Visualising the Hamiltonian constraint in inhomogeneous LQC

In summary, the paper "Stepping out of Homogeneity in Loop quantum Cosmology" discusses the calculation of curvature on a triangulated 3d-manifold using the parallel transport of the Ashtekar connection around an edge. This is done by puncturing faces along the edge and summing up the information about the curvature stored in the faces. This process is repeated for each edge to obtain the full Hamiltonian constraint. Further details can be found in the paper "Ashtekar-Barbero Holonomy on a Stratified Space" by Francesca Vidotto.
  • #1
julian
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In this paper called "Stepping out of Homogeneity in Loop quantum Cosmology" - http://arxiv.org/pdf/0805.4585.pdf. On page 4 they say "where the sum is over the couples of distinct faces at each tetrahedron, [itex]U_{ff'} = U_f U_{f_1} U_{f_2} \dots U^{-1}_{f'}[/itex] where [itex]l_{ff'} = \{ f , f_1; f_2; \dots f^{\prime -1} \}[/itex] is the link of the oriented faces around the edge where [itex]f[/itex] and [itex]f'[/itex] join,".

Could someone clarify this for me? Possibly with diagrams?
 
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  • #2
Suppose you have a triangulated 3d-manifold and you want the curvature on this manifold. The triangulation is made by several tetrahedra: pick one of them, consider it on its own, and consider one of its bone (an edge). The curvature is obtained by performing the parallel transport (a Wilson loop) of the Ashtekar connection around the edge. So, if you start from the center of a tetrahedron, first you go from there to a face, you puncture it, and you come back to the starting point from another face by puncturing it. If you have a complicated triangulation, there would be some other tetrahedra attached to the same edge, sharing each one a face with the adjacent one: in this case, in order to come back, you would puncture more faces.
All the information about the curvature is stored in the faces. In principle, you can go from the center of the tetrahedron to the face, grasp the information about the curvature, and come back without puncturing the face: here we don't want to do this, so we take couple of distinct faces.
To get the full Hamiltonian constraint, you have to repeat this for each edge and sum everything.

I hope this could answer to your question. This construction follows the very first Hamiltonian constraint proposed by Rovelli/Smolin in the good old days.
If you need more details, maybe you can try this paper
http://arxiv.org/abs/1110.3020
that explain the same model with an up-to-date prospective and some developments.
Cheers,
Frances
 

Related to Visualising the Hamiltonian constraint in inhomogeneous LQC

1. What is the Hamiltonian constraint in inhomogeneous LQC?

The Hamiltonian constraint in inhomogeneous Loop Quantum Cosmology (LQC) is a mathematical equation that describes the dynamics of the universe in terms of its energy and momentum. It is derived from the principles of general relativity and quantum mechanics, and plays a crucial role in understanding the behavior of the universe at a microscopic level.

2. Why is it important to visualize the Hamiltonian constraint in inhomogeneous LQC?

Visualizing the Hamiltonian constraint in inhomogeneous LQC helps to better understand the underlying principles and dynamics of the universe at a fundamental level. It also allows for the development of new theories and models that can potentially explain some of the mysteries of our universe, such as dark energy and the origin of the Big Bang.

3. What are some techniques used to visualize the Hamiltonian constraint in inhomogeneous LQC?

Some techniques used to visualize the Hamiltonian constraint in inhomogeneous LQC include mathematical models, computer simulations, and graphical representations such as charts, diagrams, and animations. These techniques help to visualize the complex mathematical equations and concepts in a more intuitive and accessible way.

4. How does visualizing the Hamiltonian constraint in inhomogeneous LQC aid in research and discovery?

Visualizing the Hamiltonian constraint in inhomogeneous LQC can aid in research and discovery by providing new insights and perspectives on the behavior of the universe. It can also help to identify potential gaps or flaws in existing theories, leading to the development of new and more accurate models of the universe.

5. Are there any challenges in visualizing the Hamiltonian constraint in inhomogeneous LQC?

Yes, there are several challenges in visualizing the Hamiltonian constraint in inhomogeneous LQC. This includes the complex and abstract nature of the mathematical equations involved, as well as the limitations of current technology in accurately simulating and representing the dynamics of the universe at such a small scale. Additionally, there may be discrepancies and contradictions between different visualizations, which can make it challenging to determine the most accurate representation of the Hamiltonian constraint.

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