Duality attainment and strict feasibility of the generalized moment problem and its relaxations

Fuente: arXiv
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Autores principales: Halaseh, Sami, Magron, Victor, Skomra, Mateusz
Formato: Preprint
Publicado: 2026
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author Halaseh, Sami
Magron, Victor
Skomra, Mateusz
author_facet Halaseh, Sami
Magron, Victor
Skomra, Mateusz
contents The generalized moment problem (GMP) is an infinite dimensional linear problem over the cone of finite nonnegative Borel measures. When a GMP instance involves finitely many polynomial moment constraints, moment/sum-of-squares hierarchies provide a sequence of bounds converging to the optimal value. We consider GMP instances with measures supported over a compact basic semialgebraic set $X$. We study the case when $X$ has nonempty interior, and the case when $X$ is the vanishing set of prescribed polynomials forming a Gröbner basis of the ideal they generate, which we assume is real radical. Under a relative interior assumption, we show attainment of the infinite dimensional dual problem, and attainment of each associated finite dimensional sum-of-squares strengthening. For the latter we present two disjoint proofs. The first is obtained by adapting results regarding the closedness of quadratic modules, and the second builds on Csiszár's work on exponential density constructions to find a strictly feasible measure. Finally, we discuss the special case where $X$ is the product of spheres, and applications of our results to GMP instances arising from tensor optimization and quantum information theory.
format Preprint
id arxiv_https___arxiv_org_abs_2604_15072
institution arXiv
publishDate 2026
record_format arxiv
spellingShingle Duality attainment and strict feasibility of the generalized moment problem and its relaxations
Halaseh, Sami
Magron, Victor
Skomra, Mateusz
Optimization and Control
90C22, 90C23
The generalized moment problem (GMP) is an infinite dimensional linear problem over the cone of finite nonnegative Borel measures. When a GMP instance involves finitely many polynomial moment constraints, moment/sum-of-squares hierarchies provide a sequence of bounds converging to the optimal value. We consider GMP instances with measures supported over a compact basic semialgebraic set $X$. We study the case when $X$ has nonempty interior, and the case when $X$ is the vanishing set of prescribed polynomials forming a Gröbner basis of the ideal they generate, which we assume is real radical. Under a relative interior assumption, we show attainment of the infinite dimensional dual problem, and attainment of each associated finite dimensional sum-of-squares strengthening. For the latter we present two disjoint proofs. The first is obtained by adapting results regarding the closedness of quadratic modules, and the second builds on Csiszár's work on exponential density constructions to find a strictly feasible measure. Finally, we discuss the special case where $X$ is the product of spheres, and applications of our results to GMP instances arising from tensor optimization and quantum information theory.
title Duality attainment and strict feasibility of the generalized moment problem and its relaxations
topic Optimization and Control
90C22, 90C23
url https://arxiv.org/abs/2604.15072