2023
DOI: 10.1140/epjc/s10052-023-11383-4
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Five dimensional analysis of electromagnetism with heat flow in the post-quasi-static approximation

Abstract: The development of dissipative and electrically charged distributions in five dimensions is presented by using the post-quasistatic approximation. It is an iterative technique for the evolution of self-gravitating spheres of matter. We construct non-adiabatic distributions by means of an equation of state that accounts for the anisotropy based on electric charge. Streaming out and diffusion approximations are used to describe dissipation. In non-comoving coordinates, we match the higher dimensional interior so… Show more

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Cited by 3 publications
(2 citation statements)
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“…Between the two aforementioned approaches, we have seminumerical techniques, which may be regarded as a "compromise" between the analytical and numerical approaches. These techniques are based on the PQSR approximation mentioned above, and were developed in [7][8][9][10] (see also [36,37]). This third approach allows to reduce the initial system of partial differential equations into a system of ordinary differential equations (referred to as surface equations) for quantities evaluated at the boundary surface of the fluid distribution.…”
mentioning
confidence: 99%
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“…Between the two aforementioned approaches, we have seminumerical techniques, which may be regarded as a "compromise" between the analytical and numerical approaches. These techniques are based on the PQSR approximation mentioned above, and were developed in [7][8][9][10] (see also [36,37]). This third approach allows to reduce the initial system of partial differential equations into a system of ordinary differential equations (referred to as surface equations) for quantities evaluated at the boundary surface of the fluid distribution.…”
mentioning
confidence: 99%
“…• Assuming a specific luminosity profile obtained from observations and using (36) or (37), we obtain a relationship between the two arbitrary functions of t mentioned above, thereby reducing (33) to an ordinary differential equation for one variable.…”
mentioning
confidence: 99%