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LeanPool.HighContrastHomogenization.Support.Sobolev.Foundations.CubeCalderonZygmund.ScalarPoissonGradientBelowTwo

Coarse-graining support: #

Support.Sobolev.Foundations.CubeCalderonZygmund.ScalarPoissonGradientBelowTwo

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

Scalar Poisson gradient estimates below the energy exponent #

This file proves the centered-cube L^q gradient estimate for a zero-trace solution of the scalar Poisson equation when 1 < q < 2. The proof uses self-adjoint duality against the already-established divergence-form Calderón--Zygmund estimate at the conjugate exponent.

Both functions in the mutual-testing step belong to H¹₀; no boundary trace of a gradient coordinate is asserted or used.

The normalized pullback of an H¹₀ function from a centered cube to the centered unit cube. Its gradient is the unscaled physical gradient.

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    Package radial truncation at level n of a zero-trace solution gradient as a cube field with Euclidean L² and L^{q.conjugate} membership.

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    • One or more equations did not get rendered due to their size.
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      Below the energy exponent, a supplied zero-trace solution of the scalar Poisson equation on a centered cube has the scale-correct normalized L^q gradient bound. The source is represented directly by a scalar field with separate normalized L² and L^q membership.