TermARefined #
Ported from scottnarmstrong/Superdiffusion at 7f20476385d4af418f110303085ad0740c9eba46. Module imports, support namespace and local option directives adapted for Lean Pool.
The scale-damped Term A Besov budget on a sub-cube #
Source: ABK26, together with its mesoscopic bookkeeping.
Provider.BigLambda.CubeTermA prices the positive Besov norm of the Term A
field hᵀ p against ‖h‖_{W^{1,∞}(□₀)}, uniformly in the cube. That bound is
too weak for the unconditional aggregation: the Term A error is aggregated
over 3^{dH} mesoscopic cubes against the root L² value norm, and the
undamped W^{1,∞} bound loses the whole gain of the mesoscopic depth.
This module proves the sharp replacement
‖hᵀ p‖_{B^{3/8}_{2,2}(R)} ≤ C(d) |p| ( ‖h‖_{L²(R)} + |R| ‖∇h‖_{W^{1,∞}(□₀)} ) ,
whose two halves are:
- the mean half, bounded by the normalized
L¹average of|h|onRand hence, by Cauchy-Schwarz, by the cube-localL²value budgetProvider.ResponseUnconditional.valueBudget; - the oscillation half, bounded by
cubeScaleFactor Rtimes the Lipschitz constant of the gradient-Lipschitz representative of the value field, i.e. by|R| ‖∇h‖_{W^{1,∞}}.
At a cube of depth H below the unit cube cubeScaleFactor R = 3^{-H}, so the
second half is damped exactly as the frozen statement requires.
Every declaration in this module is an internal helper for the Section 2.4 sensitivity providers.
The pointwise Term A bound by the Euclidean matrix norm #
The mean half #
The oscillation half #
The scale-damped oscillation half. The cubeScaleFactor is kept: it
is the mesoscopic damping factor of the unconditional estimate.
The refined budget #
The constant of the scale-damped Term A budget.
Equations
Instances For
The scale-damped Term A positive Besov budget on a sub-cube.