UpperFiniteQLtTwo #
Ported from scottnarmstrong/Superdiffusion at 7f20476385d4af418f110303085ad0740c9eba46. Module imports, support namespace and local option directives adapted for Lean Pool.
Finite upper coarse ellipticity below exponent two #
This module keeps the finite upper observable in its defining weighted
ell^(q / 2) aggregate when 1 <= q < 2. At that exponent the inner power
is concave, while the outer power is convex. Each random depth remainder is
therefore normalized by its own deterministic amplitude before countable
weak-Orlicz summation. In particular, no comparison between a finite carrier
and the q = infinity carrier is used.
The final theorem accepts an almost-everywhere per-depth split of the actual
Chapter 4 descendant maximum into a deterministic profile and two normalized
random lanes. It returns the everywhere-defined three-term witness consumed
by UpperLeg.lean; the null-set defect is absorbed inside the ordinary lane.
Canonical per-descendant choices preserve nonnegativity, measurability, both Orlicz estimates and domination, with zero values outside the descendant row.
The exact finite upper carrier #
The Chapter 4 finite upper ellipticity is its defining weighted
ell^(q / 2) aggregate, including the totalized non-elliptic branch.
Multiplication of the exported finite upper observable by a nonnegative scalar can be moved inside every depth before taking the outer root.
A normalized random lane #
A normalized family of nonnegative depth remainders produces one measurable weak-Orlicz lane. The returned summability clause is the exact input needed to combine several such lanes before taking the outer root.
The actual upper observable #
An almost-everywhere normalized per-depth split of the actual finite upper
carrier yields the everywhere three-term witness required by the upper leg.
The factor four is the uniform convexity loss for the three outer-root slots
when 1 <= q < 2.