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Record W6983783980

On non-nuclear C*-algebras with the Local Lifting Property

2023· dissertation· en· W6983783980 on OpenAlexfundno aff

Bibliographic record

VenueeScholarship@McGill (McGill) · 2023
Typedissertation
Languageen
FieldMathematics
TopicAdvanced Operator Algebra Research
Canadian institutionsnot available
FundersMcGill University
KeywordsProperty (philosophy)Action (physics)Term (time)Stability (learning theory)Work (physics)
DOInot available

Abstract

fetched live from OpenAlex

A C*-algebra has the lifting property (LP) if any ucp map to a quotient C*-algebra admits a ucp lift.It has the local lifting property (LLP) if every ucp map from a finite dimensional operator system admits a ucp lift.The latter, introduced by Kirchberg in 1993 [23], is dual to the weak expectation property introduced by Lance in 1973 [24].The Choi-Effros lifting theorem [10] implies that nuclear C*-algebras have the LLP, however non-nuclear examples are few and far between.Following a construction of Courtney [13], we present an exposition of results from various fields of C*-algebra theory which we will use to give another such example. ResuméUne C*-algèbre a la propriété de relèvement (local), si toute fonction unitale et complètement positive (ucp) à valeur dans une C*-algèbre quotient admet (localement) un relèvement ucp.Cette propriété de Kirchberg (1993) [23] est en dualité avec la propriété d'espérance faible de Lance (1973) [24].Grâce à un theorème de Choi et Effros [10], nous savons que les C*algèbres séparables et nucléaires ont la propriété de relèvement local.Pourtant, les exemples non-nucléaires ne sont pas nombreux.Suivant une construction de Courtney [13], nous donnons un exposé de divers résultats venant de la théorie des C*-algèbres et construisons un tel exemple en se basant sur ces résultats.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.002
Version: metacan-v3-hybrid-931329e0061cValidation 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: Empirical · Consensus signal: Empirical
Teacher disagreement score0.010
Threshold uncertainty score0.032

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.001
Science and technology studies0.0020.003
Scholarly communication0.0020.006
Open science0.0010.003
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0100.001

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 head0.031
GPT teacher head0.294
Teacher spread0.263 · 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 source (direct Gemma or distilled Codex), 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
Published2023
Admission routes1
Has abstractyes

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