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:
- the function side —
H1Function.untranslate z/H10Function.translate, with the Lebesgue change of variablessetIntegral_comp_addRight_translateSet. The translated frame's solution isx ↦ u(x + z)and its forcingx ↦ g(x + z). - the coefficient side —
Cutoff.coefficientCutoff_translateCutoffSample:a_L(·, translateCutoffSample z ω) = a_L(· + z, ω)exactly, as regular coefficient fields. So the translated frame's coefficient field is the cutoff coefficient of the translated sample; nothing is lost or approximated.
Main results #
isDivFormWeakSolutionOn_untranslate— the weak equation ontranslateSet z Ubecomes the weak equation onUfor the back-translated data.isOpen_translateSet_openCubeSet,translateSet_openCubeSet_subset_of_frontier_inter_empty— the anchor's window and its interior gate intranslateSetspelling.coefficientCutoff_comp_add_eq_translateCutoffSample— the coefficient side.isDivFormWeakSolutionOn_translateCutoffSample— the two combined: from the anchor's frame to the harmonic slot's frame in one step.
References #
- ABK26,
l.harmonic.approximation.good.scales, (the frame of the good event𝒢(n+2, z; s/8, 1/2)and of𝓔(z+□_{n+2})). - The translated-sample convention: a cube translate is realized by translating the sample, never the cube.
- CoarseGraining,
Homogenization/Sobolev/H1/Translation.lean,Homogenization/Geometry/Translation.lean(setIntegral_comp_addRight_translateSet). - Repo,
Algsuperdiff/Section3/Cutoff/Symmetry.lean(coefficientCutoff_translateCutoffSample).
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.