2 research outputs found

    How type of Convexity of the Core function affects the Csisz\'{a}r ff-divergence functional

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    We investigate how the type of Convexity of the Core function affects the Csisz\'{a}r ff-divergence functional. A general treatment for the type of convexity has been considered and the associated perspective functions have been studied. In particular, it has been shown that when the core function is \rm{MN}-convex, then the associated perspective function is jointly \rm{MN}-convex if the two scalar mean \rm{M} and \rm{N} are the same. In the case where M≠N\mathrm{M}\neq\mathrm{N}, we study the type of convexity of the perspective function. As an application, we prove that the \textit{Hellinger distance} is jointly \rm{GG}-convex. As further applications, the matrix Jensen inequality has been developed for the perspective functions under different kinds of convexity

    Some inequalities on hh-convex functions

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    In this paper, we state some characterizations of hh-convex function is defined on a convex set in a linear space. By doing so, we extend the Jensen-Mercer inequality for hh-convex function. We will also define hh-convex function for operators on a Hilbert space and present the operator version of the Jensen-Mercer inequality. Lastly, we propound the complementary inequality of Jensen's inequality for hh-convex functions
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