Certificates for nonnegativity of multivariate integer polynomials under perturbations
Mat\'ias R Bender (TROPICAL), Khazhgali Kozhasov (UniCA), Elias Tsigaridas (OURAGAN), Chaoping Zhu (OURAGAN)

TL;DR
This paper introduces a new framework for certifying the global nonnegativity of multivariate integer polynomials by combining a stereographic transformation with explicit perturbations, removing previous structural assumptions and providing effective SOS certificates.
Contribution
It develops an unconditional, general approach for nonnegativity certification of multivariate polynomials, including new algorithms and explicit perturbation schemes that improve upon existing SOS methods.
Findings
Framework removes structural assumptions like infimum attainment and zero-dimensionality.
Algorithms have single exponential bit complexity in the number of variables.
New SOS perturbation scheme guarantees a polynomial can be expressed as a sum of squares.
Abstract
We develop a general and unconditional framework for certifying the global nonnegativity of multivariate integer polynomials; based on rewriting them as sum of squares modulo their gradient ideals. We remove the two structural assumptions typically required by other approaches, namely that the polynomial attains its infimum and zero-dimensionality of the gradient ideal. Our approach combines a denominator-free stereographic transformation with a refined variant of the Hanzon--Jibetean perturbation scheme. The stereographic transformation preserves nonnegativity while making the polynomial coercive, with explicit bounds on the radius of positivity and on the nonzero critical values. Subsequently, we apply carefully constructed explicit perturbations that enforce zero-dimensionality of the gradient ideal without altering nonnegativity, allowing us to invoke recent algorithms to derive…
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Taxonomy
TopicsPolynomial and algebraic computation · Advanced Optimization Algorithms Research · Commutative Algebra and Its Applications
