This textbook provides a thorough introduction to spectrahedra, which are the solution sets to linear matrix inequalities, emerging in convex and polynomial optimization, analysis, combinatorics, and algebraic geometry. Including a wealth of examples and exercises, this textbook guides the reader in helping to determine the convex sets that can be represented and approximated as spectrahedra and their shadows (projections). Several general results obtained in the last 15 years by a variety of different methods are presented in the book, along with the necessary background from algebra and geometry.

Unifies recent key results, along with elementary proofs Includes many exercises for active learning Appeals to mathematical researchers across diverse fields

Autorentext
Johanna Frischauf studierte Mathematik an der Universität Innsbruck und hat einen Master- sowie Lehramtsabschluss. Ihre Promotion in Mathematik schloss sie im Jahr 2023 in Innsbruck ab. Sie hat viel Erfahrung in der universitären Lehre, ganz besonders im Lehramtsstudiengang Mathematik. Tim Netzer ist Professor für angewandte Algebra an der Universität Innsbruck. Er unterrichtet seit Jahren Studierende im gesamten Bachelor- und Masterstudium der Mathematik und dem Lehramtsstudium.

Inhalt

• 1. Introduction and Preliminaries. - 2. Linear Matrix Inequalities and Spectrahedra. - 3. Spectrahedral Shadows.