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YITP-22-123
Exact analytic expressions of real tensor eigenvalue
distributions of Gaussian tensor model for small NN

Naoki Sasakura111sasakura@yukawa.kyoto-u.ac.jp
Yukawa Institute for Theoretical Physics, Kyoto University,
and

CGPQI, Yukawa Institute for Theoretical Physics, Kyoto University,
Kitashirakawa, Sakyo-ku, Kyoto 606-8502, Japan
(April 21, 2023)

We obtain exact analytic expressions of real tensor eigenvalue/vector distributions of real symmetric order-three tensors with Gaussian distributions for N8N\leq 8. This is achieved by explicitly computing the partition function of a zero-dimensional boson-fermion system with four-interactions. The distributions are expressed by combinations of polynomial, exponential and error functions as results of feasible complicated bosonic integrals which appear after fermionic integrations. By extrapolating the expressions and also using a previous result, we guess a large-NN expression. The expressions are compared with Monte Carlo simulations, and precise and good agreement are obtained with the exact and the large-NN expressions, respectively. Understanding the feasibility of the integration is left for future study, which would provide a general-NN analytic formula.

1 Introduction

Eigenvalue distributions are important dynamical quantities in studies of matrix models. They model energy eigenvalue distributions of complex dynamical systems [1]. They provide a major technique in solving matrix models [2]. Their topological properties differentiate phases of matrix models222For more details, see for instance [3]., providing insights into the dynamics of gauge theories [4, 5].

Recently, tensor models [6, 7, 8, 9] attract much attention in various contexts [10]. While it is important to develop efficient techniques of computing eigenvalues/vectors for certain tensors in various practical applications of tensors [11], it is also interesting to study their distributions for ensembles of tensors, because tensors are dynamical in tensor models.

While there are already some interesting results [12, 13, 14, 15, 16, 17], eigenvalue distributions in tensor models still remain largely unexplored. In our previous studies [16, 17], the problem was rewritten as computations of partition functions of zero-dimensional fermion systems. In [16], an exact formula of signed distributions of real eigenvalue/vector distributions for real symmetric order-three tensors with Gaussian distributions was obtained, where each eigenvalue/vector contributed to the distribution by ±1\pm 1, depending on the sign of a Hessian matrix associated to each eigenvalue/vector. In [17], real eigenvalue/vector distributions for the same ensemble of tensors was studied. In this study, however, only an approximate large-NN expression333NN denotes the dimension of the index vector space of the tensor. was obtained by truncating a Schwinger-Dyson equation, though some closely related exact results were also obtained. While the functional form of the large-NN expression, which was a Gaussian, agreed well with Monte Carlo simulations, the overall factor did not and an improvement was expected.

In this paper, we rewrite the real eigenvalue/vector problem as a computation of a partition function of a boson-fermion system with four-interactions, instead of the fermion systems in the previous studies [16, 17]. We exactly compute the real eigenvalue/vector distributions for real symmetric order-three tensors with Gaussian distributions for N8N\leq 8, and extrapolate the expressions to guess a large-NN expression, including the overall factor, which was not correctly obtained by the approximation of the previous paper [17]. We compare the exact expressions for small NN with Monte Carlo simulations, and obtain precise agreement. We also compare the large-NN expression, and obtain good agreement.

Computing the real eigenvalue/vector distributions is essentially the same as the computation of complexity in the pp-spin spherical model of spin glasses [18, 19] (see Appendix D). By using a rotational symmetry, the problem can be mapped to a random matrix model, which can subsequently be solved by the standard matrix model methods [20, 12, 13]. In fact the results of Section 6 can be obtained from those in [20], as explained in Appendix D. However we expect that the field theoretical method employed in this paper may provide new insights and new applications in future analysis of the tensor eigenvalue/vector problems, which are still largely unexplored.

This paper is organized as follows. In Section 2, we define what we compute, the real eigenvalue/vector distributions for real symmetric order-three tensors with Gaussian distributions. In Section 3, we rewrite the problem as computation of a partition function of a zero-dimensional boson-fermion system with four-interactions. In Section 4, we determine the general form which is obtained by integrating out the fermions in the partition function. In Section 5, we perform the remaining bosonic integrals but one. In Section 6, we explicitly perform the last bosonic integral for each case of N8N\leq 8, and obtain the explicit exact expressions of the distributions. Interestingly, the apparently complicated bosonic integrals are feasible and the final results have simple expressions. In Section 7, we perform some Monte Carlo simulations, and precise agreement with the exact expressions is obtained. In Section 8, we perform an extrapolation of the exact results for small NN to guess a large-NN expression. We compare it with Monte Carlo simulations, and good agreement is obtained. The last section is devoted to a summary and future prospects.

2 Real eigenvector/value distributions of tensors

In this paper, we restrict ourselves to the real symmetric order-three tensors, i.e., Cabc(a,b,c=1,2,,N)C_{abc}\in\mathbb{R}\ (a,b,c=1,2,\ldots,N), satisfying Cabc=Cbac=CbcaC_{abc}=C_{bac}=C_{bca}, as the simplest case. As for eigenvalues/vectors of tensors, there are a few similar but slightly different definitions in the literature [21, 22, 23]. In this paper we employ the definition that the real eigenvectors vv of a given CC are the non-zero solutions to

Cabcvbvc=va,(v0,vN),\displaystyle C_{abc}v_{b}v_{c}=v_{a},\ (v\neq 0,\ v\in\mathbb{R}^{N}), (1)

where the repeated indices are assumed to be summed over, as will be assumed in the rest of this paper. Then the distribution of the eigenvectors for a given CC is given by

ρ(v,C)=i=1nCδN(vvi)=|detM|a=1Nδ(vaCabcvbvc)\displaystyle\begin{split}\rho(v,C)&=\sum_{i=1}^{n_{C}}\delta^{N}(v-v^{i})\\ &=|\det M|\prod_{a=1}^{N}\delta(v_{a}-C_{abc}v_{b}v_{c})\end{split} (2)

for v0v\neq 0 under the volume measure dNv=a=1Ndvad^{N}v=\prod_{a=1}^{N}dv_{a}, where vi(i=1,2,,nC)v^{i}\ (i=1,2,\ldots,n_{C}) are all the solutions to (1), |||\cdot| denotes the absolute value, and

Mab=va(vbCbcdvcvd)=δab2Cabcvc.\displaystyle M_{ab}=\frac{\partial}{\partial v_{a}}\left(v_{b}-C_{bcd}v_{c}v_{d}\right)=\delta_{ab}-2C_{abc}v_{c}. (3)

Here the absolute value of the determinant, |detM||{\rm det}M|, is the Jacobian associated to the change of the arguments of the δ\delta-functions performed in (2).

When the tensor CC has a Gaussian distribution, the real eigenvector distribution is given by

ρ(v)=A1#C𝑑CeαC2ρ(v,C),\displaystyle\rho(v)=A^{-1}\int_{\mathbb{R}^{\#C}}dC\,e^{-\alpha C^{2}}\rho(v,C), (4)

where dC=abc=1NdCabcdC=\prod_{a\leq b\leq c=1}^{N}dC_{abc}, A=#C𝑑CeαC2A=\int_{\mathbb{R}^{\#C}}dC\,e^{-\alpha C^{2}}, C2=CabcCabcC^{2}=C_{abc}C_{abc}, α>0\alpha>0, and #C=N(N+1)(N+2)/6\#C=N(N+1)(N+2)/6, which is the total number of the independent components of CC.

It is worth commenting on the eigenvalue distribution corresponding to the real eigenvector distribution above. An eigenvalue ζ\zeta accompanied with a real eigenvector vv (a Z-eigenvalue in the terminology of [21]) is defined by

Cabcwbwc=ζwa(|w|=1,wN),\displaystyle C_{abc}w_{b}w_{c}=\zeta\,w_{a}\ (|w|=1,\ w\in\mathbb{R}^{N}), (5)

where |w|=wawa|w|=\sqrt{w_{a}w_{a}}. Comparing with (1), we obtain the relation,

ζ=1|v|.\displaystyle\zeta=\frac{1}{|v|}. (6)

Therefore, by using (6) and the fact that ρ(v)\rho(v) is actually a function of |v||v| because of the rotational symmetry of the distribution, we obtain the real eigenvalue distribution,

ρeig(ζ)=ρ(1/ζ)SN1ζN1,\displaystyle\rho_{\rm eig}(\zeta)=\rho(1/\zeta)S_{N-1}\zeta^{-N-1}, (7)

where 1/ζ1/\zeta in the argument abusively represents an arbitrary vector of size 1/ζ1/\zeta, and SN1=2πN/2/Γ[N/2]S_{N-1}=2\pi^{N/2}/\Gamma[N/2], the surface volume of a unit sphere in an NN-dimensional space.

Here we would like to stress that we are specifically considering real eigenvalues/vectors only. Unlike real symmetric matrices, real symmetric tensors can also have complex eigenvalues/vectors by allowing complex solutions to the equation in (1). To include such complex solutions in our analysis, the expressions in this section need to appropriately be modified. Note also that the connection to the pp-spin spherical model explained in Appendix D is lost in this case. Therefore the end results for the complex case may have non-trivial differences from the real case.

3 A zero-dimensional boson-fermion system

In this section, we will rewrite (4) with (2) as a partition function of a zero-dimensional boson-fermion system with four-interactions. An immediate obstacle in doing this is the presence of an absolute value in (2), which is not an analytic function. To rewrite it in an analytic form, we take

|detM|=limϵ+0det(M2+ϵI)det(M2+ϵI),\displaystyle|\det M|=\lim_{\epsilon\rightarrow+0}\frac{\det(M^{2}+\epsilon I)}{\sqrt{\det(M^{2}+\epsilon I)}}, (8)

where Iab=δabI_{ab}=\delta_{ab} is an identity matrix, and the parameter ϵ\epsilon is a positive small regularization parameter, which assures the convergence of the integrals below.

Determinant factors like (8) can be managed inside partition functions of zero-dimensional field theoretical systems. This technique is common in supersymmetric approaches to disorder averaging in statistical physics (see for instance [24] and references therein). The numerator det(M2+ϵI)\det(M^{2}+\epsilon I) can be rewritten as det(M2+ϵI)=𝑑ψ¯𝑑ψeψ¯a(M2)abψb+ϵψ¯aψa\det(M^{2}+\epsilon I)=\int d{\bar{\psi}}d\psi\,e^{{\bar{\psi}}_{a}(M^{2})_{ab}\psi_{b}+\epsilon{\bar{\psi}}_{a}\psi_{a}} by introducing a fermion pair, ψ¯{\bar{\psi}} and ψ\psi [25]. However, the exponent of this expression contains CC in a quadratic manner (see (3)) and is difficult to handle when we perform an integration over CC as will be done below. Therefore, as was done previously in [17], we introduce another fermion pair, φ¯,φ\bar{\varphi},{\varphi}, to rewrite the exponent in a form linear in CC:

det(M2+ϵI)=(1)N𝑑ψ¯𝑑ψ𝑑φ¯𝑑φeφ¯φψ¯Mφφ¯Mψ+ϵψ¯ψ,\displaystyle\det(M^{2}+\epsilon I)=(-1)^{N}\int d{\bar{\psi}}d\psi d\bar{\varphi}d{\varphi}\,e^{-\bar{\varphi}{\varphi}-{\bar{\psi}}M{\varphi}-\bar{\varphi}M\psi+\epsilon{\bar{\psi}}\psi}, (9)

where the contracted indices are suppressed for brevity: φ¯φ=φ¯aφa\bar{\varphi}{\varphi}=\bar{\varphi}_{a}{\varphi}_{a}, ψ¯Mφ=ψ¯aMabφb{\bar{\psi}}M{\varphi}={\bar{\psi}}_{a}M_{ab}{\varphi}_{b}, and so on. The equality can be shown by noting that φ¯φ+ψ¯Mφ+φ¯Mψ=(φ¯+ψ¯M)(φ+Mψ)ψ¯M2ψ\bar{\varphi}{\varphi}+{\bar{\psi}}M{\varphi}+\bar{\varphi}M\psi=(\bar{\varphi}+{\bar{\psi}}M)({\varphi}+M\psi)-{\bar{\psi}}M^{2}\psi. In a similar manner we obtain

1det(M2+ϵI)=πN2N𝑑ϕ𝑑σeσ22iσMϕϵϕ2,\displaystyle\frac{1}{\sqrt{\det(M^{2}+\epsilon I)}}=\pi^{-N}\int_{\mathbb{R}^{2N}}d\phi d\sigma\,e^{-\sigma^{2}-2i\sigma M\phi-\epsilon\phi^{2}}, (10)

where σ\sigma is a new bosonic variable, and σ2=σaσa\sigma^{2}=\sigma_{a}\sigma_{a}, and so on.

By using (8), (9), (10) and a well-known formula, 𝑑xeipx=2πδ(p)\int_{\mathbb{R}}dx\,e^{ipx}=2\pi\delta(p), (4) with (2) can be rewritten as

ρ(v)=limϵ+0A1(2π)NπN(1)N𝑑C𝑑λ𝑑ϕ𝑑σ𝑑ψ¯𝑑ψ𝑑φ¯𝑑φeS1,\displaystyle\rho(v)=\lim_{\epsilon\rightarrow+0}A^{-1}(2\pi)^{-N}\pi^{-N}(-1)^{N}\int dCd\lambda d\phi d\sigma d{\bar{\psi}}d\psi d\bar{\varphi}d{\varphi}\,e^{S_{1}}, (11)

where

S1=αC2+iλa(vaCabcvbvc)σ22iσMϕϵϕ2φ¯φψ¯Mφφ¯Mψ+ϵψ¯ψ\displaystyle S_{1}=-\alpha C^{2}+i\lambda_{a}(v_{a}-C_{abc}v_{b}v_{c})-\sigma^{2}-2i\sigma M\phi-\epsilon\phi^{2}-\bar{\varphi}{\varphi}-{\bar{\psi}}M{\varphi}-\bar{\varphi}M\psi+\epsilon{\bar{\psi}}\psi (12)

with a new bosonic variable λa(a=1,2,,N)\lambda_{a}\ (a=1,2,\ldots,N) to rewrite the δ\delta-functions.

Next, let us perform the integrations over CC and λ\lambda in the expression (11). Let us first consider CC. The terms containing CC in (12) are

SC=αC2iCabcλavbvc+4iCabcvaσbϕc+2Cabcvaψ¯bφc+2Cabcvaφ¯bψc.\displaystyle S_{C}=-\alpha C^{2}-i\,C_{abc}\lambda_{a}v_{b}v_{c}+4iC_{abc}v_{a}\sigma_{b}\phi_{c}+2C_{abc}v_{a}{\bar{\psi}}_{b}{\varphi}_{c}+2C_{abc}v_{a}\bar{\varphi}_{b}\psi_{c}. (13)

Then we obtain

#C𝑑CeSC=AeδSC,\displaystyle\int_{\mathbb{R}^{\#C}}dC\,e^{S_{C}}=A\,e^{\delta S_{C}}, (14)

where

δSC=1α(16s(i2λsavsbvsc+2ivsaσsbϕsc+vsaψ¯sbφsc+vsaφ¯sbψsc))2,\displaystyle\delta S_{C}=\frac{1}{\alpha}\left(\frac{1}{6}\sum_{s}\left(-\frac{i}{2}\lambda_{s_{a}}v_{s_{b}}v_{s_{c}}+2iv_{s_{a}}\sigma_{s_{b}}\phi_{s_{c}}+v_{s_{a}}{\bar{\psi}}_{s_{b}}{\varphi}_{s_{c}}+v_{s_{a}}\bar{\varphi}_{s_{b}}\psi_{s_{c}}\right)\right)^{2}, (15)

where the summation is over all the permutations of a,b,ca,b,c, which is necessary because CC is a symmetric tensor. By explicitly expanding (15), we obtain

δSC=|v|412αλaBabλbiλa(Da+D~a)+E1+E2+E3,\displaystyle\begin{split}\delta S_{C}&=-\frac{|v|^{4}}{12\alpha}\lambda_{a}B_{ab}\lambda_{b}-i\lambda_{a}(D_{a}+\tilde{D}_{a})+E_{1}+E_{2}+E_{3},\end{split} (16)

where

Bab=δab+2v^av^b=Iab+3Iab,Da=|v|33α(ψ¯φ+φ¯ψ)v^a+|v|33α(ψ¯aφ+ψ¯φa+φ¯aψ+φ¯ψa),D~a=2iαvbvc16svsaσsbϕsc,E1=1α(16s(ψ¯saφsbvsc+φ¯saψsbvsc))2,E2=4α(16svsaσsbϕsc)2,E3=4iα(vaψ¯bφc+vaφ¯bψc)16svsaσsbϕsc.\displaystyle\begin{split}B_{ab}&=\delta_{ab}+2\hat{v}_{a}\hat{v}_{b}=I_{\perp\,ab}+3I_{\parallel\,ab},\\ D_{a}&=\frac{|v|^{3}}{3\alpha}\left({\bar{\psi}}_{\parallel}{\varphi}_{\parallel}{}+\bar{\varphi}_{\parallel}\psi_{\parallel}{}\right)\hat{v}_{a}+\frac{|v|^{3}}{3\alpha}\left({\bar{\psi}}_{a}{\varphi}_{\parallel}{}+{\bar{\psi}}_{\parallel}{\varphi}_{a}+\bar{\varphi}_{a}\psi_{\parallel}{}+\bar{\varphi}_{\parallel}\psi_{a}\right),\\ \tilde{D}_{a}&=\frac{2i}{\alpha}v_{b}v_{c}\cdot\frac{1}{6}\sum_{s}v_{s_{a}}\sigma_{s_{b}}\phi_{s_{c}},\\ E_{1}&=\frac{1}{\alpha}\left(\frac{1}{6}\sum_{s}\left({\bar{\psi}}_{s_{a}}{\varphi}_{s_{b}}v_{s_{c}}+\bar{\varphi}_{s_{a}}\psi_{s_{b}}v_{s_{c}}\right)\right)^{2},\\ E_{2}&=-\frac{4}{\alpha}\left(\frac{1}{6}\sum_{s}v_{s_{a}}\sigma_{s_{b}}\phi_{s_{c}}\right)^{2},\\ E_{3}&=\frac{4i}{\alpha}(v_{a}{\bar{\psi}}_{b}{\varphi}_{c}+v_{a}\bar{\varphi}_{b}\psi_{c})\cdot\frac{1}{6}\sum_{s}v_{s_{a}}\sigma_{s_{b}}\phi_{s_{c}}.\end{split} (17)

Here v^=v/|v|\hat{v}=v/|v|, and ψ¯=ψ¯av^a{\bar{\psi}}_{\parallel}=\bar{\psi}_{a}\hat{v}_{a}, etc., and II_{\parallel} and II_{\perp} are respectively the projection matrices to the parallel and transverse subspaces to v^\hat{v}.

Next let us perform the integration over λ\lambda. Picking up the terms containing λ\lambda (with no CC) in (12) and (16), we obtain

Sλ=|v|412αλaBabλb+iλa(vaDaD~a).\displaystyle S_{\lambda}=-\frac{|v|^{4}}{12\alpha}\lambda_{a}B_{ab}\lambda_{b}+i\lambda_{a}(v_{a}-D_{a}-\tilde{D}_{a}). (18)

Considering that BB is a sum of the projection matrices as in (17), we obtain

N𝑑λeSλ=|v|2N(12πα)N2(detB)12eδSλ,\displaystyle\int_{\mathbb{R}^{N}}d\lambda\,e^{S_{\lambda}}=|v|^{-2N}(12\pi\alpha)^{\frac{N}{2}}(\det B)^{-\frac{1}{2}}e^{\delta S_{\lambda}}, (19)

where detB=3\det B=3 from (17), and

δSλ=3α|v|4(vDD~)aBab1(vDD~)b=α|v|2+2α|v|3D+2α|v|3D~3α|v|4(DD+13D2+2DD~+D~2+23DD~+13D~2).\displaystyle\begin{split}\delta S_{\lambda}&=-3\alpha|v|^{-4}(v-D-\tilde{D})_{a}B^{-1}_{ab}(v-D-\tilde{D})_{b}\\ &=-\alpha|v|^{-2}+2\alpha|v|^{-3}D_{\parallel}+2\alpha|v|^{-3}\tilde{D}_{\parallel}\\ &\ \ \ \ -3\alpha|v|^{-4}\left(D_{\perp}\cdot D_{\perp}+\frac{1}{3}D_{\parallel}^{2}+2D_{\perp}\cdot\tilde{D}_{\perp}+\tilde{D}_{\perp}^{2}+\frac{2}{3}D_{\parallel}\tilde{D}_{\parallel}+\frac{1}{3}\tilde{D}_{\parallel}^{2}\right).\end{split} (20)

Here we have used B1=I+13IB^{-1}=I_{\perp}+\frac{1}{3}I_{\parallel}, and DD~=DaD~aD_{\perp}\cdot\tilde{D}_{\perp}=D_{\perp\,a}\tilde{D}_{\perp\,a}, and so on, where X(X=D,D~)X_{\perp}\ (X=D,\tilde{D}) denotes vector XX projected to the transverse subspace to v^\hat{v}. From (17) the projections of DD and D~\tilde{D} are more explicitly given by

D=|v|3α(ψ¯φ+φ¯ψ),D=|v|33α(ψ¯φ+ψ¯φ+φ¯ψ+φ¯ψ),D~=2i|v|3ασϕ,D~=2i|v|33α(σϕ+σϕ).\displaystyle\begin{split}D_{\parallel}&=\frac{|v|^{3}}{\alpha}\left({\bar{\psi}}_{\parallel}{\varphi}_{\parallel}+\bar{\varphi}_{\parallel}\psi_{\parallel}\right),\\ D_{\perp}&=\frac{|v|^{3}}{3\alpha}\left(\bar{\psi}_{\perp}{\varphi}_{\parallel}+{\bar{\psi}}_{\parallel}\varphi_{\perp}{}+\bar{\varphi}_{\perp}\psi_{\parallel}{}+\bar{\varphi}_{\parallel}\psi_{\perp}\right),\\ \tilde{D}_{\parallel}&=\frac{2i|v|^{3}}{\alpha}\sigma_{\parallel}\phi_{\parallel},\\ \tilde{D}_{\perp}&=\frac{2i|v|^{3}}{3\alpha}\left(\sigma_{\parallel}\phi_{\perp}+\sigma_{\perp}\phi_{\parallel}\right).\end{split} (21)

The first term in the second line of (20) is a constant contribution to the potential. The second and the third terms in the same line are corrections to the kinetic terms of the parallel components of the fermions and the bosons, respectively. The other terms describe the four-interaction terms among the bosons and the fermions. Collecting the results above, we obtain the following intermediate expression,

ρ(v)=limϵ+03N12π3N2αN2|v|2Neα|v|2(1)N𝑑ϕ𝑑σ𝑑ψ¯𝑑ψ𝑑φ¯𝑑φeK~F+K~B+V~F+V~B+V~BF,\displaystyle\rho(v)=\lim_{\epsilon\rightarrow+0}3^{\frac{N-1}{2}}\pi^{-\frac{3N}{2}}\alpha^{\frac{N}{2}}|v|^{-2N}e^{-\frac{\alpha}{|v|^{2}}}(-1)^{N}\int d\phi d\sigma d{\bar{\psi}}d\psi d\bar{\varphi}d{\varphi}\,e^{\tilde{K}_{F}+\tilde{K}_{B}+\tilde{V}_{F}+\tilde{V}_{B}+\tilde{V}_{BF}}, (22)

where

K~F=φ¯φψ¯φφ¯ψ+ϵψ¯ψφ¯φ+ψ¯φ+φ¯ψ+ϵψ¯ψ,K~B=σ22iσϕϵϕ2σ2+2iσϕϵϕ2,V~F=E13α|v|4(DD+13D2),V~B=E23α|v|4(D~2+13D~2),V~BF=E33α|v|4(2DD~+23DD~).\displaystyle\begin{split}\tilde{K}_{F}&=-\bar{\varphi}_{\perp}\cdot\varphi_{\perp}-\bar{\psi}_{\perp}\cdot\varphi_{\perp}-\bar{\varphi}_{\perp}\cdot\psi_{\perp}+\epsilon\bar{\psi}_{\perp}\cdot\psi_{\perp}-\bar{\varphi}_{\parallel}{\varphi}_{\parallel}+{\bar{\psi}}_{\parallel}{\varphi}_{\parallel}+\bar{\varphi}_{\parallel}\psi_{\parallel}+\epsilon{\bar{\psi}}_{\parallel}\psi_{\parallel},\\ \tilde{K}_{B}&=-{\sigma_{\perp}}^{2}-2i{\sigma_{\perp}}\cdot{\phi_{\perp}}-\epsilon{\phi_{\perp}}^{2}-{\sigma_{\parallel}}^{2}+2i{\sigma_{\parallel}}{\phi_{\parallel}}-\epsilon{\phi_{\parallel}}^{2},\\ \tilde{V}_{F}&=E_{1}-3\alpha|v|^{-4}\left(D_{\perp}\cdot D_{\perp}+\frac{1}{3}D_{\parallel}^{2}\right),\\ \tilde{V}_{B}&=E_{2}-3\alpha|v|^{-4}\left(\tilde{D}_{\perp}^{2}+\frac{1}{3}\tilde{D}_{\parallel}^{2}\right),\\ \tilde{V}_{BF}&=E_{3}-3\alpha|v|^{-4}\left(2D_{\perp}\cdot\tilde{D}_{\perp}+\frac{2}{3}D_{\parallel}\tilde{D}_{\parallel}\right).\end{split} (23)

Here K~F,V~F\tilde{K}_{F},\tilde{V}_{F} contain only the fermions, K~B,V~B\tilde{K}_{B},\tilde{V}_{B} only the bosons, and V~BF\tilde{V}_{BF} is a mixture. Note that the quadratic terms of the parallel components in K~F\tilde{K}_{F} and K~B\tilde{K}_{B} have been corrected by the aforementioned terms from the second line of (20).

Now we want to compute V~B,V~F,V~BF\tilde{V}_{B},\tilde{V}_{F},\tilde{V}_{BF} more explicitly. The computation of V~F\tilde{V}_{F} in (23) is essentially the same as the derivation of the four-fermi interaction terms in [17] for R=1R=1. By noting that two of the terms in [17] do not appear, because ψ¯ψ¯=φ¯φ¯=0\bar{\psi}_{\perp}\cdot\bar{\psi}_{\perp}=\bar{\varphi}_{\perp}\cdot\bar{\varphi}_{\perp}=0 (for R=1R=1), we obtain

V~F=|v|26α((ψ¯φ)2+(φ¯ψ)2+2ψ¯φ¯φψ+2ψ¯ψφ¯φ).\displaystyle\begin{split}\tilde{V}_{F}&=-\frac{|v|^{2}}{6\alpha}\left((\bar{\psi}_{\perp}\cdot\varphi_{\perp})^{2}+(\bar{\varphi}_{\perp}\cdot\psi_{\perp})^{2}+2\bar{\psi}_{\perp}\cdot\bar{\varphi}_{\perp}\varphi_{\perp}\cdot\psi_{\perp}+2\bar{\psi}_{\perp}\cdot\psi_{\perp}{}\bar{\varphi}_{\perp}\cdot\varphi_{\perp}{}\right).\end{split} (24)

What seems surprising in this expression is that the parallel components of the fermions cancel out from the interactions after all.

As for V~B\tilde{V}_{B} and V~BF\tilde{V}_{BF} in (23), by using the results of the computations of E2E_{2} and E3E_{3} in Appendix A, we obtain

V~B=2|v|23α(σ2ϕ2+(σϕ)2),V~BF=2i|v|23α(ψ¯σφϕ+φ¯σψϕ+ψ¯ϕφσ+φ¯ϕψσ).\displaystyle\begin{split}\tilde{V}_{B}&=-\frac{2|v|^{2}}{3\alpha}\left({\sigma_{\perp}}^{2}{\phi_{\perp}}^{2}+({\sigma_{\perp}}\cdot{\phi_{\perp}})^{2}\right),\\ \tilde{V}_{BF}&=\frac{2i|v|^{2}}{3\alpha}\left(\bar{\psi}_{\perp}\cdot{\sigma_{\perp}}\,\varphi_{\perp}\cdot{\phi_{\perp}}+\bar{\varphi}_{\perp}\cdot{\sigma_{\perp}}\,\psi_{\perp}\cdot{\phi_{\perp}}+\bar{\psi}_{\perp}\cdot{\phi_{\perp}}\,\varphi_{\perp}\cdot{\sigma_{\perp}}+\bar{\varphi}_{\perp}\cdot{\phi_{\perp}}\,\psi_{\perp}\cdot{\sigma_{\perp}}\right).\end{split} (25)

We again find the surprising fact that no parallel components appear in V~B\tilde{V}_{B} and V~BF\tilde{V}_{BF}.

Because the parallel components only exist in K~B,K~F\tilde{K}_{B},\tilde{K}_{F} and do not interact, these can trivially be integrated out, that generates the overall factors of π\pi and 1-1 for the bosons and fermions, respectively. Therefore we finally obtain

ρ(v)=limϵ+03N12π3N2+1αN2|v|2Neα|v|2(1)N1𝑑ϕ𝑑σ𝑑ψ¯𝑑ψ𝑑φ¯𝑑φeK~F+K~B+V~F+V~B+V~BF,\displaystyle\rho(v)=\lim_{\epsilon\rightarrow+0}3^{\frac{N-1}{2}}\pi^{-\frac{3N}{2}+1}\alpha^{\frac{N}{2}}|v|^{-2N}e^{-\frac{\alpha}{|v|^{2}}}(-1)^{N-1}\int d{\phi_{\perp}}d{\sigma_{\perp}}d\bar{\psi}_{\perp}d\psi_{\perp}d\bar{\varphi}_{\perp}d\varphi_{\perp}\,e^{\tilde{K}^{\perp}_{F}+\tilde{K}^{\perp}_{B}+\tilde{V}_{F}+\tilde{V}_{B}+\tilde{V}_{BF}}, (26)

where

K~F=φ¯φψ¯φφ¯ψ+ϵψ¯ψ,K~B=σ22iσϕϵϕ2,\displaystyle\begin{split}\tilde{K}^{\perp}_{F}&=-\bar{\varphi}_{\perp}\cdot\varphi_{\perp}-\bar{\psi}_{\perp}\cdot\varphi_{\perp}-\bar{\varphi}_{\perp}\cdot\psi_{\perp}+\epsilon\bar{\psi}_{\perp}\cdot\psi_{\perp},\\ \tilde{K}^{\perp}_{B}&=-{\sigma_{\perp}}^{2}-2i{\sigma_{\perp}}\cdot{\phi_{\perp}}-\epsilon{\phi_{\perp}}^{2},\end{split} (27)

and V~F,V~B,V~BF\tilde{V}_{F},\tilde{V}_{B},\tilde{V}_{BF} are given in (24) and (25).

4 Integrations over fermions

In the expression (26) the variables projected to the transverse directions, i.e., ψ¯{\bar{\psi}}_{\perp}, etc., just represent N1N-1-dimensional degrees of freedom with no other restrictions. Therefore we can simply regard them as N1N-1-dimensional variables from the beginning. The external variable, the vector vv, only appears in the coupling constants of the four-interactions through |v||v|. Therefore we can simply write

ρ(v)=limϵ+03N12π3N2+1αN2|v|2Neα|v|2(1)N1N𝑑ϕ𝑑σ𝑑ψ¯𝑑ψ𝑑φ¯𝑑φeKF+KB+VF+VB+VBF,\displaystyle\rho(v)=\lim_{\epsilon\rightarrow+0}3^{\frac{N-1}{2}}\pi^{-\frac{3N}{2}+1}\alpha^{\frac{N}{2}}|v|^{-2N}e^{-\frac{\alpha}{|v|^{2}}}(-1)^{N-1}\int_{N^{*}}d\phi d\sigma d{\bar{\psi}}d\psi d\bar{\varphi}d{\varphi}\,e^{K_{F}+K_{B}+V_{F}+V_{B}+V_{BF}}, (28)

where all the variables are N1N-1-dimensional, and

KF=φ¯φψ¯φφ¯ψ+ϵψ¯ψ,KB=σ22iσϕϵϕ2,VF=|v|26α((ψ¯φ)2+(φ¯ψ)2+2ψ¯φ¯φψ+2ψ¯ψφ¯φ),VB=2|v|23α(σ2ϕ2+(σϕ)2),VBF=2i|v|23α(ψ¯σφϕ+φ¯σψϕ+ψ¯ϕφσ+φ¯ϕψσ).\displaystyle\begin{split}K_{F}&=-\bar{\varphi}\cdot{\varphi}-{\bar{\psi}}\cdot{\varphi}-\bar{\varphi}\cdot\psi+\epsilon{\bar{\psi}}\cdot\psi,\\ K_{B}&=-\sigma^{2}-2i\sigma\cdot\phi-\epsilon\phi^{2},\\ V_{F}&=-\frac{|v|^{2}}{6\alpha}\left(({\bar{\psi}}\cdot{\varphi})^{2}+(\bar{\varphi}\cdot\psi)^{2}+2{\bar{\psi}}\cdot\bar{\varphi}\,{\varphi}\cdot\psi+2{\bar{\psi}}\cdot\psi\,\bar{\varphi}\cdot{\varphi}{}\right),\\ V_{B}&=-\frac{2|v|^{2}}{3\alpha}\left(\sigma^{2}\phi^{2}+(\sigma\cdot\phi)^{2}\right),\\ V_{BF}&=\frac{2i|v|^{2}}{3\alpha}\left({\bar{\psi}}\cdot\sigma\,{\varphi}\cdot\phi+\bar{\varphi}\cdot\sigma\,\psi\cdot\phi+{\bar{\psi}}\cdot\phi\,{\varphi}\cdot\sigma+\bar{\varphi}\cdot\phi\,\psi\cdot\sigma\right).\end{split} (29)

Note that, for simplicity, we are abusively using the same notations of the variables as those in Section 3 with a different dimension, and, to indicate this difference, the symbol NN^{*} is attached to the integral symbol in (28).

To compute ρ(v)\rho(v) explicitly, we first perform the fermionic integrations. The integrand in (28) can be expanded in the fermions. A useful property in this expansion is that the expansion in VBFV_{BF} stops at the fourth order:

eVBF=n=041n!(VBF)n.\displaystyle e^{V_{BF}}=\sum_{n=0}^{4}\frac{1}{n!}\left(V_{BF}\right)^{n}. (30)

This can be proven as follows. The fermions in VBFV_{BF} are projected to ϕ\phi or σ\sigma. Therefore VBFV_{BF} contains only eight independent fermions in total, i.e., ψ¯ϕ,ψ¯σ,ψϕ,ψσ,φ¯ϕ,φ¯σ,φϕ,φσ{\bar{\psi}}\cdot\phi,{\bar{\psi}}\cdot\sigma,\psi\cdot\phi,\psi\cdot\sigma,\bar{\varphi}\cdot\phi,\bar{\varphi}\cdot\sigma,{\varphi}\cdot\phi,{\varphi}\cdot\sigma. Since each term of VBFV_{BF} contains two of these fermions and products of more than eight of these fermions vanish, we obtain

(VBF)n=0 for n>4.\displaystyle(V_{BF})^{n}=0\hbox{ for }n>4. (31)

We also notice that, when σ=±ϕ\sigma=\pm\phi, only four of these fermions are independent. Therefore,

(VBF)n=0 for n>2, when σ=±ϕ.\displaystyle(V_{BF})^{n}=0\hbox{ for }n>2,\hbox{ when }\sigma=\pm\phi. (32)

Now we want to determine the functional forms of the fermionic integrals of each summand in (30):

βn=(1)N1n!N𝑑ψ¯𝑑ψ𝑑φ¯𝑑φ(VBF)neKF+VF(n4).\displaystyle\beta_{n}=\frac{(-1)^{N-1}}{n!}\int_{N^{*}}d{\bar{\psi}}d\psi d\bar{\varphi}d{\varphi}\,(V_{BF})^{n}e^{K_{F}+V_{F}}\ \ \ (n\leq 4). (33)

From the form of VBFV_{BF} and the O(N1)O(N-1) symmetry, βn\beta_{n} should be a polynomial function of σ2,ϕ2,σϕ\sigma^{2},\phi^{2},\sigma\cdot\phi, and its order in σ,ϕ\sigma,\phi should be 2n2n. In addition, each term of the polynomial function should contain equal numbers of σ\sigma and ϕ\phi, and the polynomial function should also be invariant under the interchange σϕ\sigma\leftrightarrow\phi as a whole.

From the above considerations, we uniquely obtain for n=1n=1

β1=a1σϕ.\displaystyle\beta_{1}=a_{1}\sigma\cdot\phi. (34)

Here a1a_{1} is a function of ϵ\epsilon and |v|2/α|v|^{2}/\alpha, and all aia_{i} below are also so.

For n=2n=2, we have two possibilities,

β2=a2(σϕ)2+a3σ2ϕ2.\displaystyle\beta_{2}=a_{2}(\sigma\cdot\phi)^{2}+a_{3}\sigma^{2}\phi^{2}. (35)

As for n=3n=3, β3\beta_{3} must vanish for σ=±ϕ\sigma=\pm\phi due to (32). Considering also the other conditions mentioned above, we uniquely obtain

β3\displaystyle\beta_{3} =a4(σ2ϕ2σϕ(σϕ)3).\displaystyle=a_{4}\left(\sigma^{2}\phi^{2}\sigma\cdot\phi-(\sigma\cdot\phi)^{3}\right). (36)

As for n=4n=4, we need not only (32) but also the following property: Taking the derivatives of (VBF)4(V_{BF})^{4} with respect to σ,ϕ\sigma,\phi three times or less must vanish, when σ=±ϕ\sigma=\pm\phi. This can be proven as follows. Obviously, (VBF)4(V_{BF})^{4} is proportional to the product of the eight projected fermions, ψ¯ϕ,ψ¯σ,{\bar{\psi}}\cdot\phi,{\bar{\psi}}\cdot\sigma,\ldots. After taking the derivatives of this three times or less with respect to σ,ϕ\sigma,\phi, each term contains at least five of the eight projected fermions. Therefore all these terms vanish for σ=±ϕ\sigma=\pm\phi because of the same reason for (32). Now using this property, we can uniquely determine

β4=a5(σ2ϕ2(σϕ)2)2.\displaystyle\beta_{4}=a_{5}\left(\sigma^{2}\phi^{2}-(\sigma\cdot\phi)^{2}\right)^{2}. (37)

Collecting all the results above, we conclude that the fermionic integrations of the partition function has the following general form,

N𝑑ψ¯𝑑ψ𝑑φ¯𝑑φeKF+VF+VBF=a0+a1σϕ+a2(σϕ)2+a3σ2ϕ2+a4(σ2ϕ2σϕ(σϕ)3)+a5(σ2ϕ2(σϕ)2)2.\displaystyle\begin{split}&\int_{N^{*}}d{\bar{\psi}}d\psi d\bar{\varphi}d{\varphi}\,e^{K_{F}+V_{F}+V_{BF}}\\ &=a_{0}+a_{1}\sigma\cdot\phi+a_{2}(\sigma\cdot\phi)^{2}+a_{3}\sigma^{2}\phi^{2}+a_{4}\left(\sigma^{2}\phi^{2}\sigma\cdot\phi-(\sigma\cdot\phi)^{3}\right)+a_{5}\left(\sigma^{2}\phi^{2}-(\sigma\cdot\phi)^{2}\right)^{2}.\end{split} (38)

Here aia_{i} are generally functions of ϵ\epsilon and |v|2/α|v|^{2}/\alpha, but ϵ\epsilon in them turn out to simply disappear in the ϵ+0\epsilon\rightarrow+0 limit in (28) without any essential roles. Therefore in the following sections we ignore it by just putting ϵ=0\epsilon=0 in aia_{i}.

5 Integrations over bosons

Assuming the form (38) of the fermionic integrations, we perform the bosonic integrations but one in this section.

Let us first generalize the bosonic kinetic term by introducing new parameters ϵi(i=1,2,3)\epsilon_{i}\ (i=1,2,3):

KBϵ=ϵ1σ22iϵ2σϕϵ3ϕ2,\displaystyle K^{\epsilon}_{B}=-\epsilon_{1}\sigma^{2}-2i\epsilon_{2}\,\sigma\cdot\phi-\epsilon_{3}\phi^{2}, (39)

where ϵ1,ϵ3>0\epsilon_{1},\epsilon_{3}>0 are assumed for the convergence of the bosonic integration. The original kinetic term in (29) corresponds to ϵ1=ϵ2=1,ϵ3=ϵ\epsilon_{1}=\epsilon_{2}=1,\ \epsilon_{3}=\epsilon.

Using this new kinetic term, (28), and (38), ρ(v)\rho(v) can be expressed as

ρ(v)=3N12π3N2+1αN2|v|2Neα|v|2GN,\displaystyle\begin{split}&\rho(v)=3^{\frac{N-1}{2}}\pi^{-\frac{3N}{2}+1}\alpha^{\frac{N}{2}}|v|^{-2N}e^{-\frac{\alpha}{|v|^{2}}}\,G_{N},\end{split} (40)

where

GN=(a0+a1D2+a2D22+a3D1+a4(D1D2D23)+a5(D1D22)2)N𝑑σ𝑑ϕeKBϵ+VB|ϵ1=ϵ2=1ϵ3=+0,\displaystyle\begin{split}G_{N}=\left(a_{0}+a_{1}D_{2}+a_{2}D_{2}^{2}+a_{3}D_{1}+a_{4}(D_{1}D_{2}-D_{2}^{3})+a_{5}(D_{1}-D_{2}^{2})^{2}\right)\left.\int_{N^{*}}d\sigma d\phi\,e^{K^{\epsilon}_{B}+V_{B}}\right|_{\epsilon_{1}=\epsilon_{2}=1\atop\epsilon_{3}=+0},\end{split} (41)

with D1,D2D_{1},D_{2} being the following partial derivative operators,

D1=2ϵ1ϵ3,D2=12iϵ2.\displaystyle\begin{split}D_{1}&=\frac{\partial^{2}}{\partial\epsilon_{1}\partial\epsilon_{3}},\\ D_{2}&=-\frac{1}{2i}\frac{\partial}{\partial\epsilon_{2}}.\end{split} (42)

The bosonic integration in (41) does not seem to be fully integrable, but it has a simpler expression. Since σ\sigma appears at most quadratically in KBϵ+VBK_{B}^{\epsilon}+V_{B}, the σ\sigma integration can be performed:

N𝑑σeKBϵ+VB=πN12(ϵ1+8zϕ2)12(ϵ1+4zϕ2)N22exp((ϵ22+ϵ3(ϵ1+8zϕ2))ϕ2ϵ1+8zϕ2),\displaystyle\int_{N^{*}}d\sigma\,e^{K^{\epsilon}_{B}+V_{B}}=\pi^{\frac{N-1}{2}}(\epsilon_{1}+8z\phi^{2})^{-\frac{1}{2}}(\epsilon_{1}+4z\phi^{2})^{\frac{N-2}{2}}\exp\left(-\frac{(\epsilon_{2}^{2}+\epsilon_{3}(\epsilon_{1}+8z\phi^{2}))\phi^{2}}{\epsilon_{1}+8z\phi^{2}}\right), (43)

where for brevity we have introduced

z=|v|26α.\displaystyle\begin{split}z=\frac{|v|^{2}}{6\alpha}.\end{split} (44)

(43) does not depend on the angular directions of ϕ\phi, and therefore the integration over these produces the spherical volume, 2π(N1)/2|ϕ|N2/Γ[(N1)/2]2\pi^{(N-1)/2}|\phi|^{N-2}/\Gamma[(N-1)/2]. Then, after applying the derivative operators in (41) and performing a replacement of variable, |ϕ|=x/18zx|\phi|=\sqrt{x}/\sqrt{1-8zx}, we obtain

GN=πN14Γ[N12]018zdxexxN32(14zx)N+22(4a0+2(2ia1+a2+(N1)a3)x+(8iza1(3+4z)(a2+a3)i(N2)a4)x2+8z(a2+a3)x3),\displaystyle\begin{split}G_{N}=\frac{\pi^{N-1}}{4\,\Gamma\left[\frac{N-1}{2}\right]}\int_{0}^{\frac{1}{8z}}&dx\,e^{-x}x^{\frac{N-3}{2}}(1-4zx)^{-\frac{N+2}{2}}\\ &\cdot(4a_{0}+2(-2ia_{1}+a_{2}+(N-1)a_{3})x\\ &\ \ \ +(8iza_{1}-(3+4z)(a_{2}+a_{3})-i(N-2)a_{4})x^{2}+8z(a_{2}+a_{3})x^{3}),\end{split} (45)

where we have used

64z2a08iza1+(4z1)a2+(14z+8(N1)z)a3i(N2)a4+N(N2)a5=0\displaystyle 64z^{2}a_{0}-8iza_{1}+(4z-1)a_{2}+(-1-4z+8(N-1)z)a_{3}-i(N-2)a_{4}+N(N-2)a_{5}=0 (46)

to delete a5a_{5}. As we will see in Section 6, (46) holds for all the cases we consider (namely, N8N\leq 8). In fact this relation is essentially important, because otherwise the integrand has an extra factor 1/(18zx)1/(1-8zx), and the feasibilty of the integration over xx which will be performed in Section 6 would become unclear.

6 Analytic expressions

In this section, we explicitly compute the integration (45) for each case of N8N\leq 8 to obtain exact analytic expressions. What is surprising is that the seemingly difficult integrations can be done explicitly. The apparent reason is that the integrand of (45) turns out to be a sum of a total derivative and a simple integrable function.

6.1 N=1N=1

This case is trivial, since the integration in (28) can just be ignored. We obtain

ρN=1(v)=π12α12|v|2eα|v|2.\displaystyle\rho_{N=1}(v)=\pi^{-\frac{1}{2}}\alpha^{\frac{1}{2}}|v|^{-2}e^{-\frac{\alpha}{|v|^{2}}}. (47)

Since v=1/Cv=1/C for N=1N=1 from (1), ρN=1(v)dv\rho_{N=1}(v)\,dv is indeed equivalent to α1/2π1/2eαC2dC\alpha^{1/2}\pi^{-1/2}e^{-\alpha C^{2}}dC, which is the Gaussian distribution of CC.

6.2 N=2N=2

In this case, since the variables in (28) are all one-dimensional, we can ignore the indices. Then we immediately obtain

VFN=2=4zψ¯ψφ¯φ,VBN=2=8zσ2ϕ2,VBFN=2=8izσϕ(ψ¯φ+φ¯ψ).\displaystyle\begin{split}V^{N=2}_{F}&=-4z\,{\bar{\psi}}\psi\bar{\varphi}{\varphi},\\ V^{N=2}_{B}&=-8z\,\sigma^{2}\phi^{2},\\ V^{N=2}_{BF}&=8iz\,\sigma\phi\left({\bar{\psi}}{\varphi}+\bar{\varphi}\psi\right).\end{split} (48)

Hence, by explicitly expanding the integrand, we obtain,

N𝑑ψ¯𝑑ψ𝑑φ¯𝑑φeKFN=2+VFN=2+VBFN=2=1+4z16izσϕ64z2σ2ϕ2.\displaystyle\int_{N^{*}}d{\bar{\psi}}d\psi d\bar{\varphi}d{\varphi}\,e^{K_{F}^{N=2}+V_{F}^{N=2}+V_{BF}^{N=2}}=1+4z-16iz\sigma\phi-64z^{2}\sigma^{2}\phi^{2}. (49)

This determines

a0=1+4z,a1=16iz,a2=64z2,Others=0,\displaystyle\begin{split}&a_{0}=1+4z,\\ &a_{1}=-16iz,\\ &a_{2}=-64z^{2},\\ &\hbox{Others}=0,\end{split} (50)

by comparing with (38). This indeed satisfies (46). Putting (50) into (45), we obtain

GN=2=π018z𝑑xexx12(1+4z8zx)=π((1+4z)γ[12,18z]8zγ[32,18z])=π(γ[12,18z]+8ze18z),\displaystyle\begin{split}G_{N=2}&=\sqrt{\pi}\int_{0}^{\frac{1}{8z}}dx\,e^{-x}x^{-\frac{1}{2}}(1+4z-8zx)\\ &=\sqrt{\pi}\left((1+4z)\gamma\left[\frac{1}{2},\frac{1}{8z}\right]-8z\gamma\left[\frac{3}{2},\frac{1}{8z}\right]\right)\\ &=\sqrt{\pi}\left(\gamma\left[\frac{1}{2},\frac{1}{8z}\right]+\sqrt{8z}\,e^{-\frac{1}{8z}}\right),\end{split} (51)

where the lower incomplete gamma function γ[,]\gamma[\cdot,\cdot] is defined by

γ[a,y]=0y𝑑tta1et,\displaystyle\gamma\left[a,y\right]=\int_{0}^{y}dt\,t^{a-1}\,e^{-t}, (52)

and we have used its property,

γ[a+1,y]=aγ[a,y]yaey.\displaystyle\gamma\left[a+1,y\right]=a\gamma\left[a,y\right]-y^{a}e^{-y}. (53)

The lower incomplete gamma function with index 1/21/2 in (51) is related to the error function by

γ[12,y]=πerf[y].\displaystyle\gamma\left[\frac{1}{2},y\right]=\sqrt{\pi}\,\hbox{erf}\left[\sqrt{y}\right]. (54)

Therefore, from (44) and (51), GN=2G_{N=2} is represented by a combination of polynomial, exponential, and error functions of |v||v|. This is common to the other cases of NN shown below.

6.3 N=3N=3

The fermionic integration of (38) seems too complicated to perform by hand. Rather, we use a Mathematica package for Grassmann variables [26]. The result is

a0=1+4z+28z2,a1=16i(z+2z2),a2=32(3z2+2z3),a3=32(z2+6z3),a4=256iz3,a5=256z4.\displaystyle\begin{split}a_{0}&=1+4z+28z^{2},\\ a_{1}&=-16i(z+2z^{2}),\\ a_{2}&=-32(3z^{2}+2z^{3}),\\ a_{3}&=-32(-z^{2}+6z^{3}),\\ a_{4}&=-256iz^{3},\\ a_{5}&=256z^{4}.\end{split} (55)

This indeed satisfies (46). Then, by putting this into (45), we obtain

GN=3=π2018zdxex(14zx)52(1+4z+28z216z(1+3z+14z2)x+16z2(5+16z+16z2)x2128z3(1+4z)x3).\displaystyle\begin{split}G_{N=3}=\pi^{2}\int_{0}^{\frac{1}{8z}}dx\,\frac{e^{-x}}{(1-4zx)^{\frac{5}{2}}}\big{(}&1+4z+28z^{2}-16z(1+3z+14z^{2})x\\ &+16z^{2}(5+16z+16z^{2})x^{2}-128z^{3}(1+4z)x^{3}\big{)}.\end{split} (56)

A surprising fact is that the integrand in (56) is actually a total derivative, and we therefore obtain

GN=3=π2018z𝑑xddx(ex(14zx)32(12z4z(3+4z)x+32z2(1+4z)x2))=π2(12z+42ze18z).\displaystyle\begin{split}G_{N=3}&=-\pi^{2}\int_{0}^{\frac{1}{8z}}dx\,\frac{d}{dx}\left(\frac{e^{-x}}{(1-4zx)^{\frac{3}{2}}}\left(1-2z-4z(3+4z)x+32z^{2}(1+4z)x^{2}\right)\right)\\ &=\pi^{2}\left(1-2z+4\sqrt{2}ze^{-\frac{1}{8z}}\right).\end{split} (57)

6.4 Larger odd NN

The strategy taken in Section 6.3 can be generalized for larger odd NN in the following manner. We first compute the ai(i=0,1,,5)a_{i}\,(i=0,1,\ldots,5), which are listed for N=5,7N=5,7 in Appendix B, by using the aforementioned Mathematica package. They indeed satisfy (46). Then, by putting them into (45), we obtain GNG_{N}. Similarly to the case of N=3N=3 in 6.3, what we find is that the integrand of GNG_{N} is a total derivative of the following form for N=5,7N=5,7:

GN:odd=πN14Γ[N12]018z\displaystyle G_{N:{\rm odd}}=\frac{\pi^{N-1}}{4\,\Gamma\left[\frac{N-1}{2}\right]}\int_{0}^{\frac{1}{8z}} dxddxexn=0N+12bnxn(14zx)N2,\displaystyle dx\,\frac{d}{dx}\frac{e^{-x}\sum_{n=0}^{\frac{N+1}{2}}b_{n}x^{n}}{(1-4zx)^{\frac{N}{2}}}, (58)

where bn(n=0,1,,(N+1)/2)b_{n}\,(n=0,1,\ldots,(N+1)/2) are some polynomial functions of zz. The explicit forms of bnb_{n} are given in Appendix B. Therefore, we obtain

GN:odd=πN14Γ[N12](2N2e18zn=0N+12bn(8z)nb0).\displaystyle G_{N:{\rm odd}}=\frac{\pi^{N-1}}{4\,\Gamma\left[\frac{N-1}{2}\right]}\left(2^{\frac{N}{2}}e^{-\frac{1}{8z}}\sum_{n=0}^{\frac{N+1}{2}}\frac{b_{n}}{(8z)^{n}}-b_{0}\right). (59)

By using the bib_{i} in Appendix B, the explicit expressions of GNG_{N} for N=5,7N=5,7 are given by

GN=5=π4(112z+12z2+2e18z(1+12z+12z2)),GN=7=π6(130z+180z2120z3+2e18z8z(1+8z+120z2480z3+2640z4)).\displaystyle\begin{split}G_{N=5}&=\pi^{4}\left(1-12z+12z^{2}+\sqrt{2}e^{-\frac{1}{8z}}(1+12z+12z^{2})\right),\\ G_{N=7}&=\pi^{6}\left(1-30z+180z^{2}-120z^{3}+\frac{\sqrt{2}e^{-\frac{1}{8z}}}{8z}(1+8z+120z^{2}-480z^{3}+2640z^{4})\right).\end{split} (60)

Let us lastly comment on our equipment. The computations were done on a machine which had a Xeon W2295 (3.0GHz, 18 cores), 128GB DDR4 memory, and Ubuntu 20 as OS. The computation of aia_{i} quickly takes longer time as NN becomes larger. GN=8G_{N=8}, which appears in the next subsection, was the largest feasible case, while we failed to obtain GN=9G_{N=9} seemingly because of a memory shortage.

6.5 Larger even NN

The difference from the odd case of Section 6.4 is that the integrand of GNG_{N} is a sum of a total derivative and a simple integrable term:

GN=πN14Γ[N12]018z\displaystyle G_{N}=\frac{\pi^{N-1}}{4\,\Gamma\left[\frac{N-1}{2}\right]}\int_{0}^{\frac{1}{8z}} dx(c0x12ex+ddxx12exn=0N2bnxn(14zx)N2).\displaystyle dx\,\left(c_{0}\,x^{-\frac{1}{2}}e^{-x}+\frac{d}{dx}\frac{x^{\frac{1}{2}}e^{-x}\sum_{n=0}^{\frac{N}{2}}b_{n}x^{n}}{(1-4zx)^{\frac{N}{2}}}\right). (61)

Then, by doing the integration, we obtain

GN=πN14Γ[N12](c0γ[12,18z]+2N2e18zn=0N2bn(8z)n+12).\displaystyle G_{N}=\frac{\pi^{N-1}}{4\,\Gamma\left[\frac{N-1}{2}\right]}\left(c_{0}\gamma\left[\frac{1}{2},\frac{1}{8z}\right]+2^{\frac{N}{2}}e^{-\frac{1}{8z}}\sum_{n=0}^{\frac{N}{2}}\frac{b_{n}}{(8z)^{n+\frac{1}{2}}}\right). (62)

The lists of ai,bi,c0a_{i},b_{i},c_{0} for N=4,6,8N=4,6,8 are given in Appendix C. aia_{i} indeed satisfy (46). By putting the values of bi,c0b_{i},c_{0} we obtain the explicit forms of GNG_{N} as

GN=4=π52(62e18zz(1+2z)+(16z)γ[12,18z]),GN=6=π92(22e18z(1+15z+180z3)3z+(120z+60z2)γ[12,18z]),GN=8=π132(2e18z(1+210z22100z3+12600z4+25200z5)15z32+(142z+420z2840z3)γ[12,18z]).\displaystyle\begin{split}G_{N=4}&=\pi^{\frac{5}{2}}\left(6\sqrt{2}e^{-\frac{1}{8z}}\sqrt{z}(1+2z)+(1-6z)\,\gamma\left[\frac{1}{2},\frac{1}{8z}\right]\right),\\ G_{N=6}&=\pi^{\frac{9}{2}}\left(\frac{2\sqrt{2}e^{-\frac{1}{8z}}(1+15z+180z^{3})}{3\sqrt{z}}+(1-20z+60z^{2})\,\gamma\left[\frac{1}{2},\frac{1}{8z}\right]\right),\\ G_{N=8}&=\pi^{\frac{13}{2}}\Bigg{(}\frac{\sqrt{2}e^{-\frac{1}{8z}}(1+210z^{2}-2100z^{3}+12600z^{4}+25200z^{5})}{15z^{\frac{3}{2}}}\\ &\hskip 113.81102pt+(1-42z+420z^{2}-840z^{3})\,\gamma\left[\frac{1}{2},\frac{1}{8z}\right]\Bigg{)}.\end{split} (63)

7 Comparison with Monte Carlo simulations

In this section, we compare the results in Section 6 with Monte Carlo simulations. The procedure is basically the same as that used in [16, 17]. To make this paper self-contained, however, we review the method below.

The eigenvector equation (1) is a system of polynomial equations and it can be solved by an appropriate polynomial equation solver, unless NN is too large. We use Mathematica 13 for this purpose. It gives generally complex solutions to the equation (1), and we pick up only real ones, since we are only counting real eigenvectors (or Z-eigenvalues). Whether this method covers all the real solutions or not can be checked by whether the number of generally complex solutions obtained for each CC by a polynomial equation solver agrees with the known number 2N12^{N}-1 [23]444In fact, for large NN, Mathematica 13 seems to miss a few solutions for some CC. We have not pursued the reason for that, but the missing portion is 104\sim 10^{-4} even for our largest case of N=16N=16, and is statistically irrelevant in the present study..

With the above method of solving the eigenvector equation (1), our procedure of Monte Carlo simulation is given as follows.

  • Randomly generate a real symmetric tensor CC with components, Cijk=σ/d(i,j,k)(1ijkN)C_{ijk}=\sigma/\sqrt{d(i,j,k)}\ (1\leq i\leq j\leq k\leq N), where σ\sigma has a normal distribution with mean value zero and standard deviation one, and d(i,j,k)d(i,j,k) is a degeneracy factor,

    d(i,j,k)={1,i=j=k3,i=jk,ij=k,k=ij6,ikji.\displaystyle\begin{split}d(i,j,k)=\left\{\begin{array}[]{ll}1,&i=j=k\\ 3,&i=j\neq k,\,i\neq j=k,\,k=i\neq j\\ 6,&i\neq k\neq j\neq i\end{array}\right..\end{split} (64)

    This random generation of CC corresponds to α=1/2\alpha=1/2 in (4), since

    C2=CabcCabc=ijk=1Nd(i,j,k)Cijk2\displaystyle\begin{split}C^{2}=C_{abc}C_{abc}=\sum_{i\leq j\leq k=1}^{N}d(i,j,k)\,C_{ijk}^{2}\end{split} (65)

    due to CC being a symmetric tensor.

  • Compute the real eigenvectors of a generated CC by the aforementioned method.

  • Store each size |v||v| of all the real eigenvectors.

  • Repeat the above processes.

By this procedure, we obtain a sequence of sizes of real eigenvectors, |v|i(i=1,2,,L)|v|_{i}\ (i=1,2,\ldots,L). Then the size distribution of real eigenvectors can be obtained by

ρsizeMC((k+1/2)δv)=1δvNCi=1Lθ(kδv<|v|i(k+1)δv),\displaystyle\rho^{\rm MC}_{\rm size}((k+1/2)\delta v)=\frac{1}{\delta vN_{C}}\sum_{i=1}^{L}\theta(k\delta v<|v|_{i}\leq(k+1)\delta v), (66)

where δv\delta v is a bin size, NCN_{C} is the total number of randomly generated CC, k=0,1,2,k=0,1,2,\ldots, and θ()\theta(\cdot) is a support function which takes 1 if the inequality of the argument is satisfied, but zero otherwise. For the comparison with the analytical results obtained in Section 6, (66) should be compared with the size distribution

ρsize(|v|)=ρ(v)SN1|v|N1,\displaystyle\rho_{\rm size}(|v|)=\rho(v)S_{N-1}|v|^{N-1}, (67)

where SN1=2πN/2/Γ[N/2]S_{N-1}=2\pi^{N/2}/\Gamma[N/2] denotes the surface volume of a unit sphere in an NN-dimensional space, and the vector vv in the argument of ρ()\rho(\cdot) is an arbitrary vector of size |v||v| due to the rotational symmetry.

Since a Z-eigenvalue is related with the size of an eigenvector by the relation (6), the real (or Z-) eigenvalue distribution is given by

ρeigMC((k+1/2)δζ)=1δζNCi=1Lθ(kδζ<1/|v|i(k+1)δζ),\displaystyle\rho^{\rm MC}_{\rm eig}((k+1/2)\delta\zeta)=\frac{1}{\delta\zeta N_{C}}\sum_{i=1}^{L}\theta(k\delta\zeta<1/|v|_{i}\leq(k+1)\delta\zeta), (68)

where δζ\delta\zeta is a bin size. This quantity should be compared with (7).

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Figure 1: The results of the Monte Carlo simulation for N=8,NC=10000N=8,N_{C}=10000 are compared with the analytic expressions. Left: The eigenvector size distribution. The Monte Carlo result (66) with δv=0.03\delta v=0.03 (dots) is compared with (67) using (40) and GN=8G_{N=8} in (63) (solid line). Right: The eigenvalue distribution. The Monte Carlo result (68) with δζ=0.03\delta\zeta=0.03 (dots) is compared with the analytic expression through (7).

In Figure 1, the Monte Carlo results are compared with the analytic expressions for N=8N=8. They agree precisely. Similar precise agreement has been obtained for all N8N\leq 8.

8 Extrapolation to general NN

In this section, we point out a few patterns which exist in the expressions of the distributions derived for small NN in Section 6, and guess an extrapolation to general NN. A motivation for doing this is to improve the large-NN expression previously obtained by an approximation using a Schwinger-Dyson equation [17]. The issue of the previous result was that, while the functional form agreed well with the numerical simulation for large-NN, the overall factor did not. In this section, using the extrapolation, we will guess the overall factor for general NN and find good agreement with Monte Carlo simulations.

After a thought one notices that GNG_{N} for even NN (namely, N=2,4,6,8N=2,4,6,8) in Section 6 can be expressed by the following general form:

GN:even=πN32zN12HN1[12z]γ[12,18z]+2πN32N!N2!zN12e18z(1+d1z+d2z2++dN3zN3),\displaystyle\begin{split}G_{N:{\rm even}}=&\pi^{N-\frac{3}{2}}z^{\frac{N-1}{2}}H_{N-1}\left[\frac{1}{2\sqrt{z}}\right]\gamma\left[\frac{1}{2},\frac{1}{8z}\right]\\ &+\sqrt{2}\pi^{N-\frac{3}{2}}\frac{N!}{\frac{N}{2}!}z^{\frac{N-1}{2}}e^{-\frac{1}{8z}}\left(1+\frac{d_{1}}{z}+\frac{d_{2}}{z^{2}}+\cdots+\frac{d_{N-3}}{z^{N-3}}\right),\end{split} (69)

where Hn[]H_{n}[\cdot] are Hermite polynomials, did_{i} are some coefficients generally depending on NN, and specifically

d1=1+(1)N24.\displaystyle d_{1}=\frac{1+(-1)^{\frac{N}{2}}}{4}. (70)

As for di(i2)d_{i}\ (i\geq 2), we could not find reasonably simple functions of NN.

Let us discuss the real eigenvalue distribution for large-NN, assuming (69) with (70). Because of the relations (6) and (44), and the fact that the major part of the distribution is around ζ0\zeta\sim 0 as in Figure 1, we are interested in a 1/z1/z expansion of (69) with (70). By explicitly doing this one obtains

GN2πN32Γ[N+1]Γ[N2+1]zN12(1+18z+),\displaystyle G_{N}\sim\sqrt{2}\pi^{N-\frac{3}{2}}\frac{\Gamma[N+1]}{\Gamma\left[\frac{N}{2}+1\right]}z^{\frac{N-1}{2}}\left(1+\frac{1}{8z}+\cdots\right), (71)

where the factorials are replaced by Gamma functions to also be applicable for odd NN below. By combining with the previous result in [17] that the large-NN eigenvalue distribution is given by a Gaussian function of |v||v|, one could assume that the expansion in 1/z1/z of (71) comes from the expression,

GN2πN32Γ[N+1]Γ[N2+1]zN12e18z.\displaystyle G_{N}\sim\sqrt{2}\pi^{N-\frac{3}{2}}\frac{\Gamma[N+1]}{\Gamma\left[\frac{N}{2}+1\right]}z^{\frac{N-1}{2}}e^{\frac{1}{8z}}. (72)

Putting this into (7) using (6), (40) and (44), we obtain

ρeig(ζ)2N2+2α12π12Γ[N+1]Γ[N2+1]Γ[N2]eα4ζ2,\displaystyle\rho_{\rm eig}(\zeta)\sim 2^{-\frac{N}{2}+2}\alpha^{\frac{1}{2}}\pi^{-\frac{1}{2}}\frac{\Gamma[N+1]}{\Gamma\left[\frac{N}{2}+1\right]\Gamma\left[\frac{N}{2}\right]}e^{-\frac{\alpha}{4}\zeta^{2}}, (73)

which indeed is a Gaussian distribution. While the coefficient α/4\alpha/4 in the exponent indeed agrees with the previous result in [17], the overall factor is different. By integrating over ζ\zeta, one can obtain the mean total number of real eigenvalues in large-NN as

Mean number of real eigenvalues2N2+2Γ[N+1]Γ[N2+1]Γ[N2].\displaystyle\hbox{Mean number of real eigenvalues}\sim\frac{2^{-\frac{N}{2}+2}\Gamma[N+1]}{\Gamma\left[\frac{N}{2}+1\right]\Gamma\left[\frac{N}{2}\right]}. (74)

In the large-NN limit, this expression indeed agrees with the result given in [20, 13].555 Namely, Eq.(1.2) in [13].

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Figure 2: The guessed large-NN formula (73) (solid line) is compared with the Monte Carlo simulation (68) (dots). Left: N=14,δζ=0.03,NC=400N=14,\delta\zeta=0.03,N_{C}=400. Middle: N=15,δζ=0.06,NC=100N=15,\delta\zeta=0.06,N_{C}=100. Right: N=16,δζ=0.1,NC=72N=16,\delta\zeta=0.1,N_{C}=72.

In Figure 2 we compare the large-NN expression (73) with the Monte Carlo simulations for N=14,15,16N=14,15,16.666With our machine power (See the last part of Section 6.4), it took one full day for the computation of the N=16N=16 case. They agree well, and the agreement seems to become slightly better, as NN becomes larger.

In the above discussion, we have not used the odd NN cases. The reason is that we could not find simple expressions valid across all the odd NN cases obtained in Section 6. We merely notice

GN:odd=πN1zN12HN1(12z)+d0e18z(1+d1z++dN3zN3),\displaystyle G_{N:{\rm odd}}=\pi^{N-1}z^{\frac{N-1}{2}}H_{N-1}\left(\frac{1}{2\sqrt{z}}\right)+d_{0}^{\prime}\,e^{-\frac{1}{8z}}\left(1+\frac{d^{\prime}_{1}}{z}+\cdots+\frac{d^{\prime}_{N-3}}{z^{N-3}}\right), (75)

where we do not have any simple expressions for did^{\prime}_{i}.

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Figure 3: The coefficients e0,e1e_{0},e_{1} of the expansion (76) are plotted against NN. e¯0=2πN3/2Γ[N]/Γ[N/2+1]\bar{e}_{0}=\sqrt{2}\pi^{N-3/2}\Gamma[N]/\Gamma[N/2+1] (see (71)). The values of e0,e1e_{0},e_{1} for odd NN seem to approach those for even NN, as NN becomes larger.

Rather, we find that the large-zz behavior of GN:oddG_{N:{\rm odd}} approaches that of GN:evenG_{N:{\rm even}}, as NN becomes larger. To see this, let us introduce the parameters of the 1/z1/z expansion as

GNe0zN12(1+e1z+).\displaystyle G_{N}\sim e_{0}\,z^{\frac{N-1}{2}}\left(1+\frac{e_{1}}{z}+\cdots\right). (76)

As in (71), for even NN, we have

e0=2πN32Γ[N+1]Γ[N2+1],e1=18.\displaystyle e_{0}=\frac{\sqrt{2}\pi^{N-\frac{3}{2}}\Gamma[N+1]}{\Gamma\left[\frac{N}{2}+1\right]},\ e_{1}=\frac{1}{8}. (77)

In Figure 3, we plot e0,e1e_{0},e_{1} for each NN, which are extracted by performing the 1/z1/z expansions of the explicit expressions in Section 6. Indeed e0,e1e_{0},e_{1} for odd NN seem to approach those for even NN, as NN becomes larger. This implies that the large-NN formula (73) can commonly be used for both even and odd NN.

9 Summary and future prospects

In this paper we have explicitly computed the real eigenvalue/vector distributions for real symmetric order-three tensors with Gaussian distributions for N8N\leq 8. This has been achieved by rewriting the problem as the computation of a partition function of a zero-dimensional boson-fermion system with four-interactions. We have extrapolated the exact expressions for N8N\leq 8 to guess a large-NN expression. Monte Carlo simulations have been performed, and precise agreement and good agreement have been obtained for the exact small-NN expressions and the large-NN expression, respectively.

It seems surprising that the complicated integrations of the partition function can be performed exactly with the final simple results expressed by polynomial, exponential, and error functions. It is suspected that this is true for any NN, but deeper understanding of this aspect needed for such generalization is left for future study. Considering the final simple forms, it would be possible that there exist much easier ways to compute the distributions than what has been done in this paper.

There would exist various directions to pursue by a similar strategy of this paper. One obvious direction is the generalization of tensors to those with different orders and non-Gaussian distributions. It would also be interesting to pursue the possibility of topological changes of the distributions in tensor models as in matrix models. In fact, some tensor systems seemingly suggest such possibilities [27, 28]. It would also be possible to compute correlations among eigenvalues/vectors, and also to incorporate complex eigenvalues/vectors.

Acknowledgements

The author is supported in part by JSPS KAKENHI Grant No.19K03825.

Appendix Appendix A Computations of E2E_{2} and E3E_{3}

From (17),

E2=4αA1,\displaystyle E_{2}=-\frac{4}{\alpha}A_{1}, (A1)

with

A1=(16svsaσsbϕsc)2.\displaystyle A_{1}=\left(\frac{1}{6}\sum_{s}v_{s_{a}}\sigma_{s_{b}}\phi_{s_{c}}\right)^{2}. (A2)

By explicitly writing down the sum and noting that one of the symmetrization is not necessary, we obtain

A1=16vaσbϕc(vaσbϕc+vbσcϕa+vcσaϕb+vbσaϕc+vaσcϕb+vcσbϕa)=16(v2σ2ϕ2+vσσϕϕv+vϕσvϕσ+vσσvϕ2+v2σϕϕσ+vϕσ2ϕv)=|v|26(σ2ϕ2+2ϕσσϕ+σ2ϕ2+ϕ2σ2+(σϕ)2)=|v|26(σ2ϕ2+(ϕσ)2+2σ2ϕ2+2σ2ϕ2+4σϕϕσ+6σ2ϕ2),\displaystyle\begin{split}A_{1}&=\frac{1}{6}v_{a}\sigma_{b}\phi_{c}(v_{a}\sigma_{b}\phi_{c}+v_{b}\sigma_{c}\phi_{a}+v_{c}\sigma_{a}\phi_{b}+v_{b}\sigma_{a}\phi_{c}+v_{a}\sigma_{c}\phi_{b}+v_{c}\sigma_{b}\phi_{a})\\ &=\frac{1}{6}\left(v^{2}\sigma^{2}\phi^{2}+v\cdot\sigma\,\sigma\cdot\phi\,\phi\cdot v+v\cdot\phi\,\sigma\cdot v\,\phi\cdot\sigma+v\cdot\sigma\,\sigma\cdot v\,\phi^{2}+v^{2}\,\sigma\cdot\phi\,\phi\cdot\sigma+v\cdot\phi\,\sigma^{2}\,\phi\cdot v\right)\\ &=\frac{|v|^{2}}{6}\left(\sigma^{2}\phi^{2}+2{\phi_{\parallel}}{\sigma_{\parallel}}\,\sigma\cdot\phi+{\sigma_{\parallel}}^{2}\phi^{2}+{\phi_{\parallel}}^{2}\sigma^{2}+(\sigma\cdot\phi)^{2}\right)\\ &=\frac{|v|^{2}}{6}\left({\sigma_{\perp}}^{2}{\phi_{\perp}}^{2}+({\phi_{\perp}}\cdot{\sigma_{\perp}})^{2}+2{\sigma_{\parallel}}^{2}{\phi_{\perp}}^{2}+2{\sigma_{\perp}}^{2}{\phi_{\parallel}}^{2}+4{\sigma_{\parallel}}{\phi_{\parallel}}\,{\phi_{\perp}}\cdot{\sigma_{\perp}}+6{\sigma_{\parallel}}^{2}{\phi_{\parallel}}^{2}\right),\end{split} (A3)

where we have used vϕ=|v|ϕv\cdot\phi=|v|{\phi_{\parallel}}, etc., and ϕσ=ϕσ+ϕσ\phi\cdot\sigma={\phi_{\parallel}}{\sigma_{\parallel}}+{\phi_{\perp}}\cdot{\sigma_{\perp}}, etc..

Let us next compute

E3=4iαA2,\displaystyle E_{3}=\frac{4i}{\alpha}A_{2}, (A4)

where

A2\displaystyle A_{2} =(vaψ¯bφc+vaφ¯bψc)16svsaσsbϕsc,\displaystyle=(v_{a}{\bar{\psi}}_{b}{\varphi}_{c}+v_{a}\bar{\varphi}_{b}\psi_{c})\,\frac{1}{6}\sum_{s}v_{s_{a}}\sigma_{s_{b}}\phi_{s_{c}}, (A5)

from (17). By explicitly expanding the sum, we obtain

A2=vaψ¯bφc(vaσbϕc+vbσcϕa+vcσaϕb+vbσaϕc+vaσcϕb+vcσbϕa)+(ψφ)=|v|26(ψ¯σφϕ+ψ¯ϕφσ+φ¯σψϕ+φ¯ϕψσ+2ψ¯σφϕ+2ϕψ¯φσ+2φϕψ¯σ+2φσψ¯ϕ+2φ¯σψϕ+2ϕφ¯ψσ+2ψϕφ¯σ+2ψσφ¯ϕ+6ψ¯φϕσ+6φ¯ψϕσ),\displaystyle\begin{split}A_{2}&=v_{a}{\bar{\psi}}_{b}{\varphi}_{c}(v_{a}\sigma_{b}\phi_{c}+v_{b}\sigma_{c}\phi_{a}+v_{c}\sigma_{a}\phi_{b}+v_{b}\sigma_{a}\phi_{c}+v_{a}\sigma_{c}\phi_{b}+v_{c}\sigma_{b}\phi_{a})+(\psi\leftrightarrow{\varphi})\\ &=\frac{|v|^{2}}{6}\big{(}\bar{\psi}_{\perp}\cdot{\sigma_{\perp}}\,\varphi_{\perp}\cdot{\phi_{\perp}}+\bar{\psi}_{\perp}\cdot{\phi_{\perp}}\,\varphi_{\perp}\cdot{\sigma_{\perp}}+\bar{\varphi}_{\perp}\cdot{\sigma_{\perp}}\,\psi_{\perp}\cdot{\phi_{\perp}}+\bar{\varphi}_{\perp}\cdot{\phi_{\perp}}\,\psi_{\perp}\cdot{\sigma_{\perp}}\\ &\ \ \ \ \ \ \ \ \ +2{\bar{\psi}}_{\parallel}{\sigma_{\parallel}}\varphi_{\perp}\cdot{\phi_{\perp}}+2{\phi_{\parallel}}{\bar{\psi}}_{\parallel}\varphi_{\perp}\cdot{\sigma_{\perp}}+2{\varphi}_{\parallel}{\phi_{\parallel}}\bar{\psi}_{\perp}\cdot{\sigma_{\perp}}+2{\varphi}_{\parallel}{\sigma_{\parallel}}\bar{\psi}_{\perp}\cdot{\phi_{\perp}}\\ &\ \ \ \ \ \ \ \ \ +2\bar{\varphi}_{\parallel}{\sigma_{\parallel}}\psi_{\perp}\cdot{\phi_{\perp}}+2{\phi_{\parallel}}\bar{\varphi}_{\parallel}\psi_{\perp}\cdot{\sigma_{\perp}}+2\psi_{\parallel}{\phi_{\parallel}}\bar{\varphi}_{\perp}\cdot{\sigma_{\perp}}+2\psi_{\parallel}{\sigma_{\parallel}}\bar{\varphi}_{\perp}\cdot{\phi_{\perp}}\\ &\ \ \ \ \ \ \ \ \ +6{\bar{\psi}}_{\parallel}{\varphi}_{\parallel}{\phi_{\parallel}}{\sigma_{\parallel}}+6\bar{\varphi}_{\parallel}\psi_{\parallel}{\phi_{\parallel}}{\sigma_{\parallel}}\big{)},\end{split} (A6)

where we have taken similar computational steps as those for A1A_{1}.

Appendix Appendix B Lists of aia_{i} and bib_{i} for N=5,7N=5,7

For N=5N=5,

a0=18z+120z2+480z3+2640z4,a1=16i(z6z2+60z3+120z4),a2=32(3z210z3+100z4+200z5),a3=32(z2+10z3+20z4+280z5),a4=256i(z3+20z5),a5=256(z4+4z5+28z6),\displaystyle\begin{split}a_{0}&=1-8z+120z^{2}+480z^{3}+2640z^{4},\\ a_{1}&=-16i(z-6z^{2}+60z^{3}+120z^{4}),\\ a_{2}&=-32(3z^{2}-10z^{3}+100z^{4}+200z^{5}),\\ a_{3}&=-32(-z^{2}+10z^{3}+20z^{4}+280z^{5}),\\ a_{4}&=-256i(z^{3}+20z^{5}),\\ a_{5}&=256(z^{4}+4z^{5}+28z^{6}),\end{split} (B1)

and

b0=4(112z+12z2),b1=4(1+22z132z2+120z3),b2=48(z8z2+60z3+80z4),b3=128(z2+60z4+240z5).\displaystyle\begin{split}b_{0}&=-4(1-12z+12z^{2}),\\ b_{1}&=4(-1+22z-132z^{2}+120z^{3}),\\ b_{2}&=48(z-8z^{2}+60z^{3}+80z^{4}),\\ b_{3}&=-128(z^{2}+60z^{4}+240z^{5}).\end{split} (B2)

For N=7N=7,

a0=136z+660z23360z3+25200z4+100800z5+504000z6,a1=16i(z30z2+440z31680z4+8400z5+16800z6),a2=32(3z270z3+840z41680z5+11760z6+30240z7),a3=32(z2+30z3280z4+1680z5+5040z6+36960z7),a4=256i(z316z4+168z5+1680z7),a5=256(z48z5+120z6+480z7+2640z8),\displaystyle\begin{split}a_{0}&=1-36z+660z^{2}-3360z^{3}+25200z^{4}+100800z^{5}+504000z^{6},\\ a_{1}&=-16i(z-30z^{2}+440z^{3}-1680z^{4}+8400z^{5}+16800z^{6}),\\ a_{2}&=-32(3z^{2}-70z^{3}+840z^{4}-1680z^{5}+11760z^{6}+30240z^{7}),\\ a_{3}&=-32(-z^{2}+30z^{3}-280z^{4}+1680z^{5}+5040z^{6}+36960z^{7}),\\ a_{4}&=-256i(z^{3}-16z^{4}+168z^{5}+1680z^{7}),\\ a_{5}&=256(z^{4}-8z^{5}+120z^{6}+480z^{7}+2640z^{8}),\end{split} (B3)

and

b0=8(1+30z180z2+120z3),b1=8(144z+600z22640z3+1680z4),b2=4(1+58z1160z2+9360z328560z4+16800z5),b3=16(3z100z2+1480z36720z4+25200z5+33600z6),b4=128(z220z3+280z4+8400z6+33600z7).\displaystyle\begin{split}b_{0}&=8(-1+30z-180z^{2}+120z^{3}),\\ b_{1}&=-8(1-44z+600z^{2}-2640z^{3}+1680z^{4}),\\ b_{2}&=4(-1+58z-1160z^{2}+9360z^{3}-28560z^{4}+16800z^{5}),\\ b_{3}&=16(3z-100z^{2}+1480z^{3}-6720z^{4}+25200z^{5}+33600z^{6}),\\ b_{4}&=-128(z^{2}-20z^{3}+280z^{4}+8400z^{6}+33600z^{7}).\end{split} (B4)

Appendix Appendix C Lists of ai,bi,c0a_{i},b_{i},c_{0} for N=4,6,8N=4,6,8

For N=4N=4,

a0=1+60z2+240z3,a1=16i(z+20z3),a2=32(3z2+2z3+24z4),a3=32(z2+6z3+32z4),a4=256i(z3+2z4),a5=256(z4+4z5),\displaystyle\begin{split}a_{0}&=1+60z^{2}+240z^{3},\\ a_{1}&=-16i(z+20z^{3}),\\ a_{2}&=-32(3z^{2}+2z^{3}+24z^{4}),\\ a_{3}&=-32(-z^{2}+6z^{3}+32z^{4}),\\ a_{4}&=-256i(z^{3}+2z^{4}),\\ a_{5}&=256(z^{4}+4z^{5}),\end{split} (C1)

and

c0=2(1+6z),b0=4(1+6z),b1=16(3z2z2+40z3),b2=128(z2+4z3+28z4).\displaystyle\begin{split}c_{0}&=-2(-1+6z),\\ b_{0}&=4(-1+6z),\\ b_{1}&=16(3z-2z^{2}+40z^{3}),\\ b_{2}&=-128(z^{2}+4z^{3}+28z^{4}).\end{split} (C2)

For N=6N=6,

a0=120z+280z2+8400z4+33600z5,a1=16i(z16z2+168z3+1680z5),a2=32(3z234z3+300z4+360z5+2400z6),a3=32(z2+18z360z4+600z5+2880z6),a4=256i(z36z4+60z5+120z6),a5=256(z4+60z6+240z7),\displaystyle\begin{split}a_{0}&=1-20z+280z^{2}+8400z^{4}+33600z^{5},\\ a_{1}&=-16i(z-16z^{2}+168z^{3}+1680z^{5}),\\ a_{2}&=-32(3z^{2}-34z^{3}+300z^{4}+360z^{5}+2400z^{6}),\\ a_{3}&=-32(-z^{2}+18z^{3}-60z^{4}+600z^{5}+2880z^{6}),\\ a_{4}&=-256i(z^{3}-6z^{4}+60z^{5}+120z^{6}),\\ a_{5}&=256(z^{4}+60z^{6}+240z^{7}),\end{split} (C3)

and

c0=3(120z+60z2),b0=6(120z+60z2),b1=4(1+18z)(120z+60z2),b2=16(3z56z2+540z3240z4+3360z5),b3=128(z28z3+120z4+480z5+2640z6).\displaystyle\begin{split}c_{0}&=3(1-20z+60z^{2}),\\ b_{0}&=-6(1-20z+60z^{2}),\\ b_{1}&=4(-1+18z)(1-20z+60z^{2}),\\ b_{2}&=16(3z-56z^{2}+540z^{3}-240z^{4}+3360z^{5}),\\ b_{3}&=-128(z^{2}-8z^{3}+120z^{4}+480z^{5}+2640z^{6}).\end{split} (C4)

For N=8N=8,

a0=156z+1428z215120z3+105840z4+2116800z6+8467200z7,a1=16i(z48z2+1020z38640z4+45360z5+302400z7),a2=32(3z2118z3+2080z412880z5+58800z6+84000z7+470400z8),a3=32(z2+46z3760z4+6160z58400z6+117600z7+537600z8),a4=256i(z330z4+440z51680z6+8400z7+16800z8),a5=256(z420z5+280z6+8400z8+33600z9),\displaystyle\begin{split}a_{0}&=1-56z+1428z^{2}-15120z^{3}+105840z^{4}+2116800z^{6}+8467200z^{7},\\ a_{1}&=-16i(z-48z^{2}+1020z^{3}-8640z^{4}+45360z^{5}+302400z^{7}),\\ a_{2}&=-32(3z^{2}-118z^{3}+2080z^{4}-12880z^{5}+58800z^{6}+84000z^{7}+470400z^{8}),\\ a_{3}&=-32(-z^{2}+46z^{3}-760z^{4}+6160z^{5}-8400z^{6}+117600z^{7}+537600z^{8}),\\ a_{4}&=-256i(z^{3}-30z^{4}+440z^{5}-1680z^{6}+8400z^{7}+16800z^{8}),\\ a_{5}&=256(z^{4}-20z^{5}+280z^{6}+8400z^{8}+33600z^{9}),\end{split} (C5)

and

c0=(15/2)(1+42z420z2+840z3),b0=15(1+42z420z2+840z3),b1=10(1+24z)(1+42z420z2+840z3),b2=4(140z+360z2)(1+42z420z2+840z3),b3=48(z52z2+1140z310360z4+50400z516800z6+201600z7),b4=128(z236z3+660z43360z5+25200z6+100800z7+504000z8).\displaystyle\begin{split}c_{0}&=-(15/2)(-1+42z-420z^{2}+840z^{3}),\\ b_{0}&=15(-1+42z-420z^{2}+840z^{3}),\\ b_{1}&=-10(-1+24z)(-1+42z-420z^{2}+840z^{3}),\\ b_{2}&=4(1-40z+360z^{2})(-1+42z-420z^{2}+840z^{3}),\\ b_{3}&=48(z-52z^{2}+1140z^{3}-10360z^{4}+50400z^{5}-16800z^{6}+201600z^{7}),\\ b_{4}&=-128(z^{2}-36z^{3}+660z^{4}-3360z^{5}+25200z^{6}+100800z^{7}+504000z^{8}).\end{split} (C6)

Appendix Appendix D Complexity of the spherical pp-spin model

Computing the distributions of the real tensor eigenvalues/vectors is the same as the computation of complexity777 See for example [29] for a review. of the spherical pp-spin model [18, 19]. In this appendix, we limit ourselves to p=3p=3 corresponding to order-three tensors.

The Hamiltonian of the spherical pp-spin model (with p=3p=3) is given by

H=1NJabcσaσbσc,\displaystyle H=-\frac{1}{N}J_{abc}\sigma_{a}\sigma_{b}\sigma_{c}, (D1)

with the continuous spin variable σN\sigma\in\mathbb{R}^{N} which has a constraint,

σaσa=N.\displaystyle\sigma_{a}\sigma_{a}=N. (D2)

Here the real symmetric tensor JJ is assumed to have the normal Gaussian distribution and can be identified with CC with α=1/2\alpha=1/2 in our notation. To match (D2) with our notation, we introduce the change of variable,

σa=Nwa,\displaystyle\sigma_{a}=\sqrt{N}w_{a}, (D3)

and then we have

H=NCabcwawbwc with wawa=1.\displaystyle H=-\sqrt{N}C_{abc}w_{a}w_{b}w_{c}\hbox{ with }w_{a}w_{a}=1. (D4)

The problem of computing complexity of the pp-spin spherical model is to count the number of local minima (and stationary points) of the above Hamiltonian. By using the method of Lagrange multiplier, counting the stationary points is equivalent to solve

Cabcwbwc=Nuwa,\displaystyle C_{abc}w_{b}w_{c}=-\sqrt{N}uw_{a}, (D5)

where uu\in\mathbb{R} and wawa=1(wN)w_{a}w_{a}=1\ (w\in\mathbb{R}^{N}). The value of uu is the energy of the stationary point, and can be identified with the same variable employed in [20]. Comparing with the Z-eigenvalue equation (5), we have the relation,

ζ=Nu.\displaystyle\zeta=-\sqrt{N}u. (D6)

By using (D6), it can be checked that the expressions of the mean distributions of the numbers of the critical points given for general NN in Section 7.2 of [20] agree with our results in Section 6.

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