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DefinitionDefinition: Literature-sourcedProof: Not applicablePipeline-generatedjudge pass (gpt-6-luna)verified 2026-11-04 (gpt-6.1-sol)
How statement and proof provenance work

The first chip identifies the source of the statement or construction; the second identifies the source of its local proof or verification.

  • Literature-sourced: the exact statement appears in a cited source; only wording and notation differ.
  • AI-adapted: a semantically identical restatement of literature-sourced material, modulo indexing, notation, and boundary cases adopted by the library.
  • AI-generated: a genuinely novel statement formulated by AI, with no source for the claim itself.

These labels describe origin, not correctness: citations and verification chips remain separate evidence.

Spherical Gaussian multiplicative chaos interaction data

Definition

Let X be the centered random distribution on the Riemann sphere with covariance K(z,w)=log⁡(1/∣z−w∣)+log⁡∣z∣++log⁡∣w∣+ and background measure dA0(z)=∣z∣+−4dxdy, as specified by the earlier GFF definition. Let ρε range over its smooth local averaging families. For 0<γ<2, define the regularized positive random measures

Mγ,ε(dz)=exp⁡ ⁣(γXε(z)−γ22E[Xε(z)2])dA0(z).

A spherical Gaussian multiplicative chaos datum at parameter γ is a finite positive random Radon measure Mγ on S such that for every f∈C(S;R), ∫Sf dMγ,ε converges in probability to ∫Sf dMγ as ε↓0, with the same limit for every admitted smoothing family. “Nonzero” means P(Mγ(S)>0)=1. This definition specifies the required limit as data; it does not by itself assert that such data exist for every 0<γ<2.

Remarks

The subcritical parameter range in the cited construction is 0<γ<2 in real dimension two. The local L2 argument on the assigned page covers only 0<γ<2; a complete local construction of the Radon-measure limit on the full interval remains a separate proof obligation.

Depends on

Dependency tree · 2 levels

Sources