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Record W4287995261 · doi:10.48550/arxiv.1912.06301

Capelli operators for spherical superharmonics and the Dougall-Ramanujan\n identity

2019· preprint· en· W4287995261 on OpenAlexfundno aff
Siddhartha Sahi, Hadi Salmasian, Vera Serganova

Bibliographic record

VenuearXiv (Cornell University) · 2019
Typepreprint
Languageen
FieldMathematics
TopicAdvanced Topics in Algebra
Canadian institutionsnot available
FundersNatural Sciences and Engineering Research Council of CanadaNational Science Foundation
KeywordsMathematicsCombinatoricsIndecomposable moduleRamanujan's sumEigenvalues and eigenvectorsOmegaLambdaPhysics

Abstract

fetched live from OpenAlex

Let $(V,\\omega)$ be an orthosympectic $\\mathbb Z_2$-graded vector space and\nlet $\\mathfrak g:=\\mathfrak{gosp}(V,\\omega)$ denote the Lie superalgebra of\nsimilitudes of $(V,\\omega)$. When the space $\\mathscr P(V)$ of superpolynomials\non $V$ is \\emph{not} a completely reducible $\\mathfrak g$-module, we construct\na natural basis $D_\\lambda$ of Capelli operators for the algebra of $\\mathfrak\ng$-invariant superpolynomial superdifferential operators on $V$, where the\nindex set $\\mathcal P$ is the set of integer partitions of length at most two.\nWe compute the action of the operators $D_\\lambda$ on maximal indecomposable\ncomponents of $\\mathscr P(V)$ explicitly, in terms of Knop-Sahi interpolation\npolynomials. Our results show that, unlike the cases where $\\mathscr P(V)$ is\ncompletely reducible, the eigenvalues of a subfamily of the $D_\\lambda$ are\n\\emph{not} given by specializing the Knop-Sahi polynomials. Rather, the\nformulas for these eigenvalues involve suitably regularized forms of these\npolynomials. In addition, we demonstrate a close relationship between our\neigenvalue formulas for this subfamily of Capelli operators and the\nDougall-Ramanujan hypergeometric identity.\n We also transcend our results on the eigenvalues of Capelli operators to the\nDeligne category $\\mathsf{Rep}(O_t)$. More precisely, we define categorical\nCapelli operators $\\{\\mathbf D_{t,\\lambda}\\}_{\\lambda\\in\\mathcal P}^{}$ that\ninduce morphisms of indecomposable components of symmetric powers of $\\mathsf\nV_t$, where $\\mathsf V_t$ is the generating object of $\\mathsf{Rep}(O_t)$. We\nobtain formulas for the eigenvalue polynomials associated to the\n$\\left\\{\\mathbf D_{t,\\lambda}\\right\\}_{\\lambda\\in\\mathcal P}$ that are\nanalogous to our results for the operators $\\{D_\\lambda\\}_{\\lambda\\in\\mathcal\nP}^{}$.\n

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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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
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 score0.447
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.002
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0000.000

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 head0.111
GPT teacher head0.250
Teacher spread0.139 · 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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Citations0
Published2019
Admission routes1
Has abstractyes

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