Complexity estimates for the Schmu¨dgen Positivstellensatz
Journal of Complexity
Global Optimization with Polynomials and the Problem of Moments
SIAM Journal on Optimization
Global Minimization of a Multivariate Polynomial using Matrix Methods
Journal of Global Optimization
Optimization of Polynomials on Compact Semialgebraic Sets
SIAM Journal on Optimization
Semidefinite Approximations for Global Unconstrained Polynomial Optimization
SIAM Journal on Optimization
Quantitative Generalized Bertini-Sard Theorem for Smooth Affine Varieties
Discrete & Computational Geometry
Minimizing Polynomials via Sum of Squares over the Gradient Ideal
Mathematical Programming: Series A and B
Global Optimization of Polynomials Using Gradient Tentacles and Sums of Squares
SIAM Journal on Optimization
Global Optimization of Polynomials Using the Truncated Tangency Variety and Sums of Squares
SIAM Journal on Optimization
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This paper studies the representation of a positive polynomial $f$ on a closed semialgebraic set $S:=\{x\in\mathbb{R}^n\mid g_i(x)=0, i=1,\dots,l, h_j(x)\geq0, j=1,\dots,m\}$ modulo the so-called critical ideal $I(f,S)$ of $f$ on $S$. Under a constraint qualification condition, it is demonstrated that, if either $f0$ on $S$ or $f\geq0$ on $S$ and the critical ideal $I(f,S)$ is radical, then $f$ belongs to the preordering generated by the polynomials $h_1,\dots,h_m$ modulo the critical ideal $I(f,S)$. These facts imply that we can find a natural sequence of semidefinite programs whose optimal values converge monotonically, increasing to the infimum value $f^*:=\inf_{x\in S}f(x)$ of $f$ on $S$, provided that the infimum value is attained at some point. Besides, we shall construct a finite set in $\mathbb{R}$ containing the infimum value $f^*$. Moreover, some relations between the Fedoryuk [Soviet Math. Dokl., 17 (1976), pp. 486-490] and Malgrange [Complex Analysis, Microlocal Calculus and Relativistic Quantum Theory, Lecture Notes in Phys. 126, Springer, Berlin, 1980, pp. 170-177] conditions and coercivity for polynomials, which are bounded from below on $S$, are also established. In particular, a sufficient condition for $f$ to attain its infimum on $S$ is derived from these facts. We also show that every polynomial $f$, which is bounded from below on $S$, can be approximated in the $l_1$-norm of coefficients by a sequence of polynomials $f_\epsilon$ that are coercive. Finally, it is shown that almost every linear polynomial function, which is bounded from below on $S$, attains its infimum on $S$ and has the same asymptotic growth at infinity.