Hyperbolic polynomials and convex analysis

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Abstract

A homogeneous real polynomial p is hyperbolic with respect to a given vector d if the univariate polynomial t → p(x - td) has all real roots for all vectors x. Motivated by partial differential equations, Gårding proved in 1951 that the largest such root is a convex function of x, and showed various ways of constructing new hyperbolic polynomials. We present a powerful new such construction, and use it to generalize Gårding's result to arbitrary symmetric functions of the roots. Many classical and recent inequalities follow easily. We develop various convex-analytic tools for such symmetric functions, of interest in interior-point methods for optimization problems over related cones.

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APA

Bauschke, H. H., Güler, O., Lewis, A. S., & Sendov, H. S. (2001). Hyperbolic polynomials and convex analysis. Canadian Journal of Mathematics, 53(3), 470–488. https://doi.org/10.4153/CJM-2001-020-6

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