Exploring Holographic Hierarchy in the Gaussian Matrix Model

In summary, the paper "Holographic Hierarchy in the Gaussian Matrix Model via the Fuzzy Sphere" by David Garner and Sanjaye Ramgoolam explores the holographic hierarchy connecting different dimensions through the use of the Gaussian matrix model and the large N expansion. The authors use trivalent ribbon graphs and su(2) representations to express the matrix model correlators, which allows for the evaluation of 3j and 6j symbols. This paper adds to the ongoing LQG/string crossover competition and offers a unique approach to understanding the relationship between 2D strings and 3D membranes.
  • #1
mitchell porter
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This paper seems to be another entry in the LQG/string crossover competition:

http://arxiv.org/abs/1303.3246
Holographic Hierarchy in the Gaussian Matrix Model via the Fuzzy Sphere
Authors: David Garner, Sanjaye Ramgoolam
(Submitted on 13 Mar 2013)
The Gaussian Hermitian matrix model was recently proposed to have a dual string description with worldsheets mapping to a sphere target space. The correlators were written as sums over holomorphic (Belyi) maps from worldsheets to the two-dimensional sphere, branched over three points. We express the matrix model correlators by using the fuzzy sphere construction of matrix algebras, which can be interpreted as a string field theory description of the Belyi strings. This gives the correlators in terms of trivalent ribbon graphs that represent the couplings of irreducible representations of su(2), which can be evaluated in terms of 3j and 6j symbols. The Gaussian model perturbed by a cubic potential is then recognised as a generating function for Ponzano-Regge partition functions for 3-manifolds having the worldsheet as boundary, and equipped with boundary data determined by the ribbon graphs. This can be viewed as a holographic extension of the Belyi string worldsheets to membrane worldvolumes, forming part of a holographic hierarchy linking, via the large N expansion, the zero-dimensional QFT of the Matrix model to 2D strings and 3D membranes.

It has a bit of everything - permutations, 6j symbols, Ponzano-Regge, Turaev-Viro, ribbon graphs.
 
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  • #2


I find this paper to be a fascinating addition to the ongoing LQG/string crossover competition. The authors have used the Gaussian matrix model to explore the holographic hierarchy, linking different dimensions through the large N expansion. This is an interesting approach and could potentially lead to a better understanding of the relationship between 2D strings and 3D membranes. The use of trivalent ribbon graphs and su(2) representations adds a nice twist to the traditional methods used in this field. Overall, I believe this paper contributes to the growing body of knowledge in this area and I look forward to seeing further developments in the future.
 

1. What is the Gaussian Matrix Model?

The Gaussian Matrix Model is a theoretical framework used in physics to study the behavior of quantum systems. It describes the interactions between particles in a system using matrices, which are mathematical structures that represent linear transformations.

2. How does the Gaussian Matrix Model relate to holographic hierarchy?

The Gaussian Matrix Model is used to explore the concept of holographic hierarchy, which is a theory that suggests our three-dimensional universe is a projection of information stored on a two-dimensional surface. By studying the interactions between particles in the Gaussian Matrix Model, scientists hope to gain a better understanding of how holographic hierarchy may work in our universe.

3. What are the practical applications of studying the Gaussian Matrix Model?

Studying the Gaussian Matrix Model has potential applications in various fields such as condensed matter physics, cosmology, and string theory. It can help researchers better understand the fundamental laws of nature and potentially lead to technological advancements in areas such as quantum computing.

4. How is the Gaussian Matrix Model being explored by scientists?

Scientists are using various techniques, including numerical simulations and analytical calculations, to study the Gaussian Matrix Model. They are also using experimental data from particle accelerators to test the predictions of the model and refine its parameters.

5. What are the current challenges in exploring holographic hierarchy using the Gaussian Matrix Model?

One of the main challenges in exploring holographic hierarchy using the Gaussian Matrix Model is the complexity of the calculations involved. The model contains many parameters, and solving its equations can be computationally demanding. Another challenge is validating the results of the model with experimental data, as it may be difficult to find direct evidence for holographic hierarchy in our physical world.

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