Bianalytic Maps Between Free Spectrahedra
Meric Augat, J. William Helton, Igor Klep, Scott McCullough

TL;DR
This paper classifies bianalytic maps between free spectrahedra, revealing they are essentially convexotonic maps linked to g-dimensional algebras, and establishes related positivity and approximation results.
Contribution
It provides a classification of free bianalytic maps between free spectrahedra as convexotonic maps associated with g-dimensional algebras, under irreducibility assumptions.
Findings
Bianalytic maps are convexotonic maps related to g-dimensional algebras.
Such maps extend to birational maps after affine transformations.
The paper establishes a Positivstellensatz and polynomial approximation results for free analytic functions.
Abstract
Linear matrix inequalities (LMIs) play a role in many areas of applications and the set of solutions to one is called a spectrahedron. LMIs in (dimension--free) matrix variables model most problems in linear systems engineering, and their solution sets D_A are called free spectrahedra. These are exactly the free semialgebraic convex sets. This paper studies free analytic maps between free spectrahedra and, under certain irreducibility assumptions, classifies all those that are bianalytic. The foundation of such maps turns out to be a very small class of birational maps we call convexotonic. The convexotonic maps in g variables sit in correspondence with g-dimensional algebras. If two bounded free spectrahedra D_A and D_B meeting our irreducibility assumptions are free bianalytic with map denoted p, then p must (after…
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