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Record W4393514395 · doi:10.1007/s00440-024-01271-7

Subcritical Gaussian multiplicative chaos in the Wiener space: construction, moments and volume decay

2024· article· en· W4393514395 on OpenAlexaboutno aff
Rodrigo Bazaes, Isabel Lammers, Chiranjib Mukherjee

Bibliographic record

VenueProbability Theory and Related Fields · 2024
Typearticle
Languageen
FieldMathematics
TopicStochastic processes and statistical mechanics
Canadian institutionsnot available
FundersWestfälische Wilhelms-Universität MünsterDeutsche Forschungsgemeinschaft
KeywordsMathematicsMultiplicative functionMathematical financeCHAOS (operating system)GaussianStatistical physicsOrnstein–Uhlenbeck processMathematical analysisStochastic processStatisticsPhysicsQuantum mechanics

Abstract

fetched live from OpenAlex

Abstract We construct and study properties of an infinite dimensional analog of Kahane’s theory of Gaussian multiplicative chaos (Kahane in Ann Sci Math Quebec 9(2):105-150, 1985). Namely, if $$H_T(\omega )$$ H T ( ω ) is a random field defined w.r.t. space-time white noise $$\dot{B}$$ B ˙ and integrated w.r.t. Brownian paths in $$d\ge 3$$ d ≥ 3 , we consider the renormalized exponential $$\mu _{\gamma ,T}$$ μ γ , T , weighted w.r.t. the Wiener measure $$\mathbb {P}_0(\textrm{d}\omega )$$ P 0 ( d ω ) . We construct the almost sure limit $$\mu _\gamma = \lim _{T\rightarrow \infty } \mu _{\gamma ,T}$$ μ γ = lim T → ∞ μ γ , T in the entire weak disorder (subcritical) regime and call it subcritical GMC on the Wiener space. We show that $$\begin{aligned} \mu _\gamma \Big \{\omega : \lim _{T\rightarrow \infty } \frac{H_T(\omega )}{T(\phi \star \phi )(0)} \ne \gamma \Big \}=0 \qquad \text{ almost } \text{ surely, } \end{aligned}$$ μ γ { ω : lim T → ∞ H T ( ω ) T ( ϕ ⋆ ϕ ) ( 0 ) ≠ γ } = 0 almost surely, meaning that $$\mu _\gamma $$ μ γ is supported almost surely only on $$\gamma $$ γ -thick paths, and consequently, the normalized version is singular w.r.t. the Wiener measure. We then characterize uniquely the limit $$\mu _\gamma $$ μ γ w.r.t. the mollification scheme $$\phi $$ ϕ in the sense of Shamov (J Funct Anal 270:3224–3261, 2016) – we show that the law of $$\dot{B}$$ B ˙ under the random rooted measure $$\mathbb Q_{\mu _\gamma }(\textrm{d}\dot{B}\textrm{d}\omega )= \mu _\gamma (\textrm{d}\omega ,\dot{B})P(\textrm{d}\dot{B})$$ Q μ γ ( d B ˙ d ω

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)0.001
metaresearch head score (Gemma)0.004
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 score0.008

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.004
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0020.001
Science and technology studies0.0010.003
Scholarly communication0.0020.002
Open science0.0010.002
Research integrity0.0010.001
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 head0.017
GPT teacher head0.293
Teacher spread0.275 · 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

Citations1
Published2024
Admission routes1
Has abstractyes

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