Abstract
Tau method is detailed mainly for fourth order eigenproblems. For such problems tau differentiation matrices up to fourth order are provided. As some of these problems are self-adjoint a weak (variational) along with a minimization formulation are suggested. The Galerkin method is analyzed with respect to the possibility to choice test and trial functions in order to improve the properties of the differentiation (discretization) matrices, i.e., conditioning, sparsity and symmetry. The non-normality of the differentiation (discretization) matrices is quantified using a scalar measure, i.e., the Henrici’s number and the pseudospectrum. The chapter also contains useful hints about the efficient implementation of both methods. A particular attention is paid to the capabilities of tau method to handle GEPs supplied with parameter dependent boundary conditions. The linear stability of some elastic systems as well as the linear hydrodynamic stability of some parallel shear flows (the so called Marangoni-Plateau-Gibbs effect) are analyzed in this context.
In solving a linear eigenvalue problem by a spectral method using \(N+1\) terms in spectral series, the lowest \(N/2\) eigenvalues are usually accurate to within a few percent while the larger \(N/2\) numerical eigenvalues differ from those of differential equation by such large amounts as to be useless.
Warning 1: the only reliable test is to repeat the calculations with different \(N\) and compare the results.
Warning 2: the number of good eigenvalues may be smaller than \(N/2\) if the modes have boundary layers, critical levels, or other areas of very rapid change, or when the interval is unbounded.
Boyd’s EIGENVALUE RULE-OF-THUMB [4]
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Gheorghiu, CI. (2014). Tau and Galerkin Methods for Fourth Order GEPs. In: Spectral Methods for Non-Standard Eigenvalue Problems. SpringerBriefs in Mathematics. Springer, Cham. https://doi.org/10.1007/978-3-319-06230-3_2
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