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# Scripts
## Static Alignment Beta Law
Run:
```bash
python scripts/static_alignment_beta.py --rows 16 --cols 16 --samples 20000 --seed 7 --plot
```
This samples independent matrix pairs \(A,B\), computes:
\[
Q =
\frac{\langle A,B\rangle_F^2}{\|A\|_F^2\|B\|_F^2},
\]
and compares the empirical distribution with:
\[
\mathrm{Beta}\left(\frac12,\frac{D-1}{2}\right),
\qquad
D=\texttt{rows}\times\texttt{cols}.
\]
Outputs are written under `outputs/static_alignment_beta/`, which is ignored by Git.
## Capacity Scaling
Run:
```bash
python scripts/capacity_scaling.py --plot
```
This computes:
\[
C_l(q)
=
-\log\Pr(Q_l\ge q)
\]
for equal-width feedback blocks with \(D=n^2\), then sums over the number of feedback-aligned layers:
\[
C_{\mathrm{all}}=\sum_l C_l(q_l).
\]
The default run compares two regimes:
- `fixed`: \(q=0.01\), where \(C_{\mathrm{all}}\) grows like \(\Theta(Ln^2)\).
- `chance`: \(q=1/D\), where \(C_{\mathrm{all}}\) grows mostly with \(L\).
Outputs are written under `outputs/capacity_scaling/`.
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