If you can hide behind it, can you hide inside it?

Mathematics – Metric Geometry

Scientific paper

Rate now

  [ 0.00 ] – not rated yet Voters 0   Comments 0

Details

19 pages

Scientific paper

Let L be a compact convex set in R^n, and let 1 <= d <= n-1. The set L is defined to be d-decomposable if L is a direct Minkowski sum (affine Cartesian product) of two or more convex bodies each of dimension at most d. A compact convex set L is called d-reliable if, whenever each d-dimensional orthogonal projection of L contains a translate of the corresponding d-dimensional projection of a compact convex set K, it must follow that L contains a translate of K. It is shown that, for 1 <= d <= n-1: (1) d-decomposability implies d-reliability. (2) A compact convex set L in R^n is d-reliable if and only if, for all m >= d+2, no m unit normals to regular boundary points of L form the outer unit normals of a (m-1)-dimensional simplex. (3) Smooth convex bodies are not d-reliable. (4) A compact convex set L in R^n is 1-reliable if and only if L is 1-decomposable (i.e. a parallelotope). (5) A centrally symmetric compact convex set L in R^n is 2-reliable if and only if L is 2-decomposable. However, there are non-centered 2-reliable convex bodies that are not 2-decomposable.

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

If you can hide behind it, can you hide inside it? 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 If you can hide behind it, can you hide inside it?, we encourage you to share that experience with our LandOfFree.com community. Your opinion is very important and If you can hide behind it, can you hide inside it? will most certainly appreciate the feedback.

Rate now

     

Profile ID: LFWR-SCP-O-325722

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