BoundaryPoincareWindow #
Ported from scottnarmstrong/Superdiffusion at 7f20476385d4af418f110303085ad0740c9eba46. Module imports, support namespace and local option directives adapted for Lean Pool.
The boundary-Poincaré opener: the covering cube inside the anchor window #
The general clause's right-hand-side windows are the enlarged ones, W' = (z+□_{n+3}) ∩ □_m rather than W = (z+□_{n+2}) ∩ □_m, precisely so that the
boundary covering cube c + □_{n+2}, c = wellPlacedCentre x m (n+2), fits inside
the window whose norms the anchor prices. This module proves that fit and the
two transports it immediately supplies — the geometric half of the funded unit.
image_add_wellPlacedCentre_subset_anchorWindow— the fit:c + □_{n+2} ⊆ W'. It combines the two halves ofCoveringSlotObstruction(the covering cube is insidez + □_{n+3}) andBoundaryCoveringGeometry(it is inside□_m).volume_anchorWindow_le_coveringCube— the covering ratio|W'| ≤ 9^d |c+□_{n+2}|(the true ratio is3^d; the perfect square is taken so that theL²constant is the integer power3^d).eLpNorm_coveringCube_le_anchorWindow— theL²transport: a normalizedL²norm over the covering cube is at most3^dtimes the one over the anchor's own window. This is the step that will move the boundary Caccioppoli's left-hand side into the frozen statement's carrier.localizedZeroTraceFunctionOn_anchorWindow— the zero-trace localization ontoW': a globalH¹₀(□_m)datum has the localized zero trace onW'through the windowz + □_{n+3}, because(z+□_{n+3}) ∩ □_misW'.
What is not done here #
No Poincaré inequality is proved. The trace-measure lower bound,
CoarseGraining's coarsePoincare and the Stampacchia machinery are the
analytic half and are untouched; nothing below asserts
any estimate on u - v, and nothing below is an instance, or a fraction, of
any source node.
The fit proved here is a fit of windows, not of events.
References #
- ABK26,
l.harmonic.approximation.good.scales; the boundary application ofl.coarse.grained.Caccioppoli.
1. The fit #
The boundary covering cube sits inside the anchor's window.
This is what the window enlargement buys: with the printed n+2 window the
covering cube provably does not fit (CoveringSlotObstruction), with the frozen
n+3 window it always does.
2. The covering ratio and the L² transport #
The anchor's window is at most 9^d times the covering cube in volume
(the true ratio is 3^d).
Normalized L² transport assuming containment of the covering cube in the window.
The L² transport onto the anchor's window.
A normalized L² norm over the boundary covering cube is at most 3^d times the
one over the anchor's own window W' = (z+□_{n+3}) ∩ □_m.