Bregman distances and Klee sets
| dc.creator | Bauschke, Heinz H. | |
| dc.creator | Wang, Xianfu | |
| dc.creator | Ye, Jane | |
| dc.creator | Yuan, Xiaoming | |
| dc.date | 2008-02-16 | |
| dc.date.accessioned | 2026-07-07T09:21:25Z | |
| dc.date.available | 2026-07-07T09:21:25Z | |
| dc.description | In 1960, Klee showed that a subset of a Euclidean space must be a singleton provided that each point in the space has a unique farthest point in the set. This classical result has received much attention; in fact, the Hilbert space version is a famous open problem. In this paper, we consider Klee sets from a new perspective. Rather than measuring distance induced by a norm, we focus on the case when distance is meant in the sense of Bregman, i.e., induced by a convex function. When the convex function has sufficiently nice properties, then - analogously to the Euclidean distance case - every Klee set must be a singleton. We provide two proofs of this result, based on Monotone Operator Theory and on Nonsmooth Analysis. The latter approach leads to results that complement work by Hiriart-Urruty on the Euclidean case. | |
| dc.identifier | https://arxiv.org/abs/0802.2322 | |
| dc.identifier | http://arxiv.org/abs/0802.2322 | |
| dc.identifier.uri | http://salesiana.dossiersoluciones.com/handle/123456789/155014 | |
| dc.subject | Functional Analysis | |
| dc.subject | Optimization and Control | |
| dc.subject | 47H05; 41A65; 49J52 | |
| dc.title | Bregman distances and Klee sets | |
| dc.type | text |