36 Interaction counting in lattice domains
Let \(G\) be a graph on a site set \(V\). Graph distance \(d_G\) takes the value \(\infty \) between different components. All walks below remain in \(G\); they need not remain in an interaction support. These are the counting ingredients in [ 247 , Sections 2 and 4 ] .
36.1 Walks through overlapping supports
Assign a nonnegative integer range \(r(X)\) to each support \(X\subseteq V\). Let \(X_0,\ldots ,X_m\) satisfy \(X_j\cap X_{j+1}\ne \varnothing \), and suppose any two sites of \(X_j\) can be joined by a walk in \(G\) of length at most \(r(X_j)\). If \(x\in X_0\) and \(y\in X_m\), there is a walk from \(x\) to \(y\) of length at most \(\sum _{j=0}^m r(X_j)\). For the common range \(R\), this is \((m+1)R\).
Induct on \(m\). For \(m=0\), use the range condition on \(X_0\). Otherwise choose \(z\in X_0\cap X_1\). Concatenate the walk from \(x\) to \(z\) in the range condition with the inductively constructed walk from \(z\) to \(y\). Walk lengths add.
Under the common-range hypotheses of Theorem 36.1.1, \(d_G(x,y)\le (m+1)R\), and \(x,y\) belong to the same connected component. Consequently no such chain exists when the components differ, when \(d_G(x,y)=\infty \), or when \((m+1)R{\lt}d_G(x,y)\).
The constructed walk proves reachability, equality of components, and the upper bound on distance. Each exclusion contradicts one of these conclusions. The bound counts the initial support even when \(m=0\).
36.2 Ambient lattice counting
For \(a,b\in \mathbb {Z}^2\), set \(\ell (a,b)=|a_1-b_1|+|a_2-b_2|\). In particular, \(\ell (a,a)=0\).
The function \(\ell \) satisfies the triangle inequality. Let \(\iota :V\to \mathbb {Z}^2\) assign integer coordinates such that each graph edge has displacement at most one. A walk \(p\) from \(a\) to \(b\) then satisfies \(\ell (\iota (a),\iota (b))\le |p|\). If \(d_G(a,b)\le R{\lt}\infty \), the displacement is at most \(R\).
Coordinate absolute values satisfy the triangle inequality. Induct over the edges of the walk and add the one-step displacement bounds. For finite graph distance, choose a shortest walk.
The exact ambient cardinality and its graph-ball consequences are given in Theorem 36.4.2.
36.3 Original-support budgets
Let \(B\) be a finite neighborhood and let \(\mathcal F\) be a finite family of distinct subsets of \(B\), each containing \(a\). Then \(|\mathcal F|\le 2^{|B\setminus \{ a\} |}\). If \(a\in B\), this equals \(2^{|B|-1}\).
Deleting \(a\) maps the family injectively into the power set of \(B\setminus \{ a\} \). Inserting \(a\) recovers the original support.
Let \(\mathcal F\) be a finite family of distinct supports, with weights \(w_X\le J\) and \(J\ge 0\). Suppose each support containing \(a\) is contained in \(B\), where \(a\in B\). Then \(\sum _{X\in \mathcal F:\, a\in X}w_X\le 2^{|B|-1}J\).
Bound each summand by \(J\) and apply the count to the subfamily containing \(a\). The nonnegative factor \(J\) preserves the inequality.
For nonnegative weights on a finite family of distinct supports and any finite region \(S\),
If each inner site sum is at most \(b\), the left side of (1) is at most \(|S|b\).
A support meeting \(S\) is counted at least once on the right; all additional occurrences have nonnegative weight. Interchange the two finite sums, then apply the site budget.
For a finite family \(\mathcal F\) and weights \(w_X\), define recursively
Repeated supports are permitted in the chain.
Suppose the original weights are nonnegative, every original support has cardinality at most \(v\), and every site budget is at most \(b\ge 0\). Then \(W_n(X)\le (vb)^n\) for each \(X\in \mathcal F\).
Induct on \(n\). For the step, bound every \(W_n(Y)\) in (3) by \((vb)^n\). The weights of supports meeting \(X\) sum to at most \(|X|b\le vb\), giving the next power.
36.4 Exact lattice constants
For \(a\in \mathbb {Z}^2\) and a nonnegative integer \(R\), let \(D_R(a)=\{ x\in \mathbb {Z}^2:\ell (a,x)\le R\} \) be the finite lattice diamond.
The diamond \(D_R(a)\) has cardinality \(v_R=1+2R(R+1)\). Let \(\iota :V\to \mathbb {Z}^2\) be injective. A finite set \(S\subseteq V\) with \(\ell (\iota (a),\iota (x))\le R\) for each \(x\in S\) has at most \(v_R\) elements. If every graph edge has displacement at most one, the same bound holds when every \(x\in S\) is reached from \(a\) by a graph walk of length at most \(R\), or when \(d_G(a,x)\le R\). This is the local counting bound of [ 247 , Section 2 ] .
Translate and reflect the diamond so that its anchor is zero. For \(x\in [-R,R]\cap \mathbb {Z}\), its vertical fiber has \(2(R-|x|)+1\) sites, and distinct fibers are disjoint. Thus
For the last equality, induct on \(R\). The initial sum is one. Increasing \(R\) by one adds two sites to each of the \(2R+1\) old fibers and two one-site endpoint fibers. The resulting increment is \(4R+4\), which agrees with the difference of the right side of (4). An injective coordinate map places \(S\) inside the diamond. The walk displacement bound and a shortest walk give the two graph-distance consequences.
Let \(V\) be a finite graph embedded injectively in \(\mathbb {Z}^2\), with edge displacement at most one. Let \(\mathcal F\) be a finite family of distinct finite supports such that any two sites in a support admit a walk in the full graph of length at most the nonnegative integer \(R\). Put \(v_R=1+2R(R+1)\) and \(\mu _R=2^{v_R-1}\). Each original support has at most \(v_R\) sites, and at most \(\mu _R\) original supports contain any specified site. For \(J\ge 0\) and real weights \(w_X\le J\),
If also \(w_X\ge 0\) for each \(X\in \mathcal F\), then
The continuation bound holds for each original support \(X\) and permits repetitions. Both bounds apply to \(w_X=\lVert h_X\rVert \) for elements \(h_X\) of any seminormed additive group with \(\lVert h_X\rVert \le J\). These are the interaction budgets used in [ 247 , Sections 2 and 4 ] .
A nonempty support lies in the radius-\(R\) ball around any one of its sites; the empty support satisfies the same cardinality bound. Every support containing \(a\) lies in that ball, which has at most \(v_R\) sites. Deleting \(a\) injects the family of such supports into the subsets of the remaining ball, giving at most \(\mu _R\) choices. Bounding each summand by \(J\) gives (5). Apply the chain-growth bound with \(v=v_R\) and \(b=\mu _RJ\) to obtain (6). Norms are nonnegative, so they satisfy the same inequalities.
36.5 Chains reaching a target
Let \(\mathcal F\) be a finite family of distinct finite supports in a graph \(G\) on \(V\), and let \(w_X\in \mathbb {R}\). Walks remain in \(G\) and may leave an individual support. The graph itself need not be finite or connected.
For a target \(y\in V\) and a finite support \(X\), define
Thus the initial support is tested at \(n=0\), and a support may be revisited at subsequent steps.
If \(w_Y\ge 0\) for each \(Y\in \mathcal F\), then \(0\le T_n^y(X)\le W_n(X)\) for every finite support \(X\) and every \(n\ge 0\).
Suppose every pair of sites in each \(X\in \mathcal F\) admits a walk of length at most the nonnegative integer \(R\). Fix \(X\in \mathcal F\) and an anchor \(a\in X\). For arbitrary real weights, \(T_n^y(X)=0\) whenever there is no walk from \(a\) to \(y\) of length at most \((n+1)R\). In particular, it vanishes if \((n+1)R{\lt}d_G(a,y)\), including \(d_G(a,y)=\infty \).
Induct on \(n\). At zero, \(y\in X\) would give the forbidden range-\(R\) walk. For the step, choose \(z\in X\cap Y\) for each support \(Y\) meeting \(X\). A walk from \(z\) to \(y\) of length at most \((n+1)R\), preceded by the range-\(R\) walk from \(a\) to \(z\), would have length at most \((n+2)R\). Thus induction gives \(T_n^y(Y)=0\), and every summand in (8) vanishes for any weight. The distance cases follow because a walk bounds \(d_G\) by its length.
Under the range hypotheses of Theorem 36.5.3, suppose \(w_Y\ge 0\), \(|Y|\le v\) for each \(Y\in \mathcal F\), and \(\sum _{Y\in \mathcal F:\, x\in Y}w_Y\le b\) for every site \(x\), where \(v\) is a nonnegative integer and \(b\ge 0\). For \(X\in \mathcal F\), \(a\in X\), and \(n\ge 0\),
In the finite lattice setting of Theorem 36.4.3, one may take \(v=v_R\) and \(b=\mu _RJ\).
If \(d_G(a,y)\le (n+1)R\), use \(T_n^y(X)\le W_n(X)\le (vb)^n\). Otherwise Theorem 36.5.3 makes the left side zero. The exact lattice budget gives the final specialization.
36.6 Exponential generating series
Under the hypotheses of Theorem 36.5.4, let \(d_G(a,y)=D\) for a nonnegative integer \(D\), and let \(\mu \ge 0\). Put \(\kappa =vb\). Then
The right side of (10) equals \(\kappa ^n e^{\mu ((n+1)R-D)}\). If \(D\le (n+1)R\), its exponential factor is at least one, and \(T_n^y(X)\le W_n(X)\le \kappa ^n\). Otherwise \(T_n^y(X)=0\) and the right side is nonnegative.
For real \(t\), the exponential generating series of the target-chain coefficients is
The absolute value of time gives the same series for \(t\) and \(-t\).
Under the hypotheses of Theorem 36.6.1, the series in (11) converges and satisfies
This bounds the scalar interaction-chain series used in the proof of [ 247 , Lemma 4.1 ] .
Set \(C=e^{\mu R-\mu D}\) and \(A=vb\, e^{\mu R}\). The coefficient bound gives
The terms on the right sum to \(C\exp (2|t|A)\) by the exponential power series. Comparison proves summability of the nonnegative terms on the left, and summing (13) proves (12).
Under the range hypotheses of Theorem 36.5.3, if \(d_G(a,y)=\infty \), then \(S_t^y(X)=0\) for every real \(t\) and arbitrary real weights, including signed weights.
36.7 Graph-distance propagation in lattice domains
Let \(\Lambda \subseteq \mathbb {Z}^2\) be a finite domain with induced graph distance \(d_\Lambda \), and let \(H=\sum _Xh_X\) be a finite-range Hamiltonian on \(\Lambda \) with range \(R\) and term-norm bound \(J\), as in Definition 27.37.2. Put \(v_R=1+2R(R+1)\) and \(\mu _R=2^{v_R-1}\), let \(\tau _t(B)=e^{itH}Be^{-itH}\), and let \(N_l(a)=\{ x\in \Lambda :d_\Lambda (a,x)\le l\} \). For a set \(K\) of sites, \(E_K\) is the normalized partial trace of Definition 33.9.12.
Adjacent sites of \(\Lambda \) have ambient displacement one, and at most \(2(d+1)^2\) sites lie at distance exactly \(d\) from any site. Every original support has \(d_\Lambda \)-diameter at most \(R\) and at most \(v_R\) sites, and for every site \(x\),
A nearest-neighbor edge changes one coordinate by one. The sphere of radius \(d\) lies in the diamond of radius \(d\), which has \(1+2d(d+1)\le 2(d+1)^2\) sites. The remaining bounds are the diamond support and multiplicity counts applied to the family of original supports, with every term norm at most \(J\); one support exists, so \(J\ge 0\).
Let \(q\ge 1\). There are positive constants \(C,v,c\), depending only on \(q,R,J\), with the following property. For every domain \(\Lambda \), every Hamiltonian \(H\) as above, every original support \(X\) with anchor \(a\in X\), every operator \(A\) supported in \(X\), every site \(y\), every on-site operator \(B_y\) at \(y\), and every real \(t\),
when \(d_\Lambda (a,y){\lt}\infty \), and the commutator is zero when \(d_\Lambda (a,y)=\infty \). Moreover, for every integer \(l\ge 0\),
This is [ 247 , Lemma 4.1 ] . Explicitly, for every \(\mu \ge 0\) and every integer \(n\le d_\Lambda (a,y)\), \(\| [\tau _t(A),B_y]\| \le 2e^{\mu R}\| A\| \| B_y\| \exp (2v_R\mu _RJe^{2\mu R}|t|-\mu n)\).
Apply Theorem 33.9.10 and Lemma 33.9.11 on the induced graph of \(\Lambda \), with an anchor family taking the value \(a\) at \(X\), support diameter \(R\), support size \(v_R\) and site budget \(b_0=\mu _RJ\) from Lemma 36.7.1. Apply Theorem 33.9.16 with sphere growth \(2(d+1)^2\). Both estimates have constants determined by \(R\) and \(J\). Take the larger of the two prefactors and of the two velocities, and the smaller of the two decay rates.
36.8 Localization from an arbitrary region
For any two elements \(X,A\) of a normed ring, \(\| XA-AX\| \leq 2\| A\| \| X\| \).
The triangle inequality and submultiplicativity give \(\| XA-AX\| \leq \| X\| \| A\| +\| A\| \| X\| \).
Let \(\mathcal A\) be a complete real normed star algebra satisfying the \(C^*\) identity, and let \(K^*=-K\). For \(A,B\in \mathcal A\) and real \(t\),
Since \(K^*=-K\), the element \(U=e^{tK}\) is unitary with \(U^*=e^{-tK}\). Using \(U^*U=UU^*=1\),
By the \(C^*\) identity, \(\| UXU^*\| =\| X\| \) for every \(X\in \mathcal A\). Taking \(X=[A,e^{-tK}Be^{tK}]\) gives the claim.
Fix integers \(q\geq 1\) and \(R\geq 0\), and a real number \(J\). There are positive constants \(C,v,c\) with the following property. Let \(\Lambda \subseteq \mathbb {Z}^2\) be any finite domain, and let \(H\) be a finite-range Hamiltonian of range \(R\) and term-norm bound \(J\) on \(\Lambda \). For a region \(S\subseteq \Lambda \), write \(N_l(S)=\{ y\in \Lambda :d_\Lambda (y,S)\leq l\} \), with \(N_l(\varnothing )=\varnothing \). If \(A\) is supported on \(S\), then for every integer \(l\geq 0\) and real \(t\),
Empty domains and empty regions are included. This is the operator localization estimate used in [ 248 ] .
Let \(C_0,v,c\) be the constants of Lemma 36.7.2. If \(y\notin N_l(S)\), then \(N_l(y)\) is disjoint from \(S\). For an on-site unitary \(U\) at \(y\), the operator \(E_{N_l(y)}(\tau _{-t}(U))\) therefore commutes with \(A\). Put \(D=\tau _{-t}(U)-E_{N_l(y)}(\tau _{-t}(U))\). The singleton localization estimate gives \(\| D\| \leq C_0e^{v|t|-cl}\), so the two commutator identities yield
Lemma 33.9.15 sums these bounds over at most \(|\Lambda |\) sites:
Independently, since \(\| \tau _t(A)\| =\| A\| \) and \(\| E_{N_l(S)}(X)\| \leq \| X\| \),
Taking the smaller of the two bounds proves the assertion with \(C=2C_0\). The same argument uses an empty sum when the domain is empty.
36.9 A supported Gaussian integral
Fix integers \(q\geq 1\) and \(R\geq 0\), and a real number \(J\). There are positive constants \(C,v,c\) with the following property. Let \(\Lambda \subseteq \mathbb {Z}^2\) be a finite domain, let \(H'\) be a Hamiltonian of range \(R\) and term-norm bound \(J\) on \(\Lambda \), and let \(H\) be any Hermitian operator on the same space. Suppose that \(W\) acts on \(Q\subseteq \Lambda \) and that \(D=H'-H\) acts on \(Z\subseteq \Lambda \). For each integer \(l\geq 0\), put \(B=N_l(Q\cup Z)\), where distance is measured in the induced graph. There is a differentiable path \(U\) such that
For every real \(t\), the operator \(U(t)\) is unitary and acts on \(B\). Choose this path before the Gaussian variance and time cutoff. For every \(\eta \geq 0\) and \(T\geq 0\), let \(\gamma _\eta \) be the centered Gaussian measure of variance \(\eta \), and define
Then \(M_{\eta ,T}\) acts on \(B\), its norm is at most \(\| W\| \), and
The integrals retain their original Gaussian mass. Zero variance, empty domains and empty regions are included. This is the supported Gaussian approximation used in [ 248 ] .
Choose \(C,v,c\) from Theorem 36.8.3. Apply Theorem 33.10.1 with the projection region \(B\). This constructs the path \(U\) from \(H',H,B\), independently of \(\eta ,T\). Set \(A_B(t)=E_B(e^{itH'}We^{-itH'})\). Both \(A_B(t)\) and \(U(t)\) act on \(B\); expectation contractivity and unitarity give \(\| A_B(t)U(t)\| \leq \| W\| \). Continuity and this bound imply Gaussian integrability. The expectation onto \(B\) commutes with integration and fixes the integrand in (18), proving the asserted support. The restricted Gaussian mass is at most one, which proves the norm bound.
Both \(W\) and \(D\) act on \(Q\cup Z\). For \(|t|\leq T\), the region estimate and the relative-evolution comparison give
Factor \(e^{itH'}We^{-itH}\) as \((e^{itH'}We^{-itH'})(e^{itH'}e^{-itH})\) and subtract \(A_B(t)U(t)\) in this order. Submultiplicativity gives the claimed error for the integrands. Integrating and using again that the restricted mass is at most one proves the comparison with (19).
36.10 Exact finite-size PEPS representations
The finite-size argument in [ 248 , Section 8 ] (07-assembly.tex, lines 203–214) uses a spanning tree to represent every vector exactly. Let \(G=(V,E)\) be a finite connected graph, let \(q\ge 1\), and put \(\Sigma =\{ 0,\ldots ,q-1\} ^{V}\) and \(N=|\Sigma |=q^{|V|}\).
Suppose \(|V|\ge 2\). Choose a connected spanning subgraph \(T\subseteq G\), a root \(r\in V\), and, at every vertex \(v\), an incident edge \(p(v)\) of \(T\). For \(\psi \colon \Sigma \to \mathbb {C}\), assign bond dimensions \(D_e=N\) when \(e\in T\) and \(D_e=1\) otherwise. Decode each active edge index as a configuration \(\tau _e\in \Sigma \), and define
The one-dimensional indices on \(E\setminus T\) do not enter the components.
For a three-vertex path, \(\tau _{r2},\tau _{23}\in \Sigma \) are the two contracted configuration indices; the open legs carry \(i_r,i_2,i_3\). Only \(A_r\) contains the coefficient \(\psi \). The same definition applies to a vertex of any degree.
Fix \(\sigma \in \Sigma \). If all factors in \(\prod _{v\in V}A_v((\tau _e)_{e\ni v},\sigma (v))\) are nonzero, then \(\tau _e=\sigma \) for every \(e\in T\). Conversely, this virtual assignment satisfies all equality constraints.
For an active edge \(e=\{ u,v\} \), the local constraints give \(\tau _{p(u)}=\tau _e=\tau _{p(v)}\). Connectivity propagates these equalities along a walk between any two vertices. Hence there is one common configuration \(\tau \). The physical constraint at each \(v\) gives \(\tau (v)=\sigma (v)\), so \(\tau =\sigma \). The inactive edges have a unique index because their dimension is one. Substituting \(\tau _e=\sigma \) verifies the converse directly.
For every finite connected graph with \(|V|\ge 2\) and every \(\psi \colon \Sigma \to \mathbb {C}\), there are a spanning tree \(T\subseteq G\) and tensors with dimensions \(D_e=N\) on \(T\) and \(D_e=1\) off \(T\) such that
Every bond is positive and at most \(q^{|V|}\). If \(\psi \ne 0\), then \(c_A\ne 0\).
Choose a spanning tree of \(G\). Its connectedness and \(|V|\ge 2\) provide an incident tree edge at each vertex. By Theorem 36.10.2, all terms of the contraction vanish except the assignment \(\tau _e=\sigma \). Its root factor is \(\psi (\sigma )\) and every other factor is one, giving (24). Since \(q\ge 1\), both possible bond dimensions are positive and at most \(N\).
A connected graph with one vertex represents every coefficient function by its single physical tensor. Thus every finite connected graph admits the exact representation with positive bonds bounded by \(q^{|V|}\). For an empty vertex set, however, the contraction is the scalar one for every tensor family.
For one vertex \(v\), set \(A_v(i)=\psi (\sigma _i)\), where \(\sigma _i(v)=i\). The graph has no edges, so the contraction is \(A_v(\sigma (v))=\psi (\sigma )\). For no vertices there is one empty virtual assignment, and its empty product is one.
The open \(w\times h\) nearest-neighbor grid is the Cartesian product of the path graphs on \(w\) and \(h\) vertices. It is connected exactly when \(w,h{\gt}0\). If \(L\ge 2\), its \(L\times L\) vertex set has at least two elements.
The product adjacency condition says that one coordinate agrees and the other differs by one. Each coordinate path is preconnected, and preconnectedness is preserved by the Cartesian product. The vertex set is nonempty exactly when both side lengths are positive. For \(L\ge 2\), the vertices \((0,0)\) and \((1,0)\) are distinct.
For \(q,L\ge 1\), every vector \(\psi \) on the open \(L\times L\) square grid has an exact PEPS with \(1\le D_e\le q^{L^2}\). For \(L\ge 2\), the dimensions can be chosen as \(q^{L^2}\) on a spanning tree and one off that tree. If \(\| \psi \| =1\), its contraction \(\Phi \) satisfies \(\Phi =\psi \), \(\| \Phi \| =1\), and \(\| \| \Phi \| ^{-1}\Phi -1\cdot \psi \| =0\).
The grid has \(L^2\) vertices. Apply the connected-graph result and identify equal coefficient functions with equal vectors in the physical Hilbert space. For a unit input the normalization scalar is one.
Fix \(q\ge 1\) and \(L_0\in \mathbb {N}\). For every \(0{\lt}L\le L_0\), every vector on the open \(L\times L\) square grid has an exact PEPS with positive bonds at most \(C_0=q^{L_0^2}\). This bound is independent of the vector and any Hamiltonian. For any \(C\in \mathbb {R}\) and \(r\ge 0\), the enlarged prefactor \(\max \{ C,C_0\} \) gives \(D_e\le \max \{ C,C_0\} L^r\) throughout the same range. If \(\chi {\gt}0\), then \(C_\chi =\max \{ C,C_0^{1/\chi }\} \) gives \(D_e\le (C_\chi L^r)^\chi \) on this range as well.
Since \(L^2\le L_0^2\) and \(q\ge 1\), the bound \(D_e\le q^{L^2}\le q^{L_0^2}\) follows. In particular the same constant covers the manuscript’s finite range \(2\le L{\lt}L_0\). Since \(L^r\ge 1\), multiplying the enlarged nonnegative prefactor by \(L^r\) preserves the bound. For the outer power, \(C_\chi L^r\ge C_0^{1/\chi }\); raising both nonnegative sides to \(\chi {\gt}0\) gives \((C_\chi L^r)^\chi \ge C_0\).
36.11 The finite-size approximation conclusion
Fix integers \(q\ge 1\) and \(L_0\ge 0\), and real numbers \(C\) and \(c\ge 0\). Set \(C'=\max \{ C,q^{L_0^2}\} \). For every integer \(0{\lt}L\le L_0\) and every unit vector \(\Omega \) on the open \(L\times L\) square, there is a nonzero PEPS \(\Phi \) on that square with \(1\le D_e\le C'L^c\) on every edge and a real phase \(\theta \) such that \(\| \| \Phi \| ^{-1}\Phi -e^{i\theta }\Omega \| \le L^{-1}\). This is the finite-size part of [ 248 , Section 8 ] (07-assembly.tex, lines 203–214).
Choose the exact representation from Theorem 36.10.7. Equality of its coefficients with those of \(\Omega \) gives \(\Phi =\Omega \). Thus \(\| \Phi \| =1\), so \(\Phi \ne 0\). Taking \(\theta =0\) makes the normalized error zero, which is at most \(L^{-1}\).
Fix integers \(q\ge 1\) and \(L_0\ge 0\), and real numbers \(C\) and \(c\ge 0\). There is a constant \(C'{\gt}0\) with \(C'\ge C\) such that, for every integer \(2\le L{\lt}L_0\) and every unit vector \(\Omega \) on the open \(L\times L\) square, there is a nonzero PEPS \(\Phi \) on that square with \(1\le D_e\le C'L^c\) on every edge and a real phase \(\theta \) satisfying \(\| \| \Phi \| ^{-1}\Phi -e^{i\theta }\Omega \| \le L^{-1}\). The constant is chosen before \(L\) and \(\Omega \), as required for the finite-size argument in [ 248 , Section 8 ] (07-assembly.tex, lines 203–214).
Take \(C'=\max \{ C,q^{L_0^2}\} \). Since \(q\ge 1\), the second entry of the maximum is positive, so \(C'{\gt}0\) and \(C'\ge C\). Apply Theorem 36.11.1 at each \(L\).
36.12 Removing finitely many exceptional sizes
For natural numbers \(q,L\), real numbers \(C,c\), and a vector \(\Omega \) in the physical space \((\mathbb C^q)^{\otimes L^2}\) of the open \(L\times L\) square, write \(\mathcal A_{C,c}(L,\Omega )\) if there are a nonzero PEPS \(\Phi \) on the original square graph and a real phase \(\theta \) such that every edge dimension satisfies \(1\le D_e\le CL^c\) and
The inverse and real-power conventions at zero do not affect any edge bound on the empty square; the error bound there uses \(0^{-1}=0\).
For real \(J,\Delta \), let \(\mathcal G_{q,J,\Delta }(L)\) be the set of triples \((H,E_0,\Omega )\) with the following properties. The Hamiltonian is a sum of site terms and nearest-neighbor edge terms supported on their designated sites or endpoints, each of operator norm at most \(J\). Its total sum is Hermitian; individual terms need not be. The remaining conditions are
Let \(q,L\) be natural numbers, \(C,C',c\) real numbers with \(C\le C'\), and \(\Omega \) a vector on the open square. If \(\mathcal A_{C,c}(L,\Omega )\), then \(\mathcal A_{C',c}(L,\Omega )\).
Keep the same PEPS and phase. For every edge, \(D_e\le CL^c\le C'L^c\) because \(L^c\ge 0\). The normalized vector and its error are unchanged.
Fix integers \(q\ge 1\) and \(L_0\ge 0\), real \(J,\Delta ,C\), and \(c\ge 0\). Suppose \(\mathcal A_{C,c}(L,\Omega )\) holds for every integer \(L\ge \max \{ 2,L_0\} \) and every \((H,E_0,\Omega )\in \mathcal G_{q,J,\Delta }(L)\). There is one \(C'{\gt}0\) with \(C'\ge C\) such that \(\mathcal A_{C',c}(L,\Omega )\) holds for every integer \(L\ge 2\) and every \((H,E_0,\Omega )\in \mathcal G_{q,J,\Delta }(L)\). The exponent \(c\) is unchanged, and \(C'\) is independent of \(L,H,E_0,\Omega \). This is the finite-size argument in [ 248 , Section 8 ] (07-assembly.tex, lines 203–214).
Theorem 36.11.2 gives a positive \(C'\ge C\) covering all \(2\le L{\lt}L_0\) and all unit vectors. Its choice is \(C'=\max \{ C,q^{L_0^2}\} \). For \(L{\lt}L_0\), apply that theorem using \(\| \Omega \| =1\) from (26). For \(L\ge L_0\), apply the assumed approximation and Theorem 36.12.1. Both cases use the same \(C'\).
The uniform polynomial approximation assertion
is equivalent to
In both assertions, the constants are chosen before the size, Hamiltonian, energy, and ground vector.
36.12.1 Assembly from a compressed dyadic operator network
For large sizes, [ 248 , Section 8.1 ] (07-assembly.tex, lines 9–63) obtains from the protocol of its Proposition 7.1 and its compression theorem a party operator network with polynomial link dimensions whose operator is within \(CL^{-5}\) of \(|\Omega \rangle \langle \Omega |\) in trace norm. The statement below records this output as an assumption and derives the uniform approximation from it. The assumption is not proved here, so the result is a conditional form of Theorem 27.37.28, not that theorem.
Let \(L\ge 1\), \(C\ge 0\) and \(c\le c'\). If \(\mathcal A_{C,c}(L,\Omega )\), then \(\mathcal A_{C,c'}(L,\Omega )\).
Keep the same PEPS and phase; \(CL^c\le CL^{c'}\) because \(L\ge 1\) and \(C\ge 0\).
The assertion is the following. For every integer \(q\ge 2\) and all reals \(J,\Delta {\gt}0\) there are reals \(C,C_1,k\) and natural numbers \(B,\Delta _0,c,L_0\) such that for every integer \(L\ge \max \{ 2,L_0\} \) and every \((H,E_0,\Omega )\in \mathcal G_{q,J,\Delta }(L)\) there is an operator party network with the following properties. Every party is attached to a dyadic block inside the padded square, with at most \(B\) parties per block; every party has at most \(\Delta _0\) links; the two anchors of every link differ in each coordinate by at most \(c\) times the side of either endpoint block; every link dimension is at most \(C_1L^k\); and the operator \(\sigma \) of the network, with the physical pair of each party read at the fold of its anchor, satisfies
The constants are chosen before \(L,H,E_0,\Omega \). This is the conclusion of [ 248 , Section 8.1 ] (07-assembly.tex, lines 53–63), with the anchors of lines 102–114 and the network properties of Proposition 7.1 used in the proof of Lemma 8.2 (lines 128–131).
If the assertion of Definition 36.12.1.2 holds, then the uniform polynomial approximation assertion (27) holds: for every \(q\ge 2\) and \(J,\Delta {\gt}0\) there are \(C',c'{\gt}0\) such that \(\mathcal A_{C',c'}(L,\Omega )\) for every \(L\ge 2\) and every \((H,E_0,\Omega )\in \mathcal G_{q,J,\Delta }(L)\). This is the argument of [ 248 , Section 8 ] (07-assembly.tex, lines 53–214) after the compressed network has been obtained.
By Theorem 36.12.3 it suffices to treat large \(L\). Fix \(q,J,\Delta \) and take the constants of the assumption. Replace \(C_1\) by \(\max \{ C_1,1\} \) and \(k\) by \(\max \{ k,0\} \); the link bound persists since \(L\ge 1\). For \(L\ge \max \{ 2,L_0,2C\} \) one has \(2C\le L\le L^4\), hence \(2CL^{-5}\le L^{-1}\le 1/2\) and \(CL^{-5}{\lt}1\). Theorem 27.131.1.4 with \(\eta =CL^{-5}\) gives \(\mathcal A_{C_1^\chi ,k\chi }(L,\Omega )\) with \(\chi =8(2c+1)B\Delta _0\), and Theorem 36.12.1.1 raises the exponent to \(k\chi +1{\gt}0\). The constants \(C_1^\chi \), \(k\chi +1\) and the threshold depend only on \(q,J,\Delta \).