High-contrast homogenization: #
Provider.PolynomialHomogenization.Root.Corrector.C1WeightedCorrectorProjection
Imported from the Apache-2.0 HighContrastHomogenization development at commit
7a13dbcd8d6609264a713373f5c69ceeac870472.
Coefficient-weighted projection of a joint corrector onto a finite span #
On a fixed inner cube, finite affine-solution gradients form an injected finite-dimensional trial space once the scalar good tail is small. The coercive symmetric coefficient form therefore gives a canonical linear least-squares slope selector for the joint corrector family.
The finite affine trial gradient at scale m, viewed in the harmonic
Hilbert space on the local cube at scale q ≤ m.
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Instances For
The finite affine full-gradient trial map in the harmonic-gradient Hilbert space of the inner cube.
Equations
- HCPolySupport.HighContrast.Root.finiteTrialHarmonicGradientLinearMap a hqm = { toFun := HCPolySupport.HighContrast.Root.finiteTrialHarmonicGradient a hqm, map_add' := ⋯, map_smul' := ⋯ }
Instances For
The harmonic-space target map has the canonical joint affine-gradient representative on the inner cube.
The joint affine-plus-corrector full gradient, as a linear map into the same harmonic-gradient Hilbert space.
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The finite trial map is injective under the small-good-tail average-slope coercivity estimate.
The coefficient-weighted least-squares parameter map on the inner cube.
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- One or more equations did not get rendered due to their size.
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The selected residual minimizes the coefficient quadratic energy against every finite affine trial slope.