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LeanPool.Superdiffusion.Algsuperdiff.StochasticProcess.Common.DivergenceForm.Decay.LocalizedInteriorSkew

LocalizedInteriorSkew #

Ported from scottnarmstrong/Superdiffusion at 7f20476385d4af418f110303085ad0740c9eba46. Module imports, support namespace and local option directives adapted for Lean Pool.

The local antisymmetric identity for bounded H¹ functions #

This file upgrades the antisymmetric transfer to the bounded H¹ carrier needed by an interior localization. No trace condition is imposed on the function: every test is compactly supported in the domain.

The clipped derivative used to form a square with bounded slope.

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    The primitive of the clipped square slope, normalized to vanish at zero.

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      theorem DivergenceFormProcess.Decay.boundedSquare_eq_sq {M t : ℝ} (hM : 0 ≤ M) (ht : |t| ≤ M) :
      boundedSquare M t = t ^ 2

      The H¹ composition with the bounded-slope square function.

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        For a bounded H¹ function and a smooth multiplier supported in the domain, a C¹ skew field contributes only through its divergence. The compactly supported multiplier removes the boundary term, so the function itself need not have zero trace.