MétaCan
Menu
Back to cohort
Record W4406772036 · doi:10.1142/s2010326325500029

Moments of the derivative of the characteristic polynomial of unitary matrices

2025· article· en· W4406772036 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueRandom Matrices Theory and Application · 2025
Typearticle
Languageen
FieldComputer Science
TopicMatrix Theory and Algorithms
Canadian institutionsUniversity of Waterloo
FundersNational Science Foundation
KeywordsUnitary stateMathematicsPolynomialDerivative (finance)Unitary matrixPure mathematicsMatrix polynomialAlgebra over a fieldMathematical analysisPolitical scienceLawEconomics

Abstract

fetched live from OpenAlex

Let [Formula: see text] be the characteristic polynomial of a Haar distributed unitary matrix [Formula: see text]. It is believed that the distribution of values of [Formula: see text] model the distribution of values of the Riemann zeta-function [Formula: see text]. This principle motivates many avenues of study. Of particular interest is the behavior of [Formula: see text] and the distribution of its zeros (all of which lie inside or on the unit circle). In this paper, we present several identities for the moments of [Formula: see text] averaged over [Formula: see text], for [Formula: see text] as well as specialized to [Formula: see text]. Additionally, we prove, for positive integer [Formula: see text], that the polynomial [Formula: see text] of degree [Formula: see text] in [Formula: see text] divides the polynomial [Formula: see text] which is of degree [Formula: see text] in [Formula: see text] and that the ratio, [Formula: see text], of these moments factors into linear factors modulo [Formula: see text] if [Formula: see text] is prime. We also discuss the relationship of these moments to a solution of a second-order nonlinear Painléve differential equation. Finally we give some formulas in terms of the [Formula: see text] hypergeometric series for the moments in the simplest case when [Formula: see text], and also study the radial distribution of the zeros of [Formula: see text] in that case.

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.

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 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 score0.369
Threshold uncertainty score0.213

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.000
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 head0.003
GPT teacher head0.223
Teacher spread0.220 · 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