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Stability Inequalities for Projections of Convex Bodies

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Abstract

The projection function \(P_K\) of an origin-symmetric convex body K in \({{\mathbb {R}}}^n\) is defined by \(P_K(\xi )=|K\vert {\xi ^\bot }|,\ \xi \in S^{n-1},\) where \(K\vert {\xi ^\bot }\) is the projection of K to the central hyperplane \(\xi ^\bot \) perpendicular to \(\xi \), and |K| stands for volume of proper dimension. We prove several stability and separation results for the projection function. For example, if D is a projection body in \({{\mathbb {R}}}^n\) which is in isotropic position up to a dilation, and K is any origin-symmetric convex body in \({{\mathbb {R}}}^n\) such that that there exists \(\xi \in S^{n-1}\) with \(P_K(\xi )>P_D(\xi ),\) then

$$\begin{aligned} \max _{\xi \in S^{n-1}} (P_K(\xi )-P_D(\xi )) \ge \frac{c}{\log ^2n} \big (|K|^{\frac{n-1}{n}} -|D|^{\frac{n-1}{n}}\big ), \end{aligned}$$

where c is an absolute constant. As a consequence, we prove a hyperplane inequality

$$\begin{aligned} S(D) \le \ C \log ^2n \max _{\xi \in S^{n-1}} S(D\vert \xi ^\bot )\ |D|^{\frac{1}{n}}, \end{aligned}$$

where D is a projection body in isotropic position, up to a dilation, S(D) is the surface area of \(D,S(D\vert \xi ^\bot )\) is the surface area of the body \(D\vert \xi ^\bot \) in \({{\mathbb {R}}}^{n-1},\) and C is an absolute constant. The proofs are based on the Fourier analytic approach to projections developed in [12].

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Acknowledgements

I wish to thank the US National Science Foundation for support through Grant DMS-1265155. Part of the work was done during my stay at the Max Planck Institute for Mathematics in Bonn in Spring 2015.

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Correspondence to Alexander Koldobsky.

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Koldobsky, A. Stability Inequalities for Projections of Convex Bodies. Discrete Comput Geom 57, 152–163 (2017). https://doi.org/10.1007/s00454-016-9844-9

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