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1. Verfasser: Kayser, Leonie
Format: Preprint
Veröffentlicht: 2025
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Online-Zugang:https://arxiv.org/abs/2502.05278
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author Kayser, Leonie
author_facet Kayser, Leonie
contents The computational complexity of polynomial ideals and Gröbner bases has been studied since the 1980s. In recent years, the related notions of polynomial subalgebras and SAGBI bases have gained more and more attention in computational algebra, with a view towards effective algorithms. We investigate the computational complexity of the subalgebra membership problem and degree bounds. In particular, we show completeness for the complexity class EXPSPACE and prove PSPACE-completeness for homogeneous algebras. We highlight parallels and differences compared to the settings of ideals, and also look at important classes of polynomials such as monomial algebras.
format Preprint
id arxiv_https___arxiv_org_abs_2502_05278
institution arXiv
publishDate 2025
record_format arxiv
spellingShingle Computational Complexity of Polynomial Subalgebras
Kayser, Leonie
Computational Complexity
Commutative Algebra
Algebraic Geometry
08A30, 13P10, 14Q20
F.3.2; I.1.3
The computational complexity of polynomial ideals and Gröbner bases has been studied since the 1980s. In recent years, the related notions of polynomial subalgebras and SAGBI bases have gained more and more attention in computational algebra, with a view towards effective algorithms. We investigate the computational complexity of the subalgebra membership problem and degree bounds. In particular, we show completeness for the complexity class EXPSPACE and prove PSPACE-completeness for homogeneous algebras. We highlight parallels and differences compared to the settings of ideals, and also look at important classes of polynomials such as monomial algebras.
title Computational Complexity of Polynomial Subalgebras
topic Computational Complexity
Commutative Algebra
Algebraic Geometry
08A30, 13P10, 14Q20
F.3.2; I.1.3
url https://arxiv.org/abs/2502.05278