On Subgradients of Convex Functions and Orlicz Pseudo-Norms for Vector-Valued Functions

Fuente: arXiv
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Main Authors: Bobkov, Sergey G., Götze, Friedrich
Format: Preprint
Published: 2025
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author Bobkov, Sergey G.
Götze, Friedrich
author_facet Bobkov, Sergey G.
Götze, Friedrich
contents We discuss variants of construction of measurable subgradients for multivariate convex functions and the problem of characterization of the $Δ_2$-condition in terms of their directional derivatives. Furthermore we study related basic properties of Luxemburg and Orlicz pseudo-norms for vector-valued functions.
format Preprint
id arxiv_https___arxiv_org_abs_2512_00184
institution arXiv
publishDate 2025
record_format arxiv
spellingShingle On Subgradients of Convex Functions and Orlicz Pseudo-Norms for Vector-Valued Functions
Bobkov, Sergey G.
Götze, Friedrich
Functional Analysis
We discuss variants of construction of measurable subgradients for multivariate convex functions and the problem of characterization of the $Δ_2$-condition in terms of their directional derivatives. Furthermore we study related basic properties of Luxemburg and Orlicz pseudo-norms for vector-valued functions.
title On Subgradients of Convex Functions and Orlicz Pseudo-Norms for Vector-Valued Functions
topic Functional Analysis
url https://arxiv.org/abs/2512.00184