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Record W2959654790 · doi:10.3934/cpaa.2020024

The weak maximum principle for second-order elliptic and parabolic conormal derivative problems

2019· article· en· W2959654790 on OpenAlex

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affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueCommunications on Pure &amp Applied Analysis · 2019
Typearticle
Languageen
FieldMathematics
TopicNonlinear Partial Differential Equations
Canadian institutionsToronto Metropolitan University
Fundersnot available
KeywordsMathematicsOrder (exchange)Boundary (topology)CombinatoricsMathematical analysis

Abstract

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<p style='text-indent:20px;'>We prove the weak maximum principle for second-order elliptic and parabolic equations in divergence form with the conormal derivative boundary conditions when the lower-order coefficients are unbounded and domains are beyond Lipschitz boundary regularity. In the elliptic case we consider John domains and lower-order coefficients in <inline-formula><tex-math id="M1">\begin{document}$ L_n $\end{document}</tex-math></inline-formula> spaces (<inline-formula><tex-math id="M2">\begin{document}$ a^i, b^i \in L_q $\end{document}</tex-math></inline-formula>, <inline-formula><tex-math id="M3">\begin{document}$ c \in L_{q/2} $\end{document}</tex-math></inline-formula>, <inline-formula><tex-math id="M4">\begin{document}$ q = n $\end{document}</tex-math></inline-formula> if <inline-formula><tex-math id="M5">\begin{document}$ n \geq 3 $\end{document}</tex-math></inline-formula> and <inline-formula><tex-math id="M6">\begin{document}$ q &gt; 2 $\end{document}</tex-math></inline-formula> if <inline-formula><tex-math id="M7">\begin{document}$ n = 2 $\end{document}</tex-math></inline-formula>). For the parabolic case, the lower-order coefficients <inline-formula><tex-math id="M8">\begin{document}$ a^i $\end{document}</tex-math></inline-formula>, <inline-formula><tex-math id="M9">\begin{document}$ b^i $\end{document}</tex-math></inline-formula>, and <inline-formula><tex-math id="M10">\begin{document}$ c $\end{document}</tex-math></inline-formula> belong to <inline-formula><tex-math id="M11">\begin{document}$ L_{q,r} $\end{document}</tex-math></inline-formula> spaces (<inline-formula><tex-math id="M12">\begin{document}$ a^i,b^i, |c|^{1/2} \in L_{q,r} $\end{document}</tex-math></inline-formula> with <inline-formula><tex-math id="M13">\begin{document}$ n/q+2/r \leq 1 $\end{document}</tex-math></inline-formula>), <inline-formula><tex-math id="M14">\begin{document}$ q \in (n,\infty] $\end{document}</tex-math></inline-formula>, <inline-formula><tex-math id="M15">\begin{document}$ r \in [2,\infty] $\end{document}</tex-math></inline-formula>, <inline-formula><tex-math id="M16">\begin{document}$ n\ge 2 $\end{document}</tex-math></inline-formula>. We also consider coefficients in <inline-formula><tex-math id="M17">\begin{document}$ L_{n,\infty} $\end{document}</tex-math></inline-formula> with a smallness condition for parabolic equations.

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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 score0.561
Threshold uncertainty score0.686

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0010.000
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 head0.057
GPT teacher head0.341
Teacher spread0.284 · 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