Bilinear standard simplex conjecture for positive correlation

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Let m≥3m\geq3, let 0<ρ<10<\rho<1, and let (Ωi)i=1m(\Omega_i)_{i=1}^m and (Ωi′)i=1m(\Omega_i')_{i=1}^m minimize the bilinear Gaussian noise-stability problem with equal prescribed measures, under the condition m−1≤n+1m-1\leq n+1. Let z1,…,zmz_1,\ldots,z_m be the vertices of a regular simplex in Rn+1\mathbb{R}^{n+1} centered at the origin. Bilinear standard simplex conjecture. There exists w∈Rn+1w\in\mathbb{R}^{n+1} such that, for every ii,

Ωi=−Ωi′=w+{x∈Rn+1:⟨x,zi⟩=max⁡1≤j≤m⟨x,zj⟩}.\Omega_i=-\Omega_i'=w+\{x\in\mathbb{R}^{n+1}:\langle x,z_i\rangle=\max_{1\leq j\leq m}\langle x,z_j\rangle\}.

This bilinear positive-correlation formulation is introduced to study the negative-correlation case, where plurality is expected to minimize noise stability. The supplied context does not state a resolution.

References

Primary source

Steven Heilman and Alex Tarter, “Three Candidate Plurality is Stablest for Small Correlations”, arXiv:2011.05583 (2021).

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