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Record W4405561915 · doi:10.48550/arxiv.2412.12353

Instability in ${\cal N}=4$ supersymmetric Yang-Mills theory at finite density

2024· preprint· en· W4405561915 on OpenAlexfundno aff
Liam Gladden, Victor Ivo, Pavel Kovtun, Andrei O. Starinets

Bibliographic record

VenuearXiv (Cornell University) · 2024
Typepreprint
Languageen
FieldPhysics and Astronomy
TopicQuantum Chromodynamics and Particle Interactions
Canadian institutionsnot available
FundersNatural Sciences and Engineering Research Council of Canada
KeywordsYang–Mills theoryInstabilityPhysicsMathematical physicsQuantum electrodynamicsGauge theoryQuantum mechanics

Abstract

fetched live from OpenAlex

Equilibrium states of ${\cal N}=4$ supersymmetric Yang-Mills theory can be characterized by the temperature and three chemical potentials, corresponding to the ${\rm U}(1)^3$ subgroup of the $R$-symmetry group. We investigate the phase diagram of the theory at strong coupling, in the grand canonical ensemble in flat space, using its holographic description via the five-dimensional model of Behrnd, Cvetič, and Sabra. The bulk action includes the metric, three Abelian gauge fields, and two neutral scalar fields. The equilibrium state described by the charged black brane is always thermodynamically unstable at low temperature. Relativistic hydrodynamics with multiple conserved charges predicts that thermodynamic instability is accompanied by a dynamical instability, with the eigenvalues and eigenvectors of the corresponding Hessian playing a key role in identifying the unstable modes. We explicitly demonstrate this for three equal chemical potentials, finding unstable quasinormal modes that describe $R$-charge diffusion. Consequently, the low-temperature phase of ${\cal N}=4$ supersymmetric Yang-Mills theory with equal chemical potentials is not described by the AdS-Reissner-Nordström black brane.

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)0.000
metaresearch head score (Gemma)0.001
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: Empirical · Consensus signal: Empirical
Teacher disagreement score0.002
Threshold uncertainty score0.006

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0010.002
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0010.000
Insufficient payload (model declined to judge)0.0020.000

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 head0.041
GPT teacher head0.201
Teacher spread0.160 · 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
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
Published2024
Admission routes1
Has abstractyes

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