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Minimax Theory and its Applications 04 (2019), No. 2, 329--339 Copyright Heldermann Verlag 2019 An Elementary Proof for the Exact Relaxation for Rank One Moment Matrices in Multi-Polynomial SOS Relaxation Shenglong Hu Department of Mathematics, School of Science, Hangzhou Dianzi University, Hangzhou 310018, China shenglonghu@hdu.edu.cn We present an elementary proof for the fact that an optimal rank one moment matrix in the multi-polynomial SOS relaxation gives an exact relaxation. This fact is a fundamental result in multi-polynomial SOS relaxation method for the class of multi-polynomial optimization problems. The multi-polynomial SOS relaxation method is designed by exploring the special structures of the class of multi-polynomial optimization problems, which has the advantage for giving an SDP with size about half of that for the classical SOS relaxation in the general formulation. Keywords: Multi-polynomial, multi-form, SOS, exact relaxation. MSC: 15A18, 15A42, 15A69 [ Fulltext-pdf (110 KB)] for subscribers only. |