Documentation

LeanPool.Superdiffusion.Algsuperdiff.Section3.Provider.Multiscale.LayerPerCubePricing

LayerPerCubePricing #

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

Seam 2, per-cube pricing: the ladder #

Provider/Multiscale/ConclusionSeam2.lean currently prices a whole Whitney layer by DOMINATING it with the root cube: its sum_cubeMassRatio_mul_cubeAverage_le_streamIncrementLpMass bounds the volume-weighted layer mass by streamIncrementLpMass p m n1 n2, and the layer's own mass fraction is thrown away. The corrected Step-3 aggregation, with the exponent bookkeeping amended, asks for something else: the translated Gamma_2 wave estimate applied to the squared variables, then the normalized Gamma triangle inequality over the layer, then the square root.

This module supplies the measurability input that the first rung of that ladder needs.

The ladder #

For a sub-family S of the depth-j descendants of cu_m (the Whitney layer is such a sub-family, by mem_descendantsAtDepth_of_mem_whitneyLayer):

  per cube          ||k_{n2} - k_{n1}||_{Lbar^p(Q)}   =  O_{Gamma_2}( normScale ) ,
  fourth powers     avg_Q |k_{n2}-k_{n1}|^p           =  O_{Gamma_{2/p}}( massScale ) ,
  weighted sum      sum_Q w_Q avg_Q ...               =  O_{Gamma_{2/p}}( C_tri massScale ) ,
  square root (p=4) sqrt( sum_Q w_Q avg_Q ... )       =  O_{Gamma_1}( sqrt(C_tri massScale) ) .

What is NOT claimed #

Main results #

References #

The weights are normalized #

Measurability of the per-cube mass #

The per-cube L^p mass is a random variable: it is the origin-cube mass at scale Q.scale, read at the translated sample.

The per-cube-priced layer bound #