High-contrast homogenization: Provider.Response.ProfileMaximumBadLp #
Imported from the Apache-2.0 HighContrastHomogenization development at commit
7a13dbcd8d6609264a713373f5c69ceeac870472.
The maximal bad event in L² #
Only a Q-moment of the complete maximum is used. Hölder at exponents
Q / 2 and Q / (Q - 2) separates its L² restriction from the probability
of the bad event; no higher moment or independence assumption enters.
Restricting an extended-real random variable to {M > 1} costs its
L^Q norm times the probability of that event to the Hölder exponent.
The pathwise comparison M ≤ W + beta and the Q-moment of W give the
small-drift probability bound for the event {M > 1}.
The complete-maximum comparison gives exactly the correlated bad-event majorant used by the profile response estimate.
Companion of eLpNorm_indicator_gt_one_le_mul_measure. Restricting to
{lam < M} costs the L^Q norm times the probability to the Hölder exponent —
at every level, the fixed level playing no role in the argument.
Companion 2: the small-drift probability bound, at a released level #
Companion of measure_gt_one_le_of_complete_maximum. The deterministic
part beta need only sit below the split level, not below 1.
Companion 3: the bad-event majorant, at a released level #
Companion of eLpNorm_indicator_gt_one_le_profileBadMajorant. The
complete-maximum comparison at a released split level.