MétaCan
Menu
Back to cohort
Record W4384568967 · doi:10.23952/jnva.7.2023.2.05

A Hankel matrix acting on Fock spaces

2023· article· en· W4384568967 on OpenAlexvenueno aff

Bibliographic record

VenueJournal of Nonlinear and Variational Analysis · 2023
Typearticle
Languageen
FieldComputer Science
TopicMatrix Theory and Algorithms
Canadian institutionsnot available
FundersNatural Science Foundation of Fujian ProvinceBasic and Applied Basic Research Foundation of Guangdong ProvinceGuangdong Polytechnic Normal University
KeywordsFock spaceHankel matrixMatrix (chemical analysis)Pure mathematicsAlgebra over a fieldMathematicsPhysicsMaterials scienceQuantum mechanicsMathematical analysisComposite material

Abstract

fetched live from OpenAlex

Let ν be a positive Borel measure on the interval [0, ∞).Let H ν = (ν n,k ) n,k≥0 be the Hankel matrix with entries ν n,k = [0,∞)In this paper, we investigate those positive Borel measures such that H ν ( f )(z) = [0,∞) f (t)e tz dν(t), z ∈ C for all f ∈ F p , and among them we characterize those for which H ν is a bounded (resp., compact) operator from the Fock space F p into the space F q (0 < p, q < ∞).

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)0.000
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: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.742
Threshold uncertainty score0.229

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
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 head0.017
GPT teacher head0.292
Teacher spread0.275 · 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 designSimulation or modeling
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

Explore more

Same venueJournal of Nonlinear and Variational AnalysisSame topicMatrix Theory and AlgorithmsFrench-language works237,207