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Record W4390786559

Partial derivatives over hypercomplex variables for non-analytic functions in eight-dimensional algebra

2023· preprint· en· W4390786559 on OpenAlexaff
Martin Bouchard, Juhi Khalid

Bibliographic record

VenueHAL (Le Centre pour la Communication Scientifique Directe) · 2023
Typepreprint
Languageen
FieldMathematics
TopicAlgebraic and Geometric Analysis
Canadian institutionsUniversity of Ottawa
Fundersnot available
KeywordsHypercomplex numberMathematicsAlgebra over a fieldPure mathematicsQuaternion
DOInot available

Abstract

fetched live from OpenAlex

This paper provides the formulation of partial derivatives over hypercomplex variables for functions of octonions or split-biquaternions. The proposed partial derivatives are an extension to the case of octonions and split-biquaternions algebras of the well-known Wirtinger/CR-calculus for complex-numbers algebra, and HR-calculus or generalized HR-calculus for quaternion algebra. The octonionic functions considered in this paper are not constrained by analyticity, holomorphy, harmonicity, conformality, regularity or monogenic property constraints. Instead, the only constraint for the octonionic functions considered in this paper is that each element of an octonionic function be real-differentiable over the (real-valued) variable of each element in an octonion or split-biquaternion variable. We first show that the approach based on rotations over basis components used in the development of HR-calculus or generalized-HR calculus is not suitable for the two considered 8-dimensional hypercomplex algebras. Instead, we justify the use of transformations based on Hadamard matrices, which allows a common framework for the development of partial derivatives for complex-numbers, quaternion, octonion and split-biquaternion algebras. The results of this paper can be an important step towards the development of optimization algorithms and adaptive filtering algorithms of hypercomplex variables from 8-dimensional hypercomplex algebras.

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 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)0.005
metaresearch head score (Gemma)0.006
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
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 score0.656
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0050.006
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.001
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0010.000

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 head0.048
GPT teacher head0.285
Teacher spread0.237 · 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 teacher head, not a consensus.

Study designTheoretical or conceptual
Domainnot available
GenreEmpirical

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

Citations0
Published2023
Admission routes1
Has abstractyes

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