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LeanPool.Superdiffusion.Algsuperdiff.Section4.Provider.ExcessDecay.TranslationTransport

TranslationTransport #

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

The A4 translation transport of the weak equation #

The frozen theorem's own datum lives at the untranslated sample ω on the window z + □_{n+2}. This module moves the weak equation between the two frames.

Two ingredients, both exact:

Main results #

References #

1. The weak equation untranslates #

The divergence-form weak equation in the back-translated frame.

If -∇·a∇u = ∇·g weakly on U + z, then -∇·ã∇u_tilde = ∇·g weakly on U, where every datum is precomposed with x ↦ x + z. Exact: the change of variables is measure preserving and the H¹₀ test functions correspond bijectively.

2. The window in translateSet spelling #

The frozen theorem's translated window, written as CoarseGraining's translateSet, is open.

3. The coefficient side #

The cutoff coefficient of the translated sample is the translated cutoff coefficient, as raw coefficient fields. This is what makes the translated frame's coefficient field the manuscript's own a_L at translateCutoffSample z ω rather than an approximation.

4. The two frames, combined #

From the anchor's frame to the harmonic slot's frame.

The anchor's equation -∇·a_L(·,ω)∇u = ∇·g on the window z + S becomes, on S itself, the equation for the cutoff coefficient at the translated sample translateCutoffSample z ω, with solution u(· + z) and forcing g(· + z). This is the A4 transport of the equation leg.