Abstract
We introduce the cone of completely positive functions, a subset of the cone of positive-type functions, and use it to fully characterize maximum-density distance-avoiding sets as the optimal solutions of a convex optimization problem. As a consequence of this characterization, it is possible to reprove and improve many results concerning distance-avoiding sets on the sphere and in Euclidean space.
Original language | English |
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Pages (from-to) | 487-558 |
Number of pages | 72 |
Journal | Mathematical Programming |
Volume | 191 |
Issue number | 2 |
DOIs | |
Publication status | Published - 2020 |
Keywords
- Chromatic number of Euclidean space
- Copositive programming
- Hadwiger-Nelson problem
- Harmonic analysis
- Semidefinite programming