Abstract
In this paper, the concepts of Pareto -eigenvalue and Pareto -eigenvalue are introduced for studying constrained minimization problem and the necessary and sufficient conditions of such eigenvalues are given. It is proved that a symmetric tensor has at least one Pareto -eigenvalue (Pareto -eigenvalue). Furthermore, the minimum Pareto -eigenvalue (or Pareto -eigenvalue) of a symmetric tensor is exactly equal to the minimum value of constrained minimization problem of homogeneous polynomial deduced by such a tensor, which gives an alternative methods for solving the minimum value of constrained minimization problem. In particular, a symmetric tensor is copositive if and only if every Pareto -eigenvalue (eigenvalue) of is non-negative.
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