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Colored discrete spaces: higher dimensional combinatorial maps and quantum gravity (1710.03663v1)

Published 10 Oct 2017 in math-ph, gr-qc, hep-th, math.CO, and math.MP

Abstract: In any dimension $D$, the Euclidean Einstein-Hilbert action, which describes gravity in the absence of matter, can be discretized over random discrete spaces obtained by gluing families of polytopes together in all possible ways. In the physical limit of small Newton constant, only the spaces which maximize the mean curvature survive. In two dimensions, this results in a theory of random discrete spheres, which converge in the continuum limit towards the Brownian sphere, a random fractal space interpreted as a quantum random space-time. In this limit, the continuous Liouville theory of $D=2$ quantum gravity is recovered. Previous results in higher dimension regarded triangulations - gluings of tetrahedra or $D$-dimensional generalizations, leading to the continuum random tree, or gluings of simple colored building blocks of small sizes, for which multi-trace matrix model results are recovered. This work aims at providing combinatorial tools which would allow a systematic study of richer building blocks and of the spaces they generate in the continuum. We develop a bijection with stacked two-dimensional discrete surfaces, and detail how it can be used to classify discrete spaces according to their mean curvature and topology. A number of blocks are analyzed, including the new infinite family of bi-pyramids, as well as toroidal and $D$-dimensional generalizations. The relation to random tensor models is detailed. A central concern is the lowest bound on the number of ($D-2$)-cells for any given blocks, or equivalently the right scaling for the associated tensor model to have a well-behaved $1/N$ expansion. We also apply our bijection to the identification of the graphs contributing at any order to the $2n$-point functions of the colored SYK model, and to the enumeration of generalized unicellular maps - spaces obtained from a single building block - according to their mean curvature.

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