Informacijske i komunikacijske znanosti

POVEZANOST RADA