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The spin-glass phase-transition in the Hopfield model with p-spin\n interactions

2001· preprint· W4300823766 on OpenAlexaff
Anton Bovier, Beat M. Niederhauser

Bibliographic record

VenuearXiv (Cornell University) · 2001
Typepreprint
Language
FieldPhysics and Astronomy
TopicTheoretical and Computational Physics
Canadian institutionsWiLAN (Canada)
Fundersnot available
KeywordsSpin glassInverseDisjoint setsPhysicsSpin (aerodynamics)Inverse temperatureCombinatoricsEnergy (signal processing)Measure (data warehouse)Phase transitionZero (linguistics)Distribution (mathematics)Zero temperatureCountable setCondensed matter physicsMathematicsMathematical physicsQuantum mechanicsThermodynamicsMathematical analysis

Abstract

fetched live from OpenAlex

We study the Hopfield model with pure $p$-spin interactions with even $p\\geq\n4$, and a number of patterns, M(N) growing with the system size, $N$, as $M(N)\n= \\a N^{p-1}$. We prove the existence of a critical temperature $\\b_p$\ncharacterized as the first time quenched and annealed free energy differ. We\nprove that as $p\\uparrow\\infty$, $\\b_p\\to\\sqrt {\\a 2\\ln 2}$. Moreover, we show\nthat for any $\\a>0$ and for all inverse temperatures $\\b$, the free energy\nconverges to that of the REM at inverse temperature $\\b/\\sqrt\\a$. Moreover,\nabove the critical temperature the distribution of the replica overlap is\nconcentrated at zero. We show that for large enough $\\a$, there exists a\nnon-empty interval of in the low temperature regime where the distribution has\nmass both near zero and near $\\pm 1$. As was first shown by M. Talagrand in the\ncase of the $p$-spin SK model, this implies the the Gibbs measure at low\ntemperatures is concentrated, asymptotically for large $N$, on a countable\nunion of disjoint sets, no finite subset of which has full mass. Finally, we\nshow that there is $\\a_p\\sim 1/p!$ such that for $\\a>\\a_p$ the set carrying\nalmost all mass does not contain the original patterns. In this sense we\ndescribe a genuine spin glass transition.\n Our approach follows that of Talagrand's analysis of the $p$-spin SK-model.\nThe more complex structure of the random interactions necessitates, however,\nconsiderable technical modifications. In particular, various results that\nfollow easily in the Gaussian case from integration by parts fromulas have to\nbe derived by expansion techniques.\n

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How this classification was reachedexpand

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 categoriesMeta-epidemiology (narrow)
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 score0.639
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0010.000
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 head0.041
GPT teacher head0.214
Teacher spread0.174 · 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 teacher head, not a consensus.

Study designSimulation or modeling
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

Citations1
Published2001
Admission routes1
Has abstractyes

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