Abstract
We derive an upper bound on the size of a ball such that the image of the ball under quadratic map is strongly convex and smooth. Our result is the best possible improvement of the analogous result by Polyak [1] in the case of a quadratic map. We also generalize the notion of the joint numerical range of m-tuple of matrices by adding vector-dependent inhomogeneous term and provide a sufficient condition for its convexity.
| Original language | English |
|---|---|
| Article number | 13356 |
| Pages (from-to) | 109-123 |
| Number of pages | 15 |
| Journal | Linear Algebra and Its Applications |
| Volume | 488 |
| DOIs | |
| State | Published - Jan 1 2016 |
Bibliographical note
Publisher Copyright:© 2015 Elsevier Inc.
Funding
I would like to thank Tudor Dimofte, Konstantin Turitsyn and Jamin Sheriff for useful discussions and gratefully acknowledge support from the grant RFBR 15-01-04217 .
| Funders | Funder number |
|---|---|
| Russian Foundation for Basic Research | 15-01-04217 |
Keywords
- Convexity
- Joint numerical range
- Quadratic transformation (map)
- Trust region problem
ASJC Scopus subject areas
- Algebra and Number Theory
- Numerical Analysis
- Geometry and Topology
- Discrete Mathematics and Combinatorics