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Record W3009730801 · doi:10.1063/5.0008349

On the large <i>D</i> expansion of Hermitian multi-matrix models

2020· article· en· W3009730801 on OpenAlex
Sylvain Carrozza, Frank D. Ferrari, Adrian Tanasă, Guillaume Valette

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

VenueJournal of Mathematical Physics · 2020
Typearticle
Languageen
FieldMathematics
TopicAlgebraic structures and combinatorial models
Canadian institutionsPerimeter Institute
FundersFonds De La Recherche Scientifique - FNRS
KeywordsHermitian matrixMatrix (chemical analysis)MathematicsMathematical physicsPure mathematicsAlgebra over a fieldPhysicsMathematical analysis

Abstract

fetched live from OpenAlex

We investigate the existence and properties of a double asymptotic expansion in 1/N2 and 1/D in U(N) × O(D) invariant Hermitian multi-matrix models, where the N × N matrices transform in the vector representation of O(D). The crucial point is to prove the existence of an upper bound η(h) on the maximum power D1+η(h) of D that can appear for the contribution at a given order N2−2h in the large N expansion. We conjecture that η(h) = h in a large class of models. In the case of traceless Hermitian matrices with the quartic tetrahedral interaction, we are able to prove that η(h) ≤ 2h; the sharper bound η(h) = h is proven for a complex bipartite version of the model, with no need to impose a tracelessness condition. We also prove that η(h) = h for the Hermitian model with the sextic wheel interaction, again with no need to impose a tracelessness condition.

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)0.000
metaresearch head score (Gemma)0.001
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 score0.487
Threshold uncertainty score0.433

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.001
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 science0.0000.000
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 head0.076
GPT teacher head0.314
Teacher spread0.238 · 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