English

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.

Keywords

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

R2 v1 2026-07-01T06:16:52.658Z