On Algorithmic Estimation of Analytic Complexity for Polynomial Solutions to Hypergeometric Systems
Vitaly A. Krasikov

TL;DR
This paper investigates the analytic complexity of polynomial solutions to bivariate hypergeometric systems, providing estimates and algorithms for complexity measurement based on zonotopes.
Contribution
It introduces new estimates and algorithms for assessing the analytic complexity of polynomial solutions to hypergeometric systems of Horn type.
Findings
Derived bounds on the analytic complexity of solutions.
Proposed algorithms for complexity estimation.
Applicable to systems defined by zonotopes.
Abstract
The paper deals with the analytic complexity of solutions to bivariate holonomic hypergeometric systems of the Horn type. We obtain estimates on the analytic complexity of Puiseux polynomial solutions to the hypergeometric systems defined by zonotopes. We also propose algorithms of the analytic complexity estimation for polynomials.
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
TopicsNonlinear Waves and Solitons · Polynomial and algebraic computation · Advanced Differential Equations and Dynamical Systems
