MétaCan
Menu
Back to cohort
Record W2795696649 · doi:10.22606/aan.2018.32003

The Convolution and Fractional Derivative of Distributions

2018· article· en· W2795696649 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

VenueAdvances in Analysis · 2018
Typearticle
Languageen
FieldMathematics
TopicMathematical and Theoretical Analysis
Canadian institutionsBrandon University
FundersNatural Sciences and Engineering Research Council of Canada
KeywordsConvolution (computer science)MathematicsLimit (mathematics)Sequence (biology)Fractional calculusPure mathematicsSpace (punctuation)Limit of a sequenceCombinatoricsMathematical analysisComputer scienceChemistry

Abstract

fetched live from OpenAlex

Let {n} be a certain sequence of functions in D converging to 1 in D . The commutative neutrix convolution f * g of two distributions f and g in D is defined to be the neutrix limit of the sequence 1 2 {(f n) * g + f * (gn)} , provided the limit exists. We present relations between this new convolution and other existing distributional convolutions, and demonstrate its strong computational power in evaluating convolutions as well as applications to defining new fractional derivatives and integrals of generalized functions in the new space H which contains D (R + ). The neutrix convolutions x - * x + for , , + = 0, 1, 2, and x - * x s + for = 0, 1, 2, and s = 0, 1, 2, are evaluated, from which other neutrix convolutions are deduced.

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)0.001
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 score0.853
Threshold uncertainty score0.267

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.001
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 head0.013
GPT teacher head0.334
Teacher spread0.321 · 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