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Record W6884582690 · doi:10.1093/imrn/rnaf084

Double-Layer Potentials, Configuration Constants, and Applications to Numerical Ranges

2025· article· en· W6884582690 on OpenAlexafffund

Bibliographic record

VenueInternational Mathematics Research Notices · 2025
Typearticle
Languageen
FieldMathematics
TopicHolomorphic and Operator Theory
Canadian institutionsUniversité Laval
FundersNatural Sciences and Engineering Research Council of CanadaCanada Research ChairsUniversité Laval
KeywordsHolomorphic functionHilbert spaceNorm (philosophy)PolynomialModuloSubspace topologyOperator (biology)Boundary (topology)Compact operatorNumerical rangeCompact space

Abstract

fetched live from OpenAlex

Abstract Given a compact convex planar domain $\Omega $ with non-empty interior, the classical Neumann’s configuration constant $c_{\mathbb{R}}(\Omega )$ is the norm of the Neumann–Poincaré operator $K_\Omega $ acting on the space of continuous real-valued functions on the boundary $\partial \Omega $, modulo constants. We investigate the related operator norm $c_{\mathbb{C}}(\Omega )$ of $K_\Omega $ on the corresponding space of complex-valued functions, and the norm $a(\Omega )$ on the subspace of analytic functions. This change requires introduction of techniques much different from the ones used in the classical setting. We prove the equality $c_{\mathbb{R}}(\Omega ) = c_{\mathbb{C}}(\Omega )$, the analytic Neumann-type inequality $a(\Omega ) < 1$, and provide various estimates for these quantities expressed in terms of the geometry of $\Omega $. We apply our results to estimates for the holomorphic functional calculus of operators on Hilbert space of the type $\|p(T)\| \leq K \sup _{z \in \Omega } |p(z)|$, where $p$ is a polynomial and $\Omega $ is a domain containing the numerical range of the operator $T$. Among other results, we show that the well-known Crouzeix–Palencia bound $K \leq 1 + \sqrt{2}$ can be improved to $K \leq 1 + \sqrt{1 + a(\Omega )}$. In the case that $\Omega $ is an ellipse, this leads to an estimate of $K$ in terms of the eccentricity of the ellipse.

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)0.002
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: none
Teacher disagreement score0.826
Threshold uncertainty score0.525

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.001
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 science0.0000.000
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 head0.170
GPT teacher head0.472
Teacher spread0.302 · 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".

Quick stats

Citations2
Published2025
Admission routes2
Has abstractyes

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Same venueInternational Mathematics Research NoticesSame topicHolomorphic and Operator TheoryFrench-language works237,207