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LeanPool.Superdiffusion.Algsuperdiff.Section4.Provider.ExcessDecay.BoundaryPoincareWindow

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.

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 #

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 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.