Bilinear standard simplex conjecture for positive correlation

Let m3m\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 m1n+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 wRn+1w\in\mathbb{R}^{n+1} such that, for every ii,

Ωi=Ωi=w+{xRn+1:x,zi=max1jmx,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.

Sources & referencesView supporting material

Primary source

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

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