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Classification of higher grade $\ell$ graphs for $\mathrm{U}(N)^{2} \times \mathrm{O}(D)$ multi-matrix models

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The authors studied in [Ann. Inst. Henri Poincaré D 9 (2022), 367–433], a complex multi-matrix model with \mathrm{U}(N)^{2} \times \mathrm{O}(D) symmetry, and whose double scaling limit where simultaneously the large- N and large- D limits were taken while keeping the ratio N/\sqrt{D}=M finite and fixed. In this double scaling limit, the complete recursive characterization of the Feynman graphs of arbitrary genus for the leading order grade \ell=0 was achieved. In this current study, we classify the higher order graphs in \ell . More specifically, \ell=1 and \ell=2 with arbitrary genus, in addition to a specific class of two-particle-irreducible (2PI) graphs for higher \ell \geqslant 3 but with genus zero. Furthermore, we demonstrate that each 2PI graph with a single \mathrm{O}(D) -loop with an arbitrary \ell corresponds to a reduced alternating knot diagram with \ell crossings as listed in the Rolfsen knot table, or a resulting alternating knot diagram obtained after performing the Tait flyping moves. We generalize to 2PR by considering the connected sum and the Reidemeister move I.

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In this paper we identify and analyze in detail the subleading contributions in the 1/N expansion of random tensors, in the simple case of a quartically interacting model. The leading order for this 1/N expansion is made of graphs, called melons, which are dual to particular triangulations of the D-dimensional sphere, closely related to the “stacked” triangulations. For D < 6 the subleading behavior is governed by a larger family of graphs, hereafter called cherry trees, which are also dual to the D-dimensional sphere. They can be resummed explicitly through a double scaling limit. In sharp contrast with random matrix models, this double scaling limit is stable. Apart from its unexpected upper critical dimension 6, it displays a singularity at fixed distance from the origin and is clearly the first step in a richer set of yet to be discovered multi-scaling limits.

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