Abstract

In this paper, the extremal problem, min{( ΦK) :o ∈ ΦK Φ L, Φ ∈ GL(n)} , of two convex bodies K and L in is considered. For K to be in extremal position in terms of a decomposition of the identity, give necessary conditions together with the optimization theorem of John. Besides, we also consider the weaker optimization problem: min{((ΦK))p : ΦK Φ B2n, ΦK ∩ Sn-1 ≠ Φ, Φ ∈ GL(n)} . As an application, we give the geometric distance between the unit ball B2n and a centrally symmetric convex body K.

Highlights

  • IntroductionNotice that the study of the classical John theorem went back to John [2]

  • Let γ n be the classical Gaussian probability measure with density ( )n − | x|2 e2, and|| ⋅ ||K is the Minkowski functional of a convex body K ⊂ nAn important quantity on local theory of Banach space is the associated l-norm: l(K ) = ∫ n || x ||K dγ n (x).The minimum of the functional

  • For K to be in extremal position in terms of a decomposition of the identity, give necessary conditions together with the optimization theorem of John

Read more

Summary

Introduction

Notice that the study of the classical John theorem went back to John [2] It states that each convex body K contains a unique ellipsoid of maximal volume, and when B2n is the maximal ellipsoid in K, it can be characterized by points of contact between the boundary of K and that of B2n. It was provided in [5] that a generalization of John’s theorem for the maximal volume position of two arbitrary smooth convex bodies. For p ≥ 1 , denote lp -norm by ( ) ∫ lp (K ) = n || x ||Kp dγ n (x) p

Notation and Preliminaries
Proof of Main Results
Estimate of the Distance
Full Text
Paper version not known

Talk to us

Join us for a 30 min session where you can share your feedback and ask us any queries you have

Schedule a call

Disclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.