Spectra of evolution operators of a class of neutral renewal equations: theoretical and numerical aspects
Dimitri Breda, Davide Liessi, Sjoerd M. Verduyn Lunel
TL;DR
This work analyzes the spectra of evolution operators for a class of neutral renewal equations (NREs) with a focus on stability of equilibria and periodic solutions. It develops a theoretical characterization of the monodromy operator spectrum for a scalar linear NRE with one discrete delay and periodic coefficients, showing $\sigma( U_{\mathbb{C}} ) = \overline{f(\mathbb{R})}$ and detailing the point, residual, and empty continuous spectrum components; a non-compactness result is also established. A pseudospectral collocation discretization is described to approximate the evolution operator spectrum, and experiments across constant, piecewise, and periodic delay profiles corroborate the theory by illustrating convergence toward the spectral set $\overline{f(\mathbb{R})}$ (and include $0$ from discretization). The paper further explores linear systems with one delay and scalar two-delay cases, providing explicit eigenvalue formulas and confirming convergence behavior in numerical tests. Overall, the work lays theoretical and numerical groundwork for stability analysis of NREs and motivates future convergence proofs and extensions to multi-delay and system settings.
Abstract
In this work we begin a theoretical and numerical investigation on the spectra of evolution operators of neutral renewal equations, with the stability of equilibria and periodic orbits in mind. We start from the simplest form of linear periodic equation with one discrete delay and fully characterize the spectrum of its monodromy operator. We perform numerical experiments discretizing the evolution operators via pseudospectral collocation, confirming the theoretical results and giving perspectives on the generalization to systems and to multiple delays. Although we do not attempt to perform a rigorous numerical analysis of the method, we give some considerations on a possible approach to the problem.
