Modelling of a Binary System with a Quadratic Equation of State

This study investigates Einstein-Maxwell field equations with anisotropic pressure by means of a quadratic equation of state (Bose-Einstein equation of state) in the presence of an electric field and a modified version of the metric potential proposed for Korkina and Orlyanskii (1991). We obtain new classes of models that satisfy all the physical conditions for a realistic star. According to visual analysis, physical properties including energy density, radial pressure, charge density, and anisotropy are consistent with the stellar binary system GW191219, which is composed of a neutron star and a black hole.

Authors

Publication Details

Journal
Journal of Physics & Optics Sciences
Published
2025-04-23
DOI
https://doi.org/10.47363/jpsos/2025(7)307
Primary Topic
Material Science and Thermodynamics
Type
article
Field-Weighted Citation Impact
0.00
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article

Modelling of a Binary System with a Quadratic Equation of State

Manuel Malaver
Journal of Physics & Optics Sciences
Material Science and Thermodynamics
article

Modelling of a Binary System with a Quadratic Equation of State

Manuel Malaver
article en

Abstract

This study investigates Einstein-Maxwell field equations with anisotropic pressure by means of a quadratic equation of state (Bose-Einstein equation of state) in the presence of an electric field and a modified version of the metric potential proposed for Korkina and Orlyanskii (1991). We obtain new classes of models that satisfy all the physical conditions for a realistic star. According to visual analysis, physical properties including energy density, radial pressure, charge density, and anisotropy are consistent with the stellar binary system GW191219, which is composed of a neutron star and a black hole.

Journal of Physics & Optics Sciences
Openalex Percentile: Top 92%
Material Science and Thermodynamics
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Modelling of a Binary System with a Quadratic Equation of State — Manuel Malaver · Journal of Physics & Optics Sciences (2025) | TGRS Research Map | TGRS