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Record W2247716601 · doi:10.1007/s00365-016-9356-0

Orthogonal Polynomials for a Class of Measures with Discrete Rotational Symmetries in the Complex Plane

2016· preprint· en· W2247716601 on OpenAlexafffund
Ferenc Balogh, Тамара Грава, Dario Merzi

Bibliographic record

VenueConstructive Approximation · 2016
Typepreprint
Languageen
FieldMathematics
TopicMathematical functions and polynomials
Canadian institutionsConcordia University
FundersConcordia UniversityFonds de recherche du Québec – Nature et technologiesLeverhulme Trust
KeywordsMathematicsOrthogonal polynomialsOrthogonalityComplex planeEigenvalues and eigenvectorsLambdaCombinatoricsDistribution (mathematics)Measure (data warehouse)Matrix (chemical analysis)Mathematical analysisAsymptotic distributionNormal matrixGeometryPhysicsQuantum mechanics

Abstract

fetched live from OpenAlex

We obtain the strong asymptotics of polynomials $$p_n(\lambda )$$ p n ( λ ) , $$\lambda \in {\mathbb {C}}$$ λ ∈ C , orthogonal with respect to measures in the complex plane of the form $$\begin{aligned} \hbox {e}^{-N(|\lambda |^{2s}-t\lambda ^s-\overline{t}\overline{\lambda }^s)}\hbox {d}A(\lambda ), \end{aligned}$$ e - N ( | λ | 2 s - t λ s - t ¯ λ ¯ s ) d A ( λ ) , where s is a positive integer, t is a complex parameter, and $$\hbox {d}A$$ d A stands for the area measure in the plane. This problem has its origin in normal matrix models. We study the asymptotic behavior of $$p_n(\lambda )$$ p n ( λ ) in the limit $$n,N\rightarrow \infty $$ n , N → ∞ in such a way that $$n/N\rightarrow T$$ n / N → T constant. Such asymptotic behavior has two distinguished regimes according to the topology of the limiting support of the eigenvalues distribution of the normal matrix model. If $$0<|t|^2 T/s$$ | t | 2 > T / s , the eigenvalue distribution support consists of s connected components. Correspondingly, the support of the limiting zero distribution of the orthogonal polynomials consists of a closed contour contained in each connected component. Our asymptotic analysis is obtained by reducing the planar orthogonality conditions of the polynomials to equivalent contour integral orthogonality conditions. The strong asymptotics for the orthogonal polynomials is obtained from the corresponding Riemann–Hilbert problem by the Deift–Zhou nonlinear steepest descent method.

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)0.007
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 score0.004
Threshold uncertainty score0.014

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.007
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0030.001
Science and technology studies0.0010.004
Scholarly communication0.0020.003
Open science0.0010.002
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0040.001

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 head0.080
GPT teacher head0.325
Teacher spread0.245 · 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

Citations4
Published2016
Admission routes2
Has abstractyes

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