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Recursive, block, and tensor amplification

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9.10 Recursive, block, and tensor amplification

9.10.1 Restricted block additivity

The lower metric is exactly additive on contiguous block-diagonal targets.

Proposition 9.51: Block additivity

Let \(A_i\in{\operatorname{U}}_{n_i}({\mathbb F})\) for \(1\le i\le k\). Then

\[ {\ell_{\downarrow}}\bigl(\operatorname{diag}(A_1,\ldots,A_k)\bigr) = \sum_{i=1}^k{\ell_{\downarrow}}(A_i). \]

Proof

The upper bound follows by running optimal lower circuits independently inside the blocks.

For the lower bound, view an element of \({\operatorname{U}}_{n_1+\cdots+n_k}({\mathbb F})\) as a lower block-triangular matrix and project to its diagonal blocks:

\[ \pi(X)=(X_{11},\ldots,X_{kk}). \]

Because diagonal blocks multiply independently in a lower block-triangular product, \(\pi\) is a homomorphism. A lower transvection internal to one block projects to one generator in that factor, while a crossing transvection projects to the identity in every factor. If \(m_i\) gates survive in factor \(i\), then the total word length is at least

\[ \sum_i m_i \ge \sum_i{\ell_{\downarrow}}(A_i). \]

The ambient metric is subadditive:

\[ {\ell_{*}}\bigl(\operatorname{diag}(A_1,\ldots,A_k)\bigr) \le \sum_i{\ell_{*}}(A_i). \]

Cross-block ambient workspace can only improve this upper bound.

Corollary 9.52: Block-sum amplification

For every field and every \(n\ge6\), there is an \(A_n\in{\operatorname{U}}_n({\mathbb F})\) with

\[ {\ell_{\downarrow}}(A_n)-{\ell_{*}}(A_n) \ge \left\lfloor\frac n6\right\rfloor. \]

For \(n=6k\), the target \(C^{\oplus k}\) satisfies

\[ {\ell_{\downarrow}}(C^{\oplus k})=7k, \qquad {\ell_{*}}(C^{\oplus k})\le6k. \]

Proof

For \(n=6k+r\), take \(C^{\oplus k}\oplus I_r\) and apply block additivity together with \(k\) copies of the ambient six-gate word.

Block-sum amplification. The restricted length is exactly 7k, while the displayed ambient construction has length 6k.
Figure 9.14. Block-sum amplification. The restricted length is exactly \(7k\), while the displayed ambient construction has length \(6k\).

View full-size figure (new tab)

9.10.2 A recursive zeta-shaped lift

For \(A\in{\operatorname{U}}_m({\mathbb F})\), define

\[ \mathcal Z(A) = \begin{pmatrix} A&0\\ A&A \end{pmatrix} \in{\operatorname{U}}_{2m}({\mathbb F}). \]
(9.15)

Proposition 9.53: Exact restricted lift

For every \(A\in{\operatorname{U}}_m({\mathbb F})\),

\[ {\ell_{\downarrow}}(\mathcal Z(A))=2{\ell_{\downarrow}}(A)+m, \]

and

\[ {\ell_{*}}(\mathcal Z(A))\le2{\ell_{*}}(A)+m. \]

Consequently,

\[ {\Delta}(\mathcal Z(A))\ge2{\Delta}(A). \]

Proof

The construction first realizes \(\operatorname{diag}(A,A)\) and then applies the \(m\) root-cross gates that add top row \(i\) into bottom row \(i\).

For the lower bound, write a circuit state in \(m\times m\) blocks as

\[ X= \begin{pmatrix} P&0\\ Q&R \end{pmatrix}. \]

Projection to the two diagonal blocks forces at least \(2{\ell_{\downarrow}}(A)\) internal gates. A top-internal gate leaves \(Q\) unchanged. A bottom-internal gate performs an invertible row operation on \(Q\) and preserves its rank. A root-cross gate changes \(Q\) by one rank-one row contribution, so it can increase \({\operatorname{rank}} Q\) by at most one. The final cross block is \(A\), of rank \(m\), hence at least \(m\) root-cross gates are necessary.

Let \(A^{[0]}=A\) and \(A^{[r+1]}=\mathcal Z(A^{[r]})\). If \(A\) has size \(m\), restricted length \(a\), and ambient length \(b\), then

\[ {\ell_{\downarrow}}(A^{[r]}) = 2^r a+r m2^{r-1}, \]
(9.16)

and

\[ {\ell_{*}}(A^{[r]}) \le 2^r b+r m2^{r-1}. \]
(9.17)

Thus

\[ {\Delta}(A^{[r]})\ge2^r{\Delta}(A). \]

For the canonical atom \(C\), the first values are

Certified gaps under recursive lifting
\(r\)dimensionrestricted exactambient upper boundcertified gap
\(0\)\(6\)\(7\)\(6\)\(1\)
\(1\)\(12\)\(20\)\(18\)\(2\)
\(2\)\(24\)\(52\)\(48\)\(4\)
\(3\)\(48\)\(128\)\(120\)\(8\)
\(4\)\(96\)\(304\)\(288\)\(16\)

This gives arbitrarily deep exact recursion with identical diagonal children and a full-rank cross block while preserving a positive defect.

The recursive lift has the same outer shape as a Boolean zeta recursion. A finite defect at the leaf is doubled at every lift.
Figure 9.15. The recursive lift has the same outer shape as a Boolean zeta recursion. A finite defect at the leaf is doubled at every lift.

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9.10.3 Tensor products of tree-tight targets

The tensor operation gives the stronger asymptotic amplification.

Theorem 9.54: Exact restricted tensor rule

Let \(A\in{\operatorname{U}}_m({\mathbb F})\) and \(B\in{\operatorname{U}}_n({\mathbb F})\) be tree tight. Then \(A\otimes B\) is tree tight and

\[ {\ell_{\downarrow}}(A\otimes B) = n{\ell_{\downarrow}}(A)+m{\ell_{\downarrow}}(B). \]
(9.18)

Moreover,

\[ {\ell_{*}}(A\otimes B) \le n{\ell_{*}}(A)+m{\ell_{*}}(B), \]
(9.19)

so

\[ {\Delta}(A\otimes B) \ge n{\Delta}(A)+m{\Delta}(B). \]
(9.20)

Proof

Use lexicographic order on the \(mn\) coordinates. Substitute a copy of a certificate tree for \(B\) at every leaf of a certificate tree for \(A\). At an outer node, the cross block is

\[ A[R,L]\otimes B, \]

whose rank is \(n{\operatorname{rank}} A[R,L]\) because \(B\) is invertible. The outer nodes therefore contribute \(n{\ell_{\downarrow}}(A)\). The \(m\) diagonal copies of the inner tree contribute \(m{\ell_{\downarrow}}(B)\). This proves the lower bound.

For the matching lower construction, first realize \(I_m\otimes B\) using \(m\) copies of a circuit for \(B\). Then realize \(A\otimes I_n\). Each gate of a circuit for \(A\) lifts to \(n\) coordinatewise gates. Since

\[ (A\otimes I_n)(I_m\otimes B)=A\otimes B, \]

the cost is the right side of Equation (9.18). The same construction with ambient circuits proves Equation (9.19).

If \(A\) is tree tight of dimension \(m\), with restricted length \(a\) and an ambient construction of length \(b\), then

\[ {\ell_{\downarrow}}(A^{\otimes r}) = r m^{r-1}a, \]
(9.21)

and

\[ {\ell_{*}}(A^{\otimes r}) \le r m^{r-1}b. \]
(9.22)

A positive one-copy defect therefore becomes an order-\(N\log N\) defect at dimension \(N=m^r\).

Proof of Theorem 9.10

Apply Theorem 9.54 repeatedly to the tree-tight snapshot target \(A=A(u;s_1,\ldots,s_v)\), for which

\[ a=u+2v, \qquad b=u+v+2=m. \]

Then

\[ {\ell_{\downarrow}}(A^{\otimes r}) - {\ell_{*}}(A^{\otimes r}) \ge r m^{r-1}(v-2). \]

Since \(N=m^r\) and \(r=\log_2N/\log_2m\), this is

\[ \frac{v-2}{m\log_2m}N\log_2N. \]

Within the snapshot family, the best coefficient is obtained by the twenty-one-dimensional seed

\[ A_{21}=A(9;0,1,\ldots,9), \]

for which

\[ {\ell_{\downarrow}}(A_{21})=29, \qquad {\ell_{*}}(A_{21})\le21, \qquad {\Delta}(A_{21})\ge8. \]

Proposition 9.55: Optimal snapshot seed for tensor rate

Among all snapshot targets, the coefficient

\[ \frac{v-2}{m\log_2m}, \qquad m=u+v+2, \]

is maximized at

\[ (m,u,v)=(21,9,10). \]

Proof

For fixed \(m\), maximize \(v\) subject to \(v\le u+1\) and \(u+v+2=m\). Thus

\[ v=\left\lfloor\frac{m-1}{2}\right\rfloor. \]

If \(m\) is even and at least eight, its coefficient is strictly smaller than that of \(m-1\), because the numerator is the same while

\[ (m-1)\log(m-1)<m\log m. \]

It therefore suffices to consider odd \(m\). Apart from the constant change of logarithm base, the odd-dimensional envelope is

\[ f(x)=\frac{x-5}{2x\log x}. \]

Its derivative has the sign of

\[ 5(1+\log x)-x. \]

For \(x>5\) this expression crosses zero exactly once, between \(19\) and \(21\). Direct comparison gives \(f(21)>f(19)\), after which the envelope decreases. Hence the unique integer maximizer is \(m=21\).

The first tensor powers are

Certified gaps for tensor powers of the snapshot seed
\(r\)dimension \(21^r\)restricted exactambient upper boundcertified gap
\(1\)\(21\)\(29\)\(21\)\(8\)
\(2\)\(441\)\(1218\)\(882\)\(336\)
\(3\)\(9261\)\(38367\)\(27783\)\(10584\)
\(4\)\(194481\)\(1074276\)\(777924\)\(296352\)
Tensor powers of the twenty-one-dimensional snapshot seed. Both displayed circuit sizes are of order N log N, and their difference has a positive N log N coefficient.
Figure 9.16. Tensor powers of the twenty-one-dimensional snapshot seed. Both displayed circuit sizes are of order \(N\log N\), and their difference has a positive \(N\log N\) coefficient.

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9.10.4 Stable tensor capacity and activation

The tensor inequality also defines a regularized ambient invariant. Let \(A\in{\operatorname{U}}_m({\mathbb F})\) and put

\[ b_r(A) = \frac{{\ell_{*}}(A^{\otimes r})}{m^{r-1}}. \]

Applying Equation (9.19) to \(A^{\otimes r}\otimes A^{\otimes s}\) gives

\[ b_{r+s}(A)\le b_r(A)+b_s(A). \]

Proposition 9.56: Stable tensor length

The limit

\[ \tau_*(A) = \lim_{r\to\infty} \frac{{\ell_{*}}(A^{\otimes r})}{r m^{r-1}} = \inf_{r\ge1} \frac{{\ell_{*}}(A^{\otimes r})}{r m^{r-1}} \]

exists. If \(A\) is tree tight, then the stable catalytic capacity

\[ \kappa_\otimes(A) = {\ell_{\downarrow}}(A)-\tau_*(A) \]

satisfies

\[ \kappa_\otimes(A)\ge{\Delta}(A). \]

Proof

The sequence \(b_r(A)\) is subadditive, so Fekete's lemma gives the displayed limit. Since the one-copy lifted construction implies \(\tau_*(A)\le{\ell_{*}}(A)\), one has

\[ \kappa_\otimes(A) \ge {\ell_{\downarrow}}(A)-{\ell_{*}}(A) = {\Delta}(A). \]

For a tree-tight target, Equation (9.21) identifies \({\ell_{\downarrow}}(A)\) with its exact normalized restricted tensor cost.

For the twenty-one-dimensional seed \(A_{21}\),

\[ \kappa_\otimes(A_{21})\ge8. \]

This regularization introduces a new possibility: a target may have \({\Delta}(A)=0\) but \(\kappa_\otimes(A)>0\). In that case one copy is rigid while many tensor copies admit a collective shortcut. We call this tensor activation.

9.10.5 Extremal consequences

Define

\[ D_n({\mathbb F}) = \sup_{A\in{\operatorname{U}}_n({\mathbb F})} \bigl({\ell_{\downarrow}}(A)-{\ell_{*}}(A)\bigr). \]

For finite fields the supremum is a maximum. The tensor family gives the following explicit all-dimension bound.

Proof of Corollary 9.11

Let \(m=21\) and write

\[ n=\sum_{j=0}^{r}d_jm^j, \qquad 0\le d_j<m. \]

Take the block sum of \(d_j\) copies of \(A_{21}^{\otimes j}\) for every \(j\), with the convention \(A_{21}^{\otimes0}=I_1\). Block additivity and the tensor estimate give

\[ D_n({\mathbb F}) \ge \frac{8}{21} \sum_{j=0}^{r}j d_j21^j. \]

Put \(S=\sum_j j d_j21^j\). Since \(r=\lfloor\log_{21}n\rfloor\),

\[ r n-S = \sum_{j<r}(r-j)d_j21^j \le 20\sum_{h\ge1}h21^{r-h} \le \frac{21^{r+1}}{20} \le \frac{21}{20}n. \]

Also \(r\ge\log_{21}n-1\). Therefore

\[ S\ge n\log_{21}n-\frac{41}{20}n. \]

Multiplying by \(8/21\) yields

\[ D_n({\mathbb F}) \ge \frac{8}{21\log_2 21}n\log_2n - \frac{82}{105}n. \]

Numerically,

\[ \frac{8}{21\log_2 21} =0.0867315\ldots. \]

The elementary bottom-to-top construction gives

\[ D_n({\mathbb F})\le\frac{n(n-1)}2. \]

Thus the current general range is

\[ 0.0867315\,n\log_2n-O(n) \le D_n({\mathbb F}) \le \frac{n(n-1)}2. \]
(9.23)
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