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LeanPool.Superdiffusion.Algsuperdiff.Section3.Provider.Diffusivity.Corrector.StreamForcingDeriv

StreamForcingDeriv #

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

Differentiability and derivative size of the fresh-shell forcing #

The forcing of the two corrector problems e.def.w is streamForcing sigmaInv omega n m e = sigmaInv * (k_m - k_n) e (FreshShellL8). The nested-recentring display of OscillationNestedAssembly consumes a forcing G through exactly two properties:

This module supplies both at G = ± streamForcing, and converts the second one into the derivative gauges in which ABK26's e.W.1.inf.bound is stated.

Why differentiability is elementary here #

Since the passage from the matrix A to the real number sigmaInv * (A e)_i is a continuous linear map of A, the forcing coordinate is a finite sum of compositions of continuous linear maps with differentiable maps.

The gauge conversion, with every factor visible #

Two conversion factors meet here and neither is absorbed silently.

The net conversion is thus M = sigmaInv * sqrt d * |e|_2 * ∑_{k ∈ (n,m]} ‖∇j_k‖_{L∞(z + cu_ell)}, the last factor being the bare sum of local cube derivative gauges. Pricing that bare sum against the weighted summand 3^k ‖∇j_k‖_{L∞(cu_l)} + 3^{2k} ‖∇²j_k‖_{L∞(cu_l)} of e.W.1.inf.bound (Provider.Stream.largeCubeDerivGauge) costs a further factor 3^{-(n+1)}, the reciprocal of the smallest weight in the range; that step belongs to the consumer and is not taken here.

Contents #

References #

The coordinate functional of the forcing #

The map A ↦ sigmaInv * (A e)_i, which is linear in the matrix A.

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    The same map as a continuous linear functional. The bound used to manufacture continuity is the crude entrywise one; the sharp bound is proved separately in norm_fderiv_streamForcing_coord_le.

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      (1) Coordinatewise differentiability of the forcing #

      Coordinatewise differentiability of the fresh-shell forcing. Each coordinate of sigmaInv (k_m - k_n) e is differentiable on all of Vec d.

      The same for the negated forcing, which is the sign convention in which the CoarseGraining weak-solution predicates state - Delta w = div f.

      (2) The differential bound in the exact shell-derivative gauge #

      The pointwise differential bound. At every point, the differential of each coordinate of the forcing is bounded, in the ambient sup-operator norm, by sigmaInv times sqrt d times the Euclidean length of e times the exact induced norm of the summed shell derivatives. The factor sqrt d is the sup-to-Euclidean conversion on the input of the differential; the output conversion is free.

      The same bound for the negated forcing: negation does not change the size of a differential.

      The shell-derivative gauge on a translated cube #

      ‖∇(k_m - k_n)‖_{L∞(z + cu_ell)} in the exact induced gauge. On the translated cube z + cu_ell the derivative of a finite shell sum is dominated by the sum of the local cube derivative gauges of the translated shells, which is the carrier of ABK26's e.W.1.inf.bound at base point z.