Tensor Network Theory: A formalization blueprint

F Basis of Normal Tensors: Supporting Results

This appendix supports Chapter 10. It proves the elementary normal-tensor consequences, Gram-matrix criteria, finite-dimensional change-of-basis facts, sector-blocking identities, direct-sum separation lemmas, and prepared-family bookkeeping used by the main BNT characterization, matching, and block-injectivity results.

F.1 Elementary normal-tensor and Gram-matrix support

Throughout this section, \(V^{(N)}(A)\) denotes the length-\(N\) matrix product vector of a tensor \(A\), and \(O_{AB}(N)\) denotes the corresponding mixed overlap. We first record elementary consequences of the two notions of normality used in Chapter 10, and then prove the finite-family linear-independence criteria used in the BNT characterization and matching arguments.

Lemma F.1.1 Positive bond dimensions in a coefficient-form BNT

Every block in a coefficient-form basis of normal tensors has positive bond dimension.

Proof

Eventual linear independence makes the matrix product vector of each block nonzero at some positive length. A tensor with zero bond dimension has zero matrix product vector at every length, which is a contradiction.

Lemma F.1.2 Bond dimension one implies irreducibility

Every tensor with a one-dimensional bond space is irreducible.

Proof

The only orthogonal projections on a one-dimensional complex vector space are zero and the identity.

Lemma F.1.3 Normality in bond dimension one

A tensor with one-dimensional bond space and identity transfer map is a normal tensor.

Proof

Irreducibility follows from the preceding lemma. The identity transfer map has spectral radius one, and its only eigenvalue is one.

Lemma F.1.4 Perron gauges preserve primitivity

Let \(\sigma \) be positive definite. The transfer map of the Perron gauge determined by \(\sigma \) is primitive if and only if the original transfer map is primitive.

Proof

The two transfer maps are similar through the invertible congruence \(X\mapsto \sigma ^{-1/2}X\sigma ^{-1/2}\). Similar linear maps have the same spectrum, so the condition that \(1\) is the only eigenvalue on the unit circle is unchanged.

Lemma F.1.5 Preservation of an algebraic BNT under positive-length MPV equality

Let \(A\) and \(A'\) have the same matrix product vectors at every positive length. If \((A_j)_{j=1}^{g}\) is a basis of normal tensors for \(A\), then the same family is a basis of normal tensors for \(A'\).

Proof

Substitute the positive-length MPV equality into the spanning identity for \(A\). Normality and eventual linear independence depend only on the family \((A_j)_{j=1}^{g}\).

Corollary F.1.6 Positive-length geometric proportionality phase

Let \(A\) and \(B\) be normal tensors of positive, possibly different, bond dimensions. Suppose that, for every positive \(N\), their matrix product vectors are proportional by a nonzero scalar. Then there is \(a\in \mathbb {C}\), with \(|a|=1\), such that \(|V^{(N)}(A)\rangle =a^N|V^{(N)}(B)\rangle \) for every positive \(N\). This is the positive-length one-normal-block consequence of [ CPGSV16 , Corollary A.3 and Theorem 2.10 ] .

Proof

Positive-length nonzero proportionality implies eventual nonzero proportionality. Apply Theorem 10.2.10.

Lemma F.1.7 Eventual linear independence from finite-index overlap orthonormality

Let \(I\) be a finite index set and let \((A_i)_{i \in I}\) be a finite family of tensors such that \(O_{A_iA_i}(N) \to 1\) for each \(i\), and \(O_{A_iA_j}(N) \to 0\) whenever \(i \neq j\). Then the MPV states \(\{ |V^{(N)}(A_i)\rangle \} _{i \in I}\) are linearly independent for all sufficiently large \(N\).

Proof

The Gram matrix of the family \(\{ |V^{(N)}(A_i)\rangle \} _{i \in I}\) converges entrywise to the identity matrix. Hence for all sufficiently large \(N\) it is invertible, so the MPV states are linearly independent.

The same conclusion is often more convenient with an explicit threshold rather than the eventual quantifier.

Theorem F.1.8 Existential BNT independence from overlap limits

If the self-overlaps of a finite block family tend to \(1\) and the cross-overlaps of distinct blocks tend to \(0\), then the MPV states are linearly independent for all sufficiently large system sizes.

Proof

This is Lemma F.1.10, restated with an explicit threshold \(N_0\).

Lemma F.1.9 Eventual linear independence for two families

Let \((A_j)_{j=1}^{g_A}\) and \((B_k)_{k=1}^{g_B}\) be finite families of tensors. Suppose the overlaps inside each family are asymptotically orthonormal, and suppose every mixed overlap \(O_{A_jB_k}(N)\) tends to \(0\). Then the combined MPV family

\begin{align} \{ |V^{(N)}(A_j)\rangle \} _{j=1}^{g_A} \cup \{ |V^{(N)}(B_k)\rangle \} _{k=1}^{g_B} \notag \end{align}

is linearly independent for all sufficiently large \(N\).

Proof

Apply the finite-index Gram-matrix criterion to the disjoint union of the two index sets. The within-family hypotheses give the diagonal and off-diagonal limits inside each block, and the mixed overlap hypothesis gives the off-diagonal limits between the two blocks.

The following two linear-algebra consequences package the eventual Gram-matrix criterion and its coefficient-extraction corollary.

Lemma F.1.10 Eventual linear independence from overlap orthonormality

Let \((A_j)_{j=1}^g\) be a finite family of tensors such that \(O_{A_jA_j}(N) \to 1\) for each \(j\) and \(O_{A_iA_j}(N) \to 0\) for \(i \neq j\). Then the MPV states \(\{ |V^{(N)}(A_j)\rangle \} _{j=1}^g\) are linearly independent for all sufficiently large \(N\).

Proof

Apply Lemma F.1.7 with \(I = \{ 1,\ldots ,g\} \).

Eventual linear independence is also what converts an equality of two finite linear combinations into equality of their coefficients; this is the mechanism behind the coefficient identities of Chapter 11.

Lemma F.1.11 Eventual coefficient extraction from linear independence

If a finite family of vectors is linearly independent for all sufficiently large \(N\), and two finite linear combinations of that family are equal for all sufficiently large \(N\), then the corresponding coefficients are equal for all sufficiently large \(N\).

Proof

Move the two linear combinations to one side. Linear independence forces each coefficient difference to vanish at every sufficiently large length.

When two BNT families must be compared against each other, the same Gram-matrix criterion applies to their disjoint union, provided the mixed overlaps also decay. This is the form used in the exact sector matching of Section 10.8.

F.2 Change of basis, power sums, and sector bookkeeping

This section collects the finite-dimensional linear algebra behind alternative BNT comparisons, the extrapolation identities for finite sums of geometric sequences, and the bookkeeping identities for sector decompositions. A sector has copy weights \(\mu _{j,q}\ne 0\), coefficient \(c_{N,j}=\sum _q\mu _{j,q}^N\), representative bond dimension \(D_j\), and total bond dimension \(D_{\mathrm{tot}}=\sum _j r_jD_j\).

Lemma F.2.1 Invertible change of basis
#

Let \(v_1, \ldots , v_g\) and \(w_1, \ldots , w_g\) be two linearly independent families in a complex vector space with the same span. Then there exists an invertible matrix \(U \in \mathrm{GL}_g(\mathbb {C})\) such that \(w_j = \sum _{i=1}^g U_{ij} v_i\) for every \(j\).

Proof

Because the two families span the same subspace, each \(w_j\) has a unique expansion in the basis \(\{ v_i\} _{i=1}^g\); these coefficients form the columns of \(U\). If \(U a = 0\), then the corresponding linear relation among the \(w_j\) is trivial because the \(w_j\) are linearly independent. Thus \(U\) is injective, hence invertible.

Lemma F.2.2 Eventual change of basis from equal spans

If two finite families of blocks have asymptotically orthonormal overlaps within each family and their MPV spans agree for every system size \(N\), then for all sufficiently large \(N\) there exists an invertible matrix \(U_N\) expressing the MPV states of one family as linear combinations of the MPV states of the other.

Proof

By Lemma F.1.10, both families are linearly independent for all sufficiently large \(N\). At such an \(N\), the span equality lets us apply Lemma F.2.1.

Lemma F.2.3 Eventual vanishing of a finite geometric sum

Let \(w_1,\ldots ,w_n\) be nonzero complex numbers. If \(\sum _i c_i w_i^N=0\) for every sufficiently large \(N\), then the same equality holds for every non-negative exponent.

Proof

Induct on the number of terms. Subtracting \(w_1\) times the equality at exponent \(N\) from the equality at exponent \(N+1\) gives \(\sum _{i=2}^{n} c_i(w_i-w_1)w_i^N=0\). The induction hypothesis yields this equality at every exponent, so the original sum \(S_N=\sum _i c_iw_i^N\) satisfies \(S_{N+1}=w_1S_N\) for every \(N\). Since \(S_N\) eventually vanishes and \(w_1\ne 0\), it follows that \(S_0=0\) and hence \(S_N=0\) for every \(N\).

Lemma F.2.4 Eventual power-sum equality holds at every exponent

Let \(a_1,\ldots ,a_m\) and \(b_1,\ldots ,b_n\) be nonzero complex numbers. If their power sums agree for every sufficiently large exponent, then \(\sum _i a_i^k=\sum _j b_j^k\) for every non-negative exponent \(k\).

Proof

Set \(w_l=a_l\) for \(l\leq m\) and \(w_{m+l}=b_l\) for \(l\leq n\), with coefficients \(c_l=1\) for \(l\leq m\) and \(c_l=-1\) for \(l{\gt}m\). Then \(\sum _{l=1}^{m+n}c_lw_l^k=\sum _i a_i^k-\sum _j b_j^k\). The hypothesis makes this expression zero for every sufficiently large \(k\). Lemma F.2.3 makes it zero for every \(k\), which is the required power-sum equality.

Theorem F.2.5 Equal power sums imply equal multisets
#

Let \(\alpha , \beta : \{ 0, \ldots , n-1\} \to \mathbb {C}\). If \(\sum _i \alpha _i^k = \sum _i \beta _i^k\) for all \(k \ge 1\), then the multisets \(\{ \alpha _i\} \) and \(\{ \beta _i\} \) are equal.

Proof

Construct diagonal matrices \(\operatorname{diag}(\alpha )\) and \(\operatorname{diag}(\beta )\). The power-sum hypothesis gives \(\operatorname{tr}(\operatorname{diag}(\alpha )^k) = \operatorname{tr}(\operatorname{diag}(\beta )^k)\). By Theorem 10.5.1, the characteristic polynomials agree: \(\prod _i (X - \alpha _i) = \prod _i (X - \beta _i)\). Extracting roots gives multiset equality.

Theorem F.2.6 Representative dimensions are bounded by the total bond dimension

Let the representative \(A_j\) have bond dimension \(D_j\), and let \(D\) be the bond dimension of the flattened sector tensor. Then \(D_j\leq D\). If every \(D_j\) is positive and there are \(g\) representatives, then also \(g\leq D\).

Proof

Since \(r_j{\gt}0\), choose one copy of \(A_j\). Its contribution \(D_j\) is one non-negative summand in the total dimension of the flattened copy family, so \(D_j\leq D\).

For the second assertion, every representative has multiplicity \(r_j\geq 1\), and each copy has positive dimension \(D_j{\gt}0\). Therefore

\begin{align} g=\sum _j1 \leq \sum _j r_j \leq \sum _j r_jD_j =D. \notag \end{align}
Theorem F.2.7 Blocked sector coefficients and assembled tensor

The coefficient of the blocked decomposition satisfies

\begin{align} c_{P^{[p]},j}^{(N)} =\sum _q(\mu _{j,q}^{p})^N =c_{P,j}^{(Np)}. \label{eq:bnt_sector_block_coeff} \end{align}

Moreover, blocking the tensor assembled from \(P\) gives the same MPV family as the tensor assembled from the blocked sector decomposition.

Proof

The coefficient identity in (??) is \((\mu ^p)^N=\mu ^{pN}\). The tensor identity is Theorem E.4.8 applied to the flattened copy family.

Lemma F.2.8 Existence of an MPV phase class

A nonempty finite family of blocks has at least one MPV phase class.

Proof

Choose one original block index. Its occurrence in the phase-class enumeration supplies a phase class containing it.

Lemma F.2.9 Regrouping a matrix sum by MPV phase classes

Let \(F_k\) be a finite family of square matrices indexed by the original blocks. If \(k=(j,q)\) enumerates the copies in the MPV phase classes, then \(\sum _j\sum _q F_{j,q}=\sum _k F_k\).

Proof

Evaluate both sides at a pair of matrix indices and apply the bijective enumeration of the finite phase-class quotient.

Definition F.2.10 Single-copy sector decomposition
#

Given nonzero weights \((\mu _k)_{k=1}^r\) and blocks \((B_k)_{k=1}^r\), the single-copy sector decomposition has \(r\) sectors, one basis block \(B_k\) per sector, multiplicity \(1\), and sector weight \(\mu _k\). As a finite sum,

\begin{align} \sum _{k=1}^{r}\mu _k^{\, N}V^{(N)}(B_k)_\sigma & = V^{(N)}\! \left(\bigoplus _k\mu _kB_k\right)_\sigma . \label{eq:canonical_single_copy_sector} \end{align}
Lemma F.2.11 Single-copy sector decomposition preserves the represented family

The single-copy sector decomposition of \((\mu _k,B_k)_k\) represents the same MPS family as \(\bigoplus _k\mu _kB_k\).

Proof

Expanding the sector decomposition gives the left-hand side of (??), which is the finite block-sum expression for \(\bigoplus _k\mu _kB_k\).

Lemma F.2.12 Sector-decomposition coefficient is not eventually zero

For any sector decomposition \(P\) and any sector \(j\), the coefficient \(c_{P,j}^{(N)}=\sum _q\mu _{j,q}^N\) is not eventually zero in \(N\).

Proof

If the coefficient vanished for every \(N\geq M\), the finite geometric-sum extrapolation would make it vanish at every non-negative exponent. However, at exponent zero, \(c_{P,j}^{(0)}=\sum _q\mu _{j,q}^0=r_j{\gt}0\), which is impossible.

Lemma F.2.13 Sector coefficient is not eventually zero

For a BNT canonical form \(P\) and any sector \(j\), the sector coefficient \(c_{P,j}^{(N)} = \sum _q \mu _{j,q}^N\) is not eventually zero in \(N\). Only nonvanishing of the copy weights is used, not any modulus condition.

Proof

Apply Lemma F.2.12; its conclusion does not require the canonical-form assumptions.

F.2.1 Proportional matching and finite bijection extraction

The equal-MPV matching theorems in Chapter 10 are specializations of an eventual proportionality argument. We record that general mechanism and the finite-set construction used to package matches in both directions.

Let \(P\) and \(Q\) be BNT canonical forms whose total MPV families are eventually nonzero and proportional. For every sector \(j\) of \(P\), there is a sector \(k\) of \(Q\) with equal bond dimension, gauge-phase-equivalent basis tensor after the dimension identification, and non-decaying cross-overlap.

Proof

Suppose the chosen sector decays against every sector of \(Q\), and separate all such \(P\)-sectors from the remaining ones. For each remaining sector, choose a \(Q\)-sector with non-decaying overlap. Both blocks are normal by the canonical-form hypotheses. Theorem 10.2.7 rules out its decay alternative and supplies equal bond dimensions and a gauge-phase relation with a unit phase. Gauge-phase covariance therefore expresses that \(P\)-sector MPV as a geometric scalar multiple of the chosen \(Q\)-sector MPV.

Substitute these relations into the eventual proportionality identity. The combined-family Gram criterion makes the decaying residue together with the \(Q\) family eventually linearly independent. Exact coefficient extraction then makes the chosen sector coefficient eventually zero, contradicting its power-sum nonvanishing. Thus a non-decaying partner exists. A second application of Theorem 10.2.7 rules out decay and gives the required dimension equality and gauge-phase equivalence; no modulus-one overlap limit is assumed.

Theorem F.2.1.2 Full-basis matching under eventual proportionality

Under the same hypotheses, every sector of \(Q\) has an equal-dimensional, gauge-phase-equivalent partner in \(P\) with non-decaying cross-overlap.

Proof

Reverse the eventual proportionality and apply Theorem F.2.1.1 to each sector of \(Q\); symmetry of the overlap converts the resulting witness to the stated orientation.

Lemma F.2.1.3 Bijection from matches in both directions

Suppose every sector of \(Q\) has an equal-dimensional, gauge-phase-equivalent partner in \(P\) with non-decaying overlap, and the converse holds from \(P\) to \(Q\). Then the forward partners may be chosen as a bijection between the two finite sector sets, preserving all three properties.

Proof

Basis separation makes each partner map injective: two sectors with the same partner would be gauge-phase equivalent to one another. The injections in both directions force equal finite cardinalities, so the forward map is bijective.

F.3 Direct-sum separation and prepared-family bookkeeping

We now prove the supporting separation and regrouping results used by the source-facing block-injectivity and supplier theorems in Chapter 10. The direct-sum argument follows the ground-space uniqueness mechanism of [ PGVWC07 ] : disjoint local MPS spaces give pair-trace selectors, products of those selectors isolate one BNT block, and an injective prefix supplies an arbitrary matrix on that block. The remaining results identify dimensions while phase-equivalent prepared blocks are grouped into sectors and normalize the resulting finite weight family.

Let \(A^1,\ldots ,A^r\) be irreducible left-canonical representatives with normalized self-overlaps, and suppose that distinct same-dimensional representatives are not gauge-phase equivalent. Fix \(L_0{\gt}0\) such that every block is injective at lengths \(L_0\), \(L_0+1\), and \(3(L_0+1)\). Then each ordered pair \(k\ne j\) is trace-separated at the common length \(S=3(L_0+1)\): the map

\begin{align} (c_\omega )_{|\omega |=S} & \longmapsto \left(\sum _{|\omega |=S}c_\omega A^k_\omega , \sum _{|\omega |=S}c_\omega A^j_\omega \right) \notag \end{align}

is onto \(M_{D_k}(\mathbb {C})\oplus M_{D_j}(\mathbb {C})\). In particular, one may prescribe an arbitrary matrix on either block while making the same word combination vanish on the other block.

Proof

Put \(L=L_0+1\) and \(S=3L\). For a block \(A\), write

\begin{align} \Gamma _n^A(X) & =\sum _{|w|=n}\operatorname{tr}(XA_w)|w\rangle , & \mathcal G_n(A) & =\operatorname {im}\Gamma _n^A. \notag \end{align}

Block injectivity at \(L\) and \(S\) makes both boundary maps injective; in particular,

\begin{align} \dim \mathcal G_L(A^q) & =D_q^2 \qquad (1\leq q\leq r). \label{eq:app_bnt_local_space_dimension} \end{align}

Fix \(k\ne j\) and first order the pair so that \(D_j\leq D_k\). Suppose that a nonzero vector belongs to \(\mathcal G_S(A^k)\cap \mathcal G_S(A^j)\). There are boundary matrices \(X\) and \(Y\) such that

\begin{align} 0\ne \psi & =\Gamma _S^{A^k}(X)=\Gamma _S^{A^j}(Y). \label{eq:app_bnt_common_three_block_vector} \end{align}

Injectivity at \(S\) gives \(X\ne 0\) and \(Y\ne 0\). Split every length-\(S\) word as \(uvw\) with \(|u|=|v|=|w|=L\). Equality ?? gives

\begin{align} \operatorname{tr}(XA^k_uA^k_vA^k_w) & =\operatorname{tr}(YA^j_uA^j_vA^j_w). \label{eq:app_bnt_three_block_trace_relation} \end{align}

Because the length-\(L\) words of \(A^k\) span \(M_{D_k}(\mathbb {C})\) and \(X\ne 0\), the two-sided ideal generated by \(X\) is all of \(M_{D_k}(\mathbb {C})\):

\begin{align} \operatorname{span}\{ A^k_uXA^k_v:|u|=|v|=L\} & =M_{D_k}(\mathbb {C}). \label{eq:app_bnt_two_sided_span} \end{align}

Indeed, expand arbitrary left and right matrix units in length-\(L\) words; a nonzero entry of \(X\) then produces every matrix unit. Thus, for each \(Z\in M_{D_k}(\mathbb {C})\), choose coefficients \(a_{uv}\) with \(Z=\sum _{u,v}a_{uv}A^k_uXA^k_v\) and set \(R(Z)=\sum _{u,v}a_{uv}A^j_uYA^j_v\). Cyclicity of the trace and ??, applied to the word \(vwu\), yield

\begin{align} \operatorname{tr}(ZA^k_w) & =\sum _{u,v}a_{uv}\operatorname{tr}(XA^k_vA^k_wA^k_u) \notag \\ & =\sum _{u,v}a_{uv}\operatorname{tr}(YA^j_vA^j_wA^j_u) =\operatorname{tr}(R(Z)A^j_w). \notag \end{align}

Hence \(\Gamma _L^{A^k}(Z)=\Gamma _L^{A^j}(R(Z))\) for every \(Z\), and therefore

\begin{align} \mathcal G_L(A^k) & \subseteq \mathcal G_L(A^j). \label{eq:app_bnt_local_space_inclusion} \end{align}

Equations ?? and ?? give

\begin{align} D_k^2 & =\dim \mathcal G_L(A^k) \leq \dim \mathcal G_L(A^j)=D_j^2. \notag \end{align}

Together with \(D_j\leq D_k\), this forces \(D_j=D_k\) and equality in ??. This proves the unequal-dimension branch immediately: if \(D_j{\lt}D_k\), a nonzero intersection is impossible. Reversing the initial ordering treats \(D_k{\lt}D_j\) in the same way.

It remains to exclude the intersection when \(D_j=D_k\). Gauge-phase separation and Theorem 10.4.3 give, beyond any prescribed threshold, a chain length \(N{\gt}L\) for which the two periodic MPVs are not proportional. On the other hand, equality \(\mathcal G_L(A^k)=\mathcal G_L(A^j)\) gives identical translated length-\(L\) constraints on the \(N\)-site ring. The parent-Hamiltonian uniqueness mechanism identifies the corresponding chain ground spaces with the one-dimensional MPV spans:

\begin{align} \mathcal G_{N,L}(A^k) & =\mathbb {C}\, V^{(N)}(A^k), & \mathcal G_{N,L}(A^j) & =\mathbb {C}\, V^{(N)}(A^j). \notag \end{align}

Equality of the local spaces therefore forces these two MPV lines to be equal, contradicting the choice of \(N\). Consequently, for every distinct pair, including the unequal-dimensional pairs,

\begin{align} \mathcal G_S(A^k)\cap \mathcal G_S(A^j) & =\{ 0\} . \label{eq:app_bnt_three_block_intersection_zero} \end{align}

Finally, let \(\Phi _{kj}\) be the displayed length-\(S\) word-evaluation map from coefficient families to \(M_{D_k}(\mathbb {C})\oplus M_{D_j}(\mathbb {C})\). Pair the target by

\begin{align} \langle (X,Y),(M,N)\rangle & =\operatorname{tr}(XM)+\operatorname{tr}(YN). \notag \end{align}

A pair \((X,Y)\) annihilates \(\operatorname {im}(\Phi _{kj})\) precisely when

\begin{align} \operatorname{tr}(XA^k_w)+\operatorname{tr}(YA^j_w) & =0 \qquad (|w|=S), \notag \end{align}

or equivalently \(\Gamma _S^{A^k}(X)=\Gamma _S^{A^j}(-Y)\). There is therefore a linear map

\begin{align} \Theta :\operatorname {im}(\Phi _{kj})^\perp & \longrightarrow \mathcal G_S(A^k)\cap \mathcal G_S(A^j), & \Theta (X,Y) & =\Gamma _S^{A^k}(X)=\Gamma _S^{A^j}(-Y). \notag \end{align}

It is injective because both boundary maps are injective. Conversely, if \(\psi \) lies in the intersection, there are unique \(X\) and \(Z\) with \(\Gamma _S^{A^k}(X)=\psi =\Gamma _S^{A^j}(Z)\); the pair \((X,-Z)\) annihilates \(\operatorname {im}(\Phi _{kj})\) and maps to \(\psi \). This construction is the inverse of \(\Theta \), so the two spaces are isomorphic:

\begin{align} \operatorname {im}(\Phi _{kj})^\perp & \cong \mathcal G_S(A^k)\cap \mathcal G_S(A^j). \label{eq:app_bnt_pair_map_annihilator} \end{align}

The right-hand side vanishes by ??, and hence so does the annihilator. The trace pairing is nondegenerate and all spaces are finite-dimensional, so \(\operatorname {im}(\Phi _{kj})^\perp =\{ 0\} \) implies that \(\Phi _{kj}\) is surjective. Surjectivity first gives an arbitrary value on one block and zero on an anchor block; the selector construction then chooses \((\mathbb {1},0)\) for the remaining pairs, and products of these homogeneous selectors give the simultaneous word-tuple span in Lemma 10.3.2.

Theorem F.3.2 Common injective blocking for primitive irreducible families

Let \((B_k)_{k=1}^r\) be a finite family of positive-bond-dimension MPS tensors, each trace-preserving, primitive, and tensor-irreducible. Then there is a single \(L\ge 1\) such that each \(B_k^{[L]}\) is one-site injective, and this blocking preserves trace preservation, primitivity, and irreducibility for every block.

Proof

For each block, Theorem 8.9.1 gives a positive length at which it becomes one-site injective; the product of these lengths is a common length. Injectivity persists under positive further blocking, and Theorem E.4.7 preserves the other hypotheses.

Lemma F.3.3 Total dimension after grouping by BNT representatives

Suppose CF summands are grouped by BNT representative, every original copy weight is nonzero, and every summand assigned to a representative has that representative’s bond dimension. Then the total bond dimension of the resulting BNT sector decomposition is the sum of the original block dimensions.

Proof

The collapsed decomposition counts one representative dimension for each assigned copy. Let \(e(j,q)\) denote the original CF summand assigned to the \(q\)th copy of representative \(P_j\). Since \((j,q)\mapsto e(j,q)\) reindexes the original summands and each assigned summand has the representative’s bond dimension,

\begin{align} \sum _{j=1}^{g}\sum _{q=1}^{r_j}\dim (P_j) & = \sum _{j=1}^{g}\sum _{q=1}^{r_j}D_{e(j,q)} = \sum _{k=1}^{r}D_k. \notag \end{align}

This is the equality between the collapsed total dimension and the original direct-sum dimension.

Lemma F.3.4 Prepared phase-equivalent NTs have the same bond dimension

Let \(X\) and \(Y\) be trace-preserving, primitive, irreducible NTs of positive bond dimension. If their MPV families differ by a nonzero scalar power, then \(X\) and \(Y\) have the same bond dimension.

Proof

Choose \(\zeta \neq 0\) with \(|V^{(N)}(Y)\rangle =\zeta ^N|V^{(N)}(X)\rangle \) for every positive length \(N\). The normalized self-overlaps give \(|O_{XX}(N)|\to 1\), and the phase relation gives

\begin{align} O_{YX}(N) & =\zeta ^N O_{XX}(N), \notag \\ |O_{YX}(N)| & =|\zeta |^N |O_{XX}(N)|. \notag \end{align}

Since the same normalization forces \(|\zeta |=1\), this gives \(|O_{YX}(N)|\to 1\). If the two bond dimensions differed, the rectangular overlap-decay theorem would force \(O_{YX}(N)\to 0\), contradicting the preceding limit.

Lemma F.3.5 Prepared BNT representative classes preserve bond dimension

In a prepared family of positive-bond-dimension trace-preserving primitive irreducible NTs, every CF summand assigned to a BNT representative has that representative’s bond dimension.

Proof

Apply Lemma F.3.4 to each representative and each assigned summand.

Lemma F.3.6 Prepared collapsed BNT total dimension

For prepared trace-preserving primitive irreducible NTs of positive bond dimension with all copy weights nonzero, grouping CF summands by BNT representative preserves the total bond dimension: the collapsed sector decomposition has total bond dimension equal to the sum of the original block dimensions.

Proof

Every assigned summand shares the bond dimension of its representative, by the equal-dimension fact above. The displayed regrouping identity in Lemma F.3.3 then identifies the collapsed sum over pairs \((j,q)\) with \(\sum _{k=1}^{r}D_k\), the original direct-sum dimension.

Theorem F.3.7 Conditional BNT form after blocking for an arbitrary tensor

Let \(A\) be an MPS tensor. Then there exists a blocking length \(p \ge 1\), nonzero weights \(\mu _k\), and blocks \(B_k\) over the blocked alphabet, such that:

  1. every block has positive bond dimension;

  2. every block is TP-normalized, primitive, irreducible, and injective;

  3. \(A^{[p]}\) and \(\bigoplus _k \mu _k B_k\) generate the same MPV family at every positive length.

Moreover, under \(|\mu _k| \le 1\) for every \(k\) and \(|\mu _k|=1\) for at least one \(k\), there exists a sector decomposition \(P\) over the blocked alphabet in the BNT canonical form of Definition 10.6.1.11 such that \(A^{[p]}\) and \(P\) generate the same MPV family at every positive length.

Proof

The after-blocking reduction supplies the TP-normalized primitive irreducible injective blocks and the positive-length MPV identity. The normalized-weight hypotheses are the choice that [ CPGSV16 , Section 2.3 ] makes; Theorem 10.6.3.2 then produces the sector decomposition, following the BNT selection of [ CPGSV16 , Appendix A ] . The remaining rescaling step is recorded in Remark 10.6.3.4.

Theorem F.3.8 Projective weight normalization
#

For nonzero weights \(\mu _1,\ldots ,\mu _r\) with \(r\geq 1\) there is a positive real \(m\) such that every normalized weight satisfies

\begin{align} \Bigl|\frac{\mu _k}{m}\Bigr| & \leq 1, \notag \\ \frac{\mu _k}{m} & \neq 0, \notag \end{align}

and at least one normalized weight has unit modulus, \(|\mu _{k_0}/m|=1\). This is the normalization that [ CPGSV16 , line 246 ] chooses for the canonical-form weights.

Proof

Take \(m=\max _k|\mu _k|\); the maximum over a nonempty finite family is attained, positive because every weight is nonzero, an upper bound for every modulus, and equal to the modulus of the attaining weight.

Lemma F.3.9 Common scalar rescaling of block weights

Multiplying every block weight in a block-diagonal MPS tensor by a scalar \(c\) multiplies every length-\(N\) MPV coefficient by \(c^N\).

Proof

Expand the block-diagonal MPV coefficient as a finite sum over blocks and factor \(c^N\) out of the sum.