combinatorics / Probabilistic combinatorics; Bernoulli product measures and covers

Talagrand's discrete convexity conjecture

Theorem 1.1: with k=275k=2^{75}, for every N≥1N\ge1, p∈(0,1)p\in(0,1) and D⊆2[N]\mathcal D\subseteq2^{[N]}, μp(D)≥1−1/k\mu_p(\mathcal D)\ge1-1/k implies Ek(D)E_k(\mathcal D) is pp-small. Consequences: a containment cover for large values of positive selector processes (recovering Park-Pham's theorem), and with Li's fractional result and the companion rounding theorem, E2(D)E_2(\mathcal D) is (p/C)(p/C)-small when μp(D)>1/2\mu_p(\mathcal D)>1/2. Earlier, Hua-Song-Tudose derived a discrete statement with three unions at density pCp^C and Park one with two unions at a log⁡log⁡(1/p)\log\log(1/p) loss. The constant kk is far from optimal and the Gaussian convexity question is a different problem.

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combinatoricsSep 23, 2026Significance 36/100Registry: lean checked

Talagrand's discrete convexity conjecture

Prior state unknown→proved

Theorem 1.1: with k=275k=2^{75}, for every N≥1N\ge1, p∈(0,1)p\in(0,1) and D⊆2[N]\mathcal D\subseteq2^{[N]}, μp(D)≥1−1/k\mu_p(\mathcal D)\ge1-1/k implies Ek(D)E_k(\mathcal D) is pp-small. Consequences: a containment cover for large values of positive selector processes (recovering Park-Pham's theorem), and with Li's fractional result and the companion rounding theorem, E2(D)E_2(\mathcal D) is (p/C)(p/C)-small when μp(D)>1/2\mu_p(\mathcal D)>1/2. Earlier…

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Theorem 1.1: with k=275k=2^{75}, for every N≥1N\ge1, p∈(0,1)p\in(0,1) and D⊆2[N]\mathcal D\subseteq2^{[N]}, μp(D)≥1−1/k\mu_p(\mathcal D)\ge1-1/k implies Ek(D)E_k(\mathcal D) is pp-small. Consequences: a containment cover for large values of positive selector processes (recovering Park-Pham's theorem), and with Li's fractional result and the companion rounding theorem, E2(D)E_2(\mathcal D) is (p/C)(p/C)-small when μp(D)>1/2\mu_p(\mathcal D)>1/2. Earlier, Hua-Song-Tudose derived a discrete statement with three unions at density pCp^C and Park one with two unions at a log⁡log⁡(1/p)\log\log(1/p) loss. The constant kk is far from optimal and the Gaussian convexity question is a different problem.

Theorem 1.1: with k=275k=2^{75}, for every N≥1N\ge1, p∈(0,1)p\in(0,1) and D⊆2[N]\mathcal D\subseteq2^{[N]}, μp(D)≥1−1/k\mu_p(\mathcal D)\ge1-1/k implies Ek(D)E_k(\mathcal D) is pp-small. Consequences: a containment cover for large values of positive selector processes (recovering Park-Pham's theorem), and with Li's fractional result and the companion rounding theorem, E2(D)E_2(\mathcal D) is (p/C)(p/C)-small when μp(D)>1/2\mu_p(\mathcal D)>1/2. Earlier, Hua-Song-Tudose derived a discrete statement with three unions at density pCp^C and Park one with two unions at a log⁡log⁡(1/p)\log\log(1/p) loss. The constant kk is far from optimal and the Gaussian convexity question is a different problem.

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