Orthogonal bases of invariants in tensor models
Abstract Representation theory provides an efficient framework to count and classify invariants in tensor models of (gauge) symmetry G d = U(N 1) ⊗ · · · ⊗ U(N d ) . We show that there are two natural ways of counting invariants, one for arbitrary G d and another valid for large rank of G d . We con...
Main Authors: | Pablo Diaz, Soo-Jong Rey |
---|---|
Format: | Article |
Language: | English |
Published: |
SpringerOpen
2018-02-01
|
Series: | Journal of High Energy Physics |
Subjects: | |
Online Access: | http://link.springer.com/article/10.1007/JHEP02(2018)089 |
Similar Items
-
Tensor and matrix models: a one-night stand or a lifetime romance?
by: Pablo Diaz
Published: (2018-06-01) -
Surface growth scheme for bulk reconstruction and tensor network
by: Yi-Yu Lin, et al.
Published: (2020-12-01) -
BMS symmetry of celestial OPE
by: Shamik Banerjee, et al.
Published: (2020-04-01) -
Living on the edge: a toy model for holographic reconstruction of algebras with centers
by: William Donnelly, et al.
Published: (2017-04-01) -
Holographic coherent states from random tensor networks
by: Xiao-Liang Qi, et al.
Published: (2017-08-01)