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This paper corrects feasibility and convergence claims regarding the polarization hierarchy used in polynomial optimization over convex bodies, establishing stronger algebraic conditions and missing compactness arguments. While the core mathematics relates to optimization control, its direct application to nonnegative matrix rank provides a relevant theoretical foundation for quantum state tomography and algorithmic verification tasks.
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Comment on "The polarization hierarchy for polynomial optimization over convex bodies, with applications to nonnegative matrix rank"

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arXiv:2610.24542v1 Announce Type: cross Abstract: We revisit the feasibility and convergence claims for the polarization hierarchy of Pl\'avala, Ligthart and Gross [Linear Algebra Appl.\ 723 (2025) 15--32]. Counterexamples show that the stated assumption is insufficient for the feasibility characterization and for convergence of the hierarchy with the polarization constraint. We establish corrected results under a stronger algebraic condition and supply a missing compactness argument.

Abstract:We revisit the feasibility and convergence claims for the polarization hierarchy of Plávala, Ligthart and Gross [Linear Algebra Appl.\ 723 (2025) 15--32]. Counterexamples show that the stated assumption is insufficient for the feasibility characterization and for convergence of the hierarchy with the polarization constraint. We establish corrected results under a stronger algebraic condition and supply a missing compactness argument.

25 pages, Comment on this https URL (arXiv:2406.09506)

Optimization and Control (math.OC); Quantum Physics (quant-ph)

arXiv:2610.24542 [math.OC]

(or arXiv:2610.24542v1 [math.OC] for this version)

https://doi.org/10.48550/arXiv.2610.24542 Focus to learn more arXiv-issued DOI via DataCite

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