Circle-average process of the Gaussian free field Created 2026-09-24 Updated 2026-11-05
For the zero-boundary Gaussian free field in the unit disc, choose the logarithmic Green normalizationFor , let be the uniform probability measure on the circle of radius about zero. The Circle-average process of the Gaussian free field is the measure pairing . This is meaningful even though the continuum field has no ordinary pointwise values: the circular measure has finite Green energy, because its diagonal logarithmic singularity is integrable.
Decreasing radius means increasing logarithmic time. Angular averaging of the Green kernel gives . Thus in L2 space as , and define by this limit; it is not a pointwise field restriction to the unit-disc boundary. The Circle-average process of the Gaussian free field is Brownian motion article verifies the covariance and continuity. For another positive Green normalization the same process is rescaled by its square root.[ref]
Gaussian free fields for mathematicians by Scott Sheffield. Section 2.8, Circle averages and thick points; logarithmic normalization specified here
Finite-Green-energy measure pairing with a Gaussian free field Created 2026-09-28 Updated 2026-11-05
Let be a finite measure on with finite Green energy, in the normalization of the Green-kernel expansion in the Dirichlet space. For an orthonormal basis and independent standard Gaussian random variables , defineThe sum converges in L2 space, since the sum of the coefficient squares equals the Green energy. It is centered Gaussian withFor several measures, the same coefficients give their cross-covariances by the corresponding mixed Green integrals.
The joint law is independent of the chosen basis. A stronger pathwise statement needs consistent coefficients: realize the field through one isonormal Gaussian process on the Dirichlet Hilbert space and take for each basis. Then Parseval's identity makes both expansions equal to the same -pairing in L2 space. Drawing a fresh independent coefficient family for a different basis produces another field with the same law, not the same outcome-by-outcome field. This distinguishes basis invariance of a construction from an unspecified coupling of two constructions.[ref]
Gaussian free fields for mathematicians by Scott Sheffield. Sections 2.1–2.3: Gaussian Hilbert spaces and series construction
Green-kernel expansion in the Dirichlet space Created 2026-09-28 Updated 2026-11-05
Fix a bounded planar domain and explicitly choose the Dirichlet form normalizationIts Dirichlet Green function of the Laplacian satisfies . Let be an orthonormal basis of the corresponding Sobolev space . The formal expansionis interpreted as a weak kernel identity. Concretely, for smooth compactly supported test functions ,The identity follows by applying Parseval's identity to the two Riesz representatives for the integration functionals. It is not a claim that arbitrary Sobolev space basis functions have pointwise values everywhere or that the series converges on the singular diagonal.
For a finite measure with finite Green energy, the same Hilbert-space identity gives . This is the square-summability condition for a Finite-Green-energy measure pairing with a Gaussian free field. An alternative energy normalization rescales both the basis and the Green kernel; specifying the factor prevents an unnoticed mismatch.[ref]
Gaussian free fields for mathematicians by Scott Sheffield. Section 2, Hilbert-space basis construction; the energy has been explicitly rescaled here