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LeanPool.Superdiffusion.Algsuperdiff.Section3.Provider.Base.CutoffCoarseNormBounds

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 #

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.