2011
DOI: 10.1007/978-1-4614-0769-0_5
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Convex Hulls of Algebraic Sets

Abstract: This article describes a method to compute successive convex approximations of the convex hull of a set of points in R n that are the solutions to a system of polynomial equations over the reals. The method relies on sums of squares of polynomials and the dual theory of moment matrices. The main feature of the technique is that all computations are done modulo the ideal generated by the polynomials defining the set to the convexified. This work was motivated by questions raised by Lovász concerning extensions … Show more

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Cited by 11 publications
(5 citation statements)
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References 30 publications
(45 reference statements)
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“…We first recall the definition of a k-level polytope (see e.g., [GT12]): Definition 3. A polytope P is called k-level if every facet-defining linear function of P takes at most k different values on the vertices of the polytope.…”
Section: K-level Polytopes and Nonnegative Polynomial Interpolationmentioning
confidence: 99%
See 1 more Smart Citation
“…We first recall the definition of a k-level polytope (see e.g., [GT12]): Definition 3. A polytope P is called k-level if every facet-defining linear function of P takes at most k different values on the vertices of the polytope.…”
Section: K-level Polytopes and Nonnegative Polynomial Interpolationmentioning
confidence: 99%
“…Any 2-level polytope has theta-rank one (see, e.g. [GT12]). One way to see this is to note that any sequence 0 = a 0 < a 1 of length 2 has nonnegative interpolation degree 2.…”
Section: Sketch Of Proof Let Q(x) =mentioning
confidence: 99%
“…Proving cπ T x + dt + e ≥ 0 is similar as in case 1. We only need to show that (x, t) satisfies the quadratic inequality in (42), which we prove by showing that…”
Section: Final Remarks and Future Workmentioning
confidence: 99%
“…Most of the known results in this area are limited to very specific sets [46,69,71] or to approximations of semi-algebraic sets through Semidefinite Programming (SDP) [37,51,60,61,62,63,64]. While some precise SDP representations of the convex hulls of semi-algebraic sets exist [42,44,45,68], these require the use of auxiliary variables. Such higher dimensional, extended, or lifted representations are extremely 1 INTRODUCTION 2 powerful.…”
Section: Introductionmentioning
confidence: 99%
“…On the other hand, for a given basic closed semi-algebraic set, Lasserre developped in [Las09] a semi-definite relaxation method that was further investigated by Helton and Nie in [HN09] and [HN10]. Gouveia, Parrilo and Thomas constructed semi-definite relaxations of real algebraic sets in [GPT10] and [GT11]. Recently, Gouveia and Netzer further investigated exactness properties of these two methods, see [GN].…”
Section: Introductionmentioning
confidence: 99%