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Record W4226285165 · doi:10.48550/arxiv.2112.02900

Geometrical compactifications of geodesic flows and path structures

2021· preprint· en· W4226285165 on OpenAlexaff
Martin Mion-Mouton

Bibliographic record

VenueHAL (Le Centre pour la Communication Scientifique Directe) · 2021
Typepreprint
Languageen
FieldMathematics
TopicMathematical Dynamics and Fractals
Canadian institutionsToronto Metropolitan University
Fundersnot available
KeywordsGeodesicPath (computing)MathematicsGeometryTopology (electrical circuits)Computer scienceCombinatoricsComputer network

Abstract

fetched live from OpenAlex

In this paper, we construct a geometrical compactification of the geodesic flow of non-compact complete hyperbolic surfaces $Σ$ without cusps having finitely generated fundamental group. We study the dynamical properties of the compactified flow, for which we show the existence of attractive circles at infinity. The geometric structure of ${\mathrm{T}}^1Σ$ for which this compactification is realized is the pair of one-dimensional distributions tangent to the stable and unstable horocyles of ${\mathrm{T}}^1Σ$. This is a Kleinian path structure, that is a quotient of an open subset of the flag space by a discrete subgroup $Γ$ of ${\mathrm{PGL}}_3(\mathbb{R})$. Our study relies on a detailed description of the dynamics of ${\mathrm{PGL}}_3(\mathbb{R})$ on the flag space, and on the construction of an explicit fundamental domain for the action of $Γ$ on its maximal open subset of discontinuity in the flag space.

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)0.000
metaresearch head score (Gemma)0.001
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 score0.002
Threshold uncertainty score0.008

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0010.000
Science and technology studies0.0010.002
Scholarly communication0.0010.003
Open science0.0010.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0020.000

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 head0.032
GPT teacher head0.273
Teacher spread0.241 · 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

Citations0
Published2021
Admission routes1
Has abstractyes

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