Renormalization procedure for random tensor networks and the canonical tensor model
classification
✦ hep-th
cond-mat.stat-mechgr-qc
keywords
tensormodelnetworksrandomcanonicalflowprocedurerenormalization
read the original 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.
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