Abstract
We consider the recently introduced generalization of the Harish-Chandra–Itzykson–Zuber integral to tensors and discuss its asymptotic behavior when the characteristic size N of the tensors is taken to be large. This study requires us to make assumptions on the scaling with N of the external tensors. We analyze a two-parameter class of asymptotic scaling ansätze, uncovering several non-trivial asymptotic regimes. This study is relevant for analyzing the entanglement properties of multipartite quantum systems. We discuss potential applications of our results to this domain, in particular in the context of randomized local measurements.
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Notes
Local as opposed to global \(U(N^D)\) transformations.
Seen as a trace invariant \({\textrm{Tr}}(A^n)={\textrm{Tr}}_{{{\varvec{\sigma }}}}(A)\) for any \({{\varvec{\sigma }}}=(\gamma , \ldots , \gamma )\) with \(\gamma \in S_n\) a cycle of length n.
Two blocks \(B\in \Pi \) and \(B_c \in \pi _c\) are connected by an edge \(b_c\in \Pi _c\) if and only if \(b_c\subset B, B_c\), hence both B and \(B_c\) belong to the block of \( \Pi \vee \pi _1 \dots \vee \pi _D\) which contains \(b_c\).
A spanning forest in a graph is a set of edges which is a spanning tree in each connected component of the graph.
The subscript only indicates that they are associated to the trace-invariants of B, as opposed to the ones of A.
We thank an anonymous referee for pointing out that the Brézin-Gross-Witten integral is a matrix model for which this regime is relevant [23]. We have not yet considered a BGW generalization involving tensor products of Haar-distributed unitary matrices, but this is a very natural question indeed, which we hope to address in the future.
In \(D=1\) the mesoscopic and microscopic regimes collapse (see Sect. 3.3).
This is particularly transparent for \(\epsilon =0\), in which case a scaling \(\beta >1\) would be realized by a tensor product states \(\otimes _c\rho _c\) with \(\rho _c\) of rank \(N^{\beta }\).
Sometimes called the reduced-degree.
A simple path is a sequence of edges such that two consecutive edges share a vertex, and all the vertices in the sequence are distinct.
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Acknowledgements
B.C. was partially supported by JSPS Kakenhi 17H04823, 20K20882, 21H00987, and by the Japan-France Integrated action Program (SAKURA), Grant number JPJSBP120203202. R.G. and L.L. are supported by the European Research Council (ERC) under the European Union Horizon 2020 research and innovation program (grant agreement No818066) and by Deutsche Forschungsgemeinschaft (DFG, German Research Foundation) under Germany’s Excellence Strategy EXC-2181/1 - 390900948 (the Heidelberg STRUCTURES Cluster of Excellence). During most of this project, L.L. was at Radboud University, supported by the START-UP 2018 programme with project number 740.018.017, financed by the Dutch Research Council (NWO). L.L. thanks JSPS and Kyoto University, where the discussions at the origin of this project took place. The authors have no relevant financial or non-financial interests to disclose. Data sharing not applicable to this article as no datasets were generated or analysed during the current study.
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Appendices
Asymptotic Regimes for D = 1, Proof of Theorem 3
The asymptotic expansion of the cumulants of the tensor HCIZ integral (3.3) for \(D=1\) reads:
where (2.4) and the asymptotic scaling ansatz are:
and similarly for B. Using (4.7), we rewrite the exponent of N in a term as:
where \(g(\sigma , \tau )\) is the genus of the embedded map \((\sigma , \tau )\) discussed in Sect. 4.4. The scaling always selects planar graphs \((\sigma ,\tau )\) and favors for \(\beta < 1 \) cyclic permutations, for \(1<\beta \) the identity permutation, and for \(\beta =1\) it is insensitive to the number of cycles of the permutations:
-
1.
If \(\beta _A=\beta _B=1\), (A.1) becomes \(2 + n({\gamma _{{}_{\beta \epsilon } }}- 1) - 2g(\sigma , \tau )\), so that \({\gamma _{{}_{\beta \epsilon } }}=1\), \({\delta _{{}_{\beta \epsilon } }}= 2\), and the leading order graphs are \((\sigma ,\tau )\) planar.
-
2.
If \(\beta _A<\beta _B=1\), (A.1) is \(\beta _A + 1 + n({\gamma _{{}_{\beta \epsilon } }}- 1) - 2\,g(\sigma , \tau ) - (1-\beta _A) (\#(\sigma )-1) \), so that \({\gamma _{{}_{\beta \epsilon } }}= 1\), \({\delta _{{}_{\beta \epsilon } }}= \beta _A+1\) and at leading order \(g(\sigma , \tau )=0\) and \(\#(\sigma )=1\). From Proposition 4.3, \(\tau \) is non-crossing on \(\sigma \) and from Theorem 1, \(f[\sigma , \tau ] = \textsf{M}(\sigma \tau ^{-1})\).
-
3.
If \(\beta _A\le \beta _B<1\), we write (A.1) as:
$$\begin{aligned} \beta _A + \beta _B + n({\gamma _{{}_{\beta \epsilon } }}-1 ) - 2g(\sigma , \tau ) - ( 1-\beta _A) (\#(\sigma )-1) - (1-\beta _B) (\#(\tau )-1) \;, \end{aligned}$$hence \({\delta _{{}_{\beta \epsilon } }}= \beta _A + \beta _B\), \({\gamma _{{}_{\beta \epsilon } }}= 1\) and at leading order \(g(\sigma , \tau ) =0\) and \(\#(\sigma )=\#(\tau )=1\). From Prop. 4.4\(\sigma =\tau \) and from Theorem 1\(f \bigl [\sigma , \tau \bigr ]=1\).
-
4.
If \(\beta _A< 1 <\beta _B\), we write (A.1) as:
$$\begin{aligned} \beta _A + 1 + n({\gamma _{{}_{\beta \epsilon } }}+ \beta _B - 2 ) - 2g(\sigma , \tau ) - ( 1-\beta _A) (\#(\sigma )-1) - (\beta _B-1) (n- \#(\tau )) \;, \end{aligned}$$hence \({\delta _{{}_{\beta \epsilon } }}= \beta _A+1\), \({\gamma _{{}_{\beta \epsilon } }}= 2-\beta _B\), and at leading order \(\#(\tau )=n\), i.e. \(\tau = \textrm{id}\), and \(\#(\sigma )=1\). From Theorem 1, \(f[\sigma , {\textrm{id}}] = \textsf{M}(\sigma ) = \frac{(-1)^{n-1}}{n}\left( {\begin{array}{c}2n-2\\ n-1\end{array}}\right) \) since \(\#(\sigma )=1\). As in the regime 2, the contribution is the same for all cycles.
-
5.
If \(\beta _A =1 <\beta _B\), we write (A.1) as \(2 + n({\gamma _{{}_{\beta \epsilon } }}+ \beta _B - 2 ) - 2\,g(\sigma , \tau ) - (\beta _B-1) (n- \#(\tau )) \), hence \({\delta _{{}_{\beta \epsilon } }}= 2\), \({\gamma _{{}_{\beta \epsilon } }}= 2-\beta _B\), and at leading order \(\#(\tau )=n\), i.e. \(\tau = \textrm{id}\), and \(\sigma \) is arbitrary.
-
6.
If \(1<\beta _A \le \beta _B\), we write (A.1) as:
$$\begin{aligned} 2 + n({\gamma _{{}_{\beta \epsilon } }}+ \beta _A + \beta _B - 3 ) - 2g(\sigma , \tau ) - (\beta _A -1)(n - \#(\sigma )) - (\beta _B -1)(n - \#(\tau ) ) , \end{aligned}$$hence \({\delta _{{}_{\beta \epsilon } }}=2\), \({\gamma _{{}_{\beta \epsilon } }}=3-\beta _A-\beta _B\). At leading order, \(\sigma =\tau ={\textrm{id}}\) and \(f[{\textrm{id}}, {\textrm{id}}]\) follows from Theorem 1.
This concludes the proof of Theorem 3.
Proof of Theorem 6: Regimes with A Microscopic
We check the rest of the regimes in Theorem 6.
1.1 Regime II
Lemma B.1
For \(\beta =1-\epsilon (D-1)>\frac{1}{D}\) and \(\epsilon \ge 0\), the leading order graphs are the \(({{\varvec{\sigma }}}, {{\varvec{\tau }}})\) with \({{\varvec{\sigma }}}\) connected \((D+1)\)-melonic and \({{\varvec{\tau }}}\preceq {{\varvec{\sigma }}}\):
Proof
Using \(\omega ({{\varvec{\tau }}})\) (4.5), \(\Box _{{{\varvec{\tau }}}}\) (4.9), and \({\Delta }\) (4.8), the scaling in (5.1) reads:
thus \(\Pi ({{\varvec{\sigma }}},{{\varvec{\tau }}})=1\) and from Proposition 4.4 we get \({{\varvec{\tau }}}\preceq {{\varvec{\sigma }}}\) and \(\Pi ({{\varvec{\sigma }}}) = \Pi ({{\varvec{\sigma }}},{{\varvec{\tau }}}) =1\). As \({{\varvec{\tau }}}\preceq {{\varvec{\sigma }}}\), from Proposition 4.8 we get that \( {\Delta }({{\varvec{\sigma }}}, {{\varvec{\tau }}})=0\) if and only if \({{\varvec{\sigma }}}\) is \((D+1)\)-melonic. On the other hand, \( {\Delta }({{\varvec{\sigma }}}, {{\varvec{\tau }}}) = 0\) ensures that \(\Omega _{D+1}({{\varvec{\tau }}})=0\), hence \(\omega ({{\varvec{\tau }}})=0\). \(\square \)
1.2 Regime III
Lemma B.2
For \(0<\beta =\epsilon <1/D \), the leading order graphs are \(({{\varvec{\sigma }}}, {{\varvec{\sigma }}})\) with \({{\varvec{\sigma }}}\) connected melonic:
Proof
Using (4.5), (4.9) and (4.8), we rewrite (5.1) as:
From Proposition 4.4 we conclude that \({{\varvec{\tau }}}= {{\varvec{\sigma }}}\) and the lemma follows. \(\square \)
1.3 Regime IV
Lemma B.3
For \(0\le \epsilon<\beta <1-\epsilon (D-1)\), the leading order graphs are the \(({{\varvec{\sigma }}}, {{\varvec{\sigma }}})\) with \({{\varvec{\sigma }}}\) connected \((D+1)\)-melonic, and:
Proof
Using the expressions for \(\omega ({{\varvec{\tau }}})\) (4.5), \(\Omega _{D+1}({{\varvec{\tau }}})\) (4.6) and \(\Box _{{{\varvec{\tau }}}}\) (4.9), the scaling in N in (5.1) becomes:
The leading order graphs are connected. Moreover, since \(1+\epsilon - \beta - \epsilon D>0\), they have \(|\Pi ({{\varvec{\tau }}})|=1\), so that \( \Box _{{{\varvec{\tau }}}}({{\varvec{\sigma }}}, {{\varvec{\tau }}}) = \sum _c\bigl [\#(\tau _c) - |\Pi (\sigma _c, \tau _c)|\bigr ] =0\). As \(g(\sigma _c, \tau _c)=0\) and \(\#(\sigma _c) - |\Pi (\sigma _c, \tau _c)|=0\), from Proposition 4.4 we conclude that \({{\varvec{\tau }}}={{\varvec{\sigma }}}\). Taking into account that \(\Omega _{D+1}({{\varvec{\tau }}})=0 \Rightarrow \omega ({{\varvec{\tau }}})=0\), we conclude that \({{\varvec{\sigma }}}={{\varvec{\tau }}}\) and \({{\varvec{\sigma }}}\) is a connected \((D+1)\)-melonic graph. \(\square \)
1.4 Regime V
Lemma B.4
For \(\epsilon > \beta \), \(\epsilon > 0\) and \(\beta < 1/D \), the leading order graphs are such that all the \(\sigma _c,\tau _c\) are the same cycle:
Proof
For \(\epsilon > \max (\beta , 0)\) and \(\beta < 1/D\), we rewrite (5.1) as:
At leading order, \(|\Pi ({{\varvec{\tau }}})|=1\), so that \(\sum _c\#(\tau _c) - D|\Pi ({{\varvec{\tau }}})|=\sum _c\#(\tau _c) - D \), which vanishes if and only if for all c, \(\tau _c\) is a cycle of length n. Since \(\tau _c\preceq \sigma _c\), this imposes that \(\sigma _c=\tau _c\), which implies \(\Box _{{{\varvec{\tau }}}}({{\varvec{\sigma }}}, {{\varvec{\tau }}})=0\). Finally, from (4.5), \(\omega ({{\varvec{\tau }}})=0\) and each \(\tau _c\) is a cycle if and only if all the \(\tau _c\) are equal.\(\square \)
1.5 Regime VII
Lemma B.5
For \(\epsilon > \beta = 1/D\), the leading order graphs are such that \({{\varvec{\tau }}}= (\tau , \dots , \tau )\) for some \(\tau \in S_n\), \({{\varvec{\sigma }}}\) is connected, \({{\varvec{\tau }}}\preceq {{\varvec{\sigma }}}\), and \(\Box _{{{\varvec{\tau }}}}({{\varvec{\sigma }}},{{\varvec{\tau }}})=0\):
The leading order graph include \(({{\varvec{\sigma }}}, \textbf{id} )\) with \({{\varvec{\sigma }}}\) connected \((D+1)\)-melonic and \(\textbf{id}=({\textrm{id}}, \dots , {\textrm{id}}) \in { {\varvec{S}} } _n\).
Proof
For \(\epsilon > \beta \) and \(\beta =1/D\), we rewrite (5.1) as:
The leading order graphs \(({{\varvec{\sigma }}},{{\varvec{\tau }}})\) are connected, and from Proposition 4.4 they satisfy \({{\varvec{\tau }}}\preceq {{\varvec{\sigma }}}\) and \(\Pi ({{\varvec{\sigma }}})=1\). From (4.5), we note that \({{\varvec{\tau }}}\) satisfies \(\omega ({{\varvec{\tau }}})=0\) and \(\sum _c\#(\tau _c) = D|\Pi ({{\varvec{\tau }}})|\) if and only if all \(\tau _c =\tau \) from some \(\tau \in S_n\).
The last assertion follows by noting that \(\textbf{id} \preceq {{\varvec{\sigma }}}\); (4.6) and (4.8) imply that \({\Delta }({{\varvec{\sigma }}},\textbf{id} ) = \Omega _{D+1}({{\varvec{\sigma }}}) \), and from Proposition 4.8, \(\Box _{{{\varvec{\tau }}}}({{\varvec{\sigma }}}, \textbf{id} )=0\) if and only if \({\Delta }({{\varvec{\sigma }}},\textbf{id}) = 0 \). \(\square \)
1.6 Regime VIII
Lemma B.6
For \(\epsilon \ge \frac{1}{D}\), \(\beta > \frac{1}{D}\), and \(0\le \epsilon < \frac{1}{D}\), \(\beta > 1- \epsilon (D-1)\), the leading order graphs are \(({{\varvec{\sigma }}}, {{\varvec{\tau }}})\) with \({{\varvec{\sigma }}}\) connected \((D+1)\)-melonic, and \(\tau _c = {\textrm{id}}\) for every c:
Proof
We divide the proof for this regime in two regions: \(\epsilon \ge 1/D \) and \(\beta > 1/D\) on one hand, and \(0\le \epsilon < 1/D \) and \(\beta > 1- \epsilon (D-1)\) on the other hand.
For \(\epsilon \ge 1/D \) and \(\beta > 1/D \), we rewrite the scaling with N in (5.1) as:
The leading order graphs are connected and such that for all c, \(\#(\tau _c)=n\), that is, \(\tau _c={\textrm{id}}\). From (4.9), we have \(\Box _{{{\varvec{\sigma }}}}({{\varvec{\sigma }}},{{\varvec{\tau }}})=0\), that is, \({\Delta }({{\varvec{\sigma }}},{{\varvec{\tau }}}) = \Omega _{D+1}({{\varvec{\sigma }}})\), while from Proposition 4.8 we get \(\Box _{{{\varvec{\tau }}}}({{\varvec{\sigma }}},{{\varvec{\tau }}}) = {\Delta }({{\varvec{\sigma }}},{{\varvec{\tau }}})\). It follows that at leading order, \({{\varvec{\sigma }}}\) is \((D+1)\)-melonic and connected (as \(\Pi ({{\varvec{\sigma }}},{{\varvec{\tau }}})=1\)). For \(0\le \epsilon < 1/D\) and \(\beta > 1- \epsilon (D-1)\), we follow the same reasoning starting from rewriting (5.1) as:
\(\square \)
Proof of Theorem 7: Symmetric Regimes
We now check the rest of the regimes in Theorem 7.
1.1 Regime S-II
Lemma C.1
For \(\beta =1-\epsilon (D-1)> 1/D\) and \(\epsilon \ge 0\), we have:
Proof
Using \(\omega ({{\varvec{\tau }}})\) from (4.5), \(\Box \) from Proposition 4.8, \(\Box _{{{\varvec{\tau }}}}\) from (4.9), and \({\Delta }\) from (4.8), we rewrite (5.1) as:
From Proposition 4.8, \({\Delta }({{\varvec{\sigma }}}, {{\varvec{\tau }}})=0\) implies that both \(\Box ({{\varvec{\sigma }}}, {{\varvec{\tau }}})=0\) and \(\Omega _{D+1}({{\varvec{\sigma }}})=\Omega _{D+1}({{\varvec{\tau }}}) =0\), which from Proposition 4.2 implies that \(\omega ({{\varvec{\sigma }}})=\omega ({{\varvec{\tau }}})=0\). \(\square \)
1.2 Regime S-III
Lemma C.2
For \(\beta _A=\beta _B=\epsilon _A=\epsilon _B=\epsilon \), with \(0<\epsilon < 1/D \), the leading order graphs are the \(({{\varvec{\sigma }}}, {{\varvec{\sigma }}})\), with \({{\varvec{\sigma }}}\) a connected melonic graph:
Proof
In this regime, the scaling in (5.1) reads:
The leading order graphs have \(\omega ({{\varvec{\sigma }}})=0\). They also have \(g(\sigma _c, \tau _c)=0\), \(\#(\sigma _c) - |\Pi (\sigma _c, \tau _c)|=0\), and \(\#(\tau _c) - |\Pi (\sigma _c, \tau _c)|=0 \), and hence have \({{\varvec{\sigma }}}= {{\varvec{\tau }}}\) (Proposition 4.4) and are connected. But then \(|\Pi ({{\varvec{\tau }}})|= |\Pi ({{\varvec{\sigma }}})|=1\), so that \(\Box _{{{\varvec{\tau }}}}({{\varvec{\sigma }}}, {{\varvec{\tau }}}) = \sum _c\bigl [\#(\tau _c) - |\Pi (\sigma _c, \tau _c)|\bigr ]\) and \(\Box _{{{\varvec{\sigma }}}}({{\varvec{\sigma }}}, {{\varvec{\tau }}}) = \sum _c\bigl [\#(\sigma _c) - |\Pi (\sigma _c, \tau _c)|\bigr ]\).\(\square \)
1.3 Regime S-IV
Lemma C.3
For \(\beta _A=\beta _B=\beta \) and \(\epsilon _A=\epsilon _B=\epsilon \), with \(0\le \epsilon<\beta <1-\epsilon (D-1) \), the leading order graphs are the \(({{\varvec{\sigma }}}, {{\varvec{\sigma }}})\) with \({{\varvec{\sigma }}}\) a connected \((D+1)\)-melonic graph:
Proof
Using \(\omega ({{\varvec{\tau }}})\) from (4.5), \(\Box \) from Proposition 4.8, \(\Box _{{{\varvec{\tau }}}}\) from (4.9), and \(\Omega _{D+1}({{\varvec{\tau }}})\) from (4.6), we rewrite (5.1) as:
Since \(1+\epsilon - \beta - \epsilon D>0\), at leading order we have \(|\Pi ({{\varvec{\tau }}})|=|\Pi ({{\varvec{\sigma }}})|=1\), so that:
which together with \(g(\sigma _c,\tau _c)=0\) imposes that \({{\varvec{\sigma }}}= {{\varvec{\tau }}}\) (Proposition 4.4). As (see Proposition 4.2) \(\Omega _{D+1}({{\varvec{\tau }}})=0\) implies \(\omega ({{\varvec{\tau }}})=0\), we find that at leading order \({{\varvec{\sigma }}}\) is connected \((D+1)\)-melonic, and \({{\varvec{\tau }}}= {{\varvec{\sigma }}}\). \(\square \)
1.4 Regime S-V
Lemma C.4
For \(\epsilon > \beta \), \(\epsilon >0\) and \(\beta < 1/D\), the leading order graphs are such that all the \(\tau _c,\sigma _c\) are the same cycle, and:
Proof
For \(\epsilon > \beta \) and \(\beta < 1/D \) we rewrite (5.1) as:
The leading order graphs are such that \(|\Pi ({{\varvec{\tau }}})|=1\), which implies \(\sum _c\#(\tau _c) - D|\Pi ({{\varvec{\tau }}})|=\sum _c\#(\tau _c) - D\ge 0\), which in turn vanishes if and only if \(\#(\tau _c)=1\). They also have \(\omega ({{\varvec{\tau }}})=0\), which imposes that all the \(\tau _c\) are the same cycle. The same goes for \({{\varvec{\sigma }}}\). For the genera \(g(\sigma _c, \tau _c)\) to vanish, \(\sigma _c\) and \(\tau _c\) must be the same cycle. \(\Box ({{\varvec{\sigma }}}, {{\varvec{\tau }}})\) indeed vanishes for such contributions. \(\square \)
1.5 Regime S-VII
Lemma C.5
For \(\epsilon > \beta = 1/D\), the leading order graphs are such that for all c, \(\tau _c = \sigma _c=\sigma \), not necessarily connected, and:
with \(l(\eta )\) the length of the cycle \(\eta \).
We can give a close expression for \(f[{{\varvec{\sigma }}}, {{\varvec{\sigma }}}]\) using (2.5):
Proof
For \(\epsilon > \beta = 1/D\), (5.1) becomes:
At leading order, \({{\varvec{\sigma }}}\) and \({{\varvec{\tau }}}\) must be melonic, and since \(\sum _c \#(\sigma _c) =D|\Pi ({{\varvec{\sigma }}})|\) and \(\sum _c \#(\tau _c) = D |\Pi ({{\varvec{\tau }}})|\), from (4.5) it follows that \(\sigma _c =\sigma \) and \(\tau _c = \tau \) for all c. With these constraints, \(\Box ({{\varvec{\sigma }}}, {{\varvec{\tau }}})=0\) is equivalent to \(\#(\sigma )=\#(\tau ) = |\Pi (\sigma , \tau )|\) and since \(g(\sigma , \tau )=0\), \(\sigma =\tau \) (Proposition 4.4). \(\square \)
1.6 Regime S-VIII
Lemma C.6
In the regions \(\epsilon \ge 1/D\), \(\beta > 1/D\) and \(0\le \epsilon < 1/D\), \(\beta > 1- \epsilon (D-1)\), the leading order graphs are such that \(\sigma _c=\tau _c = {\textrm{id}}\) for all c:
Proof
We divide the proof for this regime in two regions: \(\epsilon \ge 1/D\) and \(\beta > 1/D\) on one hand, and \(0\le \epsilon < 1/D \) and \(\beta > 1- \epsilon (D-1)\) on the other.
For \(\epsilon \ge 1/D \) and \(\beta > 1/D \), we rewrite (5.1) as:
which at leading order, due to the first term in the second line, restricts to \(\sigma _c=\tau _c={\textrm{id}}\) for all c. For \(0\le \epsilon < 1/D \) and \(\beta > 1- \epsilon (D-1)\), we reach the same conclusion by writing (5.1) as:
\(\square \)
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Collins, B., Gurau, R. & Lionni, L. The Tensor Harish-Chandra–Itzykson–Zuber Integral II: Detecting Entanglement in Large Quantum Systems. Commun. Math. Phys. 401, 669–716 (2023). https://doi.org/10.1007/s00220-023-04653-5
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DOI: https://doi.org/10.1007/s00220-023-04653-5