Jensen convex functions and doubly stochastic matrices

Fuente: arXiv
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Hauptverfasser: Barczy, Matyas, Páles, Zsolt
Format: Preprint
Veröffentlicht: 2025
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author Barczy, Matyas
Páles, Zsolt
author_facet Barczy, Matyas
Páles, Zsolt
contents 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.
format Preprint
id arxiv_https___arxiv_org_abs_2510_03715
institution arXiv
publishDate 2025
record_format arxiv
spellingShingle Jensen convex functions and doubly stochastic matrices
Barczy, Matyas
Páles, Zsolt
Classical Analysis and ODEs
39B62, 26A51
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.
title Jensen convex functions and doubly stochastic matrices
topic Classical Analysis and ODEs
39B62, 26A51
url https://arxiv.org/abs/2510.03715