Epi-convergence in distribution of normal integrands with applications to sets of epsilon-optimal solutions

Fuente: arXiv
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Main Author: Ferger, Dietmar
Format: Preprint
Published: 2025
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author Ferger, Dietmar
author_facet Ferger, Dietmar
contents We derive necessary and sufficient conditions for epi-convergence in distribution of normal integrands. As a basic tool for the proof a new characterisation for distributional convergence of random closed sets is used. Our approach via the epi-topology allows us to show that, if a net of normal integrands epiconverges in distribution, then the pertaining sets of epsilon-optimal solutions converge in distribution in the underlying hyperspace endowed with the upper-Fell topology. Under some boundedness and uniquenss assumptions the convergence even holds for the Fell topology. Finally, measurable selections converge weakly to a Choquet-capacity.
format Preprint
id arxiv_https___arxiv_org_abs_2507_16297
institution arXiv
publishDate 2025
record_format arxiv
spellingShingle Epi-convergence in distribution of normal integrands with applications to sets of epsilon-optimal solutions
Ferger, Dietmar
Probability
60B05, 60B10, 26E25
We derive necessary and sufficient conditions for epi-convergence in distribution of normal integrands. As a basic tool for the proof a new characterisation for distributional convergence of random closed sets is used. Our approach via the epi-topology allows us to show that, if a net of normal integrands epiconverges in distribution, then the pertaining sets of epsilon-optimal solutions converge in distribution in the underlying hyperspace endowed with the upper-Fell topology. Under some boundedness and uniquenss assumptions the convergence even holds for the Fell topology. Finally, measurable selections converge weakly to a Choquet-capacity.
title Epi-convergence in distribution of normal integrands with applications to sets of epsilon-optimal solutions
topic Probability
60B05, 60B10, 26E25
url https://arxiv.org/abs/2507.16297