From random matrices to random tensors
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After a brief presentation of random matrices as a random surface QFT approach to 2D quantum gravity, we focus on two crucial mathematical physics results: the implementation of the large N limit (N being here the size of the matrix) and of the double-scaling mechanism for matrix models. It is worth emphasizing that, in the large N limit, it is the planar surfaces which dominate. In the third section of the chapter we introduce tensor models, seen as a natural generalization, in dimension higher than two, of matrix models. The last section of the chapter presents a potential generalisation of the Bollobás–Riordan polynomial for tensor graphs (which are the Feynman graphs of the perturbative expansion of QFT tensor models).
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1994 ◽
Vol 204
(1-4)
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pp. 290-305
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2019 ◽
Vol 22
(04)
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pp. 1950024
2015 ◽
Vol 2
(1)
◽
pp. 1-47
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2016 ◽
Vol 05
(02)
◽
pp. 1650006
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2013 ◽
Vol 02
(01)
◽
pp. 1250015
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