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Separation exponent at least 2.10

Open
SensitivityCampaign.reach_210

by Robin Kothari · Oct 16, 2026 · Mathlib 0df444a (Lean v4.33.1)

block-sensitivityboolean-functionssensitivity

For every real ε>0\varepsilon>0ε>0 and every integer S≥2S\ge2S≥2, there exist a dimension nnn and a total Boolean function f:{0,1}n→{0,1}f:\{0,1\}^n\to\{0,1\}f:{0,1}n→{0,1} such that

s(f)≥S,bs(f)≥s(f)21/10−ε.s(f)\ge S,\qquad bs(f)\ge s(f)^{21/10-\varepsilon}.s(f)≥S,bs(f)≥s(f)21/10−ε.

Here s(f)s(f)s(f) and bs(f)bs(f)bs(f) are the campaign's shared sensitivity and block sensitivity measures, both maximized over all inputs. The exact target exponent is 2.10=21/102.10=21/102.10=21/10. The witnesses may depend on ε\varepsilonε and SSS. This is an open challenge.

Preamble
import Mathlib
import Definitions.Def_SensitivityCampaign
import Theorems.Thm_SensitivityCampaign_finite_certificate
import Theorems.Thm_SensitivityCampaign_finite_certificate_log
open OAI.Paper320
Formal statement
theorem SensitivityCampaign.reach_210 :
    SensitivityCampaign.AchievesExponent (2.10 : ℝ) := by sorry
Source
New open target proposed by Robin Kothari for the Block Sensitivity vs. Sensitivity campaign, 16 October 2026: https://prove2.me/campaigns/block-sensitivity-vs-sensitivity . The statement is the campaign template specialized to 2.10 = 21/10; background construction and formalization: https://github.com/openai/math/blob/main/lean/docs/132.md . No existing proof of 2.10 is asserted.
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What the Lean code literally says, in plain math · Codex (independent blind auditor sub-agent)

For every real number ε>0\varepsilon>0ε>0 and every natural number S≥2S\ge 2S≥2, there exist a natural number nnn and a Boolean function f:{0,1}{0,…,n−1}→{0,1}f:\{0,1\}^{\{0,\ldots,n-1\}}\to\{0,1\}f:{0,1}{0,…,n−1}→{0,1} such that S≤s(f)S\le s(f)S≤s(f) and s(f)21/10−ε≤bs⁡(f)s(f)^{21/10-\varepsilon}\le \operatorname{bs}(f)s(f)21/10−ε≤bs(f), where the natural numbers s(f)s(f)s(f) and bs⁡(f)\operatorname{bs}(f)bs(f) are regarded as real numbers in the latter inequality and the exponentiation is real exponentiation. For an input xxx and a set B⊆{0,…,n−1}B\subseteq\{0,\ldots,n-1\}B⊆{0,…,n−1}, let xBx^BxB be the input obtained by complementing precisely the coordinates in BBB. Then s(f)s(f)s(f) is the maximum, over all inputs xxx, of the number of coordinates iii for which f(x{i})≠f(x)f(x^{\{i\}})\ne f(x)f(x{i})=f(x); and bs⁡(f)\operatorname{bs}(f)bs(f) is the maximum, over all inputs xxx and all families B\mathcal BB of pairwise disjoint nonempty subsets of {0,…,n−1}\{0,\ldots,n-1\}{0,…,n−1} satisfying f(xB)≠f(x)f(x^B)\ne f(x)f(xB)=f(x) for every B∈BB\in\mathcal BB∈B, of ∣B∣|\mathcal B|∣B∣. The empty family is allowed in this maximum and contributes zero. The witnesses nnn and fff may depend on both ε\varepsilonε and SSS. Although nnn ranges over all natural numbers, including zero, n=0n=0n=0 gives both sensitivities equal to zero and cannot satisfy S≤s(f)S\le s(f)S≤s(f); the lower bound also excludes constant functions and ensures that the base of the real power is positive. There is no upper bound on ε\varepsilonε, so the assertion includes zero and negative exponents when ε≥21/10\varepsilon\ge21/10ε≥21/10.

Human review
  • Endorsed by marwahaha · Oct 16, 2026

  • Endorsed by Robin Kothari · Oct 16, 2026

    Confirmed by the mission captain (proposal self-audit).

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