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Record W2323146034 · doi:10.3934/cpaa.2015.14.397

On the asymptotic stability of Volterra functional equations with vanishing delays

2015· article· en· W2323146034 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.

Bibliographic record

VenueCommunications on Pure &amp Applied Analysis · 2015
Typearticle
Languageen
FieldMathematics
TopicNumerical methods for differential equations
Canadian institutionsMemorial University of NewfoundlandToronto Metropolitan University
Fundersnot available
KeywordsVolterra integral equationMathematicsConvolution (computer science)Integral equationCollocation (remote sensing)Stability (learning theory)Collocation methodVolterra equationsExtension (predicate logic)Exponential stabilityApplied mathematicsAsymptotic analysisMathematical analysisNonlinear systemDifferential equationComputer sciencePhysicsOrdinary differential equation

Abstract

fetched live from OpenAlex

We analyze the asymptotic stability of solutions of linear Volterra integralequations with general continuous convolution kernels and vanishing delays.The analysis is based on an extension of the variation-of-parameter formulafor non-delay Volterra integral equations and on energy function techniques.The delay integral equations studied in this paper will be of interestin the (still open) stability analysis of numerical methods (e.g. collocation andRunge-Kutta-type methods) for Volterra integral equations with vanishingdelays.

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)0.002
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: Theoretical or conceptual
GenreCandidate signal: Methods · Consensus signal: none
Teacher disagreement score0.854
Threshold uncertainty score0.610

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.002
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.000
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 head0.269
GPT teacher head0.361
Teacher spread0.092 · 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