1. Finsler's Lemma for matrix polynomials
- Author
-
Jaka Cimpric
- Subjects
Discrete mathematics ,Numerical Analysis ,Algebra and Number Theory ,Power sum symmetric polynomial ,Complete homogeneous symmetric polynomial ,Noncommutative geometry ,Combinatorics ,Mathematics - Algebraic Geometry ,15A54, 14P99, 13J25, 06F25 ,Orthogonal polynomials ,FOS: Mathematics ,Real algebraic geometry ,Discrete Mathematics and Combinatorics ,Symmetric matrix ,Elementary symmetric polynomial ,Geometry and Topology ,Ring of symmetric functions ,Algebraic Geometry (math.AG) ,Mathematics - Abstract
Finsler's Lemma charactrizes all pairs of symmetric $n \times n$ real matrices $A$ and $B$ which satisfy the property that $v^T A v>0$ for every nonzero $v \in \mathbb{R}^n$ such that $v^T B v=0$. We extend this characterization to all symmetric matrices of real multivariate polynomials, but we need an additional assumption that $B$ is negative semidefinite outside some ball. We also give two applications of this result to Noncommutative Real Algebraic Geometry which for $n=1$ reduce to the usual characterizations of positive polynomials on varieties and on compact sets., 23 pages, 2 figures, submitted
- Published
- 2015
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