Spectral Polyhedra

Fuente: arXiv
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Autori principali: Sanyal, Raman, Saunderson, James
Natura: Preprint
Pubblicazione: 2020
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author Sanyal, Raman
Saunderson, James
author_facet Sanyal, Raman
Saunderson, James
contents A "spectral convex set" is a collection of symmetric matrices whose range of eigenvalues form a symmetric convex set. Spectral convex sets generalize the Schur-Horn orbitopes studied by Sanyal-Sottile-Sturmfels (2011). We study this class of convex bodies, which is closed under intersections, polarity, and Minkowski sums. We describe orbits of faces and give a formula for their Steiner polynomials. We then focus on spectral polyhedra. We prove that spectral polyhedra are spectrahedra and give small representations as spectrahedral shadows. We close with observations and questions regarding hyperbolicity cones, polar convex bodies, and spectral zonotopes.
format Preprint
id arxiv_https___arxiv_org_abs_2001_04361
institution arXiv
publishDate 2020
record_format arxiv
spellingShingle Spectral Polyhedra
Sanyal, Raman
Saunderson, James
Metric Geometry
Optimization and Control
A "spectral convex set" is a collection of symmetric matrices whose range of eigenvalues form a symmetric convex set. Spectral convex sets generalize the Schur-Horn orbitopes studied by Sanyal-Sottile-Sturmfels (2011). We study this class of convex bodies, which is closed under intersections, polarity, and Minkowski sums. We describe orbits of faces and give a formula for their Steiner polynomials. We then focus on spectral polyhedra. We prove that spectral polyhedra are spectrahedra and give small representations as spectrahedral shadows. We close with observations and questions regarding hyperbolicity cones, polar convex bodies, and spectral zonotopes.
title Spectral Polyhedra
topic Metric Geometry
Optimization and Control
url https://arxiv.org/abs/2001.04361