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Record W4385884194 · doi:10.3934/dcds.2023092

Large-time behavior of solutions for unipolar Euler-Poisson equations with critical over-damping

2023· article· en· W4385884194 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.
fundA Canadian funder is recorded on the work.

Bibliographic record

VenueDiscrete and Continuous Dynamical Systems · 2023
Typearticle
Languageen
FieldMathematics
TopicNavier-Stokes equation solutions
Canadian institutionsChamplain Regional CollegeMcGill University
FundersNatural Sciences and Engineering Research Council of CanadaNational Natural Science Foundation of ChinaCapital Normal University
KeywordsLogarithmEuler's formulaInteger (computer science)MathematicsMathematical analysisPoisson distributionPerturbation (astronomy)Initial value problemEuler equationsCauchy distributionConvergence (economics)Backward Euler methodApplied mathematicsPhysicsComputer scienceQuantum mechanics

Abstract

fetched live from OpenAlex

This paper is concerned with the large-time behavior of solutions to the Cauchy problem for the one-dimensional unipolar Euler-Poisson equations with critical time-dependent over-damping. We prove that the Cauchy problem admits a unique global smooth solution which time-asymptotically converges to the stationary solution in the logarithmic form $ O(\ln^{-\frac{k}{2}}(1+t)) $ for the integer $ k\in[1, +\infty) $. In particular, the integer $ k $ can be large enough as the initial perturbation is small enough. This convergence rate is much better than the previous studies with critical over-damping. The proof is based on the technical time-weighted energy estimates and the mathematical induction.

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.

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)0.001
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.967
Threshold uncertainty score0.769

Codex and Gemma teacher scores by category

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

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 head0.044
GPT teacher head0.334
Teacher spread0.290 · 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