TL;DR
This paper reviews the historical development and computational methods for Mathieu functions, highlighting current software gaps and presenting new techniques for handling double eigenvalues and generalized eigenfunctions.
Contribution
It provides a comprehensive historical overview and introduces novel computational methods for Mathieu functions, especially for double eigenvalues, filling gaps in existing software capabilities.
Findings
Identification of gaps in current Mathieu function software
Development of methods for Puiseux expansions of eigenvalues
Techniques for computing generalized eigenfunctions at double eigenvalues
Abstract
Mathieu functions of period or , also called elliptic cylinder functions, were introduced in 1868 by \'Emile Mathieu together with so-called modified Mathieu functions, in order to help understand the vibrations of an elastic membrane set in a fixed elliptical hoop. These functions still occur frequently in applications today: our interest, for instance, was stimulated by a problem of pulsatile blood flow in a blood vessel compressed into an elliptical cross-section. This paper surveys and recapitulates the historical development of the theory and methods of computation for Mathieu functions and modified Mathieu functions and identifies some gaps in current software capability, particularly to do with double eigenvalues of the Mathieu equation. We demonstrate how to compute Puiseux expansions of the Mathieu eigenvalues about such double eigenvalues, and give methods to…
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.
Code & Models
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
