Let be uniform measure on the circle of radius around the origin in the unit disc. The process is the circle-average process. The Domain Markov property of the Gaussian free field and the mean value property for harmonic functions imply that its increments are independent and stationary.
A random set is local for a Gaussian free field if, conditionally on the set and its associated harmonic function, the remaining field is an independent zero-boundary field in its complement. This extends the deterministic Domain Markov property of the Gaussian free field to appropriate random revealed domains. Arbitrary field-dependent random sets need not have this property.
For an open subdomain , identify with the closed subspace of obtained by zero extension. Its orthogonal complement is
If , then testing against and integrating by parts gives in in the distributional derivative sense. The Weyl lemma therefore gives a representative harmonic on .
The orthogonal decomposition by a closed subspace gives
Project the isonormal process defining onto these two orthogonal subspaces. The projections are jointly Gaussian and uncorrelated, hence independent. The first projection is a zero-boundary Gaussian free field on ; the second is a random distribution that is harmonic on . Thus
with independent summands. This proves the Domain Markov property of the Gaussian free field.
The Zero-boundary Gaussian free field on the unit disc is the centered Gaussian process indexed by finite Borel measures of finite Green energy, with covariance
This covariance determines all its finite-dimensional distributions.
The Domain Markov property of the Gaussian free field says that for every suitable open one can write
where is a zero-boundary Gaussian free field on , independent of , while is harmonic on and carries the information from the field outside .
Take in the Domain Markov property of the Gaussian free field. The field is a harmonic function throughout . If , the circle lies inside , so the mean value property for harmonic functions gives