CutoffCoarseNormBounds #
Ported from scottnarmstrong/Superdiffusion at 7f20476385d4af418f110303085ad0740c9eba46. Module imports, support namespace and local option directives adapted for Lean Pool.
Coarse-matrix norm bounds for the coefficient cutoff #
This module turns the specialized cutoff Loewner chain into operator-norm
bounds on every triadic cube. The upper coarse matrix is controlled by the
volume-normalized squared Frobenius mass of the stream, while the inverse
starred matrix is controlled deterministically by nu⁻¹. Finite suprema give
the corresponding bounds over every fixed descendant depth.
The proof on an arbitrary cube is reduced to the centered cube of the same
scale. BadEvents.coarseBlockMatrix_cutoff_translateCutoffSample supplies the
coarse-block covariance directly. Translation invariance of normalized
volume averages identifies the centered Frobenius mass with the mass on the
original cube. Thus no root-cube supremum replaces a translated local mass.
Main results #
coarseBMatrixNorm_coefficientCutoff_lebounds the upper coarse-matrix norm on an arbitrary cube bynu + nu⁻¹times its cutoff Frobenius mass.coarseSigmaStarInvMatrixNorm_coefficientCutoff_lebounds the inverse starred coarse-matrix norm bynu⁻¹.maxDescendantBMatrixNormAtScale_coefficientCutoff_leandmaxDescendantSigmaStarInvMatrixNormAtScale_coefficientCutoff_legive the corresponding fixed-depth descendant bounds.
On every triadic cube, the upper coarse-matrix norm of the cutoff is at
most nu + nu⁻¹ times the local squared Frobenius mass.
On every triadic cube, the inverse starred coarse-matrix norm of the
coefficient cutoff is at most nu⁻¹.
At a fixed descendant depth, the maximal upper coarse-matrix norm is controlled by the genuine maximum of the translated local Frobenius masses.
At every fixed descendant depth, the maximal inverse starred coarse-matrix
norm of the coefficient cutoff is at most nu⁻¹.