Multivariate Difference-Differential Dimension Polynomials
Alexander Levin

TL;DR
This paper extends algebraic methods to compute multivariate difference-differential dimension polynomials, providing a theoretical framework and computational techniques for analyzing finitely generated difference-differential field extensions.
Contribution
It generalizes the Ritt-Kolchin characteristic set method and Gr"obner basis techniques to multivariate difference-differential polynomials, offering new tools for their computation and interpretation.
Findings
Established existence of multivariate difference-differential dimension polynomials.
Developed algorithms for their computation.
Provided an interpretation related to PDE system strength.
Abstract
In this paper we generalize the Ritt-Kolchin method of characteristic sets and the classical Gr\"obner basis technique to prove the existence and obtain methods of computation of multivariate difference-differential dimension polynomials associated with a finitely generated difference-differential field extension. We also give an interpretation of such polynomials in the spirit of the A. Einstein's concept of strength of a system of PDEs and determine their invariants, that is, characteristics of a finitely generated difference-differential field extension carried by every its dimension polynomial.
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.
