OneStepSchauderReproducing #
Ported from scottnarmstrong/Superdiffusion at 7f20476385d4af418f110303085ad0740c9eba46. Module imports, support namespace and local option directives adapted for Lean Pool.
The reproducing convolution #
A harmonic function reproduces itself against any unit-mass radial kernel:
integrating the mean value property in the radius against the radial profile
gives u(x₀) = (K_ε ⋆ u)(x₀) whenever K_ε is supported in a ball on which
u is harmonic. This module proves that identity and packages it as a
convolution, which is the exact form the interior estimates differentiate.
Reproducing identity for a radial kernel. Let u ∈ C² be harmonic on Metric.ball x R and
let K be a continuous, radial, compactly supported kernel of unit mass whose
support sits inside the
ball of radius ρ ≤ R (i.e. K z = 0 whenever ρ ≤ ‖z‖). Then K reproduces u at the center:
∫ y, K (y - x) · u y = u x.
Pointwise value of the mollified reproducing convolution. Let u ∈ C² be harmonic on
Metric.ball x' R' with ε ≤ R', and suppose the ε-ball around x' sits inside the localization
ball ball x₀ r₀. Then the convolution of the ε-scaled kernel with the localized field evaluates
to u x' at x'.