High-contrast homogenization: Provider.Regularity.FiniteAffineGradientResidual #
Imported from the Apache-2.0 HighContrastHomogenization development at commit
7a13dbcd8d6609264a713373f5c69ceeac870472.
Finite affine gradient residuals #
This module realizes the difference between a finite cube solution and a finite affine-boundary solution as an actual harmonic solution on every smaller centered cube. It is the bridge from the gradient-excess definition to the finite Caccioppoli estimates.
The weighted gradient norm respects almost-everywhere equality on its integration set.
Subtracting two fields and their affine candidates costs at most the sum of the two candidate errors.
The harmonic residual u - w_m(e) on the centered cube Q_n.
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The residual has the literal value representative u - w_m(e).
The residual has the literal gradient representative ∇u - ∇w_m(e).
A gradient-excess candidate is exactly the ENNReal realization of the
cube energy of its harmonic residual.
The canonical excess is bounded by the energy of every harmonic affine residual.
The residual u - w_m(e) - w_m(p) realized as a harmonic solution on
Q_k. Both affine solutions retain the original outer scale m.
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- One or more equations did not get rendered due to their size.
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The updated residual has the literal value representative
u - w_m(e) - w_m(p).
The updated residual has gradient ∇u - ∇w_m(e) - ∇w_m(p).
Updating an outer affine residual is, in weighted gradient norm, the same as updating its outer boundary slope by addition.
Every updated outer residual gives a candidate upper bound for the original solution's gradient excess.
A pointwise contraction for every affine residual descends to the canonical infimum without assuming that the infimum is attained.