
AbstractA homogeneous real polynomialpishyperbolicwith respect to a given vector d if the univariate polynomial t ⟼ p(x − td) has all real roots for all vectorsx. Motivated by partial differential equations, Gårding proved in 1951 that the largest such root is a convex function ofx, 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.
Convex programming, hyperbolicity cone, hyperbolic barrier function, hyperbolic polynomial, unitarily invariant norm, convex analysis, singular value, symmetric function, interior-point method, Convex functions and convex programs in convex geometry, Gårding's inequality, eigenvalue, semidefinite program
Convex programming, hyperbolicity cone, hyperbolic barrier function, hyperbolic polynomial, unitarily invariant norm, convex analysis, singular value, symmetric function, interior-point method, Convex functions and convex programs in convex geometry, Gårding's inequality, eigenvalue, semidefinite program
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