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Record W2769814769

On some refinements of the embedding of critical Sobolev spaces into BMO, and a study of stability for parabolic equations with time delay

2017· dissertation· en· W2769814769 on OpenAlexfundno aff
Almaz Butaev

Bibliographic record

VenueSpectrum Research Repository (Concordia University) · 2017
Typedissertation
Languageen
FieldMathematics
TopicNonlinear Partial Differential Equations
Canadian institutionsnot available
FundersConcordia University
KeywordsMathematicsSobolev spaceBounded functionStability (learning theory)Mathematical analysisEmbeddingContext (archaeology)Sobolev inequalityHeat equationParabolic partial differential equationPartial differential equation
DOInot available

Abstract

fetched live from OpenAlex

Van Schaftinen showed that the inequalities of Bourgain and Brezis give rise to new function spaces that refine the classical embedding of critical Sobolev spaces into BMO. It was suggested by Van Schaftingen that similar results should hold in the setting of bounded domains.
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\nThe first part of this thesis contains the proofs of this conjecture as well as the development of a non-homogeneous theory of Van Schaftingen spaces. Based on the results in the non-homogeneous setting, we are able to show that the refined embeddings can also be established for bmo spaces on Riemannian manifolds with bounded geometry, introduced by Taylor. 
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\nThe stability of parabolic equations with time delay plays an important role in the study of non-linear reaction-diffusion equations with time delay. While the stability regions for such equations without convection on bounded time intervals were described by Travis and Webb, the problem remained unaddressed for the equations with convection. The need to determine exact regions of stability for such equations appeared in the context of the work of Mei and Wang on the Nicholson equation with delay.
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\nIn the second part of this thesis, we study the parabolic equations with and without convection. It has been shown that the presence of convection terms can change the regions of stability. The implications for the stability problems for non-linear equations are also discussed.

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.

How this classification was reachedexpand

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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.469
Threshold uncertainty score0.924

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0010.001
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 head0.073
GPT teacher head0.384
Teacher spread0.311 · 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

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designTheoretical or conceptual
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations0
Published2017
Admission routes1
Has abstractyes

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