2021
DOI: 10.48550/arxiv.2104.08740
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On the $Φ$-Stability and Related Conjectures

Abstract: Let X be a random variable uniformly distributed on the discrete cube {−1, 1}n , and let T ρ be the noise operator acting on Boolean functions f : {−1, 1} n → {0, 1}, where ρ ∈ [0, 1] is the noise parameter, representing the correlation coefficient between each coordination of X and its noise-corrupted version. Given a convex function Φ and the mean Ef (X) = a ∈ [0, 1], which Boolean function f maximizes the Φ-stability E [Φ (T ρ f (X))] of f ? Special cases of this problem include the (symmetric and asymmetri… Show more

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Cited by 1 publication
(3 citation statements)
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References 27 publications
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“…Using Fourier analysis and optimization theory, the first author of this monograph [191] provided an explicit threshold for Theorem 9.4.1. Specifically, he showed that (9.45) holds for any n and any ρ ∈ (0, ρ 1 ], where ρ 1 be the solution in (0, 1) to the equation…”
Section: The Balanced Casementioning
confidence: 99%
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“…Using Fourier analysis and optimization theory, the first author of this monograph [191] provided an explicit threshold for Theorem 9.4.1. Specifically, he showed that (9.45) holds for any n and any ρ ∈ (0, ρ 1 ], where ρ 1 be the solution in (0, 1) to the equation…”
Section: The Balanced Casementioning
confidence: 99%
“…Since the Li-Médard conjecture was only recently posed (at the time of writing), there is less progress on it compared to the Courtade-Kumar conjecture. Hence, we do not elaborate on it apart from mentioning some partial progress by Yu [191] for a certain set of (q, ρ).…”
Section: The Balanced Casementioning
confidence: 99%
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