On the complexity of Putinar-Vasilescu's Positivstellensatz
Ngoc Hoang Anh Mai, Victor Magron

TL;DR
This paper establishes a new degree bound for sum-of-squares polynomials in Putinar-Vasilescu's Positivstellensatz, leading to a polynomial-time hierarchy for polynomial optimization with improved complexity bounds over previous exponential bounds.
Contribution
It introduces a new degree bound for SOS polynomials in the Positivstellensatz, resulting in a polynomial complexity hierarchy for polynomial optimization.
Findings
Provides a polynomial hierarchy for lower bounds in polynomial optimization.
Achieves a complexity of O(ε^{-c}) with c=65 for the unit ball case.
Improves previous exponential complexity bounds to polynomial bounds.
Abstract
We provide a new degree bound on the weighted sum-of-squares (SOS) polynomials for Putinar-Vasilescu's Positivstellensatz. This leads to another Positivstellensatz saying that if is a polynomial of degree at most nonnegative on a semialgebraic set having nonempty interior defined by finitely many polynomial inequalities , with for some , then there exist positive constants and depending on such that for any , for all , has the decomposition \begin{equation} \begin{array}{l} (1+\|x\|_2^2)^k(f+\varepsilon)=\sigma_0+\sum_{j=1}^m \sigma_jg_j \,, \end{array} \end{equation} for some SOS polynomials being such that the degrees of are at most . Here denotes the vector norm. As a consequence, we…
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Taxonomy
TopicsAdvanced Optimization Algorithms Research · Polynomial and algebraic computation · Commutative Algebra and Its Applications
