Documentation

LeanPool.Superdiffusion.Algsuperdiff.Section4.Provider.Proportion.G2Concentration

G2Concentration #

Ported from scottnarmstrong/Superdiffusion at 7f20476385d4af418f110303085ad0740c9eba46. Module imports, support namespace and local option directives adapted for Lean Pool.

The ๐’ขโ‚‚ lane: r-dependence of the atoms X_j #

ABK26, ยง4.1, l.ratio.of.good.scales.for.mathcal.E: the Appendix-D independence hypothesis of the lane's atoms.

r-dependence #

columnsIndep_Xcal is the ๐’ขโ‚‚ twin of Concentration.columnsIndep_Ycal, and it runs on exactly the same geometry: the atom X_j reads only truncation levels โ‰ค j โˆ’ 2 and only on annulusRegion d j (G2Locality.measurable_Xcal_annulusRegion_local, a statement with no hypotheses), so the varying-level producer Probability.iIndepFun_of_local_cutoffSample applies at the separation supplied by Probability.separatedBy_annulusRegion_of_gap at the truncation offset c = 2.

Scope #

Provider material: proved local helpers.

References #

1. r-dependence of the ๐’ขโ‚‚ atoms #

The Appendix-D independence hypothesis e.independent.columns.twosided for the ๐’ขโ‚‚ lane.

The atoms X_j are r-dependent for every r โ‰ฅ 1 with 3 + 2ยท3^{1โˆ’2}โˆšd โ‰ค 3^r, i.e. 3 + (2/3)โˆšd โ‰ค 3^r. The statement is at the general r, so no dimension restriction enters this file.

Unlike the ๐’ขโ‚€ lane, the locality input needs no premise at all: the ๐’ขโ‚‚ locality endpoint measurable_Xcal_annulusRegion_local is unconditional.