UpperPolyProfile #
Ported from scottnarmstrong/Superdiffusion at 7f20476385d4af418f110303085ad0740c9eba46. Module imports, support namespace and local option directives adapted for Lean Pool.
The polynomial finite-q upper profile #
This module isolates the deterministic depth arithmetic in the upper half of ABK26. After the grid maximum, the ordinary lane has the profile
A * (n + 1)^2 * 3^(gamma n).
For every finite exponent q >= 2, its defining weighted ell^(q/2)
aggregate is bounded by a dimension-free multiple of
A * s * (2s - gamma)^(-3).
The proof keeps the ell^(q/2) aggregate intact. In particular it does not
use the false uniform estimate gridSumConst s q <= C * s at large q.
Instead, half of the collar pays the quadratic polynomial, after which the
already-proved exact geometric-profile estimate applies with gap (2s - gamma) / 2.
This is only model-free profile arithmetic. It does not manufacture the
per-depth random variables or a joint Gamma_1 certificate for their
ell^(q/2) aggregate.
Source and provenance #
- ABK26, especially the ordinary profile and its cubic pole.
The quadratic-times-geometric profile produced by the ordinary upper per-depth estimate after the grid maximum.
Equations
Instances For
Half of a positive collar absorbs the quadratic depth factor. The constant is deliberately coarse and dimension-free.
The quadratic upper profile is pointwise dominated by a pure geometric profile after spending half of the positive gap.
The source's quadratic ordinary profile has the printed cubic pole at
every finite exponent q >= 2.