Approximating evolution operators of linear delay equations: a general framework for the convergence analysis
Alessia and\`o, Giusy Bosco, Dimitri Breda, Davide Liessi

TL;DR
This paper introduces a unified framework for analyzing the convergence of discretization methods used to approximate the spectra of linear delay equations, aiding stability analysis of nonlinear systems.
Contribution
It provides a general convergence analysis based on fixed-point reformulation, unifies existing pseudospectral methods, and applies to weighted residual methods lacking prior formal analysis.
Findings
Unified convergence framework for delay equations
Application to pseudospectral discretization methods
Formal convergence proof for weighted residual methods
Abstract
We consider the problem of discretizing evolution operators of linear delay equations with the aim of approximating their spectra, which is useful in investigating the stability properties of (nonlinear) equations via the principle of linearized stability. We develop a general convergence analysis based on a reformulation of the operators by means of a fixed-point equation, providing a list of hypotheses related to the regularization properties of the equation and the convergence of the chosen approximation techniques on suitable subspaces. This framework unifies the proofs for some methods based on pseudospectral discretization, which we present here in this new form. To exemplify the generality of the framework, we also apply it to a method of weighted residuals found in the literature, which was previously lacking a formal convergence analysis.
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Taxonomy
TopicsMatrix Theory and Algorithms · Model Reduction and Neural Networks · Numerical methods for differential equations
