Holonomy spinfoams: convergence of the partition function

In summary, this conversation discusses a paper by Hellmann and Kaminski that provides a historical account of progress in spin foams over the past few years. The authors discover a problem and propose a solution, while also mentioning similar results achieved by Muxin Han. The paper studies the asymptotic geometry of spin foam models and introduces the concept of wave front sets. A shorter version of the paper will be available soon for those interested in the results without detailed proofs.
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marcus
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This looks like a significant step forward. The paper is clearly written and gives a brief historical account of progress in spin foams over the past half-dozen years or so: an understandable review that places its results in context.
The authors, Hellmann and Kaminski, discover a problem with the approach they are using and propose a work-around.
I think a briefer version giving results without detailed proofs is either available or will soon be available. Similar results were also achieved by Muxin Han (Marseille CPT) and are cited here.

http://arxiv.org/abs/1307.1679
Holonomy spin foam models: Asymptotic geometry of the partition function
Frank Hellmann, Wojciech Kaminski
(Submitted on 5 Jul 2013)
We study the asymptotic geometry of the spin foam partition function for a large class of models, including the models of Barrett and Crane, Engle, Pereira, Rovelli and Livine, and, Freidel and Krasnov.
The asymptotics is taken with respect to the boundary spins only, no assumption of large spins is made in the interior. We give a sufficient criterion for the existence of the partition function. We find that geometric boundary data is suppressed unless its interior continuation satisfies certain accidental curvature constraints. This means in particular that most Regge manifolds are suppressed in the asymptotic regime. We discuss this explicitly for the case of the configurations arising in the 3-3 Pachner move. We identify the origin of these accidental curvature constraints as an incorrect twisting of the face amplitude upon introduction of the Immirzi parameter and propose a way to resolve this problem, albeit at the price of losing the connection to the SU(2) boundary Hilbert space.
The key methodological innovation that enables these results is the introduction of the notion of wave front sets, and the adaptation of tools for their study from micro local analysis to the case of spin foam partition functions.
63 pages, 5 figures
 
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This is a very interesting paper that has provided a great deal of insight into the asymptotic geometry of spin foam models. It is great to see that Hellmann and Kaminski have discovered an issue with the approach they are using and proposed a work-around. It is also good to know that similar results were achieved by Muxin Han (Marseille CPT) and are cited here. I am looking forward to the briefer version of this paper that should be available soon, so that I can get an understanding of the results without going into the detailed proofs.
 

1. What is holonomy in the context of spinfoams?

Holonomy refers to the parallel transport of a vector or a spinor along a closed path in a curved space-time. In spinfoam models, it is used to describe the evolution of a quantum state from one discrete space-time boundary to another.

2. Why is the convergence of the partition function important in holonomy spinfoam models?

The partition function is a key quantity in quantum field theories and is used to calculate physical observables. In the context of holonomy spinfoam models, the convergence of the partition function is important as it ensures the consistency and reliability of the model's predictions.

3. How is the convergence of the partition function achieved in holonomy spinfoam models?

The convergence of the partition function in holonomy spinfoam models is achieved through the use of appropriate regularization techniques, such as the introduction of a cut-off in the summation over spin network states or the use of a modified spin foam amplitude.

4. What is the significance of the convergence of the partition function in terms of the physical interpretation of holonomy spinfoams?

The convergence of the partition function is crucial for the physical interpretation of holonomy spinfoam models as it ensures that the model's predictions are well-defined and physically meaningful. Without convergence, the model would not be able to make reliable predictions about the behavior of quantum states in curved space-time.

5. Are there any open questions or challenges in the study of holonomy spinfoams and the convergence of the partition function?

Yes, there are still many open questions and challenges in this field of research. Some of the main ones include understanding the role of boundary conditions and the physical interpretation of the regularization techniques used to achieve convergence. Additionally, there is ongoing research on the effects of quantum corrections and the inclusion of matter fields in holonomy spinfoam models.

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