A review of the large N limit of tensor models

Understand

Random matrix models encode a theory of random two dimensional surfaces with applications to string theory, conformal field theory, statistical physics in random geometry and quantum gravity in two dimensions.

• The key to their success lies in the 1/N expansion introduced by 't Hooft.
• Random tensor models generalize random matrices to theories of random higher dimensional spaces.
• For a long time, no viable 1/N expansion for tensors was known and their success was limited.