The quotient girth of normed spaces, and an extension of Schäffer's dual girth conjecture to Grassmannians

Mathematics – Metric Geometry

Scientific paper

Rate now

  [ 0.00 ] – not rated yet Voters 0   Comments 0

Details

Slight change of terminology; some typos corrected; one figure added

Scientific paper

In this note we introduce a natural Finsler structure on convex surfaces, referred to as the projective Finsler structure, which is dual in a sense to the obvious inclusion of a convex surface in a normed space. It has an associated projective girth, which is similar to the notion of girth defined by Sch\"affer. We prove the analogs of Sch\"affer's dual girth conjecture (proved by \'Alvarez-Paiva) and the Holmes-Thompson dual volumes theorem in the projective setting. We then show that the projective Finsler structure admits a natural extension to higher Grassmannians, and prove the corresponding theorems in the general case. We follow \'Alvarez-Paiva's approach to the problem, namely, we study the symplectic geometry of the associated co-ball bundles. For the higher Grassmannians, the theory of Hamiltonian actions is applied.

No associations

LandOfFree

Say what you really think

Search LandOfFree.com for scientists and scientific papers. Rate them and share your experience with other people.

Rating

The quotient girth of normed spaces, and an extension of Schäffer's dual girth conjecture to Grassmannians does not yet have a rating. At this time, there are no reviews or comments for this scientific paper.

If you have personal experience with The quotient girth of normed spaces, and an extension of Schäffer's dual girth conjecture to Grassmannians, we encourage you to share that experience with our LandOfFree.com community. Your opinion is very important and The quotient girth of normed spaces, and an extension of Schäffer's dual girth conjecture to Grassmannians will most certainly appreciate the feedback.

Rate now

     

Profile ID: LFWR-SCP-O-552498

  Search
All data on this website is collected from public sources. Our data reflects the most accurate information available at the time of publication.