The double scaling limit of random tensor models

Understand

Tensor models generalize matrix models and generate colored triangulations of pseudo-manifolds in dimensions $D\geq 3$.

• The free energies of some models have been recently shown to admit a double scaling limit, i.e.
• large tensor size $N$ while tuning to criticality, which turns out to be summable in dimension less than six.
• This double scaling limit is here extended to arbitrary models.