Renormalization procedure for random tensor networks and the canonical tensor model
arXiv:1501.05078 · doi:10.1093/ptep/ptv049
Abstract
We discuss a renormalization procedure for random tensor networks, and show that the corresponding renormalization-group flow is given by the Hamiltonian vector flow of the canonical tensor model, which is a discretized model of quantum gravity. The result is the generalization of the previous one concerning the relation between the Ising model on random networks and the canonical tensor model with N=2. We also prove a general theorem which relates discontinuity of the renormalization-group flow and the phase transitions of random tensor networks.
23 pages, 5 figures; Comments on first order transitions and discontinuity of RG added, and minor corrections
References in corpus (14)
- Critical phenomena in complex networks
- Colored Group Field Theory
- The Tensor Track, III
- The 1/N Expansion of Tensor Models Beyond Perturbation Theory
- Continuum limit in matrix models for quantum gravity from the Functional Renormalization Group
- Beta functions of gauge invariant just renormalizable tensor models
- Canonical tensor models with local time
- Uniqueness of canonical tensor model with local time
- An analysis of the intermediate field theory of tensor model
- Interpreting canonical tensor model in minisuperspace
- Quantum canonical tensor model and an exact wave function
- Physical states in the canonical tensor model from the perspective of random tensor networks
- A canonical rank-three tensor model with a scaling constraint
- Ising model on random networks and the canonical tensor model
Cited by in corpus (7)
- Emergent symmetries in the canonical tensor model
- Equation of motion of canonical tensor model and Hamilton-Jacobi equation of general relativity
- Renormalization group flow of coupled tensorial group field theories: Towards the Ising model on random lattices
- Matter fields in triangle-hinge models
- Emergent classical geometries on boundaries of randomly connected tensor networks
- An extension of Canonical Tensor Model
- Mother canonical tensor model