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The I-Love universal relation for polytropic stars under Newtonian gravity (2501.07184v1)

Published 13 Jan 2025 in gr-qc, astro-ph.EP, and astro-ph.SR

Abstract: The moment of inertia and tidal deformability of idealized stars with polytropic equations of state (EOSs) are numerically calculated under both Newtonian gravity and general relativity (GR). The results explicitly confirm that the relation between the moment of inertia and tidal deformability, parameterized by the star's mass, exhibits variations of 1% to 10% for different polytropic indices in Newtonian gravity and GR, respectively. This indicates a more robust I-Love universal relation in the Newtonian framework. The theoretically derived I-Love universal relation for polytropic stars is subsequently tested against observational data for the moment of inertia and tidal deformability of the 8 planets and some moons in our solar system. The analysis reveals that the theoretical I-Love universal relation aligns well with the observational data, suggesting that it can serve as an empirical relation. Consequently, it enables the estimation of either the moment of inertia or the tidal deformability of an exoplanet if one of these quantities, along with the mass of the exoplanet, is known.

Summary

  • The paper demonstrates that the I-Love relation robustly links moment of inertia and tidal deformability, with a variation of about 1% in Newtonian gravity.
  • Numerical simulations on polytropic models reveal discrepancies up to 10% when comparing Newtonian and relativistic frameworks.
  • Observational tests on solar system bodies confirm the theoretical I-Love relation, enhancing predictive models in astrophysics.

I-Love Universal Relation for Polytropic Stars in Newtonian Gravity

The paper presented in this paper explores the I-Love universal relations applied to idealized polytropic stars within the frameworks of both Newtonian gravity and General Relativity (GR). The central focus lies in the numerical assessment of the moment of inertia and tidal deformability, important astrophysical properties for characterizing the structure of stellar bodies. The I-Love universal relation, originally identified for neutron stars with diverse equations of state (EOS), reveals a robust relationship between these two parameters, indicating a degree of EOS-independence.

Polytropic Models and Numerical Approach

Polytropic stars, governed by a specific polytropic EOS, are examined through rigorous numerical simulations. These configurations allow a comprehensive investigation of the I-Love relation, providing a parallel between the simpler Newtonian framework and the more complex GR scenarios.

The numerical results indicate that the variation in the I-Love relation for stars with different polytropic indices ranges from 1% in Newtonian gravity to 10% in GR. This demonstrates a superior robustness of the I-Love relation within a Newtonian framework, which simplifies some of the complicating factors inherent in relativistic calculations.

Observational Testing of the I-Love Relation

The paper extends its theoretical findings by assessing observational data from our solar system's planets and select moons. Large bodies like these, despite their complex internal compositions and layering, still exhibit behavior consistent with the I-Love universal relation derived from theoretical models. This empirical alignment provides a strong foundation for using the I-Love relation as a tool for estimating one parameter when the other is known, given the mass of an exoplanet.

Implications and Future Directions

The implications of this research extend beyond theoretical development, offering practical methodologies for astrophysical investigations. The capacity to estimate a star's moment of inertia or tidal deformability has significant implications for studying celestial body characteristics and dynamics.

Furthermore, the research provides a springboard for future developments in artificial intelligence and data analytics, specifically in enhancing the predictive accuracy of models used in astrophysics. By employing machine learning algorithms on large sets of observational data, patterns and predictions grounded on theoretical principles such as the I-Love relation may be further refined.

In summary, the paper delineates a nuanced exploration of how fundamental astrophysical properties relate across different gravitational theories and how these insights translate into observational practices. The results not only bolster our theoretical understanding but also provide practical approaches for ongoing and future explorations of celestial phenomena.

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