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Suppose that the set ${\mathcal{T}}= \{T_1, T_2,...,T_q \} $ of real $n\times n$ matrices has joint spectral radius less than $1$. Then for any digit set $ D= \{d_1, \cdots, d_q\} \subset {\Bbb R}^n$, there exists a unique nonempty compact…

Dynamical Systems · Mathematics 2019-02-12 Ibrahim Kirat , Ilker Kocyigit

A matrix convex set is a set of the form $\mathcal{S} = \cup_{n\geq 1}\mathcal{S}_n$ (where each $\mathcal{S}_n$ is a set of $d$-tuples of $n \times n$ matrices) that is invariant under UCP maps from $M_n$ to $M_k$ and under formation of…

Operator Algebras · Mathematics 2025-04-15 Kenneth R. Davidson , Adam Dor-On , Orr Shalit , Baruch Solel

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…

Optimization and Control · Mathematics 2010-07-27 João Gouveia , Rekha R. Thomas

We deal with linear programming problems involving absolute values in their formulations, so that they are no more expressible as standard linear programs. The presence of absolute values causes the problems to be nonconvex and nonsmooth,…

Optimization and Control · Mathematics 2023-07-10 Milan Hladík , David Hartman

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

Deciding whether the union of two convex polyhedra is itself a convex polyhedron is a basic problem in polyhedral computations; having important applications in the field of constrained control and in the synthesis, analysis, verification…

Computational Geometry · Computer Science 2009-08-10 Roberto Bagnara , Patricia M. Hill , Enea Zaffanella

The problem of finding the convex hull of an IFS fractal is relevant in both theoretical and computational settings. Various methods exist that approximate it, but our aim is its exact determination. The finiteness of extremal points is…

Dynamical Systems · Mathematics 2018-02-05 József Vass

We determine the extreme points and facets of the convex hull of all dual degree partitions of simple graphs on $n$ vertices.

Combinatorics · Mathematics 2007-05-23 Amitava Bhattacharya , Shmuel Friedland , Uri N. Peled

Spectrahedra are linear sections of the cone of positive semidefinite matrices that, as convex bodies, generalize the class of polyhedra. In this paper we investigate the problem of recognizing when a spectrahedron is polyhedral. We reprove…

Optimization and Control · Mathematics 2015-07-22 Avinash Bhardwaj , Philipp Rostalski , Raman Sanyal

Given an iterated function system of affine dilations with fixed points the vertices of a regular polygon, we characterize which points in the limit set lie on the boundary of its convex hull.

Dynamical Systems · Mathematics 2018-11-20 Danny Calegari , Alden Walker

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 show that maximal $S$-free convex sets are polyhedra when $S$ is the set of integral points in some rational polyhedron of $\mathbb{R}^n$. This result extends a theorem of Lov\'asz characterizing maximal lattice-free convex sets. Our…

Optimization and Control · Mathematics 2017-01-24 Amitabh Basu , Michele Conforti , Gerard Cornuejols , Giacomo Zambelli

Given a quadratic module, we construct its universal C*-algebra, and then use methods and notions from the theory of C*-algebras to study the quadratic module. We define residually finite-dimensional quadratic modules, and characterize them…

Operator Algebras · Mathematics 2026-04-28 Vadim Alekseev , Tim Netzer , Andreas Thom

A "spectral convex set" is a collection of symmetric matrices whose range of eigenvalues form a symmetric convex set. Spectral convex sets generalize the Schur-Horn orbitopes studied by Sanyal-Sottile-Sturmfels (2011). We study this class…

Metric Geometry · Mathematics 2025-02-12 Raman Sanyal , James Saunderson

Kippenhahn discovered that the numerical range of a complex square matrix is the convex hull of a plane real algebraic curve. Here, we present an example of a convex set, which has a similar algebraic description as the numerical range,…

Functional Analysis · Mathematics 2023-09-01 Stephan Weis

Let $K$ be a compact Lie group and $V$ a finite-dimensional representation of $K$. The orbitope of a vector $x\in V$ is the convex hull $\mathscr O_x$ of the orbit $Kx$ in $V$. We show that if $V$ is polar then $\mathscr O_x$ is a…

Optimization and Control · Mathematics 2020-10-06 Tim Kobert , Claus Scheiderer

This article investigates matrix convex sets and introduces their tracial analogs which we call contractively tracial convex sets. In both contexts completely positive (cp) maps play a central role: unital cp maps in the case of matrix…

Operator Algebras · Mathematics 2018-04-27 J. William Helton , Igor Klep , Scott McCullough

We determine the extreme points of the convex set of covariant phase observables. Such extremals describe the best phase parameter measurements of laser light - the best in the sense that they are free from classical randomness due to…

Quantum Physics · Physics 2015-05-14 Juha-Pekka Pellonpää

A subset $S$ of the unit sphere $\mathbb{S}^2$ is called orthogonal-pair-free if and only if there do not exist two distinct points $u, v \in S$ at distance $\frac{\pi}{2}$ from each other. Witsenhausen \cite{witsenhausen} asked the…

Computational Geometry · Computer Science 2024-03-28 Apurva Mudgal

Arithmetic automata recognize infinite words of digits denoting decompositions of real and integer vectors. These automata are known expressive and efficient enough to represent the whole set of solutions of complex linear constraints…

Data Structures and Algorithms · Computer Science 2008-12-11 Jérôme Leroux