Double Scaling in Tensor Models with a Quartic Interaction
Stephane Dartois, Razvan Gurau, Vincent Rivasseau
TL;DR
This paper analyzes the $1/N$ expansion of random tensor models with quartic interactions and identifies the subleading cherry-tree graphs that dominate the double scaling limit for dimensions $D<6$. Using the Loop Vertex Expansion and constructive QFT tools, the authors reorganize the perturbative series via pruning and reduction to reduced graphs, isolating cherry trees as the leading non-melonic contributions and deriving their explicit amplitudes. They prove precise bounds showing non-cherry graphs are subleading by at least $N^{-1/2}$, and compute the cherry-tree contributions to obtain a closed double scaling limit with a square-root singularity around a critical point $x_c$, mirroring the melonic behavior but with new multi-scaling possibilities. The results indicate a stable double scaling in tensor models up to $D<6$, with the upper critical dimension at $D=6$, and pave the way for further multi-scaling analyses and potential new phases in higher-dimensional random geometries.
Abstract
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.
