2022
DOI: 10.1007/s10107-022-01877-6
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On the effective Putinar’s Positivstellensatz and moment approximation

Abstract: The Positivstellensätze of Putinar and Schmüdgen show that any polynomial f positive on a compact semialgebraic set can be represented using sums of squares. Recently, there has been large interest in proving effective versions of these results, namely to show bounds on the required degree of the sums of squares in such representations. These effective Positivstellensätze have direct implications for the convergence rate of the celebrated moment-SOS hierarchy in polynomial optimization. In this paper, we restr… Show more

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Cited by 11 publications
(8 citation statements)
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“…A second one is to refine the quantifier-elimination bound given in Corollary 3. Unlike the viewpoint of the so-called effective Putinar Positivstellensatz introduced in [1], for which degree bounds depend on the polynomial itself, it is clear from our analysis that for the complexity analysis of the TMP one needs to give uniform degree bounds that only depend on the input of the TMP. One way of getting such uniform bounds is to consider manifestly positive polynomials such as those in 1 + Q(g ) for compact K = S(g ).…”
Section: Discussionmentioning
confidence: 96%
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“…A second one is to refine the quantifier-elimination bound given in Corollary 3. Unlike the viewpoint of the so-called effective Putinar Positivstellensatz introduced in [1], for which degree bounds depend on the polynomial itself, it is clear from our analysis that for the complexity analysis of the TMP one needs to give uniform degree bounds that only depend on the input of the TMP. One way of getting such uniform bounds is to consider manifestly positive polynomials such as those in 1 + Q(g ) for compact K = S(g ).…”
Section: Discussionmentioning
confidence: 96%
“…In this work we make use of quantifier elimination for determining bounds on the complexity of computing certificates for unrepresentability by using quantitative results from [2]. These also rely on recent advances in the complexity analysis of Putinar Positivstellensatz [1].…”
Section: Overview and State Of The Artmentioning
confidence: 99%
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