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Record W6979316454

The $m$th order Orlicz projection bodies

2025· article· en· W6979316454 on OpenAlexfundno aff

Bibliographic record

VenuearXiv (Cornell University) · 2025
Typearticle
Languageen
FieldMathematics
TopicPoint processes and geometric inequalities
Canadian institutionsnot available
FundersNatural Sciences and Engineering Research Council of CanadaCentre Scientifique et Technique du BâtimentNational Natural Science Foundation of ChinaChongqing Municipal Education CommissionNatural Science Foundation of ChongqingChongqing Science and Technology Commission
KeywordsProjection (relational algebra)ConvexityConvex setConvex bodyRegular polygonConvex functionFunction (biology)Affine transformationOrder (exchange)
DOInot available

Abstract

fetched live from OpenAlex

Let $M_{n, m}(\mathbb{R})$ be the space of $n\times m$ real matrices. Define $\mathcal{K}_o^{n,m}$ as the set of convex compact subsets in $M_{n,m}(\mathbb{R})$ with nonempty interior containing the origin $o\in M_{n, m}(\mathbb{R})$, and $\mathcal{K}_{(o)}^{n,m}$ as the members of $\mathcal{K}_o^{n,m}$ containing $o$ in their interiors. Let $Φ: M_{1, m}(\mathbb{R}) \rightarrow [0, \infty)$ be a convex function such that $Φ(o)=0$ and $Φ(z)+Φ(-z)>0$ for $z\neq o.$ In this paper, we propose the $m$th order Orlicz projection operator $Π_Φ^m: \mathcal{K}_{(o)}^{n,1}\rightarrow \mathcal{K}_{(o)}^{n,m}$, and study its fundamental properties, including the continuity and affine invariance. We establish the related higher-order Orlicz-Petty projection inequality, which states that the volume of $Π_Φ^{m, *}(K)$, the polar body of $Π_Φ^{m}(K)$, is maximized at origin-symmetric ellipsoids among convex bodies with fixed volume. Furthermore, when $Φ$ is strictly convex, we prove that the maximum is uniquely attained at origin-symmetric ellipsoids. Our proof is based on the classical Steiner symmetrization and its higher-order analogue. We also investigate the special case for $Φ_{Q}=ϕ\circ h_Q$, where $h_Q$ denotes the support function of $Q\in \mathcal{K}^{1, m}_o$ and $ϕ: [0, \infty)\rightarrow [0, \infty)$ is a convex function such that $ϕ(0)=0$ and $ϕ$ is strictly increasing on $[0, \infty).$ We establish a higher-order Orlicz-Petty projection inequality related to $Π_{Φ_Q}^{m, *} (K)$. Although $Φ_Q$ may not be strictly convex, we characterize the equality under the additional assumption on $Q$ and $ϕ$, such as $Q\in \mathcal{K}_{(o)}^{1,m}$ and the strict convexity of $ϕ$.

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: Methods · Consensus signal: Methods
Teacher disagreement score0.013
Threshold uncertainty score0.042

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.001
Science and technology studies0.0010.003
Scholarly communication0.0020.003
Open science0.0010.002
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0130.002

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 head0.108
GPT teacher head0.235
Teacher spread0.127 · 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
GenreMethods

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
Published2025
Admission routes1
Has abstractyes

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