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LeanPool.Superdiffusion.Algsuperdiff.Section4.Support.FluxCorrectedRepresentative

FluxCorrectedRepresentative #

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

The measurable flux-corrected (∞,2) representative #

Algsuperdiff.Section4.Support.ErrorAtoms records the literal flux-corrected observable fluxCorrectedError — the (∞,2) homogenization error of a_L − (k_L − k_m)_Q on □_k — and its L ≥ m supremum in [0,∞]. As at (∞,2) in Section 3, the literal is not measurable by composition.

The proved Section 3 chain (Observable/CutoffCoarseBlockRepresentative.lean, Observable/CutoffHomogenizationErrorRepresentative.lean) is built for Cutoff.coefficientCutoff specifically: its a.e.-measurable coarse-block input comes from Cutoff.coefficientCutoffLaw_lawCarrier, the Chapter 4 RestrictionLawCarrier of the pushforward of the cutoff sample law along coefficientCutoff. This module re-derives that input at the flux-corrected field, and reuses everything downstream of it verbatim.

The re-derivation has exactly three ingredients.

  1. The flux-corrected field is a genuine carrier element and the map into the carrier is genuinely measurable: a_L − (k_L − k_m)_Q is Cutoff.coefficientCutoff M.nu L ω plus the constant carrier field constRegCoeffField (−(k_L − k_m)_Q(ω)), whose sample dependence is measurable by measurable_fluxIncrementAverage_entry. Both RegCoeffField lanes of the constant summand are handled directly: the pointwise lane is an entry evaluation, and the entry-test lane is (k_L−k_m)_Q(ω)_{ij} ∫ φ.
  2. Every sample of the flux-corrected field is locally a.e.-uniformly elliptic, because the subtracted matrix is skew (so the symmetric part is still ν Id) and its entries are uniformly bounded on each cube.
  3. Hence the pushforward law is a Chapter 4 RestrictionLawCarrier, which supplies CoarseGraining's a.e.-measurable coarse full-block observable.

Nothing else changes: normalizedBlockResponseMaxRepresentativeFunctional, the compact-sphere identification normalizedBlockResponseMaxFromFullCoarseBlock_eq_representativeFunctional_of_nonneg and the geometric scale sum are exponent- and coefficient-agnostic and are used exactly as proved.

Main definitions #

References #

The flux-corrected coefficient as a carrier field #

The flux-corrected coefficient a_L − (k_L − k_m)_Q as an element of CoarseGraining's regular-fields carrier: the cutoff coefficient plus a constant carrier field.

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    The flux-corrected carrier field is a genuinely measurable function of the cutoff sample.

    Local uniform ellipticity of every flux-corrected sample #

    The uniform entry envelope of the flux-corrected field on a cube R: the proved cutoff envelope on R plus the entry mass of the constant shift.

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      The upper ellipticity constant of the flux-corrected field on a cube R.

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        Every flux-corrected sample lies in CoarseGraining's Chapter 4 local a.e.-uniform ellipticity carrier: the subtracted matrix is skew, so the symmetric part is still ν Id, and on each cube the entries are uniformly bounded.

        The canonical Chapter 2 triadic coefficient family of the flux-corrected field. It is CoarseGraining's own dependent family construction at the witness above; no new family is introduced.

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          The Chapter 4 law carrier of the flux-corrected law #

          The pushforward of the cutoff-sample law along the flux-corrected carrier map is a Chapter 4 RestrictionLawCarrier.

          The flux-corrected coarse-block representative #

          The literal full coarse block matrix of the flux-corrected coefficient.

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            The everywhere-defined normalized response functional of the common flux-corrected coarse-block representative.

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              The literal normalized block-response maximum of the flux-corrected family is the finite-dimensional sphere maximum of its literal full coarse matrix.

              At every fixed cube, the flux-corrected coarse-block representative realizes CoarseGraining's literal normalized response maximum almost everywhere.

              The flux-corrected error representative #

              The finite descendant maximum of the flux-corrected coarse-block representatives.

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                The nonnegative everywhere-defined functional of the flux-corrected error. Unlike the proved (∞,2) cutoff chain, no A.mk is needed at this layer: every descendant maximum above is genuinely measurable, so the geometric scale sum is too.

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                  The paper-wide assumption 2 ≤ d, stored in the model, supplies the nonzero-dimension instance required by CoarseGraining's doubled-response A.

                  The genuine measurable, nonnegative representative of the flux-corrected (∞,2) error 𝓔_{s,∞,2}(□_k; a_L − (k_L − k_k)_{□_k}, σ_k Id).

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                    The flux-corrected representative is almost everywhere exactly the literal flux-corrected error of ErrorAtoms.

                    The public sup_{L ≥ m} observables #

                    The sup_{L ≥ m} 𝓔_{s,∞,2}(□_m; a_L − (k_L − k_m)_{□_m}, σ_m Id) of p.mathcalE.annular.decomp, taken in [0,∞] so that no convergence side condition enters the statement.

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                      The squared supremum sup_{L ≥ m} 𝓔_{s,∞,2}(…)², the left-hand side of the main display of p.mathcalE.annular.decomp read literally (the square is inside the supremum, as printed).

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                        A single probability-one event carries the per-L identities simultaneously, because the index set is countable.