Linear slices of hyperbolic polynomials and positivity of symmetric polynomial functions

被引:2
作者
Riener, Cordian [1 ]
Schabert, Robin [1 ]
机构
[1] UiT Arctic Univ Norway, Dept Math & Stat, N-9037 Tromso, Norway
关键词
Symmetric functions; Real algebraic geometry; Nonnegativity; Hyperbolic polynomials; Symmetric inequalities; SETS; INVARIANT; VARIABLES; THEOREM; SUMS;
D O I
10.1016/j.jpaa.2023.107552
中图分类号
O29 [应用数学];
学科分类号
070104 ;
摘要
A real univariate polynomial of degree n is called hyperbolic if all of its n roots are on the real line. Such polynomials appear quite naturally in different applications, for example, in combinatorics and optimization. The focus of this article is on families of hyperbolic polynomials which are determined through k linear conditions on the coefficients. The coefficients corresponding to such a family of hyperbolic polynomials form a semi-algebraic set which we call a hyperbolic slice. We initiate here the study of the geometry of these objects in more detail. The set of hyperbolic polynomials is naturally stratified with respect to the multiplicities of the real zeros and this stratification induces also a stratification on the hyperbolic slices. Our main focus here is on the local extreme points of hyperbolic slices, i.e., the local extreme points of linear functionals, and we show that these correspond precisely to those hyperbolic polynomials in the hyperbolic slice which have at most k distinct roots and we can show that generically the convex hull of such a family is a polyhedron. Building on these results, we give consequences of our results to the study of symmetric real varieties and symmetric semi-algebraic sets. Here, we show that sets defined by symmetric polynomials which can be expressed sparsely in terms of elementary symmetric polynomials can be sampled on points with few distinct coordinates. This in turn allows for algorithmic simplifications, for example, to verify that such polynomials are non-negative or that a semi-algebraic set defined by such polynomials is empty.(c) 2023 The Author(s). Published by Elsevier B.V. This is an open access article under the CC BY license (http://creativecommons .org /licenses /by /4 .0/).
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页数:21
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