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Preprint . 2025
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Preprint . 2025
License: CC BY NC
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BSD-TTPP Entropy Predictions for LIGO's O4 Observing Run: A Testable Framework for Gravitational Wave Entropy Deviations

Authors: Mercer, Jason David John;

BSD-TTPP Entropy Predictions for LIGO's O4 Observing Run: A Testable Framework for Gravitational Wave Entropy Deviations

Abstract

The Transcendent Periodicity Principle (TTPP), an extension of BSD periodicity, predicts entropy-induced deviations in gravitational wave events. These deviations arise from hidden periodic structures within mass-energy-time harmonics and should be detectable in upcoming LIGO-Virgo-KAGRA (LVK) O4 observations. In this paper, we present testable predictions regarding spectral entropy oscillations and quasi-normal mode (QNM) frequency shifts for different types of mergers: ✔ High-Mass Black Hole Mergers BSD-TTPP predicts entropy-driven deviations in QNM frequencies and a non-monotonic spectral entropy drop post-merger. ✔ Neutron Star Mergers Late-time spectral oscillations should emerge, deviating from current equation-of-state models. ✔ Intermediate-Mass Black Hole Mergers – BSD-TTPP predicts non-linear decay rates for post-merger entropy evolution. These predictions are falsifiable and can be tested against LIGO ongoing O4 observing run (2023-2025).

Keywords

Gravitational Waves, Quantum Gravity, General Relativity, Black Holes, Entropy Oscillations, Bayesian Model Selection, LIGO-Virgo-KAGRA O4 Predictions

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
Green