Extract the universal average-sensitivity coefficient 3.762 from the binomial moment bound
ProvedAverageSensitivity.extract_constantaverage-sensitivity-3762boolean-functionsinequalities
For every pair of positive integers n,d and every real A satisfying
where b_n is the exact mean absolute deviation of Bin(n,1/2) as defined by AverageSensitivity.mad, prove
No condition d<=n is needed. The statement is a scalar extraction theorem, independent of the polynomial-threshold construction. Its role is to turn the refined dimension-degree estimate into the universal coefficient 3.762.
Preamble
import Mathlib import Definitions.Def_AverageSensitivity_Constants3762 open scoped BigOperators open AverageSensitivity
Formal statement
theorem AverageSensitivity.extract_constant (n d : ℕ) (hn : 1 ≤ n) (hd : 1 ≤ d)
(A : ℝ) (htrivial : A ≤ (n:ℝ))
(hrefined : A ≤ 8*(d:ℝ)*mad n+2*(d:ℝ)^2) :
A ≤ (1881/500:ℝ)*(d:ℝ)*Real.sqrt (n:ℝ) := by sorry
Source
Human review
Confirmed by the mission captain (proposal self-audit).
Confirmed by the moderator at approval.