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Gaussian free field on the Riemann sphere in the Liouville convention
Definition
Let with its usual two complex charts. In the finite chart write , put , and use the finite positive background measure . It has total mass . Under , the Jacobian gives the same coordinate expression , which is continuous and positive but not smooth across . Independently, use the smooth round metric in the finite chart; in the chart it has the same expression. Write for its geodesic distance and for its area measure. The covariance kernel below is interpreted globally in the two charts as a locally integrable function off its logarithmic diagonal singularity.
A centered spherical Gaussian free field in the Liouville convention is a probability space and a real linear map such that every finite vector is centered Gaussian and, for all real smooth test functions ,
This finite-chart formula is global: when , it becomes in the chart; when and , it becomes , and the other mixed case follows by symmetry. These formulas agree on overlaps and have only the stated diagonal logarithmic singularity.
Require that, outside one null set, is a continuous distribution on with its usual test-function topology. The point notation is only shorthand for this random distribution and its covariance kernel; it does not assert a pointwise value. Fix and a finite constant large enough for the constructions below. A smoothing family is a family of nonnegative smooth local averaging kernels , for , supported where , satisfying , with unit integral in against and satisfying for every smooth . For every two such families , the mixed regularized covariance is and converges to off the diagonal, with uniformly in for one finite depending only on and the fixed sphere geometry, as verified below. Set ; this is a smooth Gaussian field for each . Thus the local L2 lemma has its mixed-family covariance hypothesis. The test pairing uses the smooth measure ; the distinct measure remains the interaction/background measure in GMC and is not inserted into the smoothing pairing. No division by the nonsmooth density of is used.
This convention fixes the background measure and additive normalization used by the probabilistic Liouville sphere construction. The constant mode is not part of and is introduced separately in that construction.
Definition references
Proof
Given: A random distribution with the covariance and almost-sure continuity in the Definition, the round sphere, and the fixed scale bound .
Choose a nonnegative smooth function on , positive at zero and identically zero for arguments at least , with all derivatives zero at . For , set and . The squared distance is smooth below the injectivity radius; outside that region the numerator is identically zero, so the kernel is globally smooth. Round-ball area bounds give . This constructs a nonempty class with a fixed finite scale bound . The unit integral and shrinking support imply approximation of each continuous test function uniformly.
The kernel satisfies with bounded on the complement of the diagonal and extending boundedly across it. Indeed the chordal-distance identity rewrites the finite-chart singularity using the bounded continuous function in each variable; round distance and chordal distance have bounded ratio. Continuity off the diagonal includes points on the equator: is continuous and locally Lipschitz there, although not differentiable. Probability averaging on shrinking balls therefore gives the asserted off-diagonal covariance limit.
Write and . If , all pairs in the two supports have distance between and , so the logarithmic bound follows immediately. If , average first in the variable whose smoothing radius is . Its probability density is at most . For every fixed other point , the round polar-area bound gives . Since , the inequality gives the averaged upper bound . In this case ; together with the bounded remainder from step 1.2 this proves the displayed uniform mixed bound.
For every sample distribution in the one full-probability event in the Definition, is smooth: derivatives in pass through the continuous linear functional on smooth tests. This assertion differentiates the smooth test kernel, not or . In a planar chart with , a fixed nonnegative compact planar convolution is represented exactly by the smooth test . A cutoff and a smooth partition of unity extend such kernels to global averaging kernels; local equivalence of the round and planar distances gives their scale bound after a fixed rescaling of the parameter. Any fixed finite selection of these profiles and the kernels of step 1.1 fits one common . In particular planar radial convolutions remain available across , since is smooth there. Their covariance averages the original and no density multiplier survives. This proves the smoothing claims without any smoothness assumption on the equatorial background measure.
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Nothing. This result depends on no other item in the library.