A convex polynomial that is not sos-convex
成果类型:
Article
署名作者:
Ahmadi, Amir Ali; Parrilo, Pablo A.
署名单位:
Massachusetts Institute of Technology (MIT)
刊物名称:
MATHEMATICAL PROGRAMMING
ISSN/ISSBN:
0025-5610
DOI:
10.1007/s10107-011-0457-z
发表日期:
2012
页码:
275-292
关键词:
semidefinite programs
squares
SUM
REPRESENTATION
relaxations
forms
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.