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Record W4286911850

Classical Heun observables and elliptic solvability

2021· preprint· W4286911850 on OpenAlexfundno aff
Luc Vinet, Alexei Zhedanov

Bibliographic record

VenuearXiv (Cornell University) · 2021
Typepreprint
Language
FieldPhysics and Astronomy
TopicQuantum chaos and dynamical systems
Canadian institutionsnot available
FundersNatural Sciences and Engineering Research Council of CanadaMinistry of Science and Higher Education of the Russian Federation
KeywordsObservableAlgebraic numberOperator (biology)MathematicsHamiltonian (control theory)Hamiltonian mechanicsHamiltonian systemPure mathematicsMathematical physicsAlgebra over a fieldProperty (philosophy)Construct (python library)Classical mechanicsMathematical analysisPhysicsQuantum mechanicsComputer sciencePhilosophy
DOInot available

Abstract

fetched live from OpenAlex

We introduce a classical analog of the algebraic Heun operator associated with a classical Leonard pair. Given two observables $X$ and $Y$ satisfying the classical counterpart of the Askey--Wilson relations, we define a \emph{classical Heun observable} $W$ as the most general bilinear combination of $X$, $Y$, and their Poisson bracket. We prove that, when $W$ is taken as Hamiltonian, the dynamics of X and Y is governed by quartic differential equations and, generically, by elliptic functions of second order. This result provides a universal algebraic mechanism transforming the elementary dynamics associated with classical Leonard pairs into elliptic dynamics, and yields an algebraic explanation of a classical observation of Manning on the connection between the Heun equation and elliptic solvability. The construction is illustrated on three examples: an extension of the Pöschl--Teller system, the Zhukovsky--Volterra gyrostat, and a relativistic $A_1$ model related to the classical Askey--Wilson algebra.

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)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Simulation or modeling · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.851
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0000.001
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0010.002
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0010.000

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 head0.064
GPT teacher head0.174
Teacher spread0.110 · 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 designSimulation or modeling
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
Published2021
Admission routes1
Has abstractyes

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