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A convex polynomial that is not sos-convex

机译:非正凸的凸多项式

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摘要

A multivariate polynomial p(x) = p(x _1,?, x _n) is sos-convex if its Hessian H(x) can be factored as H(x) = M ~T (x) M(x) with a possibly nonsquare polynomial matrix M(x). It is easy to see that sos-convexity is a sufficient condition for convexity of p(x). Moreover, the problem of deciding sos-convexity of a polynomial can be cast as the feasibility of a semidefinite program, which can be solved efficiently. Motivated by this computational tractability, it is natural to study whether sos-convexity is also a necessary condition for convexity of polynomials. In this paper, we give a negative answer to this question by presenting an explicit example of a trivariate homogeneous polynomial of degree eight that is convex but not sos-convex.
机译:如果多元Hessian H(x)可以分解为H(x)= M〜T(x)M(x),则多元多项式p(x)= p(x _1,?,x _n)是sos凸的。可能是非平方多项式矩阵M(x)。很容易看到,sos凸性是p(x)凸性的充分条件。而且,决定多项式的正凸性的问题可以被看作是半定程序的可行性,可以有效地解决。受这种计算可处理性的推动,很自然地要研究sos凸性是否也是多项式凸性的必要条件。在本文中,我们通过给出一个凸八度的三元齐次多项式的凸示例而不是凸凸的方式给出否定答案。

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