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Record W2774451264 · doi:10.48550/arxiv.1712.05459

Minimizing the mean projections of finite $\rho$-separable packings

2017· preprint· en· W2774451264 on OpenAlexaff
Károly Bezdek, Zsolt Lángi

Bibliographic record

VenuearXiv (Cornell University) · 2017
Typepreprint
Languageen
FieldMathematics
TopicPoint processes and geometric inequalities
Canadian institutionsUniversity of Calgary
Fundersnot available
KeywordsCombinatoricsSeparable spaceConvex bodyRegular polygonMathematicsHyperplaneBall (mathematics)Disjoint setsConvex hullEuclidean spacePacking problemsGeometryMathematical analysis

Abstract

fetched live from OpenAlex

A packing of translates of a convex body in the $d$-dimensional Euclidean\nspace $\\mathbb{E}^d$ is said to be totally separable if any two packing\nelements can be separated by a hyperplane of $\\mathbb{E}^{d}$ disjoint from the\ninterior of every packing element. We call the packing $\\mathcal P$ of\ntranslates of a centrally symmetric convex body $\\mathbf{C}$ in $\\mathbb{E}^d$\na $\\rho$-separable packing for given $\\rho\\geq 1$ if in every ball concentric\nto a packing element of $\\mathcal P$ having radius $\\rho$ (measured in the norm\ngenerated by $\\mathbf{C}$) the corresponding sub-packing of $\\mathcal P$ is\ntotally separable. The main result of this paper is the following theorem.\nConsider the convex hull $\\mathbf{Q}$ of $n$ non-overlapping translates of an\narbitrary centrally symmetric convex body $\\mathbf{C}$ forming a\n$\\rho$-separable packing in $\\mathbb{E}^d$ with $n$ being sufficiently large\nfor given $\\rho\\geq 1$. If $\\mathbf{Q}$ has minimal mean $i$-dimensional\nprojection for given $i$ with $1\\leq i<d$, then $\\mathbf{Q}$ is approximately a\n$d$-dimensional ball. This extends a theorem of K. B\\"or\\"oczky Jr. [Monatsh.\nMath. 118 (1994), 41-54] from translative packings to $\\rho$-separable\ntranslative packings for $\\rho\\geq 1$.\n

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 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)0.001
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 score0.151
Threshold uncertainty score0.990

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
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 science0.0010.001
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 head0.267
GPT teacher head0.267
Teacher spread0.001 · 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.

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".

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Citations0
Published2017
Admission routes1
Has abstractyes

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