On general characterization of Young measures associated with Borel functions

We prove that the Young measure associated with a Borel function $f$ is a probability distribution of the random variable $f(U)$, where $U$ has a uniform distribution on the domain of $f$. Examples of specific applications of the main result, including Monte Carlo method of simulation of Young measures, are presented with comments.

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Publication Details

Journal
Archives of Control Sciences
Published
2026-06-25
DOI
https://doi.org/10.24425/acs.2026.1539
Primary Topic
Functional Equations Stability Results
Type
preprint
Field-Weighted Citation Impact
0.00
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preprint

On general characterization of Young measures associated with Borel functions

Piotr Puchała, Andrzej Z. Grzybowski
Archives of Control Sciences
Functional Equations Stability Results
preprint

On general characterization of Young measures associated with Borel functions

Piotr Puchała, Andrzej Z. Grzybowski
preprint en

Abstract

We prove that the Young measure associated with a Borel function $f$ is a probability distribution of the random variable $f(U)$, where $U$ has a uniform distribution on the domain of $f$. Examples of specific applications of the main result, including Monte Carlo method of simulation of Young measures, are presented with comments.

Archives of Control SciencesVol. 36(2)
Częstochowa University of Technology (PL)
Reduced inequalities
Openalex Percentile: Top 100%
Functional Equations Stability Results
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On general characterization of Young measures associated with Borel functions — Piotr Puchała, Andrzej Z. Grzybowski · Archives of Control Sciences (2026) | TGRS Research Map | TGRS