A two weight local $Tb$ theorem for the Hilbert transform
Bibliographic record
Abstract
We obtain a two weight local Tb theorem for any elliptic and gradient elliptic fractional singular integral operator T^{\alpha} on the real line \mathbb{R} , and any pair of locally finite positive Borel measures (\sigma,\omega) on \mathbb{R} . The Hilbert transform is included in the case \alpha = 0 , and is bounded from L^{2}(\sigma) to L^{2}(\omega) if and only if the Muckenhoupt and energy conditions hold, as well as b_{Q} and b_{Q}^{\ast} testing conditions over intervals Q , where the families \{b_{Q}\} and \{b_{Q}^{\ast}\} are p -weakly accretive for some p > 2 . A number of new ideas are needed to accommodate weak goodness, including a new method for handling the stubborn nearby form, and an additional corona construction to deal with the stopping form. In a sense, this theorem improves the T1 theorem obtained by the authors and M. Lacey.
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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) | 0.002 | 0.001 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.000 | 0.002 |
| 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".