This paper was converted on www.awesomepapers.org from LaTeX by an anonymous user.
Want to know more? Visit the Converter page.

YITP-20-57
Numerical and analytical studies of a matrix model with non-pairwise contracted indices


Yukawa Institute for Theoretical Physics, Kyoto University, Kitashirakawa, Sakyo-ku, Kyoto 606-8502, Japan
E-mail
Abstract:

The canonical tensor model, which is a tensor model in the Hamilton formalism, can be straightforwardly quantized and has an exactly solved physical state. The state is expressed by a wave function with a generalized form of the Airy function. The simplest observable on the state can be expressed by a matrix model which contains non-pairwise index contractions. This matrix model has the same form as the one that appears when the replica trick is applied to the spherical pp-spin model for spin glasses, but our case has different ranges of variables and parameters from the spin glass case. We analyze the matrix model analytically and numerically. We show some evidences for the presence of a continuous phase transition at the location required by a consistency condition of the canonical tensor model. We also show that there are dimensional transitions of configurations around the transition region. Implications of the results to the canonical tensor model are discussed.

1 Introduction

Quantization of gravity is one of the most challenging problems in theoretical physics. There have been various proposals to solve the problem. Discretized setups are used by some of them, including tensor models [1, 2, 3, 4]. In discretized approaches, the main question is whether the dynamics generate global spacetimes with the continuum description of GR. In the tensor models in Euclidean forms, however, the produced objects are singular, such as branched polymers [5], or unnatural fine-tunings of the models are required to generate global spaces [6, 7]. Currently, it is an open question whether there exist discretized theories with sensible spacetime emergence.

Stimulated by the success of CDT [8], a Lorentzian formulation of the tensor model was proposed by the current author [9, 10]. Rather than introducing an explicit time direction, the tensor model was formulated as a first-class constrained system in the Hamilton formalism. Namely, Hamiltonian is given by

H=Naa+N[ab][ab],\displaystyle H=N_{a}{\cal H}_{a}+N_{[ab]}{\cal L}_{[ab]}, (1)

where NaN_{a} and N[ab]N_{[ab]} are arbitrary multipliers, and a{\cal H}_{a} and [ab]{\cal L}_{[ab]} are the first-class constraints satisfying the following structure of a closed Poisson algebra [9, 10],

{,},{,},{,}.\displaystyle\begin{split}\{{\cal H},{\cal H}\}\sim{\cal L},\\ \{{\cal H},{\cal L}\}\sim{\cal H},\\ \{{\cal L},{\cal L}\}\sim{\cal L}.\end{split} (2)

Here the indices take the values, 1,2,,N1,2,\ldots,N, and the repeated indices are assumed to be summed over. Intriguingly, this constraint Poisson algebra has the similar form as that of the ADM formalism of GR with the correspondence of a{\cal H}_{a} and [ab]{\cal L}_{[ab]} to the Hamiltonian and momentum constraints, respectively. In particular, the similarity includes the variable dependence of the structure function in the first line of (2), which makes the dynamics non-trivial. Under some reasonable assumptions such as time-reversal symmetry and locality for the tensor model, the formulation was shown to be unique [10]. We call the tensor model the canonical tensor model for short, since this is based on the canonical formalism.

The quantization of the canonical tensor model is straightforward with the canonical quantization [11]. After quantization, the first class constraint algebra basically keeps the form (2) with the replacement of the Poisson brackets to commutators. The physical state conditions are given by

^a|Ψ=^[ab]|Ψ=0,\displaystyle\hat{\cal H}_{a}|\Psi\rangle=\hat{\cal L}_{[ab]}|\Psi\rangle=0, (3)

where ^a\hat{\cal H}_{a} and ^[ab]\hat{\cal L}_{[ab]} are the quantized constraints. These conditions give a system of partial differential equations with non-linear coefficients for wave functions. Surprisingly, these equations have an exact solution [12],

Ψ(P)=(Na=1Ndϕaexp(IPabcϕaϕbϕc)Ai(κϕaϕa))λH2,\displaystyle\Psi(P)=\left(\int_{\mathbb{R}^{N}}\prod_{a=1}^{N}d\phi_{a}\,\exp\left(I\,P_{abc}\phi_{a}\phi_{b}\phi_{c}\right){\rm Ai}\left(\kappa\,\phi_{a}\phi_{a}\right)\right)^{\frac{\lambda_{H}}{2}}, (4)

where λH=(N+2)(N+3)/2\lambda_{H}=(N+2)(N+3)/2, PP designates a real symmetric tensor Pabc(a,b,c=1,2,,N)P_{abc}\ (a,b,c=1,2,\ldots,N), II is the imaginary unit (I2=1I^{2}=-1), and Ai()(\cdot) is the Airy Ai function. κ\kappa is a real parameter, which has the opposite sign to the cosmological constant, which has been argued by comparing the N=1N=1 case with the mini-superspace approximation of GR [13]. An important thing is that the relation λH=(N+2)(N+3)/2\lambda_{H}=(N+2)(N+3)/2 is determined by the hermiticity of the quantized constraint ^a\hat{\cal H}_{a}, and should therefore have this fixed relation with NN.

The properties of the wave function (4) are largely unknown. In particular it is unknown whether this has ridges which can be understood as spacetime trajectories, as in the ideal situation shown in the left figure of Figure 1. On the other hand, the wave function is known to have peaks (or ridges) on the locations where PabcP_{abc} satisfies Lie group symmetries (namely, Pabc=haahbbhccPabc(hH)P_{abc}=h_{a}^{a^{\prime}}h_{b}^{b^{\prime}}h_{c}^{c^{\prime}}P_{a^{\prime}b^{\prime}c^{\prime}}\ (h\in H) with a Lie group representation HH), as shown for the N=3N=3 case in the right figure of Figure 1 [14, 15]. A striking fact is that the Lie-groups associated to such ridges of the wave function (4) have Lorentz signatures. Comparing with the left figure, the similarity encourages the study of the canonical tensor model as a model for emergent spacetimes. It would also be noteworthy that Lie group symmetries, such as Lorentz, de Sitter, and gauge, are ubiquitous in the universe, as on the peaks (or ridges) of the wave function.

Refer to caption
Refer to caption
Figure 1: Left: An ideal wave function which contains a ridge representing a spacetime. Right: The wave function of the canonical tensor model with N=3N=3.

2 The matrix model

To understand more of the properties of the wave function, we take a different strategy in this section. The simplest observable would be

Ψ|eαP^abcP^abc|Ψ,\displaystyle\langle\Psi|e^{-\alpha\hat{P}_{abc}\hat{P}_{abc}}|\Psi\rangle, (5)

where α\alpha is positive real. For example, one of the interests in this wave function is the limit α+0\alpha\rightarrow+0. If the wave function contains a ridge which has a spacetime interpretation with an infinite extension of a time direction, the norm will linearly diverge in this time direction in the α+0\alpha\rightarrow+0 limit. Therefore the behavior of (5) in the limit is related to whether the tensor model wave function contains an infinite extension of time direction or not.

Currently, it is not easy to study (5). Therefore our strategy is to carry out some simplifications to the wave function (4). When κ>0\kappa>0, which corresponds to the negative cosmological constant, the Airy Ai function is a fast decaying function of ϕaϕa\phi_{a}\phi_{a}. Therefore, as an initial study, it would be interesting to simplify the Airy function to ekϕaϕae^{-k\phi_{a}\phi_{a}} with positive kk, and study the properties of (5). With this simplification we obtain

Ψsimple|eαP^abcP^abc|Ψsimple=𝒩α#P/2ZN,λH((4α)1,k),\displaystyle\langle\Psi_{simple}|e^{-\alpha\hat{P}_{abc}\hat{P}_{abc}}|\Psi_{simple}\rangle={\cal N}\alpha^{-\#P/2}Z_{N,\lambda_{H}}((4\alpha)^{-1},k), (6)

where 𝒩{\cal N} is an unimportant normalization factor, #P=N(N+1)(N+2)/6\#P=N(N+1)(N+2)/6, namely, the number of independent components of PabcP_{abc}, and ZN,R(λ,k)Z_{N,R}(\lambda,k) is the partition function of the matrix model defined by [16]

ZN,R(λ,k)=i=1Ra=1Ndϕaieλi,j=1R(ϕaiϕaj)3ki=1Rϕaiϕai.\displaystyle Z_{N,R}(\lambda,k)=\int\prod_{i=1}^{R}\prod_{a=1}^{N}d\phi_{a}^{i}\ e^{-\lambda\sum_{i,j=1}^{R}(\phi_{a}^{i}\phi_{a}^{j})^{3}-k\sum_{i=1}^{R}\phi_{a}^{i}\phi_{a}^{i}}. (7)

Here the repeated lower indices are assumed to be summed over, but the summation over the upper indices are written explicitly. This is because the upper indices are not always contracted pairwise: the first term of the exponent contains triple contractions of the upper indices. We also assume λ,k>0\lambda,k>0 for the obvious convergence of the integration.

It is particularly important to note that, while the matrix model (7) itself has both NN and RR as free parameters, they are restricted by R=λH=(N+2)(N+3)/2R=\lambda_{H}=(N+2)(N+3)/2, if we consider the relation (6) to the tensor model. Surprisingly, we will see later that this relation agrees with the location of the continuous phase transition (or crossover) point in the leading order of NN.

Lastly, let us comment on the relation between our matrix model and the one that appears in the replica trick applied to the the spherical pp-spin model (p=3p=3) for spin glasses [17, 18]. The partition function of the spherical pp-spin model for p=3p=3 is given by

Zp-spin=ϕaϕa=1𝑑ϕePabcϕaϕbϕc\displaystyle Z_{p\hbox{-}{\rm spin}}=\int_{\phi_{a}\phi_{a}=1}d\phi\ e^{-P_{abc}\phi_{a}\phi_{b}\phi_{c}} (8)

with a random coupling PabcP_{abc} to simulate spin glasses. Simulating the random coupling by Gaussian distribution, eαP2e^{-\alpha P^{2}}, and applying the replica trick, one obtains

𝑑PeαP2(Zp-spin)R=ϕaiϕai=1𝑑ϕe14αi,j=1R(ϕaiϕaj)3.\displaystyle\int dP\,e^{-\alpha P^{2}}(Z_{p\hbox{-}{\rm spin}})^{R}=\int_{\phi_{a}^{i}\phi_{a}^{i}=1}d\phi\ e^{\frac{1}{4\alpha}\sum_{i,j=1}^{R}(\phi_{a}^{i}\phi_{a}^{j})^{3}}. (9)

This is very similar to our matrix model (7), but there are a few major differences. One is that the coupling parameter has the opposite sign compared to our case. This means that the dominant configurations are largely different between the spin glass and our cases. Another difference is that, in the replica trick, the replica number RR is finally taken to the limit R0R\rightarrow 0, while we are rather interested in the case of the tensor model R=λH=(N+2)(N+3)/2R=\lambda_{H}=(N+2)(N+3)/2. In particular, this means that, in the thermodynamic limit NN\rightarrow\infty, RR should also be taken infinite for the correspondence to the tensor model.

3 Perturbative computations

A perturbative computation of the matrix model (7) was carried out in [16]. Regarding the exponent of (7) as the action of the matrix model, Feynman rules can be written down for the perturbative computation in λ\lambda. The most dominant diagrams in large RR for each order in λ\lambda are the necklace diagrams depicted in Figure 2, where the examples of the order n=3n=3 are given. Summing over all nn, it has been obtained that

ZN,R(λ,k)=𝒩𝑑rrNR1fN,R(λr6)ekr2,\displaystyle Z_{N,R}(\lambda,k)={\cal N^{\prime}}\int dr\,r^{NR-1}f_{N,R}(\lambda r^{6})\,e^{-kr^{2}}, (10)

where

fN,R(t)=(1+12tN3R2)N(N1)(N+4)12(1+6(N+4)tN3R2)N2.\displaystyle f_{N,R}(t)=\left(1+\frac{12t}{N^{3}R^{2}}\right)^{-\frac{N(N-1)(N+4)}{12}}\left(1+\frac{6(N+4)t}{N^{3}R^{2}}\right)^{-\frac{N}{2}}. (11)
Refer to caption
Figure 2: The necklace diagrams for the third order.

A generalization of the perturbative computation above was performed in [19] by employing a slightly different strategy. In the generalization, the coupling term in the exponent was generalized to

i,j=1RΛij(ϕaiϕaj)3\displaystyle\sum_{i,j=1}^{R}\Lambda_{ij}(\phi_{a}^{i}\phi_{a}^{j})^{3} (12)

with a symmetric matrix Λ\Lambda. In this case, the above fN,R(t)f_{N,R}(t) is generalized to

fN,R(t)=eΛhN,R(eΛt),\displaystyle f_{N,R}(t)=\prod_{e_{\Lambda}}h_{N,R}(e_{\Lambda}t), (13)

where the product is over the eigenvalues of the matrix Λ\Lambda with the degeneracies taken into account, and

hN,R(t)=(1+12γ3t)N(N+4)(N1)12(1+6(N+4)γ3t)N2\displaystyle h_{N,R}(t)=(1+12\gamma_{3}t)^{-\frac{N(N+4)(N-1)}{12}}\,(1+6(N+4)\gamma_{3}t)^{-\frac{N}{2}} (14)

with

γ3=Γ(NR2)8Γ(NR2+3).\displaystyle\gamma_{3}=\frac{\Gamma\left(\frac{NR}{2}\right)}{8\,\Gamma\left(\frac{NR}{2}+3\right)}. (15)

This indeed agrees with (11) for the special case Λij=λ\Lambda_{ij}=\lambda in the leading order of RR, since the eigenvalues of Λ\Lambda are one RλR\lambda and R1R-1 zeros. This generalization makes it possible to compute the expectation values of the products of (ϕaiϕaj)3(\phi_{a}^{i}\phi_{a}^{j})^{3} by taking the derivatives of the partition function with respect to Λij\Lambda_{ij}.

4 Monte Carlo simulations

The Monte Carlo simulations were performed by the Metropolis update method in [19]. We observed a phase transition or a crossover around RN2/2R\sim N^{2}/2. This location curiously agrees with R=λH=(N+2)(N+3)/2R=\lambda_{H}=(N+2)(N+3)/2 in the leading order of NN, which is required by the consistency of the tensor model, as explained in Section 2.

Since the overall coefficient of the exponent of (7) can be absorbed by the rescaling of ϕai\phi_{a}^{i}, we set λ=1\lambda=1 in the simulations, leaving N,R,kN,R,k as variables.

4.1 Expectation values of observables

We show the results of the expectation values, U\langle U\rangle, Ud\langle U_{d}\rangle, and r2\langle r^{2}\rangle, in Figure 3, where

U=i,j=1R(ϕaiϕaj)3,Ud=i=1R(ϕaiϕai)3,r2=i=1Rϕaiϕai.\displaystyle U=\sum_{i,j=1}^{R}(\phi_{a}^{i}\phi_{a}^{j})^{3},\ U_{d}=\sum_{i=1}^{R}(\phi_{a}^{i}\phi_{a}^{i})^{3},\ r^{2}=\sum_{i=1}^{R}\phi_{a}^{i}\phi_{a}^{i}. (16)
Refer to caption
Refer to caption
Refer to caption
Figure 3: Expectation values of observables. The dots with error bars are the Monte Carlo results. The solid lines are the perturbative analytical results.

There seems to exists a continuous phase transition point or a cross over near RN2/2R\sim N^{2}/2. The simplest characterization of the transition is that ϕai\phi_{a}^{i} take small values for RN2/2R\lesssim N^{2}/2, while ϕai\phi_{a}^{i} take large values for RN2/2R\gtrsim N^{2}/2. To answer the question whether this is a phase transition in the thermodynamic limit NN\rightarrow\infty turned out to be very difficult. In the region where RN2/2R\gtrsim N^{2}/2 and kk is small, there are slowdowns of Monte Carlo updates: If we took step sizes so that acceptance rates were reasonable, the configuration updates were too slow for us to see the thermodynamic equilibriums within our runtimes. This problem restricted us to perform the simulations in the range N10N\lesssim 10 and k0.05k\gtrsim 0.05, which were not enough to see a sharp transition: The transition may be a phase transition or just a crossover.

Another issue is that the analytical results do not agree with the Monte Carlo results in the vicinity of the transition region RN2/2R\sim N^{2}/2. This implies that some important contributions have not been taken into account in the perturbative analytic computations.

4.2 Dimensional transition

To see what occurs at the transition region in more detail, we studied the characteristics of the configurations. The NN-dimensional vector ϕai\phi_{a}^{i} for each ii can be regarded as representing a point in an NN-dimensional vector space. Then the collection of RR points, ϕai(i=1,2,,R)\phi_{a}^{i}\ (i=1,2,\ldots,R), represents a point cloud in the NN-dimensional space. Rather than considering the point cloud itself, we project the points onto the unit sphere SN1S^{N-1} by ϕ~ai=ϕai/ϕaiϕai\tilde{\phi}_{a}^{i}=\phi_{a}^{i}/\sqrt{\phi_{a}^{i}\phi_{a}^{i}}. If a point cloud is a d+1d+1 dimensional ball-like object in the NN-dimensional space, the projection produces a point cloud with the topology of SdS^{d} on the unit SN1S^{N-1}. Therefore the topology of the projected point cloud on SN1S^{N-1} can be used to determine the dimension of the point cloud of ϕai(i=1,2,,R)\phi_{a}^{i}\ (i=1,2,\ldots,R). One can know the topology in various manners. Below we will study the topologies of the projected point clouds in three different manners, where the datas come from the actual simulations.

First, we use Principal Component Analysis (PCA). This is to extract some major directions in which a point cloud has extensions. If d2d\leq 2, one can project SdS^{d} into a three-dimensional space as shown in Figure 4.

Refer to caption
Figure 4: The density plots of the projected point clouds, which were projected further to a three-dimensional space by PCA. The datas are from the simulations of N=4,k=0.01N=4,\ k=0.01 and the values of RR shown in the figure.

There exist topology changes from lower to higher dimensional spheres, when RR is increased in the transition region.

Next we will see the topology by the angular distribution among the vectors, ϕ~ai\tilde{\phi}_{a}^{i} and ϕ~aj(ij)\tilde{\phi}_{a}^{j}\ (i\neq j). It is easy to understand that, if ϕ~ai(i=1,2,,R)\tilde{\phi}_{a}^{i}\ (i=1,2,\ldots,R) form a point cloud of the form of a unit SdS^{d}, the angular distribution will be

𝒩sind1(θ)dθ\displaystyle{\cal N}\sin^{d-1}(\theta)d\theta (17)

with an unimportant normalization factor 𝒩{\cal N}. We fit the data with the distribution (17) to extract the value of dd. The results are shown in Figure 5. There is an increase of the dimensions with the increase of RR.

Refer to caption
Figure 5: The angular distribution among ϕai\phi_{a}^{i} and ϕaj(ij)\phi_{a}^{j}\ (i\neq j) for various RR with N=10,k=0.01N=10,\ k=0.01.

The last way is to use the persistent homology [20]. This is a method used in the topological data analysis, that extracts homology structure of datas which are coarse-grained by a scale parameter. If a point cloud forms SdS^{d}, a dd-dimensional persistent homology group element will be detected. The result of the analysis is shown in Figure 6, where PHiPH_{i} designates the ii-dimensional persistent homology group. As can be seen, higher dimensional homology group elements appear more often as RR is increased.

Refer to caption
Refer to caption
Figure 6: Persistent diagrams for various RR with N=10,k=0.01N=10,\ k=0.01, where persistent homology group elements are represented by dots. The scale parameters, ubirthu_{birth} and udeathu_{death}, designate the births and deaths of the elements. Long-life (persistent) elements are the dots distant from the diagonal lines.

5 Summary and future prospects

We have studied a matrix model which represents the simplest observable for an exactly solved physical state of the canonical tensor model. This matrix model has the unusual property that it contains non-pairwise index contractions, and cannot be exactly solved by the well-known methods applied to the usual matrix models. This matrix model has the similar form as the one that appears in the replica trick of the spherical pp-spin model (p=3p=3) for spin glasses. However, our case has different ranges of parameters and variables from the spin glass case, and new analysis is needed. We have performed some analytical and numerical computations for the matrix model. The most striking result is the presence of the continuous phase transition point or a crossover at the location which is required by the consistency of the canonical tensor model. This means that the canonical tensor model exists exactly on or in the vicinity of the continuous phase transition point. This means that the canonical tensor model automatically exists at the location where its continuum limit could be taken, as continuum theories are often obtained by taking continuum limits around continuous phase transition points. The non-trivial behavior of the dimensions of the configurations, represented by point clouds, would also be encouraging for the possibility of spacetime emergence in the canonical tensor model.

Further improvement of the results after the conference has been presented in our recent paper [21].

Acknowledgements

The Monte Carlo simulations in this study were performed using KEKCC, the cluster system of KEK. N.S. would like to thank L. Lionni and S. Takeuchi for the collaborations, on which this presentation is based. The work of N.S. is supported in part by JSPS KAKENHI Grant No.19K03825.

References

  • [1] J. Ambjorn, B. Durhuus, and T. Jonsson, “Three-dimensional simplicial quantum gravity and generalized matrix models,” Mod. Phys. Lett. A06 (1991) 1133–1146.
  • [2] N. Sasakura, “Tensor model for gravity and orientability of manifold,” Mod. Phys. Lett. A06 (1991) 2613–2624.
  • [3] N. Godfrey and M. Gross, “Simplicial quantum gravity in more than two-dimensions,” Phys. Rev. D43 (1991) R1749–1753.
  • [4] R. Gurau, “Colored Group Field Theory,” Commun. Math. Phys.  304, 69 (2011) doi:10.1007/s00220-011-1226-9 [arXiv:0907.2582 [hep-th]].
  • [5] R. Gurau and J. P. Ryan, “Colored Tensor Models - a review,” SIGMA 8, 020 (2012) doi:10.3842/SIGMA.2012.020 [arXiv:1109.4812 [hep-th]].
  • [6] N. Sasakura, “The Fluctuation spectra around a Gaussian classical solution of a tensor model and the general relativity,” Int. J. Mod. Phys. A 23, 693 (2008) doi:10.1142/S0217751X08038536 [arXiv:0706.1618 [hep-th]].
  • [7] N. Sasakura, “The Lowest modes around Gaussian solutions of tensor models and the general relativity,” Int. J. Mod. Phys. A 23, 3863 (2008) doi:10.1142/S0217751X0804130X [arXiv:0710.0696 [hep-th]].
  • [8] R. Loll, “Quantum Gravity from Causal Dynamical Triangulations: A Review,” arXiv:1905.08669 [hep-th].
  • [9] N. Sasakura, “Canonical tensor models with local time,” Int. J. Mod. Phys. A 27, 1250020 (2012) doi:10.1142/S0217751X12500200 [arXiv:1111.2790 [hep-th]].
  • [10] N. Sasakura, “Uniqueness of canonical tensor model with local time,” Int. J. Mod. Phys. A 27, 1250096 (2012) doi:10.1142/S0217751X12500960 [arXiv:1203.0421 [hep-th]].
  • [11] N. Sasakura, “Quantum canonical tensor model and an exact wave function,” Int. J. Mod. Phys. A 28, 1350111 (2013) doi:10.1142/S0217751X1350111X [arXiv:1305.6389 [hep-th]].
  • [12] G. Narain, N. Sasakura and Y. Sato, “Physical states in the canonical tensor model from the perspective of random tensor networks,” JHEP 1501, 010 (2015) doi:10.1007/JHEP01(2015)010 [arXiv:1410.2683 [hep-th]].
  • [13] N. Sasakura and Y. Sato, “Interpreting canonical tensor model in minisuperspace,” Phys. Lett. B 732, 32 (2014) doi:10.1016/j.physletb.2014.03.006 [arXiv:1401.2062 [hep-th]].
  • [14] D. Obster and N. Sasakura, “Emergent symmetries in the canonical tensor model,” PTEP 2018, no. 4, 043A01 (2018) doi:10.1093/ptep/pty038 [arXiv:1710.07449 [hep-th]].
  • [15] D. Obster and N. Sasakura, “Symmetric configurations highlighted by collective quantum coherence,” Eur. Phys. J. C 77, no. 11, 783 (2017) doi:10.1140/epjc/s10052-017-5355-y [arXiv:1704.02113 [hep-th]].
  • [16] L. Lionni and N. Sasakura, “A random matrix model with non-pairwise contracted indices,” PTEP 2019, no. 7, 073A01 (2019) doi:10.1093/ptep/ptz057 [arXiv:1903.05944 [hep-th]].
  • [17] A. Crisanti and H.-J. Sommers, “The spherical p-spin interaction spin glass model: the statics,” Z. Phys. B 87, 341 (1992).
  • [18] T. Castellani and A. Cavagna, “Spin-glass theory for pedestrians”, J. Stat. Mech.: Theo. Exp. 2005, 05012 [arXiv: cond-mat/0505032].
  • [19] N. Sasakura and S. Takeuchi, “Numerical and analytical analyses of a matrix model with non-pairwise contracted indices,” Eur. Phys. J. C 80, no. 2, 118 (2020) doi:10.1140/epjc/s10052-019-7591-9 [arXiv:1907.06137 [hep-th]].
  • [20] G. Carlsson, “Topology and data,” Bulletin of the American Mathematical Society, 46(2), 255-308, DOI: 10.1090/S0273-0979-09-01249-X.
  • [21] D. Obster and N. Sasakura, “Phases of a matrix model with non-pairwise index contractions,” [arXiv:2004.03152 [hep-th]].