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Record W4413486559 · doi:10.1007/s00229-025-01662-7

Integral aspects of Fourier duality for abelian varieties

2025· article· en· W4413486559 on OpenAlexaff
Junaid Hasan, Hazem Hassan, Marcella Manivel, Lily McBeath, B.J. Moonen

Bibliographic record

Venuemanuscripta mathematica · 2025
Typearticle
Languageen
FieldMathematics
TopicAlgebraic Geometry and Number Theory
Canadian institutionsMcGill University
FundersNational Science Foundation Graduate Research Fellowship ProgramNational Science Foundation
KeywordsAbelian groupMathematicsAlgebraic geometryDuality (order theory)Number theoryPure mathematicsFourier transformFourier analysisAlgebra over a fieldMathematical analysis

Abstract

fetched live from OpenAlex

Abstract We prove several results about integral versions of Fourier duality for abelian schemes, making use of Pappas’s results on an integral version of Grothendieck–Riemann–Roch. If S is smooth quasi-projective of dimension d over a field and $$\pi :X\rightarrow S$$ π : X → S is a g -dimensional abelian scheme, we prove, under very mild assumptions on X / S , that all classical results about Fourier duality, including the existence of a Beauville decomposition, are valid for the Chow ring $$\textrm{CH}(X;\Lambda )$$ CH ( X ; Λ ) with coefficients in the ring $$\Lambda = \mathbb {Z}[1/(2g+d+1)!]$$ Λ = Z [ 1 / ( 2 g + d + 1 ) ! ] . If X admits a polarization $$\theta $$ θ of degree $$\nu (\theta )^2$$ ν ( θ ) 2 we further construct an $$\mathfrak {sl}_2$$ sl 2 -action on $$\textrm{CH}(X;\Lambda _\theta )$$ CH ( X ; Λ θ ) with $$\Lambda _\theta = \Lambda [1/\nu (\theta )]$$ Λ θ = Λ [ 1 / ν ( θ ) ] , and we show that $$\textrm{CH}(X;\Lambda _\theta )$$ CH ( X ; Λ θ ) is a sum of copies of the symmetric powers $$\textrm{Sym}^n(\textrm{St})$$ Sym n ( St ) of the 2-dimensional standard representation, for $$n=0,\ldots ,g$$ n

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)0.004
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: Other · Consensus signal: none
Teacher disagreement score0.007
Threshold uncertainty score0.024

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.004
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0030.001
Science and technology studies0.0020.006
Scholarly communication0.0030.005
Open science0.0010.003
Research integrity0.0010.003
Insufficient payload (model declined to judge)0.0070.001

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 head0.053
GPT teacher head0.322
Teacher spread0.269 · 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
GenreOther

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".

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Citations0
Published2025
Admission routes1
Has abstractyes

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