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Record W3102783132

A QUANTIZED TITS-KANTOR-KOECHER ALGEBRA

2013· article· en· W3102783132 on OpenAlexaff
Yun Gao, Naihuan Jing

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldMathematics
TopicAlgebraic structures and combinatorial models
Canadian institutionsYork University
Fundersnot available
KeywordsMathematicsVertex (graph theory)Algebra over a fieldTorusOperator algebraFock spaceVertex operator algebraPure mathematicsFiltered algebraJordan algebraAlgebra representationCombinatoricsGeometryQuantum mechanics
DOInot available

Abstract

fetched live from OpenAlex

We propose a quantum analogue of a Tits-Kantor-Koecher algebra with a Jordan torus as an coordinated algebra by looking at the vertex operator construction over a Fock space. Quantum toroidal algebras were first introduced by Ginzburg, Kapranov and Vasserot [GKV] in the study of the Langlands reciprocity for algebraic surfaces. These algebras are quantized analogues for toroidal Lie algebras of Moody-Rao-Yokonuma [MRY]. Representations of quantum toroidal algebras have been studied by Varagnolo-Vasserot [VV], Saito-Takemura-Uglov [STU], Saito [S], Frenkel-Jing-Wang [FJW], Takemura-Uglov[TU], Gao-Jing [GJ1,2], and among others. The Tits-Kantor-Koecher (TKK) algebra was originally defined from Jordan algebra in constructing the finite dimensional simple Lie algebras of the exceptional types E6 and E7. It has also played an important role in the structure theory of newly developed extended affine Lie algebras. A TKK algebra in the extended affine Lie algebras of type A1 has been realized by gluing a Clifford module and a Heisenberg module in Tan’s paper [T]. This algebra appears as the core of extended affine Lie algebras of type A1[AABGP] and has been studied by Yoshii [Y]. In this note, we shall propose a quantum analogue of the above Tits-Kantor-Koecher algebra. Our motivation comes from the vertex operator construction as was done in [GJ1, GJ2]. We hope that the quantum TKK algebra will be useful in the study of quantum toroidal algebras. Like the quantum Kac-Moody algebra case [J2] our construction relies on an interesting combinatorial identity of Hall-Littlewood type [M]. It suggests that representations

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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 categoriesInsufficient payload (model declined to judge)
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 score0.048
Threshold uncertainty score0.994

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
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 head0.042
GPT teacher head0.298
Teacher spread0.256 · 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 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".

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Citations3
Published2013
Admission routes1
Has abstractyes

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