Spectral parameter power series representation for Hill's discriminant
K.V. Khmelnytskaya, H.C. Rosu

TL;DR
This paper introduces a spectral parameter power series (SPPS) method to represent Hill's discriminant, demonstrating its invariance under Darboux transformations and its numerical utility in calculating eigenspectra, especially for Mathieu-type equations.
Contribution
The paper develops a novel SPPS-based series representation for Hill's discriminant, extending its applicability and invariance properties, with practical numerical implications.
Findings
Series representation of Hill's discriminant established
Invariance under Darboux transformation demonstrated
Feasibility shown for numerical eigenspectrum calculations
Abstract
We establish a series representation of the Hill discriminant based on the spectral parameter power series (SPPS) recently introduced by V. Kravchenko. We also show the invariance of the Hill discriminant under a Darboux transformation and employing the Mathieu case the feasibility of this type of series for numerical calculations of the eigenspectrum
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.
