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FDTD Computational Analysis of Heaviside Faster-Than-Light Problem

2025· article· W4417132816 on OpenAlexaff
Mohammad Marvasti, Halim Boutayeb

Bibliographic record

Venuenot available
Typearticle
Language
FieldEngineering
TopicElectromagnetic Simulation and Numerical Methods
Canadian institutionsUniversité du Québec en Outaouais
Fundersnot available
KeywordsHeaviside step functionElectromagnetic fieldFinite-difference time-domain methodPlane waveNumerical analysisElectromagnetic radiationShock waveWave propagation

Abstract

fetched live from OpenAlex

This paper provides a numerical analysis using the finite-difference time-domain method for an electromagnetic source moving at speeds faster than light, comparing the results with Heaviside's analytical study based on Maxwell's equations. Detailed descriptions of the theoretical and numerical methods are included. Within the Lorentz aether theory framework, if the hypothesis of length contraction is ignored, the speed of light can theoretically be surpassed. The field of a moving plane wave source does not increase with speed if the source impedance is low, addressing the issue of unbounded field growth in Heaviside's work. The full-wave results show that the wave disturbances are left behind the source and they are confined within a cone, such as electromagnetic shock waves. The simulated cone angle matches Heaviside's analysis. This work is applicable for the numerical study of faster-thanlight experiments reported in the literature.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Simulation or modeling · Consensus signal: Simulation or modeling
GenreCandidate signal: Methods · Consensus signal: none
Teacher disagreement score0.800
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.005
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0030.000

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 head0.010
GPT teacher head0.294
Teacher spread0.285 · 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 designSimulation or modeling
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

Citations0
Published2025
Admission routes1
Has abstractyes

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