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Let V be a semialgebraic set parameterized by quadratic polynomials over a quadratic set T. This paper studies semidefinite representation of its convex hull by projections of spectrahedra (defined by linear matrix inequalities). When T is…

Optimization and Control · Mathematics 2011-10-13 Jiawang Nie

Using elementary duality properties of positive semidefinite moment matrices and polynomial sum-of-squares decompositions, we prove that the convex hull of rationally parameterized algebraic varieties is semidefinite representable (that is,…

Optimization and Control · Mathematics 2011-01-31 Didier Henrion

We study $\mathbb{R}^2\oplus\mathbb{R}$-separately convex hulls of finite sets of points in $\mathbb{R}^3$, as in KirchheimMullerSverak2003. This notion of convexity, which we call $2+1$ convexity, corresponds to rank-one convex convexity,…

Analysis of PDEs · Mathematics 2022-09-30 Pablo Angulo , Carlos García-Gutiérrez

We study the convex hull of $SO(n)$, thought of as the set of $n\times n$ orthogonal matrices with unit determinant, from the point of view of semidefinite programming. We show that the convex hull of $SO(n)$ is doubly spectrahedral, i.e.…

Optimization and Control · Mathematics 2015-07-17 James Saunderson , Pablo A. Parrilo , Alan S. Willsky

The set of matrices of given positive semidefinite rank is semialgebraic. In this paper we study the geometry of this set, and in small cases we describe its boundary. For general values of positive semidefinite rank we provide a conjecture…

Algebraic Geometry · Mathematics 2017-01-11 Kaie Kubjas , Elina Robeva , Richard Z. Robinson

Denote $\mathcal{A}$ as the set of all doubly substochastic $m \times n$ matrices and let $k$ be a positive integer. Let $\mathcal{A}_k$ be the set of all $1/k$-bounded doubly substochastic $m \times n$ matrices, i.e., $\mathcal{A}_k…

Combinatorics · Mathematics 2017-11-21 Lei Deng , Qiulin Lin

This note focuses on the problem of representing convex sets as projections of the cone of positive semidefinite matrices, in the particular case of sets generated by bivariate polynomials of degree four. Conditions are given for the convex…

Optimization and Control · Mathematics 2008-09-22 Didier Henrion

Let $K \subseteq \mathbb{R}^{2 \times 2}$ be a compact set, let $K^{rc}$ be its rank-one convex hull, and let $L(K)$ be its lamination convex hull. It is shown that the mapping $K \to \overline{L(K)}$ is not upper semicontinuous on the…

Analysis of PDEs · Mathematics 2019-04-30 Terence L. J. Harris

We show that the closed convex hull of any one-dimensional semi-algebraic subset of R^n has a semidefinite representation, meaning that it can be written as a linear projection of the solution set of some linear matrix inequality. This is…

Algebraic Geometry · Mathematics 2017-09-19 Claus Scheiderer

Let $K\subseteq{\mathbb R}^n$ be a convex semialgebraic set. The semidefinite extension degree ${\mathrm{sxdeg}}(K)$ of $K$ is the smallest number $d$ such that $K$ is a linear image of an intersection of finitely many spectrahedra, each of…

Algebraic Geometry · Mathematics 2024-10-15 Claus Scheiderer

We study sets defined as the intersection of a rank-1 constraint with different choices of linear side constraints. We identify different conditions on the linear side constraints, under which the convex hull of the rank-1 set is polyhedral…

Optimization and Control · Mathematics 2019-09-20 Santanu S. Dey , Burak Kocuk , Asteroide Santana

We study the algebraic boundary of a convex semi-algebraic set via duality in convex and algebraic geometry. We generalize the correspondence of facets of a polytope to the vertices of the dual polytope to general semi-algebraic convex…

Algebraic Geometry · Mathematics 2014-11-04 Rainer Sinn

We consider the decision problem asking whether a partial rational symmetric matrix with an all-ones diagonal can be completed to a full positive semidefinite matrix of rank at most $k$. We show that this problem is $\NP$-hard for any fixed…

Optimization and Control · Mathematics 2012-09-19 Marianna Eisenberg-Nagy , Monique Laurent , Antonios Varvitsiotis

We consider the convex quadratic optimization problem with indicator variables and arbitrary constraints on the indicators. We show that a convex hull description of the associated mixed-integer set in an extended space with a quadratic…

Optimization and Control · Mathematics 2022-11-29 Linchuan Wei , Alper Atamtürk , Andrés Gómez , Simge Küçükyavuz

The Helton-Nie Conjecture (HNC) is the proposition that every convex semialgebraic set is a spectrahedral shadow. Here we prove that HNC is equivalent to another propo- sition related to quadratically constrained quadratic programming.…

Optimization and Control · Mathematics 2015-01-07 Martin Ames Harrison

We study the symmetrised rank-one convex hull of monoclinic-I martensite (a twelve-variant material) in the context of geometrically-linear elasticity. We construct sets of T3s, which are (non-trivial) symmetrised rank-one convex hulls of…

Analysis of PDEs · Mathematics 2012-06-20 Isaac Vikram Chenchiah , Anja Schlömerkemper

In this paper we prove a conjecture stated by the first two authors establishing the closure of the numerical range of a certain class of $n+1$-periodic tridiagonal operators as the convex hull of the numerical ranges of two tridiagonal…

Functional Analysis · Mathematics 2022-05-13 Benjamín A. Itzá-Ortiz , Rubén A. Martínez-Avendaño , Hiroshi Nakazato

We prove that the combinatorial optimization problem of determining the hull number of a partial cube is NP-complete. This makes partial cubes the minimal graph class for which NP-completeness of this problem is known and improves some…

Combinatorics · Mathematics 2015-10-09 Marie Albenque , Kolja Knauer

We study properties of convex hulls of (co)adjoint orbits of compact groups, with applications to invariant theory and tensor product decompositions. The notion of partial convex hulls is introduced and applied to define two numerical…

Representation Theory · Mathematics 2024-02-22 Valdemar V. Tsanov

We study the closure of the projection of the (nonconvex) cone of rank restricted positive semidefinite matrices onto subsets of the matrix entries. This defines the feasible sets for semidefinite completion problems with restrictions on…

Optimization and Control · Mathematics 2016-11-01 Ian Davidson , Henry Wolkowicz
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