The role of Gröbner bases in the study of extremal truncated moment problems

In a 2014 paper, R.E. Curto and S. Yoo proved that a moment matrix M ( 3 ) with specific harmonic polynomials as column relations admits a representing measure if and only if a condition at the level of moments holds. In this paper, we generalize the 2014 result to arbitrary moment matrices M ( k ) ( k ∈ Z + ), with column relations given by general harmonic polynomials. We accomplish this by proving that the Gröbner basis for the ideal generated by a finite variety associated with the moment matrix provides all the necessary column relations for the matrix as well as a suitable condition on the moments, which is equivalent to the existence of a representing measure.

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Publication Details

Journal
Journal of Mathematical Analysis and Applications
Published
2026-10-05
DOI
https://doi.org/10.1016/j.jmaa.2026.131113
Primary Topic
Mathematical functions and polynomials
Type
article
Field-Weighted Citation Impact
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article

The role of Gröbner bases in the study of extremal truncated moment problems

Raúl E. Curto, Marc R. Moore
Journal of Mathematical Analysis and Applications
Mathematical functions and polynomials
article

The role of Gröbner bases in the study of extremal truncated moment problems

Raúl E. Curto, Marc R. Moore
article en

Abstract

In a 2014 paper, R.E. Curto and S. Yoo proved that a moment matrix M ( 3 ) with specific harmonic polynomials as column relations admits a representing measure if and only if a condition at the level of moments holds. In this paper, we generalize the 2014 result to arbitrary moment matrices M ( k ) ( k ∈ Z + ), with column relations given by general harmonic polynomials. We accomplish this by proving that the Gröbner basis for the ideal generated by a finite variety associated with the moment matrix provides all the necessary column relations for the matrix as well as a suitable condition on the moments, which is equivalent to the existence of a representing measure.

Journal of Mathematical Analysis and ApplicationsVol. 567(1)
University of Iowa (US)
Openalex Percentile: Top 88%
Mathematical functions and polynomials
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