Computing Hermitian determinantal representations of hyperbolic curves
Daniel Plaumann, Rainer Sinn, David E. Speyer, and Cynthia Vinzant

TL;DR
This paper introduces a computationally efficient algorithm for finding Hermitian determinantal representations of hyperbolic curves, providing an algebraic certificate for hyperbolicity with practical numerical implementation.
Contribution
It presents a new algorithm that simplifies the computation of determinantal representations, reducing the problem to linear algebra and enhancing numerical feasibility.
Findings
Algorithm effectively computes Hermitian determinantal representations
Reduces computational complexity compared to previous methods
Demonstrates successful numerical implementation
Abstract
Every real hyperbolic form in three variables can be realized as the determinant of a linear net of Hermitian matrices containing a positive definite matrix. Such representations are an algebraic certificate for the hyperbolicity of the polynomial and their existence has been proved in several different ways. However, the resulting algorithms for computing determinantal representations are computationally intensive. In this note, we present an algorithm that reduces a large part of the problem to linear algebra and discuss its numerical implementation.
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 · Advanced Numerical Analysis Techniques · Mathematics and Applications
