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Record W4402685239 · doi:10.1214/24-ejp1200

In search of necessary and sufficient conditions to solve the parabolic Anderson model with fractional Gaussian noises

2024· article· en· W4402685239 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

VenueElectronic Journal of Probability · 2024
Typearticle
Languageen
FieldComputer Science
TopicAdvanced Mathematical Modeling in Engineering
Canadian institutionsUniversity of Alberta
Fundersnot available
KeywordsMathematicsGaussianApplied mathematicsAnderson impurity modelMathematical analysisMathematical optimizationStatistical physics

Abstract

fetched live from OpenAlex

This paper attempts to obtain necessary and sufficient conditions to solve the parabolic Anderson model with fractional Gaussian noises: ∂ ∂tu(t,x)=1 2Δu(t,x)+u(t,x)W˙(t,x), where W(t,x) is the fractional Brownian field with temporal Hurst parameter H0∈[1∕2,1) and spatial Hurst parameters H =(H1,⋯,Hd) ∈(0,1)d, and W˙(t,x)=∂d+1∂t∂x 1⋯∂xdW(t,x). When d=1 and when (H0,H)∈(1 2,1)×(1 20,1 2) we show that the condition 2H0+H>5∕2 is necessary and sufficient to ensure the existence of a unique solution for the parabolic Anderson Model. When d≥2, we find the necessary and sufficient condition on the Hurst parameters so that each chaos of the solution candidate is square integrable.

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: Simulation or modeling · Consensus signal: Simulation or modeling
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.687
Threshold uncertainty score0.186

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
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 head0.018
GPT teacher head0.288
Teacher spread0.270 · 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