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LeanPool.KahnKalai

Kahn–Kalai expectation-threshold theorem #

Source: arxiv:2303.02144, doi:10.37236/12266, url:https://github.com/dcposch/kahn-kalai-lean Authors: Dan Clemens Posch Status: verified Main declarations: KahnKalai.covering_theorem, KahnKalai.park_pham Tags: probabilistic-combinatorics, random-structures, threshold-phenomena, set-systems MSC: 05C80, 60C05

theorem KahnKalai.covering_theorem {α : Type u_1} [DecidableEq α] [Fintype α] (H : Finset (Finset α)) ( : ) (p : ) (hℓ : Fintype.card α) (hp0 : 0 p) (hp1 : p 1) (hb : IsBounded H ) (hf : 1 / 2 - 1 / 2 ^ ( + 2) coverCost p H) :
(2 / 3 + 1 / 2 ^ ( + 2)) * ((Fintype.card α).choose (coveringLevel p (Fintype.card α) )) {Sgenerate H | S.card = coveringLevel p (Fintype.card α) }.card

Tran–Vu, Theorem 2.3. If is at most the ground-set cardinality, p ∈ [0, 1], H is -bounded, and f(H) ≥ 1/2 - 2^{-(ℓ+2)}, then the cardinality of ⟨H⟩ at the selected level m_ℓ is at least (2/3 + 2^{-(ℓ+2)}) * choose(N, m_ℓ). When m_ℓ ≤ N, this is the corresponding level-density bound; when N < m_ℓ, both cardinalities vanish.

theorem KahnKalai.park_pham :
∃ (K : ), 0 < K ∀ {α : Type} [inst : DecidableEq α] [inst_1 : Fintype α] (F : Finset (Finset α)) ( : ), 2 IsBounded F threshold F K * expectationThreshold F * Real.logb 2

Park–Pham / Kahn–Kalai (Tran–Vu, Theorem 1.1). There is an absolute constant K such that every -bounded family with ℓ ≥ 2 satisfies p_c(F) ≤ K q(F) log₂ ℓ.