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LeanPool.Superdiffusion.Algsuperdiff.Section3.Provider.Diffusivity.ApproximateRecurrence.Closure.Step5Input

Step5Input #

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

Closure.ClosureStep5Input, from one remaining binder #

Closure.Step5Basket.step5GaugeEndpoint_closureFamilies_of_momentLegs reduces Closure.Step5GaugeEndpoint at the closure's own corrector families to ten binders. Nine of them are discharged by this lane:

binderdischarged by
hgateClosure.Step5Basket.step5CrossDefectConst_mul_gamma_pow_fifteen_le_two_of_regime, from
ClosureRegime
hshell
Closure.Step5InputShellMoment.gridFourthMoment_matrixOperatorNorm_freshShellCubeAverage_root_le
hAmemClosure.Step5InputShellMoment.memLp_four_matrixOperatorNorm_freshShellCubeAverage
hgradM, hvmemClosure.Step5InputGradMoment.exists_step5GradMomentConst
hmemOsc, hoscClosure.Step5InputOscillation.exists_gamma0_step5OscillationLegs
hmeasX, hmeasSClosure.Step5InputSideConditions.aestronglyMeasurable_step5PairingX/S
hintP
Closure.Step5InputSideConditions.integrableOn_cubeSet_vecDot_matVecMul_finiteShellIncrement

The tenth, hsampDef, is carried here as an explicit binder of closureStep5Input_of_sampDef; see the disclosure.

The regime arithmetic #

Three thresholds are merged into the single produced constant:

No smallness of the manuscript is assumed: every threshold is produced, and each is consumed only inside Closure.ClosureRegime.

The localization scale is taken large in three ways at once --- the mesh-depth identity K - j = nmesh of Closure.ClosureAssembly.eventually_closureMeshDepth_scale, the recurrence-parameter gate 10^10 cgamma^{-1} <= K - (n+h) and n + h <= K --- all three being Filter.atTop conditions on K, which is exactly the form Closure.ClosureStep5Input reads.

References #

The mesh scale the closure names is at most the base scale: it is n + h - h - gap.