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LeanPool.Superdiffusion.Algsuperdiff.Section3.Provider.Diffusivity.ApproximateRecurrence.LocalizationFluctuationJointBackground

LocalizationFluctuationJointBackground #

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

hcomp and the measurability half of hbg, from one class hypothesis #

ABK26, l.approximate.recurrence.formula, Step 2.

What this module does #

LocalizationFluctuationMuMeasCell.integrable_meshFluctuationCellIntegrand' carries two hypotheses whose content is measurability in the sample:

This module reduces both, simultaneously and for every Y at once, to the single statement

  omega |->  [ background_omega ]   is measurable into  L^2(cell; R^{2d}) ,

i.e. to measurability of the background field's L^2 class. Adding a fixed test field is a translation of the L^2 carrier, hence continuous, so the class of background + Y is measurable as soon as the class of background is; and LocalizationFluctuationJointField.measurable_doubledMuValue_meshCellCoeff_of_measurable_class then converts a measurable class into a measurable energy.

The remaining obligation, stated exactly #

After this module the whole hcomp/hbg-measurability front is the single proposition

  Measurable (fun omega : CutoffSample d =>
    toHilbertBlockL2OfBlockField
      (memBlockL2_blockField (hpot omega) (hflux omega)))

at F = meshCellBackground M n h Kc e e' wD wN R. Its two legs are the constant load P_z (whose sample measurability is proved at PrincipalResponseLoadMeas.measurable_shellIndexSigma_principalPz) and bfF_z, whose legs are the corrector gradients, proved as L^2 classes on the localization cube cu_K at Corrector.measurable_freshShell{Dirichlet,Neumann}GradL2. The one piece of plumbing still missing between the two is the restriction of an L^2 class from the localization cube to the mesoscopic cell, which Corrector.CorrectorMeasurableGradient explicitly records as not built.

Binders #

Beyond the typing binders: [NeZero d]; the vector-L^2 membership of the two legs of the background at every sample (a typing property of the corrector data); and the class measurability. No integrability, no estimate, no smallness, and no selection of any minimizer occurs.

Scope #

There is no sorry, no admit, no custom axiom and no set_option maxHeartbeats.

References #

The class map is additive #

Adding a fixed test field translates the L^2 class of the background by a constant, hence preserves measurability of the class.

The reduction of hcomp and of the measurability half of hbg #

The hcomp/hbg measurability front, reduced to one class hypothesis.

At every fixed competitor Y --- in particular at Y = 0, which is hbg --- the doubled energy value of the shifted background is measurable in the sample, given only that the background's own L^2 class is.

on hpot, hflux (typing), hYpot, hYflux (typing of the competitor) and hclass. No estimate, no integrability and no selection.