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Record W2011304208 · doi:10.1063/1.1615696

On the generalized problem of the Boltzmann equation and the moment method in kinetic theory of gases

2003· article· en· W2011304208 on OpenAlexaff
M. Chen

Bibliographic record

VenueJournal of Mathematical Physics · 2003
Typearticle
Languageen
FieldMathematics
TopicGas Dynamics and Kinetic Theory
Canadian institutionsVanier College
Fundersnot available
KeywordsBoltzmann equationBoltzmann's entropy formulaMathematicsBalance equationEntropy (arrow of time)H-theoremMaximum entropy thermodynamicsDetailed balanceMaximum entropy probability distributionPrinciple of maximum entropyStatistical physicsEntropy in thermodynamics and information theoryDistribution functionKinetic energyApplied mathematicsMathematical analysisJoint quantum entropyThermodynamicsPhysicsClassical mechanicsMarkov process

Abstract

fetched live from OpenAlex

In this paper we formulate the generalized problem of the Boltzmann equation based on the kinetic entropy balance equation in conjunction with the maximum entropy principle. First we prove that the solution of this generalized problem is unique. We then prove that the entropy balance equation obtained by Eu in extended irreversible thermodynamics is valid, if, and only if, the one-particle distribution function fa is the solution of this generalized problem. As a by-product of this result, we also obtain a statistical expression of the thermodynamic entropy balance equation that shares the same formula as the kinetic entropy balance equation.

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)0.002
metaresearch head score (Gemma)0.005
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 score0.003
Threshold uncertainty score0.012

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.005
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.002
Bibliometrics0.0010.001
Science and technology studies0.0010.003
Scholarly communication0.0010.004
Open science0.0010.003
Research integrity0.0020.002
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 head0.040
GPT teacher head0.296
Teacher spread0.256 · 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

Citations1
Published2003
Admission routes1
Has abstractyes

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