FiniteQPresplit #
Ported from scottnarmstrong/Superdiffusion at 7f20476385d4af418f110303085ad0740c9eba46. Module imports, support namespace and local option directives adapted for Lean Pool.
The conditional finite-q pre-split producer #
Its analytic input is pointwise and per depth: the normalized Chapter 4
descendant maximum is at most the deterministic profile Cprof * 3^(gamma n)
plus a nonnegative random remainder. The split is kept inside the defining
ell^(q/2) aggregate.
The total q/2-power summability needed by the aggregate comparison is proved
below from the two separate lanes. It is deliberately not an interface
hypothesis. The random lane is linearized only after the pre-split, and is
then summed with the countable Gamma_sigma triangle inequality.
A pointwise finite-q pre-split at every depth produces the lower
coarse-ellipticity two-slot payload. Summability of the combined profile is a
conclusion inside the proof, not a hypothesis of this theorem.
The finite-q pre-split interface, uniformly over the induction data,
discharges exactly the payloadTwoLe argument of
coarse_ellipticity_lower_payload_of_branchPayloads.
The constant gate 4 * Cprof <= Clow absorbs only the dimension-free factor
two from the pre-split and the factor two in the deterministic geometric
profile estimate.