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

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 epi-converges in distribution, then the pertaining sets of -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.

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Publication Details

Journal
Kybernetika
Published
2026-01-13
DOI
https://doi.org/10.14736/kyb-2026-1-0018
Primary Topic
Nonlinear Differential Equations Analysis
Type
article
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article

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

Dietmar Ferger
Kybernetika
Nonlinear Differential Equations Analysis
article

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

Dietmar Ferger
article en

Abstract

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 epi-converges in distribution, then the pertaining sets of -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.

Kybernetika
Openalex Percentile: Top 88%
Nonlinear Differential Equations Analysis
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