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Record W4235635581 · doi:10.1002/9781119517566.ch16

Differentiation and Integration on Smooth Manifolds

2019· other· en· W4235635581 on OpenAlex
Stephen C. Newman

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

Venuenot available
Typeother
Languageen
FieldComputer Science
TopicAdvanced Mathematical Modeling in Engineering
Canadian institutionsUniversity of Alberta
Fundersnot available
KeywordsAtlas (anatomy)Vector fieldDiffeomorphismCurl (programming language)Manifold (fluid mechanics)MathematicsPure mathematicsVolume formMathematical analysisDivergence (linguistics)Differential formGeometryGeologyComputer scienceScalar curvatureHermitian manifoldPaleontologyCurvature

Abstract

fetched live from OpenAlex

This chapter defines two differential operators on smooth manifolds—the exterior derivative and the Lie derivative. Despite their evident differences in construction and properties, they are related by a remarkable identity that involves interior multiplication. The chapter then presents three examples to show that the exterior derivative is related to the classical curl, gradient, and divergence operators. It shoes that a smooth manifold is orientable if it has a consistent smooth atlas. Evidently, the concept of an orientation of a smooth manifold and that of a consistent smooth atlas for a smooth manifold are closely related, almost to the extent of being indistinguishable. The chapter also introduces the theory of integration on smooth manifolds. It shows that the maximal integral curves corresponding to a vector field combine to form a smooth map defined on an open set, and that the “flow” of particles referred to above takes place in a “diffeomorphic” fashion.

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.

Full frame distilled prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Methods · Consensus signal: none
Teacher disagreement score0.967
Threshold uncertainty score0.392

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.013
GPT teacher head0.233
Teacher spread0.220 · 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