BoundaryGradH #
Ported from scottnarmstrong/Superdiffusion at 7f20476385d4af418f110303085ad0740c9eba46. Module imports, support namespace and local option directives adapted for Lean Pool.
The two ∇h conversions of the boundary Caccioppoli, and the σ-leg fork #
The boundary Caccioppoli's data leg is CoarseGraining's dirichletEnergyWith,
whose second summand carries the full Besov norm of the transported
boundary gradient,
‖∇h‖_{B^r} = √(|(∇h)_{□_{n+2}}|²) + [∇h]_{B^r} , h = h(· + c) ,
c = wellPlacedCentre x m (n+2).
- the seminorm half — the same lemma read at
g := −∇h, together with thegagliardoKernelnegation congruence it needs to see that[−∇h] = [∇h].
References #
- ABK26,
l.harmonic.approximation.good.scales, Step 2;e.cg.RHS, the Dirichlet energy display.
1. The gagliardoKernel negation congruence, on the datum #
The Gagliardo L² datum does not see a sign.
2. The seminorm half of the ∇h leg #
The transported datum-gradient Besov budget under covering-cube containment.
The transported boundary gradient's cube Besov seminorm, priced on the anchor window.
3. The average half of the ∇h leg #
The Euclidean length of a vector is at most √d times its ambient (sup)
norm.
The transported gradient-average budget under covering-cube containment.
The transported boundary gradient's cube average, priced on the anchor window.