How Does Discretizing a Smooth Manifold Affect Its Geometric Properties?

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SUMMARY

This discussion focuses on the implications of discretizing smooth manifolds in the context of differential geometry and general relativity. Participants explore how breaking down a smooth manifold into triangles affects geometric properties, particularly the Ricci and Riemann tensors. The conversation highlights the challenges in recovering metric tensors and other geometric identities after discretization, emphasizing the need for a robust understanding of the Einstein Hamiltonian and the Gauss-Bonnet theorem. Key insights include the relationship between discrete polygons and the management of infinite degrees of freedom in general relativity.

PREREQUISITES
  • Understanding of smooth manifolds and their properties
  • Familiarity with differential geometry concepts, including the Ricci and Riemann tensors
  • Knowledge of the Einstein Hamiltonian in general relativity
  • Basic grasp of the Gauss-Bonnet theorem and its applications
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  • Research the process of discretizing smooth manifolds and its effects on geometric properties
  • Study the derivation and implications of the Gauss-Bonnet theorem in discrete settings
  • Explore methods for recovering metric tensors from discretized geometric structures
  • Investigate the role of the Ricci tensor as a smoothing operator in differential geometry
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Mathematicians, physicists, and researchers in the fields of differential geometry and general relativity, particularly those interested in the discretization of geometric structures and its implications for theoretical physics.

lokofer
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"Discrete" Geommetry...

-What can you do if you have a "Smooth" Manifold..but it's very hard to work with?..perhaps you could "discretize" :rolleyes: :rolleyes: the surface splitting it into "triangles" and take the basic coordinates to be the angles (3) of every triangle..but my question is What would happen with the Metric the "ricci Tensor" (Riemann Tensor contracted ?) and other Differential Geommetry identities?.. How could you recover them or calculate them approximately?..thanks.

- for example an idea applied to Gr you have the Einstein Hamiltonian..if you discretize it using the angles of every "triangle" you would have:

L= \sqrt (-g) R \rightarrow L( \theta_i (t), \dot \theta_i (t),t) for i=1,2,3,4,5,6,7,8,9,... From this Lagrangian i could obtain the Hamiltonian and hence the "Energy levels"...but I'm missing R_{ab} and metric Tensor...How could i achieve the problem.
 
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lokofer said:
-What can you do if you have a "Smooth" Manifold..but it's very hard to work with?..perhaps you could "discretize" :rolleyes: :rolleyes: the surface splitting it into "triangles" and take the basic coordinates to be the angles (3) of every triangle.

My understanding of smooth manifolds is that you could express them precisely with overlapping triangles, the triangles being open subsets of the plane. From my expierience with approximating smooth manifolds with discrete polygons, I can tell you that repeated application of any differential operator will make the solution more singular, or jagged. I was under the impression however, that the Ricci tensor is a smoothing operation, so perhaps it's an integral operator.
 
- The Main problem here is "Obsessive... " that GR can't be managed in such an easy way if you don't use "discrete Polygons" (simplices ?) because then it would be a system with Infinite degrees of freedom..using discrete Polygons and its angles so "Gauss-Bonet" theorem applies \pi - \sum _j \theta _j (t) = K(t)dA where dA= Area of triangle, K is the "Curvature" of the surface (Associated to Riemann Tensor perhaps? ) and t is the time..in that case you can apply usual Quantization process so H( \theta _i (t) ,P_{\theta _i })\Psi ( \theta _i )=E_{n} \Psi(\theta _i ) but i would like to know if given each "angle" depending on time you can recover the usual "Geommetry" elements and Tensor.
 

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