Model theory and metric convergence II: Averages of unitary polynomial\n actions
Bibliographic record
Abstract
We use model theory of metric structures to prove the pointwise convergence,\nwith a uniform metastability rate, of averages of a polynomial sequence\n$\\{T_n\\}$ (in Leibman's sense) of unitary transformations of a Hilbert space.\nAs a special case, this applies to unitary sequences $\\{U^{p(n)}\\}$ where $p$\nis a polynomial $\\mathbb{Z}\\to\\mathbb{Z}$ and $U$ a fixed unitary operator;\nhowever, our convergence results hold for arbitrary Leibman sequences. As a\ncase study, we show that the non-nilpotent "lamplighter group"\n$\\mathbb{Z}\\wr\\mathbb{Z}$ is realized as the range of a suitable quadratic\nLeibman sequence. We also indicate how these convergence results generalize to\narbitrary Folner averages of unitary polynomial actions of any abelian group\n$\\mathbb{G}$ in place of $\\mathbb{Z}$.\n
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".