On the tightness of an SDP relaxation for homogeneous QCQP with three real or four complex homogeneous constraints
In this paper, we consider the problem of minimizing a general homogeneous quadratic function, subject to three real or four complex homogeneous quadratic inequality or equality constraints. For this problem, we present a sufficient and necessary test condition to detect whether its typical semidefi...
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Main Authors | , , |
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Format | Journal Article |
Language | English |
Published |
09.04.2023
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Subjects | |
Online Access | Get full text |
DOI | 10.48550/arxiv.2304.04174 |
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Summary: | In this paper, we consider the problem of minimizing a general homogeneous
quadratic function, subject to three real or four complex homogeneous quadratic
inequality or equality constraints. For this problem, we present a sufficient
and necessary test condition to detect whether its typical semidefinite
programming (SDP) relaxation is tight or not. This test condition is easily
verifiable, and is based on only an optimal solution pair of the SDP relaxation
and its dual. When the tightness is confirmed, a global optimal solution of the
original problem is found simultaneously in polynomial-time. Furthermore, as an
application of the test condition, S-lemma and Yuan's lemma are generalized to
three real and four complex quadratic forms first under certain exact
conditions, which improves some classical results in literature. Finally,
numerical experiments demonstrate the numerical effectiveness of the test
condition. |
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DOI: | 10.48550/arxiv.2304.04174 |