2020
DOI: 10.48550/arxiv.2003.06232
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Bernstein spectral method for quasinormal modes and other eigenvalue problems

Abstract: Spectral methods are now common in the solution of ordinary differential eigenvalue problems in a wide variety of fields, such as in the computation of black hole quasinormal modes. Most of these spectral codes are based on standard Chebyshev, Fourier, or some other orthogonal basis functions. In this work we highlight the usefulness of a relatively unknown set of non-orthogonal basis functions, known as Bernstein polynomials, and their advantages for handling boundary conditions in ordinary differential eigen… Show more

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Cited by 4 publications
(10 citation statements)
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“…First, we will discuss the Bernstein spectral method for asymptotically de Sitter spacetimes, when the purely outgoing wave is imposed at the de Sitter horizon. Following [14], we introduce the compact coordinate, which is defined as follows:…”
Section: Bernstein Spectral Methodsmentioning
confidence: 99%
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“…First, we will discuss the Bernstein spectral method for asymptotically de Sitter spacetimes, when the purely outgoing wave is imposed at the de Sitter horizon. Following [14], we introduce the compact coordinate, which is defined as follows:…”
Section: Bernstein Spectral Methodsmentioning
confidence: 99%
“…The method which is efficient for finding purely imaginary, that is, non-oscillatory, quasinormal modes is a spectral method based on the Bernstein polynomial nonorthogonal basis functions [14]. As was shown in [14] while reproducing only several first overtones during a short computing time, it perfectly detects the algebraically special mode of the Schwarzschild black hole with high accuracy, which occurs at n = 8, where n is the overtone number. Another spectral method based on the Chebyshev polynomials was used to obtain a family of the purely imaginary modes of the Schwarzschild-de Sitter black holes [15].…”
Section: Introductionmentioning
confidence: 99%
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“…The code we have used is implemented in a Mathematica package we call SpectralBP. This Bernstein spectral implementation and all its unappreciated advantages are fully described in [28]. It is publicly available and may be found at https://github.com/slashdotfield/SpectralBP.…”
Section: B the Eigenvalue Problemmentioning
confidence: 99%
“…Where the numerical results are concerned, a novel pseudospectral method was used using the Bernstein polynomial basis. The code we used is distributed as a Mathematica package we call SpectralBP [28].…”
Section: Introductionmentioning
confidence: 99%