Taylor-Fourier approximation
M.P. Calvo, J. Makazaga, A. Murua

TL;DR
This paper introduces a Fourier-Taylor approximation method for semi-linear oscillatory differential equations, providing uniformly accurate solutions and enabling high-order averaging, with applications demonstrated in physics and orbital dynamics.
Contribution
The paper develops an efficient Fourier-Taylor algorithm combining FFT and truncated series for accurate high-frequency oscillatory system approximations.
Findings
The method achieves uniform accuracy as frequency increases.
Numerical experiments validate effectiveness in nonlinear Schrödinger and orbital problems.
Enables computation of high-order averaging equations for oscillatory systems.
Abstract
In this paper, we introduce an algorithm that provides approximate solutions to semi-linear ordinary differential equations with highly oscillatory solutions, which, after an appropriate change of variables, can be rewritten as non-autonomous systems with a -periodic dependence on . The proposed approximate solutions are given in closed form as functions , where is (i) a truncated Fourier series in for fixed and (ii) a truncated Taylor series in for fixed , which motivates the name of the method. These approximations are uniformly accurate in , meaning that their accuracy does not degrade as . In addition, Taylor-Fourier approximations enable the computation of high-order averaging equations for the original semi-linear system, as well as related maps that are particularly useful in the…
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Taxonomy
TopicsNumerical methods for differential equations · Model Reduction and Neural Networks · Tensor decomposition and applications
