Bounds on Kolmogorov spectra for the Navier - Stokes equations
Bibliographic record
Abstract
Let $u(x,t)$ be a (possibly weak) solution of the Navier - Stokes equations on all of ${\mathbb R}^3$, or on the torus ${\mathbb R}^3/ {\mathbb Z}^3$. The {\it energy spectrum} of $u(\cdot,t)$ is the spherical integral \[ E(κ,t) = \int_{|k| = κ} |\hat{u}(k,t)|^2 dS(k), \qquad 0 \leq κ< \infty, \] or alternatively, a suitable approximate sum. An argument involking scale invariance and dimensional analysis given by Kolmogorov (1941) and Obukhov (1941) predicts that large Reynolds number solutions of the Navier - Stokes equations in three dimensions should obey \[ E(κ, t) \sim C_0\varepsilon^{2/3}κ^{-5/3} \] over an inertial range $κ_1 \leq κ\leq κ_2$, at least in an average sense. We give a global estimate on weak solutions in the norm $\|{\mathcal F}\partial_x u(\cdot, t)\|_\infty$ which gives bounds on a solution's ability to satisfy the Kolmogorov law. A subsequent result is for rigorous upper and lower bounds on the inertial range, and an upper bound on the time of validity of the Kolmogorov spectral regime.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 0.001 |
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".