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Record W4404710963 · doi:10.1080/00036811.2024.2432524

Well-posedness, monotonicity, asymptotic translation of the Cauchy problem of delayed reaction–diffusion systems

2024· article· en· W4404710963 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

VenueApplicable Analysis · 2024
Typearticle
Languageen
FieldMedicine
TopicMathematical and Theoretical Epidemiology and Ecology Models
Canadian institutionsWilfrid Laurier University
FundersNatural Sciences and Engineering Research Council of CanadaNational Natural Science Foundation of China
KeywordsMathematicsMonotonic functionTranslation (biology)Initial value problemDiffusionReaction–diffusion systemCauchy distributionCauchy problemApplied mathematicsMathematical analysisThermodynamics

Abstract

fetched live from OpenAlex

In this paper, we establish a new basic theory on the Cauchy problem of delayed reaction–diffusion systems on the whole Euclidean space, where the initial function space is equipped with the compact open topology (also called coarse topology). Generally, under this coarse topology, the reaction terms are not locally Lipschitz continuous. Even they are, it is difficult to boil down the basic theory on the Cauchy problem to the (parameterized) contraction mapping problem. To overcome this difficulty, we explain and prove the uniqueness of solutions from a new perspective. This provides a unified way to obtain the basic theory on the Cauchy problem of delayed reaction–diffusion systems on the whole Euclidean space, which includes the local existence, uniqueness, and continuous dependence of solutions. Moreover, we show that, with respect to the compact open topology, the solution semiflow is monotone and possesses the property of asymptotic translation.

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)0.000
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: Empirical
Teacher disagreement score0.911
Threshold uncertainty score0.255

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
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 head0.015
GPT teacher head0.271
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