How Can Numerical Solutions to General Relativity Enhance Computational Physics?

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SUMMARY

The discussion focuses on the application of numerical solutions to General Relativity (GR) within the field of Computational Physics. Participants explore the concept of discretizing spacetime by splitting hyper-surfaces into triangles, which introduces finite degrees of freedom. Key inquiries include the treatment of the metric, Riemann Tensor, and Energy-momentum tensor in this discrete framework, as well as the implications for quantization using a finite version of the Einstein Lagrangian. The term "Regge Calculus" is highlighted as a relevant method for addressing these challenges.

PREREQUISITES
  • Understanding of General Relativity concepts, including the metric and Riemann Tensor.
  • Familiarity with Computational Physics and numerical methods.
  • Knowledge of Regge Calculus and its application in discretizing spacetime.
  • Basic grasp of Lagrangian mechanics and quantization techniques.
NEXT STEPS
  • Research "Regge Calculus" and its role in discretizing General Relativity.
  • Study the process of defining the metric tensor g_{ab} in a triangularized surface.
  • Explore numerical methods for solving Einstein's equations in a finite framework.
  • Investigate techniques for recovering the Riemann Tensor from discrete models.
USEFUL FOR

Researchers and students in theoretical physics, particularly those focused on General Relativity, computational methods in physics, and numerical analysis of spacetime structures.

lokofer
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Hello could someone give some info about the "Numerical solution" to GR...is this a field of "Computational Physics"?..

- What i know is that you take the Hyper-surface, and you " split " it into triangles..and use the ¿angles? of every triangle as finite-coordinates..then you get a problem with finite degrees of freedom...but What happens with the metric, Riemann Tensor Energy-momentum tensor in this discrete space-time?..could you use discrete espace but continuous time so the usual Einstein Lagrangian becomes a finite one in the form:

[tex]L(q_i ,\dot q_i ,t)[/tex] so it's easier to "Quantize" than the continuous one?..

- Main questions: how do you define [tex]g_{ab}[/tex] [tex]R_{ab}[/tex] and other quantities into a finite "triangularized" surface..thanks :rolleyes: :rolleyes:
 
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Look up "Regge Calculus".
 
robphy said:
Look up "Regge Calculus".

I was afraid of this answer... :cry: :cry: i have looked it up in "Wikipedia" and "Arxiv.org" but i don't see or can't understand the explanation...or how you recover the Riemann Tensor in the end...
 

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