ASYMPTOTICALLY EFFICIENT ALGORITHMS FOR THE FROBENIUS FORM
Why this work is in the frame
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Bibliographic record
Abstract
A new randomized algorithm is presented for computation of the Frobenius form of an n x n matrix over a field. A version of the algorithm is presented that uses standard arithmetic whose asymptotic expected complexity matches the worst case complexity of the best known deterministic algorithm for this problem, recently given by Storjohann and Villard [25], and that seems to be superior when applied to sparse or structured matrices with a small number of invariant factors. A version that uses asymptotically fast matrix multiplication is also presented. This is the first known algorithm for this computation over small fields whose asymptotic complexity matches that of the best algorithm for computations over large fields and that also provides a Frobenius transition matrix over the ground field. As an application, it is shown that a "rational Jordan form" of an n x n matrix over a finite field can also be computed asymptotically efficiently.
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 it