2016
DOI: 10.1007/s00209-016-1715-9
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Determinantal representations and Bézoutians

Abstract: A major open question in convex algebraic geometry is whether all hyperbolicity cones are spectrahedral, i.e. the solution sets of linear matrix inequalities. We will use sum-of-squares decompositions of certain bilinear forms called Bézoutians to approach this problem. More precisely, we show that for every smooth hyperbolic polynomial h there is another hyperbolic polynomial q such that q·h has a definite determinantal representation. Besides commutative algebra, the proof relies on results from real algebra… Show more

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Cited by 19 publications
(16 citation statements)
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References 28 publications
(23 reference statements)
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“…• Conjecture 2.3 is true for elementary symmetric polynomials, see [6], • Weaker versions of Conjecture 2.3 are true for smooth hyperbolic polynomials, see [25,28]. • Stronger algebraic versions of Conjecture 2.3 are false, see [5].…”
Section: Hyperbolic and Stable Polynomialsmentioning
confidence: 99%
“…• Conjecture 2.3 is true for elementary symmetric polynomials, see [6], • Weaker versions of Conjecture 2.3 are true for smooth hyperbolic polynomials, see [25,28]. • Stronger algebraic versions of Conjecture 2.3 are false, see [5].…”
Section: Hyperbolic and Stable Polynomialsmentioning
confidence: 99%
“…In this section we prove a Positivstellensatz for matrices over a ring A similar to Krivine's Positivstellensatz. Note that this is an ungraded version of the Positivstellensatz proved and used in [Kum13] that holds over the graded ring of real polynomials. The proof is also very similar.…”
Section: A Positivstellensatzmentioning
confidence: 99%
“…Since our generalized Dixon process does not require the interlacer to be contact, it is possible that a spectrahedral description of the hyperbolicity cone could be constructed in a similar way, but this is currently purely speculative. In §2.1 we point out how our construction is related to sum-ofsquares decompositions of Bézout matrices and the construction in [9].…”
Section: Introductionmentioning
confidence: 99%