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Record W4407870857 · doi:10.5206/mt.v5i1.16090

Series and Product Representations of Gamma, Pseudogamma and Inverse Gamma Functions

2025· article· en· W4407870857 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.

venuePublished in a venue whose home country is Canada.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueMaple Transactions · 2025
Typearticle
Languageen
FieldEngineering
TopicAdvanced Control Systems Design
Canadian institutionsnot available
Fundersnot available
KeywordsGamma functionSeries (stratigraphy)InverseInverse-gamma distributionMathematicsPure mathematicsStatisticsGeologyGeometry

Abstract

fetched live from OpenAlex

We derive and prove product and series representations of the gamma function using Newton interpolation. We then show how these equations can be used to construct better and better approximations to the gamma function by writing it as a product over the prime numbers. The series definition is also used to find a new representation for the Euler-Mascheroni constant, containing only rational terms. After that, we introduce a new pseudogamma function which we call the Lambda function. This function interpolates the factorial at the positive integers, the reciprocal factorial at the negative integers and converges for the entire real axis. Finally, we conjecture a novel series representation for the principal branch of the inverse gamma function Γ(y)=x.

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: Bench or experimental · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.949
Threshold uncertainty score0.546

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 studies0.0000.000
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 head0.007
GPT teacher head0.210
Teacher spread0.203 · 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