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Auteur principal: Mayerhofer, Eberhard
Format: Preprint
Publié: 2021
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Accès en ligne:https://arxiv.org/abs/2101.02470
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author Mayerhofer, Eberhard
author_facet Mayerhofer, Eberhard
contents We establish lower norm bounds for multivariate functions within weighted Lebesgue spaces, characterized by a summation of functions whose components solve a system of nonlinear integral equations. This problem originates in portfolio selection theory, where these equations allow to identify mean-variance optimal portfolios, composed of standard European Options on several underlying assets. We elaborate on the Smirnov property-an integrability condition for the weights that guarantees the uniqueness of solutions to the system. Sufficient conditions on weights to satisfy this property are provided, and counterexamples are constructed, where either the Smirnov property does not hold, or the uniqueness of solutions fails.
format Preprint
id arxiv_https___arxiv_org_abs_2101_02470
institution arXiv
publishDate 2021
record_format arxiv
spellingShingle The Smirnov Property for weighted Lebesgue spaces
Mayerhofer, Eberhard
Functional Analysis
26B35, 52A21, 31B10
We establish lower norm bounds for multivariate functions within weighted Lebesgue spaces, characterized by a summation of functions whose components solve a system of nonlinear integral equations. This problem originates in portfolio selection theory, where these equations allow to identify mean-variance optimal portfolios, composed of standard European Options on several underlying assets. We elaborate on the Smirnov property-an integrability condition for the weights that guarantees the uniqueness of solutions to the system. Sufficient conditions on weights to satisfy this property are provided, and counterexamples are constructed, where either the Smirnov property does not hold, or the uniqueness of solutions fails.
title The Smirnov Property for weighted Lebesgue spaces
topic Functional Analysis
26B35, 52A21, 31B10
url https://arxiv.org/abs/2101.02470