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Brownian Motion in a Classical Ideal Gas: a Microscopic Approach to\n Langevin's Equation

2002· preprint· en· W4300469022 on OpenAlexaff
Rangan Lahiri, Arvind Arvind, Anirban Sain

Bibliographic record

VenuearXiv (Cornell University) · 2002
Typepreprint
Languageen
FieldPhysics and Astronomy
TopicAdvanced Thermodynamics and Statistical Mechanics
Canadian institutionsUniversity of Waterloo
Fundersnot available
KeywordsBrownian motionLangevin equationPhysicsLangevin dynamicsBrownian dynamicsIdeal gasContext (archaeology)Classical mechanicsIdeal (ethics)Correlation function (quantum field theory)Boltzmann equationParticle (ecology)Boltzmann constantDistribution functionStatistical physicsDissipationMathematical physicsMechanicsQuantum mechanicsLaw

Abstract

fetched live from OpenAlex

We present an insightful ``derivation'' of the Langevin equation and the\nfluctuation dissipation theorem in the specific context of a heavier particle\nmoving through an ideal gas of much lighter particles. The Newton's Law of\nmotion ($m{\\ddot x}=F$) for the heavy particle reduces to a Langevin equation\n(valid on a coarser time scale) with the assumption that the lighter gas\nparticles follow a Boltzmann velocity distribution. Starting from the\nkinematics of the random collisions we show that (1) the average force $<F>\n\\propto -{\\dot x}$ and (2) the correlation function of the fluctuating force\n$\\eta= F-< F>$ is related to the strength of the average force.\n

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)0.001
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Simulation or modeling · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.003
Threshold uncertainty score0.007

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.000
Science and technology studies0.0000.002
Scholarly communication0.0010.002
Open science0.0010.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0020.000

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 head0.065
GPT teacher head0.199
Teacher spread0.134 · 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 designSimulation or modeling
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".

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Citations0
Published2002
Admission routes1
Has abstractyes

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