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We consider the three finite free convolutions for polynomials studied in a recent paper by Marcus, Spielman, and Srivastava. Each can be described either by direct explicit formulae or in terms of operations on randomly rotated matrices.…

Combinatorics · Mathematics 2022-09-02 Jacob Campbell , Zhi Yin

We characterize the maximum controlled invariant (MCI) set for discrete- as well as continuous-time nonlinear dynamical systems as the solution of an infinite-dimensional linear programming problem. For systems with polynomial dynamics and…

Optimization and Control · Mathematics 2013-03-27 Milan Korda , Didier Henrion , Colin N. Jones

This paper is a study of linear spaces of matrices and linear maps on matrix algebras that arise from \emph{spin systems}, or \emph{spin unitaries}, which are finite sets $\mathcal S$ of selfadjoint unitary matrices such that any two…

Operator Algebras · Mathematics 2020-09-28 Douglas Farenick , Farrah Huntinghawk , Adili Masanika , Sarah Plosker

This article studies algebraic certificates of positivity for noncommutative (nc) operator-valued polynomials on matrix convex sets, such as the solution set $D_L$, called a free Hilbert spectrahedron, of the linear operator inequality…

Operator Algebras · Mathematics 2016-10-06 Aljaž Zalar

Exploiting spectral properties of symmetric banded Toeplitz matrices, we describe simple sufficient conditions for positivity of a trigonometric polynomial formulated as linear matrix inequalities (LMI) in the coefficients. As an…

Optimization and Control · Mathematics 2010-07-01 Mustapha Ait Rami , Didier Henrion

A convex set with nonempty interior is maximal lattice-free if it is inclusion-maximal with respect to the property of not containing integer points in its interior. Maximal lattice-free convex sets are known to be polyhedra. The precision…

Optimization and Control · Mathematics 2011-03-28 Gennadiy Averkov , Christian Wagner , Robert Weismantel

In this work, free multivariate skew polynomial rings are considered, together with their quotients over ideals of skew polynomials that vanish at every point (which includes minimal multivariate skew polynomial rings). We provide a full…

Rings and Algebras · Mathematics 2019-08-20 Umberto Martínez-Peñas

Convex sets arising in a variety of applications are well-defined for every relevant dimension. Examples include the simplex and the spectraplex that correspond to probability distributions and to quantum states; combinatorial polytopes and…

Optimization and Control · Mathematics 2025-10-24 Eitan Levin , Venkat Chandrasekaran

Sublinear circuits are generalizations of the affine circuits in matroid theory, and they arise as the convex-combinatorial core underlying constrained non-negativity certificates of exponential sums and of polynomials based on the…

Combinatorics · Mathematics 2021-08-31 Helen Naumann , Thorsten Theobald

We consider a model that arises in integer programming, and show that all irredundant inequalities are obtained from maximal lattice-free convex sets in an affine subspace. We also show that these sets are polyhedra. The latter result…

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

We show that the free spectrahedron determined by universal anticommuting self-adjoint unitaries is not equal to the minimal matrix convex set over the ball in dimension three or higher. This example, as well as other matrix convex sets…

Functional Analysis · Mathematics 2026-03-03 Eric Evert , Benjamin Passer

We define a convex-polynomial to be one that is a convex combination of the monomials $\{1, z, z^2, \ldots\}$. This paper explores the intimate connection between peaking convex-polynomials, interpolating convex-polynomials, invariant…

Functional Analysis · Mathematics 2015-07-31 Nathan S. Feldman , Paul McGuire

This paper presents a selected tour through the theory and applications of lifts of convex sets. A lift of a convex set is a higher-dimensional convex set that projects onto the original set. Many convex sets have lifts that are…

Optimization and Control · Mathematics 2023-03-24 Hamza Fawzi , João Gouveia , Pablo A. Parrilo , James Saunderson , Rekha R. Thomas

Consider a square matrix with independent and identically distributed entries of zero mean and unit variance. It is well known that if the entries have a finite fourth moment, then, in high dimension, with high probability, the spectral…

Combinatorics · Mathematics 2018-05-31 Charles Bordenave , Pietro Caputo , Djalil Chafai , Konstantin Tikhomirov

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

In this article we develop new methods for exhibiting convex semialgebraic sets that are not spectrahedral shadows. We characterize when the set of nonnegative polynomials with a given support is a spectrahedral shadow in terms of sums of…

Rings and Algebras · Mathematics 2024-07-22 Manuel Bodirsky , Mario Kummer , Andreas Thom

Evert and Helton proved that real free spectrahedra are the matrix convex hulls of their absolute extreme points. However, this result does not extend to complex free spectrahedra, and we examine multiple ways in which the analogous result…

Functional Analysis · Mathematics 2022-09-12 Benjamin Passer

Consider a group G and an epimorphism u_0:G\to\Z inducing a splitting of G as a semidirect product ker(u_0)\rtimes_\varphi\Z with ker(u_0) a finitely generated free group and \varphi\in Out(ker(u_0)) representable by an expanding…

Geometric Topology · Mathematics 2016-09-06 Spencer Dowdall , Ilya Kapovich , Christopher J. Leininger

This expository article gives a survey of matrix convex sets, a natural generalization of convex sets to the noncommutative (dimension-free) setting, with a focus on their extreme points. Mirroring the classical setting, extreme points play…

Functional Analysis · Mathematics 2025-05-29 Eric Evert , Benjamin Passer , Tea Štrekelj

A convex-polynomial is a convex combination of the monomials $\{1, x, x^2, \ldots\}$. This paper establishes that the convex-polynomials on $\mathbb R$ are dense in $L^p(\mu)$ and weak$^*$ dense in $L^\infty(\mu)$, precisely when…

Functional Analysis · Mathematics 2015-11-02 Nathan S. Feldman , Paul J. McGuire