LIE POINT SYMMETRIES AND CONSERVATION LAW TO FRACTIONAL ζ(t)-KDV EQUATION
Bibliographic record
Abstract
In this present paper we apply the Lie group theory associated fractional calculus to obtain the symmetries of the ζ(t)-KdV fractional partial differential equation, which is given by in terms of the ζ-Riemann-Liouville time fractional partial derivative, in which a particular case of the ζ(t)-Hilfer fractional partial derivative is obtained. The calculus of symmetries considers the explicit formula of this infinitesimal extension of the fractional operator. The fractional partial equation is reduced to a fractional differential ordinary equation, and an analytical solution is proposed in the form of a power series. We obtain a nonlinear recurrence for the coefficients of the series. We discuss the linearized case for the fractional KdV equation, obtaining the Mainardi function as the solution, and the results are interpreted graphically. We then present the conservation law theorem for fractional ζ(t) operators, and we applied the law to find the law associated with each symmetry.
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 imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.001 | 0.002 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".