Matrix inequalities and convex functions constitute a central theme in modern mathematical analysis, with far‐reaching implications across numerical analysis, optimisation, quantum information, and ...

This is a preview. Log in through your library . Abstract Let f be a positive real-valued function defined on an interval I ⊆ R. The function f is said to be log-convex if logf is convex on I. In this ...

A normalized univalent function is convex of bounded type if the curvature of the curve bounding the image domain lies between two fixed positive numbers. In this work we find sharp bounds for the ...