Solving Equations Using Khovanskii Bases
Barbara Betti, Marta Panizzut, Simon Telen

TL;DR
This paper introduces a novel eigenvalue-based approach for solving structured polynomial equations on algebraic varieties using Khovanskii bases, extending existing methods for toric varieties and enhancing computer algebra techniques.
Contribution
It develops a new eigenvalue method leveraging Khovanskii bases for solving polynomial equations on varieties, generalizing algorithms for toric varieties and advancing computational algebra.
Findings
Effective eigenvalue method for polynomial equations on varieties
Extension of toric variety algorithms to broader classes
Applications in algebraic geometry and computer algebra
Abstract
We develop a new eigenvalue method for solving structured polynomial equations over any field. The equations are defined on a projective algebraic variety which admits a rational parameterization by a Khovanskii basis, e.g., a Grassmannian in its Pl\"ucker embedding. This generalizes established algorithms for toric varieties, and introduces the effective use of Khovanskii bases in computer algebra. We investigate regularity questions and discuss several applications.
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
Taxonomy
TopicsPolynomial and algebraic computation · Commutative Algebra and Its Applications · Advanced Numerical Analysis Techniques
