WholeSpaceDenseRange #
Ported from scottnarmstrong/Superdiffusion at 7f20476385d4af418f110303085ad0740c9eba46. Module imports, support namespace and local option directives adapted for Lean Pool.
Dense range of the stream-field whole-space resolvent #
At large shift, the normalized analytic minimal resolvent is an approximate
identity on compactly supported continuous data. Near the support this uses
uniform continuity and a fixed ball on which radius amplification is inactive.
Far from the support, the amplified radius remains disjoint from the datum and
the same shift-uniform envelope controls the resolvent. Contractivity and the
density of compactly supported data give strong normalization on all of C₀,
and hence dense range.
The analytic tail outside the amplified ball is bounded by the common envelope whenever the base scale is beyond the logarithmic cutoff.
If amplification is inactive, the preceding estimate is the ordinary complement-of-ball tail bound.
The signed real stream resolvent has the exact constant-one normalization.
The centered function restricted to a ball by an indicator.
Equations
- Algsuperdiff.Section5.Field.streamBallPart f x r = (Metric.ball x r).indicator fun (y : HCPolySupport.Vec d) => f y - f x
Instances For
The centered function restricted to the complement of a ball by an indicator.
Equations
- Algsuperdiff.Section5.Field.streamComplementBallPart f x r = (Metric.ball x r)ᶜ.indicator fun (y : HCPolySupport.Vec d) => f y - f x
Instances For
On compactly supported C₀ data, the normalized stream analytic minimal
resolvent converges uniformly to the datum.
The stream-field analytic minimal C₀ resolvent is strongly normalized
at large shifts.
Every operator in the stream analytic minimal C₀ resolvent has dense
range.
The model's split-skew analytic minimal resolver, assembled as a positive
contractive C₀ resolvent. Its operator is definitionally the analytic
minimal operator.
Equations
- One or more equations did not get rendered due to their size.