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Record W1987241381 · doi:10.3934/dcds.2010.28.1165

On the size of the Navier - Stokes singular set

2010· article· en· W1987241381 on OpenAlexaff
Maxim Arnold, Walter Craig

Bibliographic record

VenueDiscrete and Continuous Dynamical Systems · 2010
Typearticle
Languageen
FieldMathematics
TopicNavier-Stokes equation solutions
Canadian institutionsMcMaster University
Fundersnot available
KeywordsMathematicsSmoothnessFourier transformUpper and lower boundsPure mathematicsNorm (philosophy)Mathematical analysisSpace (punctuation)Computer scienceLaw

Abstract

fetched live from OpenAlex

A beautiful and influential subject in the study of thequestion of smoothness of solutions for the Navier - Stokesequations in three dimensions is the theory of partial regularity.A major paper on this topic is Caffarelli, Kohn & Nirenberg [5](1982)which gives an upper bound on the size of the singularset $S(u)$ of a suitable weak solution $u$. In the present paperwe describe a complementary lower bound. More precisely, westudy the situation in which a weak solution fails to becontinuous in the strong $L^2$ topology at some singulartime $t=T$. We identify a closed set in space onwhich the $L^2$ norm concentrates at this time $T$, andwe study microlocal properties of the Fourier transformof the solution in the cotangent bundle T * (R 3)above this set. Our main resultis that $L^2$ concentration can only occur on subsets ofT * (R 3) which are sufficiently large. Anelement of the proof is a new global estimate on weak solutionsof the Navier - Stokes equations which have sufficientlysmooth initial data.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.002
metaresearch head score (Gemma)0.011
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: Theoretical or conceptual
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.003
Threshold uncertainty score0.012

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.011
Meta-epidemiology (narrow)0.0000.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0020.001
Science and technology studies0.0020.005
Scholarly communication0.0030.004
Open science0.0010.004
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0030.000

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.

Opus teacher head0.018
GPT teacher head0.278
Teacher spread0.259 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designTheoretical or conceptual
Domainnot available
GenreEmpirical

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".

Quick stats

Citations9
Published2010
Admission routes1
Has abstractyes

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