The square-root stability conjecture for Brunn–Minkowski

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Let n∈Nn\in\mathbb{N} with n≥2n\geq 2, let t∈(0,1/2)t\in(0,1/2), and let A,B⊂RnA,B\subset\mathbb{R}^n be measurable sets of equal measure satisfying

∣tA+(1−t)B∣≤(1+δ)∣A∣,|tA+(1-t)B|\leq(1+\delta)|A|,

where δ<dn,t\delta<d_{n,t}. Square-root stability conjecture. There exist constants cn,dn,t>0c_n,d_{n,t}>0 and a convex set KK such that, up to translation, K⊃A,BK\supset A,B and

∣K∖A∣=∣K∖B∣≤cnt−1/2δ1/2∣A∣.|K\setminus A|=|K\setminus B|\leq c_nt^{-1/2}\delta^{1/2}|A|.

This conjecture quantifies the expected square-root stability of the Brunn–Minkowski inequality: near equality should force both sets to be close to a common convex set. The source presents it as a major folklore conjecture; its resolution status is not specified.

References

Primary source

Alessio Figalli, Peter van Hintum and Marius Tiba, “Sharp quantitative stability of the Brunn-Minkowski inequality”, arXiv:2310.20643 (2023).

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