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On the physical significance of black hole quasinormal mode spectra instability
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It has been shown, via specific examples and a pseudospectrum analysis, that the black hole quasinormal spectra are unstable. The implication of such a result for gravitational-wave physics and of our understanding of black holes is, still, unclear. The purpose of this work is twofold: (i) we show that some of the setups leading to instabilities are unphysical and triggered by exotic matter or extreme spacetimes; (ii) nevertheless, we also show simple examples of compelling physical scenarios leading to spectral instabilities. Our results highlight the importance of understanding the overtone content of time-domain waveforms, and their detectability.
Forward citations
Cited by 5 Pith papers
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Numerical study on the robustness of the stability for stable black holes
Infinitesimal negative or stochastic near-horizon deformations of the Regge-Wheeler potential can destabilize an otherwise stable Schwarzschild black hole in a toy scalar-field model.
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Wave chaos in BPS microstate geometries strengthens toward black-hole-like throats while geodesic chaos weakens, and weak-coupling CFT Renyi entropies do not share that bulk hierarchy.
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Spectral instability of parametrized black hole quasinormal modes in the high-overtone limit via the exact WKB analysis
Constant 1/r⁴-or-higher parametrized corrections to the Regge–Wheeler potential drive the real part of high-overtone QNM frequencies to diverge (e.g., like N^{1/5}), unlike Schwarzschild.
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Spectrum instability and greybody factor stability for parabolic approximation of Regge-Wheeler potential
Replacing the Regge-Wheeler potential by piecewise parabolas makes quasinormal-mode spectra unstable, with long-lived overtones, while greybody factors stay close to the exact Schwarzschild result.
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Bound States of the Schwarzschild Black Hole
The bound states of the inverted Regge-Wheeler potential are exponentially condensed near zero energy and strongly delocalized, linking black hole overtone instability to long-range potential features.
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