Convex sandwich conjecture for isoperimetric sets of strictly log-concave measures

Let μ\mu be a finite, strictly log-concave measure on Rn\mathbb{R}^n, and let EE be an isoperimetric set with volume fraction 0<α<1/20<\alpha<1/2. Convex sandwich conjecture. There are convex sets G1G_1 and G2G_2 such that G1EG2G_1\subset E\subset G_2 and

μ(G1)c(α,n)μ(Rn),μ(G2)(1c(α,n))μ(Rn),\mu(G_1)\ge c(\alpha,n)\mu(\mathbb{R}^n),\qquad \mu(G_2)\le(1-c(\alpha,n))\mu(\mathbb{R}^n),

where c(α,n)>0c(\alpha,n)>0 can be chosen independently of nn. This is the strictly log-concave analogue of the convex-hull formulation and aims to establish quantitative convexity on both sides of the interface.

Sources & referencesView supporting material

Primary source

David Jerison, “The Two Hyperplane Conjecture”, arXiv:1809.10759 (2019).

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