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Record W2952409049 · doi:10.1515/crelle-2015-0110

The space of compact self-shrinking solutions to the Lagrangian mean curvature flow in ℂ2{\mathbb{C}^{2}}

2016· article· en· W2952409049 on OpenAlexafffund
Jingyi Chen, John Man Shun

Bibliographic record

VenueJournal für die reine und angewandte Mathematik (Crelles Journal) · 2016
Typearticle
Languageen
FieldMathematics
TopicGeometric Analysis and Curvature Flows
Canadian institutionsUniversity of British Columbia
FundersNatural Sciences and Engineering Research Council of Canada
KeywordsCombinatoricsMean curvature flowLagrangianMathematicsMean curvatureCurvatureGeometryMathematical analysis

Abstract

fetched live from OpenAlex

Abstract Let <m:math xmlns:m="http://www.w3.org/1998/Math/MathML"> <m:msub> <m:mi>F</m:mi> <m:mi>n</m:mi> </m:msub> </m:math> F_{n} : (Σ, <m:math xmlns:m="http://www.w3.org/1998/Math/MathML"> <m:msub> <m:mi>h</m:mi> <m:mi>n</m:mi> </m:msub> </m:math> h_{n} ) <m:math xmlns:m="http://www.w3.org/1998/Math/MathML"> <m:mo>→</m:mo> </m:math> \to <m:math xmlns:m="http://www.w3.org/1998/Math/MathML"> <m:msup> <m:mi>ℂ</m:mi> <m:mn>2</m:mn> </m:msup> </m:math> \mathbb{C}^{2} be a sequence of conformally immersed Lagrangian self-shrinkers with a uniform area upper bound to the mean curvature flow, and suppose that the sequence of metrics <m:math xmlns:m="http://www.w3.org/1998/Math/MathML"> <m:mo>{</m:mo> </m:math> \{ <m:math xmlns:m="http://www.w3.org/1998/Math/MathML"> <m:msub> <m:mi>h</m:mi> <m:mi>n</m:mi> </m:msub> </m:math> h_{n} <m:math xmlns:m="http://www.w3.org/1998/Math/MathML"> <m:mo>}</m:mo> </m:math> \} converges smoothly to a Riemannian metric h . We show that a subsequence of <m:math xmlns:m="http://www.w3.org/1998/Math/MathML"> <m:mo>{</m:mo> </m:math> \{ <m:math xmlns:m="http://www.w3.org/1998/Math/MathML"> <m:msub> <m:mi>F</m:mi> <m:mi>n</m:mi> </m:msub> </m:math> F_{n} <m:math xmlns:m="http://www.w3.org/1998/Math/MathML"> <m:mo>}</m:mo> </m:math> \} converges smoothly to a branched conformally immersed Lagrangian self-shrinker <m:math xmlns:m="http://www.w3.org/1998/Math/MathML"> <m:msub> <m:mi>F</m:mi> <m:mi>∞</m:mi> </m:msub> </m:math> F_{\infty} : (Σ, h ) <m:math xmlns:m="http://www.w3.org/1998/Math/MathML"> <m:mo>→</m:mo> </m:math> \to <m:math xmlns:m="http://www.w3.org/1998/Math/MathML"> <m:msup> <m:mi>ℂ</m:mi> <m:mn>2</m:mn> </m:msup> </m:math> \mathbb{C}^{2} . When the area bound is less than 16π, the limit <m:math xmlns:m="http://www.w3.org/1998/Math/MathML"> <m:msub> <m:mi>F</m:mi> <m:mi>∞</m:mi> </m:msub> </m:math> {F_{\infty}} is an embedded torus. When the genus of Σ is one, we can drop the assumption on convergence <m:math xmlns:m="http://www.w3.org/1998/Math/MathML"> <m:msub> <m:mi>h</m:mi> <m:mi>n</m:mi> </m:msub>

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 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)0.006
metaresearch head score (Gemma)0.002
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.536
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0060.002
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.002
Science and technology studies0.0020.000
Scholarly communication0.0010.000
Open science0.0010.000
Research integrity0.0000.001
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 head0.029
GPT teacher head0.301
Teacher spread0.272 · 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 teacher head, not a consensus.

Study designNot applicable
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

Citations8
Published2016
Admission routes2
Has abstractyes

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