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Record W2123713498 · doi:10.1080/10652460701210276

A note on Bernoulli identities associated with the Weierstrass ℘-function

2007· article· en· W2123713498 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.
fundA Canadian funder is recorded on the work.

Bibliographic record

VenueIntegral Transforms and Special Functions · 2007
Typearticle
Languageen
FieldMathematics
TopicAdvanced Mathematical Identities
Canadian institutionsUniversity of Victoria
FundersNatural Sciences and Engineering Research Council of Canada
KeywordsBernoulli's principleBernoulli numberMathematicsBernoulli processBernoulli polynomialsFunction (biology)Euler's formulaOrder (exchange)Bernoulli schemePure mathematicsMathematical analysisOrthogonal polynomialsDifference polynomials

Abstract

fetched live from OpenAlex

Various types of Bernoulli identities have been discussed by Euler, Ramanujan, Rademacher, Eie, and others. In particular, by using certain identities involving zeta functions, Eie constructed several Bernoulli identities systematically. There are many expressions for the Bernoulli number B 2k , which express B 2k as a sum of the products of lower-order Bernoulli numbers in two terms or in three terms. In this article, we show that there is no unique method to calculate the Bernoulli number B 2k as a sum of the products of lower-order Bernoulli numbers in three terms. By employing a technique which is substantially different from the method of Eie’s proof, we derive several Bernoulli identities through the properties of the Weierstrass ℘-function. We also discuss the relationship between these and other known Bernoulli identities.

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)0.000
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: none
Teacher disagreement score0.595
Threshold uncertainty score0.504

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 studies0.0010.000
Scholarly communication0.0000.000
Open science0.0000.000
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 head0.026
GPT teacher head0.286
Teacher spread0.260 · 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