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Record W2075904003 · doi:10.1080/03081080701616672

Critical sets of inertias for matrix patterns

2008· article· en· W2075904003 on OpenAlex

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

Bibliographic record

VenueLinear and Multilinear Algebra · 2008
Typearticle
Languageen
FieldComputer Science
TopicComputational Geometry and Mesh Generation
Canadian institutionsUniversity of Victoria
Fundersnot available
KeywordsZero (linguistics)MathematicsSign (mathematics)Order (exchange)CombinatoricsSet (abstract data type)Matrix (chemical analysis)Pure mathematicsMathematical analysisComputer science

Abstract

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An n by n zero-nonzero (resp. sign) pattern is a matrix with entries in {*, 0} (resp. {+, −, 0}), where * denotes a nonzero real number. If allows all (n + 1)(n + 2)/2 possible inertias, then is inertially arbitrary. A nonempty, proper subset S of the set of all possible inertias is a critical set of inertias of order n provided an n by n pattern is inertially arbitrary whenever allows all inertias in S, and S is a minimal critical set if no proper subset of S is a critical set. This new concept of critical sets of inertias facilitates the identification of inertially arbitrary patterns. Minimal critical sets of inertias for irreducible zero-nonzero patterns of orders n = 2, 3, 4 are identified. Using these critical sets of inertias, it is shown that a direct sum of two non-inertially-arbitrary irreducible zero-nonzero patterns of orders ≤ 4 is not inertially arbitrary. However, it is shown that there exists a reducible inertially arbitrary zero-nonzero pattern that is a direct sum of non-inertially-arbitrary irreducible zero-nonzero patterns of order 5. Minimal critical sets of inertias for irreducible sign patterns of orders n = 2, 3 are also identified. It is shown that in general critical sets of inertias for irreducible sign patterns are different from those of irreducible zero-nonzero patterns.

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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)0.000
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 score0.945
Threshold uncertainty score0.339

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
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 head0.030
GPT teacher head0.322
Teacher spread0.293 · 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