Abstract
We consider the random dimer model in one space dimension with Bernoulli disorder. For sufficiently small disorder, we show that the entanglement entropy exhibits at least a logarithmically enhanced area law if the Fermi energy coincides with a critical energy of the model where the localisation length diverges.
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Change history
04 July 2020
We correct an error in the Appendix of [1].
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Appendix A. On the proof of Theorem 3.4
Appendix A. On the proof of Theorem 3.4
Theorem 3.4 contains slight improvements of results from [JSBS03], which are necessary to deduce our main result. For us it is vital to control the quantity C in Theorem 3.4 in the limit \(v\searrow 0\) which is not done in [JSBS03]. Therefore we repeat some arguments of [JSBS03] in this appendix and keep track of the constants. Again, we assume \(v \in \;]0,2[\) and we restrict ourselves to the case \(E_{F}=0\), the case of the other critical energy \(E_{F}=v\) being analogous.
Given \(V \in \{0,1\}\) and \(E\in {\mathbb {R}}\), we define the single-step transfer matrix by
The (multi-step) transfer matrix
relates the solution of the discrete Schrödinger equation (3.7) at different sites
where \(x \leqslant y\). In our model, the single-dimer transfer matrix
and its similarity transform
with entries \(a_{V}(E), b_{V}(E) \in {\mathbb {C}}\) are of great relevance. Here, the change of basis in \({\mathbb {C}}^{2}\) induced by
simultaneously diagonalises \(D_{0}(0)\) and \(D_{v}(0)\), i.e. \(T_{0}(0)=-1_{2\times 2}\) and \(T_{v}(0)\) are both diagonal. The real parameter \(m_{v}>0\) is chosen such that \(|\det M_{v}| =1\). We remark that for every \(w\in {\mathbb {R}}^{2}\) there exists \(z\in {\mathbb {C}}\) such that
In analogy to (A.2), we define the modified (multi-step) dimer transfer matrix as
where \(x,y\in 2{\mathbb {Z}}\).
For later usage we state the Taylor expansions of the entries of \(T_{V}(E)\) as \(E\searrow 0\)
Lemma A.1
(Cf. (42) in [JSBS03]). Given \(\theta \in [0,2\pi [\) , let \(e_\theta :=\frac{1}{\sqrt{2}}({{\,\mathrm{e}\,}}^{-\mathrm{i}\theta },{{\,\mathrm{e}\,}}^{\mathrm{i}\theta })^T\). For all \(v\in \;]0,2[\) , \(V\in \{0,1\}\) and all \(E\in {\mathbb {R}}\) there exists maps \(\Theta _V:\;[0,2\pi [\; \rightarrow {\mathbb {R}}\) and \(\rho _V:\;[0,2\pi [\;\rightarrow \;]0,\infty [\,\) such that
for all \(\theta \in [0,2\pi [\) . Furthermore, we have
Proof
The form of \(T_{V}(E)\) in (A.5) implies that for every non-zero \(w_z:=(z,{{\overline{z}}})^T\), \(z\in {\mathbb {C}}\backslash \{0\}\) there exists \(\zeta \in {\mathbb {C}}\backslash \{0\}\) such that \(T_{V}(E) w_{z} = w_{\zeta }\). Since \(w_{\zeta }= \rho e_\Theta \) for a unique \(\rho >0\) and \(\Theta \in [0,2\pi [\,\), the first part of the lemma follows. The equality (A.11) is verified by a direct computation. \(\quad \square \)
In the following lemma, which is a modification of (49) in [JSBS03], we use the notation \(|\pmb \cdot |\) for the Euclidean norm on \({\mathbb {C}}^{2}\).
Lemma A.2
Let \(v\in \;]0,2[\,\), \(L\in {\mathbb {N}}\), \(E\in [-2,2]\), \(\omega \in \Omega \) and \(x,y\in \Gamma _{L}\) with \(x\leqslant y\).
-
(i)
Then there exists a constant \(c_v \in \;]0,\infty [\) , which depends only on v and obeys
$$\begin{aligned} \lim _{v\searrow 0}c_v=0, \end{aligned}$$(A.12)such that for all unit vectors \(w\in {\mathbb {R}}^2\), \(|w|=1\), there is an angle \(\xi _w\in [0,2\pi [\) such that
$$\begin{aligned} \ln \big (|W^\omega (E;x,-L)w|^{2}\big ) \in 2E \sum _{k=k_0}^{k_1-1} \mathrm{Re}\big ( d_{V^\omega (2k)}{{\,\mathrm{e}\,}}^{2\mathrm{i}\vartheta _k}\big ) +{\mathcal {O}}(E^2L) + c_{v} [-1,1] \end{aligned}$$(A.13)with \(d_V:= {a_{V}}(0) b_{V}'(0)\) for \(V\in \{0,1\}\) and where
$$\begin{aligned} k_0:=\min \{k\in {\mathbb {Z}}:-L\leqslant 2k\}, \qquad k_1:=\max \{k:2k\leqslant x\}, \end{aligned}$$(A.14)\(\vartheta _{k_0}:=\xi _w\) and \(\vartheta _{k+1}=\Theta _{V^\omega (2k)}(\vartheta _k)\) for all \(k\in \{k_0,\ldots ,k_1-1\}\). The \({\mathcal {O}}(E^2L)\)-term in (A.13) has no further dependencies except on the model parameters.
-
(ii)
Let \(\{w_1,w_2\}\) be an orthonormal basis of \({\mathbb {R}}^2\). Then
$$\begin{aligned} \Vert W^\omega (E;y,x)\Vert \leqslant 2\max _{w\in \{w_1,w_2\}}\max _{z\in \Gamma _L}|W^\omega (E;z,-L)w|^2. \end{aligned}$$(A.15)
Proof
-
(i)
For all \(x\in \Gamma _L\) we have
$$\begin{aligned} W^\omega (E;x,-L)=W^\omega (E;x,2k_1)M_v T^\omega (E;2k_1,2k_0)M_v^{-1} W^\omega (E;2k_0,-L). \end{aligned}$$(A.16)For \(w\in {\mathbb {R}}^2\), \(|w|=1\), let the angle \(\xi _w\in [0,2\pi [\) be given as the unique solution of
$$\begin{aligned} e_{\xi _w}=M_v^{-1} W^\omega (E;2k_0,-L)w/|M_v^{-1} W^\omega (E;2k_0,-L)w|. \end{aligned}$$(A.17)We claim that
$$\begin{aligned} \ln |W^\omega (E;x,-L)w|^2 \in \sum _{k=k_0}^{k_1-1}\ln \big (\rho _{V^\omega (2k)}(\vartheta _k)^{2}\big ) + c_v [-1,1] \end{aligned}$$(A.18)with
$$\begin{aligned} c_v:= 4\ln \big (\Vert M_v\Vert \big ) + 4 \max _{E\in [-2,2]}\max _{V\in \{0,1\}}\ln \Vert W_{V}(E)\Vert >0. \end{aligned}$$(A.19)To see the validity of (A.18), we iterate Lemma A.1 and conclude
$$\begin{aligned} |W^\omega (E;x,-L)w|&= |W^\omega (E;x,2k_{1}) M_{v}e_{\vartheta _{k_{1}}}| \prod _{k=k_0}^{k_1-1} \rho _{V^\omega (2k)}(\vartheta _k) \nonumber \\&\qquad \times |M_v^{-1} W^\omega (E;2k_0,-L)w|. \end{aligned}$$(A.20)Furthermore, we note that
$$\begin{aligned} \Vert A^{-1}\Vert = \Vert A\Vert \qquad \text {and} \qquad \frac{1}{\Vert A\Vert } \leqslant |Aw| \leqslant \Vert A\Vert \end{aligned}$$(A.21)hold for any complex \(2\times 2\)-matrix A with \(|\det A| =1\) and any \(w\in {\mathbb {C}}^{2}\) with \(|w|=1\). Applying this to the first and last factor on the right-hand side of (A.20), yields (A.18).
The estimate (A.13) now follows from (A.11) and a Taylor expansion in the energy E, using (A.9). Since \(\Vert W_V(E)\Vert ,\, \Vert M_v\Vert \rightarrow 1\) as \(v\rightarrow 0\) for every \(E\in [-2,2]\) and \(V\in \{0,1\}\), we conclude (A.12) from (A.19).
-
(ii)
For all \(x,\;y\in \Gamma _L\) we have
$$\begin{aligned} \Vert W^\omega (E;y,x)\Vert \leqslant \Vert W^\omega (E;y,-L)\Vert \Vert W^\omega (E;x,-L)^{-1}\Vert \leqslant \max _{z\in \Gamma _L}\Vert W^\omega (E;z,-L)\Vert ^2, \end{aligned}$$(A.22)where we used the equality of norms in (A.21). The claim follows from the observation that for any \(2\times 2\) matrix
$$\begin{aligned} \Vert A\Vert ^2\leqslant 2\max _{w\in \{w_1,w_2\}}\Vert Aw\Vert ^2. \end{aligned}$$(A.23)
\(\square \)
The next lemma accounts for a perturbation in energy and is a variation of [DT03, Lemma 2.1] or [Sim96, Thm. 2J].
Lemma A.3
Let \(E,\varepsilon \in {\mathbb {R}}\), \(\omega \in \Omega \), \(L\in {\mathbb {N}}\) and \(G_{E}^{\omega }:=\max _{x,y\in \Gamma _L, x<y}\Vert W^\omega (E;y,x)\Vert \). Then, we have for all \(x\in \Gamma _L\) and all \(w\in {\mathbb {R}}^2\) with \(|w|=1\) the estimate
Proof
For \(V\in \{0,1\}\) and \(E,\varepsilon \in {\mathbb {R}}\) we observe
and expand \(W^\omega (E+\varepsilon ;x,-L)\) in powers of \(\varepsilon \). For the upper bound, this leads to the estimate
for all \(x\in \Gamma _L\) and all unit vectors \(w\in {\mathbb {R}}^{2}\). For the lower bound, we use the inverse triangle inequality to estimate the expansion in \(\varepsilon \) according to
for all \(x\in \Gamma _L\) and all unit vectors \(w\in {\mathbb {R}}^{2}\). We note that for any \(a,b,c \geqslant 0\), the two-sided estimate \(a \in b+ c \, [-1,1]\) implies \(a^{2} \in b^{2}+ c(2b+c) \, [-1,1]\). In our case, we have \(b:=|W^\omega (E;x,-L)w| \leqslant G_{E}^{\omega }\), which implies the claim. \(\quad \square \)
For convenience we quote [JSBS03, Thm. 6] in our notation and note that the assumption \(|\langle {{\,\mathrm{e}\,}}^{2\mathrm{i} \eta _{\pm }}\rangle | < 1\) there is always fulfilled in the dimer model considered in this paper.
Theorem A.4
([JSBS03, Thm. 6]). For \(L\in {\mathbb {N}}\), \(\alpha >0\), \(\theta \in [0,2\pi [\) and \(E\in {\mathcal {W}}_{L}\) let
with \(d_{V}\), \(k_0\) and \(\vartheta _k\) defined as in Lemma A.2(i) with \(\vartheta _{k_0}=\theta \). Then there exists quantities \(C_1,\;C_2>0\), depending only on \(\alpha \) and the model parameters, such that
Lemma A.5
Let \(v\in \;]0,2[\,\). For all \(\alpha >0\) there exists \(L_0\in {\mathbb {N}}\) such that for all \(L\geqslant L_0\) there exists a measurable subset \(\Omega _L(\alpha )\subseteq \Omega \) and a constant \(c>0\) such that
and such that for all \(\omega \in \big (\Omega _L(\alpha )\big )^c\), \({E \in {\mathcal {W}}_{L}}\) and \({x\in \Gamma _L}\)
where the constant \(c_{v}\) is given by Lemma A.2(i), see (A.19).
Proof
Let \(w_1:=(1,0)^{T}\) and \(w_2:=(0,1)^{T}\). In view of (A.17), we define a set of modified Prüfer angles
with cardinality \(|\Xi | \leqslant 6\). Let
Hence, \({\mathbb {P}}(\Omega _L(\alpha ,E))\leqslant 6C_1{{\,\mathrm{e}\,}}^{-C_2L^{\alpha /2}}\) by Theorem A.4, and for all \(E\in {\mathcal {W}}_{L}\) and \(\omega \in (\Omega _L(\alpha ,E))^c\) the estimate (A.13) yields
for all \(x\in \Gamma _{L}\) and \(w\in \{ w_{1}, w_{2}\}\). Hence there exists \(L_0^\prime >0\) such that for all \(L\geqslant L_0^\prime \), all \(E\in {\mathcal {W}}_{L}\), all \(\omega \in (\Omega _L(\alpha ,E))^c\), all \(x\in \Gamma _{L}\) and \(w\in \{w_{1},w_{2}\}\), we have
The upper bound in (A.35) and Lemma A.2(ii) imply for the quantity \(G_{E}^{\omega }\) in Lemma A.3
for all \(\omega \in (\Omega _L(\alpha ,E))^c\). We define
Hence there exists \(L_0^{\prime \prime } \geqslant L_{0}'\) and \(c>0\) such that for all \(L\geqslant L_0^{\prime \prime }\) we have
Now, we consider \(\omega \in (\Omega _L(\alpha ))^c\) arbitrary and \(n\in {\mathbb {Z}}\) arbitrary such that \(E_{n} :=n/L^2 \in {\mathcal {W}}_{L}\) and apply Lemma A.3, (A.35) and (A.36) with \(E_{n}\), \(w=w_{1}\) and any \(|\varepsilon | \leqslant L^{-2}\). This gives
for all \(x\in \Gamma _{L}\) and all \(E\in D_{n}:= E_{n} + L^{-2} [-1,1]\). Since
there exists \(L_0 \geqslant L_0^{\prime \prime }\) such that for all \(L \geqslant L_0\), all \(\omega \in (\Omega _L(\alpha ))^c\), all \(E\in {\mathcal {W}}_{L}\) and all \(x\in \Gamma _{L}\) we have
\(\square \)
Proof of Theorem 3.4
-
(i)
Let us first proof (3.12). For every \(L\in {\mathbb {N}}\), \(x\in \Gamma _L\), \(E\in {\mathbb {R}}\) and \(\omega \in \Omega \), we infer from (3.7) that
$$\begin{aligned} r_{x}^\omega (E)^2 = \phi ^\omega _E(x)^2+\phi ^\omega _E(x-1)^2 = \Big |W^\omega (E;x,-L) \Big (\begin{array}{@{}c@{}} 1 \\ 0 \end{array} \Big )\Big |^2 /(R^{\omega }_{E})^2, \end{aligned}$$(A.42)with the normalisation
$$\begin{aligned} (R^{\omega }_{E})^2 :=\sum _{k=0}^{L-1}\Big |W^\omega (E;-L+1+2k,-L) \Big (\begin{array}{@{}c@{}} 1 \\ 0 \end{array} \Big )\Big |^2. \end{aligned}$$(A.43)Given \(\alpha >0\), Lemma A.5 provides the existence of a minimal length \(L_{0}\in {\mathbb {N}}\) such that for all \(L \geqslant L_0\), \(\omega \in (\Omega _L(\alpha ))^c\), \(x\in \Gamma _{L}\) and \(E\in {\mathcal {W}}_{L}\), the two-sided estimate
$$\begin{aligned} (R^{\omega }_{E})^2 \in [L{{\,\mathrm{e}\,}}^{-3c_v},L{{\,\mathrm{e}\,}}^{3c_v}] \end{aligned}$$(A.44)holds. Thus, (A.44), another application of Lemma A.5 and (A.42) yield (3.12) with the constant
$$\begin{aligned} C = {{\,\mathrm{e}\,}}^{6c_v}, \end{aligned}$$(A.45)and (A.12) implies (3.9). To prove the level-spacing estimate (3.11), let \(L_{0}\) be as above, \(L \geqslant L_0\), \(\omega \in (\Omega _L(\alpha ))^c\) and let \(E,E'\in {\mathcal {W}}_{L}\) be two adjacent eigenvalues of \(H_L^\omega \) with \(E<E'\). For \(E^{(\prime )}\) to be an eigenvalue, Dirichlet boundary conditions \(\phi ^{\omega }_{E^{(\prime )}}(L)=0\) have to be met on the right-hand side of \(\Gamma _{L}\), that is, \(\theta ^\omega _{L}(E^{(\prime )})\in \pi /2+\pi {\mathbb {Z}}\). Since \(\theta ^\omega _{L}\) is a continuous, increasing function with respect to the energy, E and \(E'\) are adjacent eigenvalues if and only if the Prüfer-angle difference satisfies \(\theta _{L}^\omega (E^\prime )-\theta _{L}^\omega (E) =\pi \). Using (3.19), this can be rewritten as
$$\begin{aligned} \pi = \int _E^{E^\prime }{\mathrm {d}}\varepsilon \, \frac{\mathrm {d}}{\mathrm {d}\varepsilon } \theta ^\omega _{L}(\varepsilon ) = \int _E^{E^\prime }{\mathrm {d}}\varepsilon \sum _{x=-L}^{L-1} \left( \frac{\phi _\varepsilon ^\omega (x)}{r_L^\omega (\varepsilon )} \right) ^{2} = \int _E^{E^\prime }{\mathrm {d}}\varepsilon \; \frac{1}{\big (r_L^\omega (\varepsilon )\big )^{2}}.\nonumber \\ \end{aligned}$$(A.46)The eigenfunction estimate (3.12) does not apply directly to \(r_L^\omega (\varepsilon )\) for \(\varepsilon \in {\mathcal {W}}_{L}\), but only after an additional iteration with the transfer matrix
$$\begin{aligned} \big (r_L^\omega (\varepsilon )\big )^{2} = \Big | W_{V^{\omega }(L-1)}(\varepsilon ) \Big (\begin{array}{@{}c@{}} \cos \theta ^{\omega }_{L-1}(\varepsilon ) \\ \sin \theta ^{\omega }_{L-1}(\varepsilon ) \end{array} \Big )\Big |^{2} \big (r_{L-1}^\omega (\varepsilon )\big )^{2}. \end{aligned}$$(A.47)We already have \(\big (r_{L-1}^\omega (\varepsilon )\big )^{2} \in L^{-1} [C^{-1},C]\) for every \(\omega \in (\Omega _L(\alpha ))^c\) by (3.12). Since \( \max _{V\in \{0,1\}} \Vert W_{V}(\varepsilon )\Vert \leqslant {{\,\mathrm{e}\,}}^{c_{v}/4} \leqslant C\) uniformly in \(\varepsilon \in {\mathcal {W}}_{L}\) by (A.19), we deduce from (A.21) that \(\big (r_L^\omega (\varepsilon )\big )^{2} \in L^{-1} [C^{-3},C^{3}]\). Inserting this into (A.46), yields
$$\begin{aligned} E^\prime -E\in \frac{\pi }{L} \; [C^{-3},C^{3}]. \end{aligned}$$(A.48) -
(ii)
The existence of the density of states \({\mathcal {N}}'(E_{c})\) follows from [JSBS03, Thm. 3], the upper and lower bounds from Dirichlet–Neumann bracketing and the eigenvalue spacing in the critical energy window, as we show now. For \(L\in {\mathbb {N}}\) we introduce the restricted Schrödinger operators \(H^{\omega ,\,D/N}_L\) with Dirichlet, respectively Neumann, boundary conditions
(A.49)Their integrated densities of states at energy \(E\in {\mathbb {R}}\) are given by
$$\begin{aligned} {\mathcal {N}}_L^{\omega ,\, D/N}(E):={{\,\mathrm{tr}\,}}\Big \{1_{\leqslant E}\big (H^{\omega ,\,D/N}_L\big )\Big \}. \end{aligned}$$(A.50)Since \(H^{\omega ,\,D/N}_L\) are rank-2-perturbations of \(H^\omega _L\), the min-max-principle implies
$$\begin{aligned} {\mathcal {N}}_L^{\omega ,\, D/N}(E)\in {{\,\mathrm{tr}\,}}\big \{1_{\leqslant E}(H^\omega _L)\big \} + [-2,2]. \end{aligned}$$(A.51)According to [CL90, p. 312] Dirichlet–Neumann bracketing yields
$$\begin{aligned} \frac{1}{|\Gamma _L|}{\mathbb {E}}\big [{\mathcal {N}}_L^{D}(E)\big ] \leqslant {\mathcal {N}}(E)\leqslant \frac{1}{|\Gamma _L|}{\mathbb {E}}\big [{\mathcal {N}}_L^{N}(E)\big ] \end{aligned}$$(A.52)for every \(E\in {\mathbb {R}}\) and every \(L\in {\mathbb {N}}\). Thus, we conclude from (A.51) and (A.52) that
$$\begin{aligned} {\mathcal {N}}(E+\varepsilon )-{\mathcal {N}}(E-\varepsilon ) \in \frac{1}{|\Gamma _L|} {\mathbb {E}}\big \{ {{\,\mathrm{tr}\,}}1_{]E-\varepsilon ,E+\varepsilon ]}(H_L)\big \} + \frac{4}{|\Gamma _L|} \; [-1,1] \end{aligned}$$(A.53)for every \(\varepsilon >0\). For fixed \(\alpha \in \;]0,1/2[\) let \(\varepsilon _L:=L^{-1/2-\alpha }\) be half the width of the critical energy window \({\mathcal {W}}_{L}\) around \(E_{c} \in \{0,v\}\). Theorem 3.4(i) provides the existence of a minimal length \(L_{0}\in {\mathbb {N}}\) such that for all \(L\geqslant L_0\) and all \(\omega \in (\Omega _L(\alpha ))^c\) and we have
$$\begin{aligned} \frac{2\varepsilon L}{\pi C^3} - 1 \leqslant {{\,\mathrm{tr}\,}}\big \{1_{]E_{c}-\varepsilon ,E_{c}+\varepsilon ]}(H^\omega _L)\big \} \leqslant \frac{2\varepsilon C^3 L}{\pi } + 1. \end{aligned}$$(A.54)The estimates (A.54) and (A.53) imply for \(L\geqslant L_{0}\)
$$\begin{aligned} \frac{{\mathcal {N}}(E_{c} + \varepsilon _L) - {\mathcal {N}}(E_{c} - \varepsilon _L)}{2\varepsilon _L}&\in \frac{1}{ 2\varepsilon _L |\Gamma _L|} \; {\mathbb {E}} \big \{ 1_{\Omega _{L}(\alpha )} {{\,\mathrm{tr}\,}}1_{]E_{c}-\varepsilon _{L},E_{c}+\varepsilon _{L}]}(H_L)\big \} \nonumber \\&\quad + \frac{{\mathbb {P}}\big \{\big (\Omega _{L}(\alpha )\big )^{c}\big \}}{2\varepsilon _L |\Gamma _L|} \; \Big [\frac{2\varepsilon _{L}L}{\pi C^{3}}-1, \frac{2\varepsilon _{L} C^3 L}{\pi } + 1\Big ]\nonumber \\&\quad + \frac{2}{\varepsilon _L |\Gamma _L|} \;[-1,1] \nonumber \\&\subseteq \frac{{\mathbb {P}}\big \{\big (\Omega _{L}(\alpha )\big )^{c}\big \} L}{\pi |\Gamma _L|} \; [C^{-3}, C^{3}] \nonumber \\&\quad + \Big ( \frac{{\mathbb {P}}\{\Omega _{L}(\alpha )\}}{2\varepsilon _{L}} + \frac{3}{\varepsilon _{L}|\Gamma _{L}|}\Big ) \; [-1,1]. \end{aligned}$$(A.55)Now, the claim follows in the limit \(L\rightarrow \infty \). \(\quad \square \)
We finish with an elementary auxiliary result needed in the proof of Theorem 2.1.
Lemma A.6
Let \(\gamma \in \;]0,1/2[\) and \(\gamma _L:=\lfloor (\gamma +\gamma ^2)L\rfloor -\lfloor \gamma L\rfloor \) for \(L\in {\mathbb {N}}\). Then for all \(L^\prime \in {\mathbb {N}}\) there exists \(L\in {\mathbb {N}}\) such that \(L^\prime =\gamma _L\).
Proof
As \(\gamma <1\) and \(\gamma +\gamma ^2<1\), we infer \(\lfloor (\gamma +\gamma ^2)(L+1)\rfloor -\lfloor (\gamma +\gamma ^2)L\rfloor \in \{0,1\}\) and \(\lfloor \gamma (L+1)\rfloor -\lfloor \gamma L\rfloor \in \{0,1\}\) for all \(L\in {\mathbb {N}}\). Thus, we have \(\gamma _{L+1}-\gamma _L\in \{-1,0,1\}\) for all \(L\in {\mathbb {N}}\). Together with \(\gamma _1=0\) and \(\lim _{L\rightarrow \infty }\gamma _L=\infty \), this yields the claim. \(\quad \square \)
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Müller, P., Pastur, L. & Schulte, R. How Much Delocalisation is Needed for an Enhanced Area Law of the Entanglement Entropy?. Commun. Math. Phys. 376, 649–679 (2020). https://doi.org/10.1007/s00220-019-03523-3
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DOI: https://doi.org/10.1007/s00220-019-03523-3