Maximum #
Ported from scottnarmstrong/Superdiffusion at 7f20476385d4af418f110303085ad0740c9eba46. Module imports, support namespace and local option directives adapted for Lean Pool.
Maxima of stretched-exponential random variables over any nonempty family #
CoarseGraining's finite-maximum estimate
Homogenization.IndependentSums.isBigOWith_gammaSigma_finset_sup' carries the
hypothesis 2 ≤ s.card, matching the source proof, which uses 2 log N ≥ 1.
The ABK26 call sites also instantiate the estimate at singletons, where log 1 = 0 degenerates the amplitude.
This module removes the cardinality restriction by replacing log N with
max 1 (log N). For 2 ≤ N this only enlarges the amplitude, and for N = 1
the supremum is a single member of the family and the amplitude factor is
3^{1/σ} ≥ 1. Both cases then follow by amplitude monotonicity,
Homogenization.IndependentSums.IsBigOWith.mono_scale.
Main results #
Algsuperdiff.Section3.Provider.Orlicz.isBigOWith_gammaSigma_finset_sup'_of_nonemptyAlgsuperdiff.Section3.Provider.Orlicz.isBigOWith_gammaSigma_finset_sup'_of_scales_of_nonempty
References #
- ABK26, Lemma
l.maximums.Gamma.s. - ABK26, Appendix.
Maximum of a nonempty finite family of Γ_σ random variables at a common
scale A, with no restriction on the cardinality.
The amplitude uses max 1 (log card) rather than the source's log card;
the two agree up to an enlargement for 2 ≤ card, and the max is what makes
the singleton case nondegenerate.
Maximum of a nonempty finite family of Γ_σ random variables with
individual scales, controlled by the largest scale.