Dirichlet energy space 2026-10-05
For planar Gaussian free field theory, this is the completion of real test functions in the norm induced by the Dirichlet inner product, . On a general unbounded domain this convention must be distinguished from completion in the inhomogeneous norm. A conformal map identifies its energy norm with that on the unit disc by conformal invariance.
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.
The Gaussian free field is a random distribution, so its purported level curve cannot be defined by evaluating its height at every point. A coupling must instead be stated using conditional means and covariances. The SLE4 coupling with a Gaussian free field does exactly this.
Choose the Green-function normalization
A Zero-boundary Gaussian free field is characterized on real compactly supported smooth test functions by
Equivalently its energy normalization is the Dirichlet inner product . This fixes the otherwise convention-dependent height constant.
Set and
The field has prescribed Dirichlet values on the negative half-line and on the positive half-line. Subtracting recovers the zero-Dirichlet field . It is the shifted field , rather than an unshifted zero-boundary field, whose zero-height interface has ordinary chordal law.
Let be chordal from to , with Chordal Loewner equation and . Write and . The coupling statement is:
where, conditionally on the curve, is an independent zero-boundary field in the slit domain. The equality is for restrictions to test functions in that domain, and extends to suitable stopping times. Its covariance is by conformal invariance. The two sides of the revealed slit have heights and , in the order specified by their real images under . This is the continuum meaning of a Gaussian free field level line.
The fundamental calculations explain why the parameter is four. For , the Itô formula gives
At the drift vanishes. Thus
Each harmonic mean is a bounded martingale before approaching its point. Differentiating the explicit conformally transformed Green function gives the Loewner variation of the Dirichlet Green function
Therefore
In words, the variance learned from the evolving mean exactly equals the covariance lost when the slit is removed. For a Green kernel the same calculation gives ; using a different Green normalization changes the height constant, not the SLE parameter.
To construct the coupling, first sample the SLE curve. In the two components to its left and right, sample independent zero-boundary fields and add the corresponding constant heights. Extend these as distributions to obtain the candidate full field. The following martingale identity proves its marginal law rather than merely matching its first two moments.
For a real test function , put and
Localization permits integration of the pointwise identities. They yield . Hence
is a complex local martingale: the drift cancels the Itô correction. Since , , making it a true martingale. At the complete-curve limit, becomes the constant height in each component and the remaining Green kernel becomes that of those components. Thus is the conditional characteristic function of the sampled candidate field. Taking expectations gives
Applying this to every linear combination of test functions proves the entire Gaussian law, not only its covariance. The conditional version proves the displayed conditional-field statement. Exhaustion by compact test supports justifies passage across the slit and the limiting distributional extensions.
This revealed curve is a local set of a Gaussian free field: conditionally on it, the remaining field is a zero-boundary field plus a specified harmonic function. The spatial Markov property is thereby preserved at random domains, a property not available for arbitrary field-dependent sets. One can strengthen the coupling to a curve measurable from the field. The proof explores compatible interfaces in small subdomains and uses the conditional boundary heights and monotonicity to show that two such interfaces for the same field cannot separate; a countable exhaustion gives uniqueness. This supplies a rigorous replacement for the informal phrase “draw the zero contour.” It does not assert that the distribution has pointwise values.
The coupling is useful in both directions: SLE martingales give exact conditional Gaussian free field data, while the Gaussian Markov structure explains the SLE domain Markov property and its distinguished parameter. With the above normalization, the height jump is , and the corresponding interface is chordal SLE4.
Using the usual zero-boundary Sobolev space convention,
where weak derivatives define and is the space of test functions. In the Gaussian free field convention, the same notation often denotes the Dirichlet energy space, the completion in the gradient norm alone. On bounded domains the Poincaré inequality makes the two definitions equivalent; on unbounded domains one must distinguish them. The following gradient-pairing argument applies in either setting whenever the energy completion is realized as weak functions.
Identify with a vector subspace of by zero extension of H01. Approximating by test functions in shows that this is an isometric embedding in the inhomogeneous Sobolev norm and also in the Dirichlet inner product norm. In particular, arbitrary irregularity of causes no additional boundary term.
Define
These are weakly harmonic Sobolev functions. For , integration by parts in the weak sense gives . If , choose converging to in , or in energy for the homogeneous convention. The Cauchy-Schwarz inequality gives
Hence the orthogonality of supported and harmonic Dirichlet functions is
Both are linear vector subspaces. In the inhomogeneous convention they are closed: the first is the isometric image of a complete space, and the second is the intersection of the kernels of the linear functionals . No spanning assertion is needed. The PDF contains this orthogonality statement; the TeX has badly corrupted it into an assertion about openness.
Choose an orthonormal basis of the Dirichlet energy space and independent variables with the standard normal distribution. The zero-boundary Gaussian free field is the formal series
Its precise energy-indexed interpretation is the isonormal Gaussian process
For every fixed , this sum converges in of the probability space by Parseval identity, and it is a centered Gaussian random variable. For ,
This covariance characterizes its law independently of the chosen basis. The series does not define an -valued random element: almost surely. It is realized as a random distribution, and its pairing with ordinary test functions is constructed in part (b).
The convention used for planar Gaussian free field theory is the Dirichlet energy space:
It is a real Hilbert space with the extended Dirichlet inner product. A conformal map from the unit disc onto identifies the two energy completions, so local representatives can be understood through the disc's zero-boundary space.
For an arbitrary unbounded domain this is the homogeneous energy completion; it should be distinguished from completion in the inhomogeneous norm used in another standard definition of the zero-boundary Sobolev space. On bounded domains with a Poincaré inequality, the two norms are equivalent.
The zero-boundary Gaussian free field on is the isonormal Gaussian process over : for , the variables are centered jointly Gaussian and satisfy
Equivalently, for an orthonormal basis of and independent standard normal variables ,
as a random generalized function.
The continuum Gaussian free field on is the centered Gaussian random distribution indexed by smooth compactly supported test functions, with covariance
where is the Green kernel of . Equivalently, its covariance operator is .
The field is centered and jointly Gaussian. Since the Gaussian free field has covariance and ,
Also and
Joint Gaussianity turns this zero covariance into independence. Therefore is a Pinned Gaussian free field at , independent of , with covariance equal to the Green function of the walk killed on hitting .
For a Gaussian free field with boundary heights and on the two sides of the starting point, its distinguished zero-height interface has chordal law. Conditional on an initial curve segment, the field is a zero-boundary field in the slit domain plus . Its mean bracket equals minus the variation of its conditional Green covariance. Subtracting the initial harmonic function gives the corresponding coupling to a zero-boundary field.