Algorithms for estimating spectral density functions for periodic potentials on the half line
Charles Fulton, David Pearson, and Steven Pruess

TL;DR
This paper introduces new theoretical characterizations and a numerical algorithm for estimating spectral density functions of periodic potentials on the half line, with applications to equations like Mathieu's.
Contribution
It provides novel characterizations of spectral functions for Hill's equation and develops a numerical method based on coefficient approximation.
Findings
New characterizations of spectral functions for Hill's equation
Numerical algorithm successfully applied to examples including Mathieu's equation
Demonstrates effectiveness of the method through computational results
Abstract
For Hill's equation on [0,infinity) we prove new characterizations of the spectral function rho(lambda) and the spectral density function f(lambda) based on analysis involving a companion system of first order differential equations in [6,7]. A numerical algorithm is derived and implemented based on coefficient approximation. Results for several examples, including the Mathieu equation, are presented.
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Taxonomy
TopicsNumerical methods for differential equations · Quantum chaos and dynamical systems · Nonlinear Dynamics and Pattern Formation
