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LeanPool.HighContrastHomogenization.Support.Sobolev.Foundations.CubePoisson.DualTestNorm

Coarse-graining support: Support.Sobolev.Foundations.CubePoisson.DualTestNorm #

Imported from the Apache-2.0 CoarseGraining development at commit c7ddd76c08ade64fed1b8d2ca51be14dfee8deb4.

Positive dual test-norm estimates for Poisson gradients #

The endpoint inputs that the full-dual Besov pairing proof actually uses: each component of the Poisson gradient admits a positive uniform bound for all finite-depth dual test norms. The L²-facing wrapper combines this with the Calderon-Zygmund estimate, and the core wrapper packages the epsilon-free clean componentwise estimate into the positive B-bundle used downstream.

Positive-test-norm control for Poisson gradients.

This is the endpoint input that the full-dual Besov pairing proof actually uses: each component of the Poisson gradient admits a positive uniform bound for all finite-depth dual test norms, and the sum of those bounds is controlled by the B¹_{2,∞} circ norm of the Poisson gradient up to an arbitrary epsilon. The epsilon slack keeps the zero-gradient case available while still implying the exact endpoint duality bound by a limiting argument.

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    L²-facing positive-test-norm control for Poisson gradients.

    This is the form obtained after composing the positive-test/circ estimate with the Neumann Calderon-Zygmund estimate. It is closer to the elliptic regularity statement that remains to be proved: the admissible positive Besov test bounds for ∇W are controlled directly by the normalized L² norm of the right-hand side.

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      Core direct L² positive-test bound for Poisson gradients.

      This is the epsilon-free form one expects from Neumann W^{2,2}/CZ plus local Poincare: each component of ∇W has all finite positive dual test norms bounded by the same multiple of ‖F‖_{L²(Q)}. The theorem below turns this clean componentwise estimate into the positive B-package used by the endpoint duality wrapper.

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