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LeanPool.Superdiffusion.Algsuperdiff.Section4.Provider.ExcessDecay.EquationRestrictionZeroExtension

EquationRestrictionZeroExtension #

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

Zero extension of an H¹₀ test function to a superset #

The Support-grade primitive needed to restrict a divergence-form weak equation from a set W to a subset V: every H¹₀(V) test function is, after extension by zero, an H¹₀(W) test function with gradient the zero extension of the original gradient.

CoarseGraining proves exactly this (H10Function.extendByZeroToOpenSuperset in Homogenization/Sobolev/W1p/ZeroExtensionGraph.lean) but through the finite-exponent graph closure of Homogenization/Sobolev/W1p/WeakGradientClosure, neither of which is available in this repository's pinned upstream build tree (no .olean; recompiling upstream is forbidden). The construction is therefore re-derived here at the single exponent p = 2 that the §4.3 leg needs, on the built L² closure HasWeakGradientOn.of_tendsto_eLpNorm_two (Homogenization/Sobolev/Truncation/WeakGradientLimit.lean).

Why the extension is a theorem and not bookkeeping #

The zero extension of an H¹(V) function need not have a weak gradient across ∂V; it does exactly because an H¹₀(V) function carries an approximating sequence of smooth functions with compact support inside V. Each approximant is a legitimate global test function, its classical integration by parts is valid on all of W, and both sides are L²-continuous, so the identity survives the limit. That is the content below.

Deviation from CoarseGraining's version (weaker hypotheses) #

CoarseGraining's extendByZeroToOpenSuperset asks for IsOpen W; the version here does not (openness of W is only used by CoarseGraining's route through the whole-space graph and its subsequent restriction). MeasurableSet V and V ⊆ W suffice.

References #

1. The zero extensions #

The literal zero extension of the value of an H¹₀ function.

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    The literal zero extension of the gradient of an H¹₀ function.

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      2. The four indicator identities of the approximating sequence #

      3. L² control of the extensions #

      4. The weak gradient of the zero extension #

      The zero extension of an H¹₀ pair is a weak-gradient pair on any superset. The L²-limit closure applied to the H¹₀ approximants, each of which is smooth with compact support inside V ⊆ W.

      5. The extension as an H¹₀ function of the superset #

      Every H¹₀(V) function is an H¹₀(W) function for V ⊆ W, by literal zero extension of both value and gradient. Re-derivation at p = 2 of CoarseGraining's H10Function.extendByZeroToOpenSuperset, without the IsOpen W hypothesis.

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