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Record W2583535294 · doi:10.5802/jep.68

An equivalence between truncations of categorified quantum groups and Heisenberg categories

2017· article· en· W2583535294 on OpenAlexafffund
Hoel Queffélec, Alistair Savage, Oded Yacobi

Bibliographic record

VenueJournal de l’École polytechnique — Mathématiques · 2017
Typearticle
Languageen
FieldMathematics
TopicAlgebraic structures and combinatorial models
Canadian institutionsUniversity of Ottawa
FundersAustralian Research CouncilNatural Sciences and Engineering Research Council of CanadaUniversité de MontpellierAgence Nationale de la Recherche
KeywordsCategorificationMathematicsDiagrammatic reasoningFock spaceFunctorPure mathematicsQuantum groupDerived categoryAlgebra over a fieldRepresentation theoryQuantum mechanicsPhysics

Abstract

fetched live from OpenAlex

We introduce a simple diagrammatic 2-category 𝒜 that categorifies the image of the Fock space representation of the Heisenberg algebra and the basic representation of 𝔰𝔩 ∞ . We show that 𝒜 is equivalent to a truncation of the Khovanov–Lauda categorified quantum group 𝒰 of type A ∞ , and also to a truncation of Khovanov’s Heisenberg 2-category ℋ . This equivalence is a categorification of the principal realization of the basic representation of 𝔰𝔩 ∞ . As a result of the categorical equivalences described above, certain actions of ℋ induce actions of 𝒰 , and vice versa. In particular, we obtain an explicit action of 𝒰 on representations of symmetric groups. We also explicitly compute the Grothendieck group of the truncation of ℋ . The 2-category 𝒜 can be viewed as a graphical calculus describing the functors of i -induction and i -restriction for symmetric groups, together with the natural transformations between their compositions. The resulting computational tool is used to give simple diagrammatic proofs of (apparently new) representation theoretic identities.

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)0.001
metaresearch head score (Gemma)0.002
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 score0.008
Threshold uncertainty score0.027

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.001
Science and technology studies0.0020.004
Scholarly communication0.0020.005
Open science0.0010.003
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0080.001

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 head0.039
GPT teacher head0.342
Teacher spread0.303 · 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

Citations2
Published2017
Admission routes2
Has abstractyes

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