Symmetric convex-subset conjecture for log-concave isoperimetric sets

Let 0<α<10<\alpha<1, let μ=w(x)dx\mu=w(x)dx be a strictly log-concave probability measure supported on all of Rn\mathbb{R}^n, with centrally symmetric density w(x)=w(x)w(-x)=w(x), and let EE be an isoperimetric subset with μ(E)=α\mu(E)=\alpha. Symmetric convex-subset conjecture. There is b=b(α)>0b=b(\alpha)>0 and a convex set Γ\Gamma such that

μ(Γ)b(α),ΓE,ΓEc=RnE.\mu(\Gamma)\ge b(\alpha),\qquad \Gamma\subset E,\qquad -\Gamma\subset E^c=\mathbb{R}^n\setminus E.

This is a symmetry-breaking variant of the convex-sandwich conjecture for general volume fractions and centrally symmetric densities.

Sources & referencesView supporting material

Primary source

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

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