Jensen convex functions and doubly stochastic matrices
Classical Analysis and ODEs
2025-10-07 v1
Abstract
Given an nxn doubly stochastic matrix P satisfying an appropriate condition of linear algebraic-type, and a function f defined on a nonempty interval, we show that the validity of a convexity-type functional inequality for f in terms P implies that f is Jensen convex. We also prove that if f is convex, then the functional inequality in question holds for all doubly stochastic matrices of any order. The particular case when the doubly stochastic matrix is a circulant one is also considered.
Cite
@article{arxiv.2510.03715,
title = {Jensen convex functions and doubly stochastic matrices},
author = {Matyas Barczy and Zsolt Páles},
journal= {arXiv preprint arXiv:2510.03715},
year = {2025}
}
Comments
14 pages