Aggregation #
Ported from scottnarmstrong/Superdiffusion at 7f20476385d4af418f110303085ad0740c9eba46. Module imports, support namespace and local option directives adapted for Lean Pool.
The descendant b-matrix estimate and its geometric resummation #
Source: ABK26.
Provider.Multiscale.GeometricResummation already performs the resummation
Lambda_{s,2}(cu_0; a₁) ≤ 4 Lambda_{s,2}(cu_0; a₀)
+ K (3/8 - s)^{-1} lambda_{s,2}^{-1}(cu_0; a₀)
from the per-descendant estimate with the fixed same-index factor 4. The
free-δ statement needs the same resummation with a general coefficient c.
coarseBMatrixNorm_perturb_le is the per-descendant input: the pure-potential
J-sensitivity of BigLambda.CubeJSensitivity combined with the identity
2 J(R,p,0;a) = p·b(R;a)p of BigLambda.BMatrix.
Every declaration in this module is an internal helper for the Section 2.4 sensitivity providers.
The resummation with a general same-index coefficient #
The Lambda_{s,2} endpoint with a general same-index coefficient.
The descendant b-matrix estimate #
The descendant b-matrix estimate, the display of ABK26 in its free-δ
form. The constant is cube-independent.