Containment Problems for Projections of Polyhedra and Spectrahedra
Kai Kellner

TL;DR
This paper studies the containment problem for projections of polyhedra and spectrahedra, formulating it as polynomial nonnegativity problems and developing hierarchies of semidefinite conditions to decide containment.
Contribution
It introduces a novel approach to containment problems by using polynomial nonnegativity and Positivstellensätze, extending previous results and connecting to positive linear maps.
Findings
Hierarchies of semidefinite conditions for containment
Extension of conditions from polyhedral to spectrahedral cases
Connections to positive linear map theory
Abstract
Spectrahedra are affine sections of the cone of positive semidefinite matrices which form a rich class of convex bodies that properly contains that of polyhedra. While the class of polyhedra is closed under linear projections, the class of spectrahedra is not. In this paper we investigate the problem of deciding containment of projections of polyhedra and spectrahedra based on previous works on containment of spectrahedra. The main concern is to study these containment problems by formulating them as polynomial nonnegativity problems. This allows to state hierarchies of (sufficient) semidefinite conditions by applying (and proving) sophisticated Positivstellens\"atze. We also extend results on a solitary sufficient condition for containment of spectrahedra coming from the polyhedral situation as well as connections to the theory of (completely) positive linear maps.
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Taxonomy
TopicsAdvanced Theoretical and Applied Studies in Material Sciences and Geometry · Advanced Optimization Algorithms Research · Computational Geometry and Mesh Generation
