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Record W2157584435 · doi:10.1080/10652469.2012.672323

A new transformation formula for fractional derivatives with applications

2012· article· en· W2157584435 on OpenAlexaff
Richard E. Tremblay, Sébastien Gaboury, B.-J. Fugère

Bibliographic record

VenueIntegral Transforms and Special Functions · 2012
Typearticle
Languageen
FieldPhysics and Astronomy
TopicAdvanced Mathematical Theories and Applications
Canadian institutionsRoyal Military College of CanadaUniversité du Québec à Chicoutimi
Fundersnot available
KeywordsMathematicsLaurent seriesFractional calculusSpecial functionsAlgebra over a fieldTaylor seriesTransformation (genetics)Chain rule (probability)Calculus (dental)Orthogonal polynomialsPure mathematicsApplied mathematicsMathematical analysis

Abstract

fetched live from OpenAlex

Since 1970, we can find in the literature an important development concerning the fractional derivative theory. A large number of such familiar formulas from the elementary calculus have been shown to be special cases of more general expressions involving fractional derivatives. Taylor's and Laurent's series, the chain rule and Lagrange's expansion are such examples. In this paper, we add to this theory the following transformation formula for fractional derivatives: where α and p are arbitrary complex numbers. We explore many applications to special functions and several new summation formulas arising from the Darboux formula involving the classical orthogonal polynomials and Abel's identities are obtained.

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)0.002
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: Methods · Consensus signal: Methods
Teacher disagreement score0.006
Threshold uncertainty score0.019

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0020.001
Science and technology studies0.0010.001
Scholarly communication0.0010.003
Open science0.0010.001
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0060.001

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 head0.013
GPT teacher head0.266
Teacher spread0.254 · 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
GenreMethods

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

Citations6
Published2012
Admission routes1
Has abstractyes

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