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LeanPool.HighContrastHomogenization.Provider.PolynomialHomogenization.Root.Corrector.C1WeightedCorrectorProjection

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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    The finite affine full-gradient trial map in the harmonic-gradient Hilbert space of the inner cube.

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      The joint affine-plus-corrector full gradient, as a linear map into the same harmonic-gradient Hilbert space.

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        theorem HCPolySupport.HighContrast.Root.finiteTrialHarmonicGradientLinearMap_injective {d : ℕ} [NeZero d] (a : Book.Ch02.TriadicCoeffFamily d) (s delta c : ℝ) (n0 : ℤ) (hdelta : delta ∈ Set.Ioc 0 c) (hgood : ScalarIdentityGoodTail a s delta n0) (hcoercive : ∀ (a : Book.Ch02.TriadicCoeffFamily d) (delta : ℝ) (n : ℤ), delta ∈ Set.Ioc 0 c → ScalarIdentityGoodTail a s delta n → ∀ (q t : ℕ), n ≤ ↑q → ∀ (e : Vec d), euclideanNorm e ≤ 2 * euclideanNorm (cubeAverageVec (originCube d ↑q) (finiteAffineSolution a (↑(q + t + 2)) e).toH1.grad)) (q m : ℕ) (hnq : n0 ≤ ↑q) (hqm2 : q + 2 ≤ m) :

        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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          The selected residual minimizes the coefficient quadratic energy against every finite affine trial slope.