Fine multidegrees, universal Gröbner bases, and matrix Schubert varieties

Abstract We give a criterion for a collection of polynomials to be a universal Gröbner basis for an ideal in terms of the multidegree of the closure of the corresponding affine variety in . This criterion can be used to give simple proofs of several existing results on universal Gröbner bases. We introduce fine Schubert polynomials, which record the multidegrees of the closures of matrix Schubert varieties in . We compute the fine Schubert polynomials of permutations where the coefficients of the Schubert polynomials of and are all either 0 or 1, and we use this to give a universal Gröbner basis for the ideal of the matrix Schubert variety of such a permutation.

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Publication Details

Journal
Journal of the London Mathematical Society
Published
2026-07-24
DOI
https://doi.org/10.1112/jlms.70647
Primary Topic
Polynomial and algebraic computation
Type
article
Field-Weighted Citation Impact
0.00

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article

Fine multidegrees, universal Gröbner bases, and matrix Schubert varieties

Matt Larson, Daoji Huang
Journal of the London Mathematical Society
Polynomial and algebraic computation
article

Fine multidegrees, universal Gröbner bases, and matrix Schubert varieties

Matt Larson, Daoji Huang
article en

Abstract

Abstract We give a criterion for a collection of polynomials to be a universal Gröbner basis for an ideal in terms of the multidegree of the closure of the corresponding affine variety in . This criterion can be used to give simple proofs of several existing results on universal Gröbner bases. We introduce fine Schubert polynomials, which record the multidegrees of the closures of matrix Schubert varieties in . We compute the fine Schubert polynomials of permutations where the coefficients of the Schubert polynomials of and are all either 0 or 1, and we use this to give a universal Gröbner basis for the ideal of the matrix Schubert variety of such a permutation.

Journal of the London Mathematical SocietyVol. 114(2)
Princeton University (US), University of Massachusetts Amherst (US)
National Science Foundation
Openalex Percentile: Top 7%
Polynomial and algebraic computation
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