• English
  • Deutsch
  • Log In
    Password Login
    Research Outputs
    Fundings & Projects
    Researchers
    Institutes
    Statistics
Repository logo
Fraunhofer-Gesellschaft
  1. Home
  2. Fraunhofer-Gesellschaft
  3. Konferenzschrift
  4. Mathematical modeling and visualization of topologically non-trivial solutions in general relativity
 
  • Details
  • Full
Options
2021
Conference Paper
Title

Mathematical modeling and visualization of topologically non-trivial solutions in general relativity

Abstract
In general relativity, there is a class of solutions that currently do not have observed analogues, but on which the theory is shaped, giving an understanding what is fundamentally possible within its framework. Such solutions include wormholes, tunnels that connect distant regions in spacetime. Although not a single wormhole has yet been discovered, there is a large number of works devoted to their study, thanks to which wormholes as a class of solutions become firmly established in modern science. In this paper, we consider two topologically nontrivial types of solutions related to wormholes. First: wormholes that can open and close. In this relation, we will discuss topological censorship theorems, which under certain conditions prohibit changing topology. We will also discuss known ways to circumvent these theorems. Using analytical and numerical methods, as well as visualization, we will construct an example of an opening and closing wormhole with the dimensions of the central black hole in the Milky Way galaxy. Our construction continues the work by Kardashev, Novikov and Shatskiy, in which a static wormhole with the same parameters was considered. The second type is a modification of Visser's dihedral wormhole solution for a dynamic case.
Author(s)
Nikitin, I.
Mainwork
9th International Conference on Mathematical Modeling in Physical Sciences, IC-MSQUARE 2020  
Conference
International Conference on Mathematical Modeling in Physical Sciences (IC-MSQUARE) 2020  
Open Access
DOI
10.1088/1742-6596/1730/1/012074
Language
English
Fraunhofer-Institut für Algorithmen und Wissenschaftliches Rechnen SCAI  
  • Cookie settings
  • Imprint
  • Privacy policy
  • Api
  • Contact
© 2024
OSZAR »