Reliability of the local truncations for the random tensor models renormalization group flow

TL;DR

This paper investigates the reliability of local truncation schemes in the renormalization group flow of tensor models, emphasizing the importance of Ward identities and derivative couplings for accurate critical exponent predictions.

Contribution

It introduces modified local potential approximations and derivative couplings that respect Ward identities, improving the physical relevance of tensor model RG analyses.

Findings

Strictly local truncations are insufficient for accurate critical exponents.

Incorporating Ward identities improves approximation accuracy.

Multi-trace operators play a significant role in flow equations.

Abstract

The standard nonperturbative approaches of renormalization group for tensor models are generally focused on a purely local potential approximation (i.e. involving only generalized traces and product of them) and are showed to strongly violate the modified Ward identities. This paper as a continuation of our recent contribution [Physical Review D 101, 106015 (2020)], intended to investigate the approximation schemes compatibles with Ward identities and constraints between $2n$-points observables in the large $N$-limit. We consider separately two different approximations: In the first one, we try to construct a local potential approximation from a slight modification of the Litim regulator, so that it remains optimal in the usual sense, and preserves the boundary conditions in deep UV and deep IR limits. In the second one, we introduce derivative couplings in the truncations and show that the compatibility with Ward identities implies strong relations between $\beta$-functions, allowing to close the infinite hierarchy of flow equations in the non-branching sector, up to a given order in the derivative expansion. Finally, using exact relation between correlations functions in large $N$-limit, we show that strictly local truncations are insufficient to reach the exact value for the critical exponent, highlighting the role played by these strong relations between observables taking into account the behavior of the flow; and the role played by the multi-trace operators, discussed in the two different approximation schemes. In both cases, we compare our conclusions to the results obtained in the literature and conclude that, at a given order, taking into account the exact functional relations between observables like Ward identities in a systematic way we can strongly improve the physical relevance of the approximation for exact RG equation.