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Record W1998279580 · doi:10.4153/cjm-2004-007-4

Linear Operators on Matrix Algebras that Preserve the Numerical Range, Numerical Radius or the States

2004· article· en· W1998279580 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

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

Bibliographic record

VenueCanadian Journal of Mathematics · 2004
Typearticle
Languageen
FieldMathematics
TopicAdvanced Topics in Algebra
Canadian institutionsUniversity of Victoria
FundersNational Science Foundation
KeywordsNumerical rangeMathematicsNorm (philosophy)Scalar (mathematics)Spectral radiusNumerical analysisDiagonal matrixLinear algebraCombinatoricsEigenvalues and eigenvectorsMathematical analysisDiagonalGeometryQuantum mechanicsPhysicsLaw

Abstract

fetched live from OpenAlex

Abstract Every norm v on C n induces two norm numerical ranges on the algebra M n of all n × n complex matrices, the spatial numerical range where v D is the norm dual to v , and the algebra numerical range where is the set of states on the normed algebra M n under the operator norm induced by v . For a symmetric norm v , we identify all linear maps on M n that preserve either one of the two norm numerical ranges or the set of states or vector states. We also identify the numerical radius isometries, i.e. , linear maps that preserve the (one) numerical radius induced by either numerical range. In particular, it is shown that if v is not the ℓ 1 , ℓ 2 , or ℓ ∞ norms, then the linear maps that preserve either numerical range or either set of states are “inner”, i.e. , of the form A ⟼ Q * AQ , where Q is a product of a diagonal unitary matrix and a permutation matrix and the numerical radius isometries are unimodular scalar multiples of such inner maps. For the ℓ 1 and the ℓ ∞ norms, the results are quite different.

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.

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)0.003
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: Theoretical or conceptual
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.064
Threshold uncertainty score0.644

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.001
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 head0.054
GPT teacher head0.325
Teacher spread0.271 · 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