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Record W7133028994

Lie Algebra Actions on Jacobi Forms and Vector-Valued Harmonic Maass Forms

2024· dissertation· W7133028994 on OpenAlexaff
Yun-chi Tang

Bibliographic record

VenueTSpace · 2024
Typedissertation
Language
FieldMathematics
TopicAdvanced Algebra and Geometry
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsModular formLie algebraAction (physics)Algebra over a fieldHarmonicLie groupQuotientDifferential geometryFourier series
DOInot available

Abstract

fetched live from OpenAlex

In their study, Alfes-Neumann, Funke, Mertens, and Rosu examined Rolen’s work on theta functions on H × Cg, where H is the upper-half plane, and its corresponding complete ζ-function [Rol16][ ANFMR23]. Using the complete ζ-function, they examined the vector-valued Eichler integral of newforms with integral Fourier coefficients and constructed Jacobi-Weierstrass mock modular forms that are weight-0 harmonic Maass forms with its shadow being weight-2 modular forms. In our study, we examine the action of lie Algebra elements of the full Jacobi group on smooth functions on the Jacobi group, specifically the lifts of smooth functions on H × Cg. We find elements of the complexified Lie algebra whose action on the lifts directly corresponds to differential operators that act on Jacobi forms to create Jacobi forms of the same index and different weights. Using these new Jacobi forms we create Jacobi forms of index 0 that are used to generalize the work of Alfes-Neumann, Funke, Mertens, and Rosu in creating vector-valued weight quotients which are harmonic Maass forms of weight 0 with the shadow being weight- 2 modular forms.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
Consensus categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
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 score0.088
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.001
Science and technology studies0.0010.000
Scholarly communication0.0000.001
Open science0.0000.000
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0010.002

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 head0.038
GPT teacher head0.371
Teacher spread0.333 · 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; both teacher heads agree on what is shown here.

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
Published2024
Admission routes1
Has abstractyes

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