Table of Contents
Fetching ...

The Multi-Orientable Random Tensor Model, a Review

Adrian Tanasa

TL;DR

The paper reviews the multi-orientable (MO) random tensor model as a broader alternative to colored tensor models, detailing the $1/N$ expansion, large-$N$ limit, and the double scaling limit. It identifies melonic graphs as the leading sector and infinity graphs as the next-to-leading sector, and develops a thorough combinatorial framework (dipoles, chains, schemes) leading to dominant configurations described by rooted binary trees. The double scaling analysis combines $N\to\infty$ with critical coupling $\lambda\to\lambda_c$, yielding explicit scaling forms for two-, four-, and higher-point functions and revealing controlled, nonperturbative behavior through the parameter $\kappa$. The work also discusses probabilistic interpretations, renormalizability avenues, and future directions toward a continuum limit and connections with quantum gravity in higher dimensions.

Abstract

After its introduction (initially within a group field theory framework) in [Tanasa A., J. Phys. A: Math. Theor. 45 (2012), 165401, 19 pages, arXiv:1109.0694], the multi-orientable (MO) tensor model grew over the last years into a solid alternative of the celebrated colored (and colored-like) random tensor model. In this paper we review the most important results of the study of this MO model: the implementation of the $1/N$ expansion and of the large $N$ limit ($N$ being the size of the tensor), the combinatorial analysis of the various terms of this expansion and finally, the recent implementation of a double scaling limit.

The Multi-Orientable Random Tensor Model, a Review

TL;DR

The paper reviews the multi-orientable (MO) random tensor model as a broader alternative to colored tensor models, detailing the expansion, large- limit, and the double scaling limit. It identifies melonic graphs as the leading sector and infinity graphs as the next-to-leading sector, and develops a thorough combinatorial framework (dipoles, chains, schemes) leading to dominant configurations described by rooted binary trees. The double scaling analysis combines with critical coupling , yielding explicit scaling forms for two-, four-, and higher-point functions and revealing controlled, nonperturbative behavior through the parameter . The work also discusses probabilistic interpretations, renormalizability avenues, and future directions toward a continuum limit and connections with quantum gravity in higher dimensions.

Abstract

After its introduction (initially within a group field theory framework) in [Tanasa A., J. Phys. A: Math. Theor. 45 (2012), 165401, 19 pages, arXiv:1109.0694], the multi-orientable (MO) tensor model grew over the last years into a solid alternative of the celebrated colored (and colored-like) random tensor model. In this paper we review the most important results of the study of this MO model: the implementation of the expansion and of the large limit ( being the size of the tensor), the combinatorial analysis of the various terms of this expansion and finally, the recent implementation of a double scaling limit.

Paper Structure

This paper contains 17 sections, 16 theorems, 44 equations, 23 figures.

Key Result

Proposition 3.1

A non-bipartite MO graph has at least one non-orientable jacket and thus its degree satisfies the inequality: $\delta \ge \frac{1}{2}$.

Figures (23)

  • Figure 1: The MO vertex and an MO vacuum Feynman graph.
  • Figure 2: A different representation (without strands) of the MO vertex.
  • Figure 3: Examples of MO tensor graphs which do not occur in the colorable framework.
  • Figure 4: The three jackets associated to the graph of Fig. \ref{['graf']}.
  • Figure 5: Deletion a pair of opposite corner strands in a non-MO graph.
  • ...and 18 more figures

Theorems & Definitions (25)

  • Definition 2.1
  • Proposition 3.1
  • Proposition 3.2
  • Proposition 3.3
  • Theorem 3.4
  • Theorem 3.5
  • Lemma 4.1
  • Definition 4.2
  • Definition 4.3
  • Definition 4.4
  • ...and 15 more