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Record W205893080 · doi:10.1090/crmp/042/19

Inverse spectral problems for Schrödinger operators with energy depending potentials

2007· book-chapter· en· W205893080 on OpenAlexaff
Ари Лаптев, Roman Shterenberg, V. V. Sukhanov

Bibliographic record

VenueCRM proceedings & lecture notes · 2007
Typebook-chapter
Languageen
FieldMathematics
TopicSpectral Theory in Mathematical Physics
Canadian institutionsMcGill UniversityCarleton University
Fundersnot available
KeywordsSchrödinger's catTRACE (psycholinguistics)GeneralizationGravitational singularityInverseMathematicsInverse problemDiscrete spectrumSolitonTrace classSpectrum (functional analysis)Energy (signal processing)Class (philosophy)Mathematical physicsPure mathematicsPhysicsMathematical analysisQuantum mechanicsComputer scienceEigenvalues and eigenvectorsNonlinear systemGeometryHilbert space

Abstract

fetched live from OpenAlex

Abstract. We study an inverse problem for a class of Schrödinger operators with energy depending potentials. In particular, we show that introduction of the discrete spectrum generically does not lead to singularities of the cor-responding soliton solutions. In our last chapter we derive some new trace formulas which could be considered as generalization of a standard trace for-mulas for Schrödinger operators. 1.

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)0.004
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: Other · Consensus signal: none
Teacher disagreement score0.006
Threshold uncertainty score0.022

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.004
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.000
Science and technology studies0.0010.003
Scholarly communication0.0020.004
Open science0.0010.002
Research integrity0.0030.003
Insufficient payload (model declined to judge)0.0060.001

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 head0.052
GPT teacher head0.289
Teacher spread0.237 · 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
GenreOther

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

Citations8
Published2007
Admission routes1
Has abstractyes

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