  The tensor complementarity problem $(\q, \mathcal{A})$ is to
  $$\mbox{ find } \x \in \mathbb{R}^n\mbox{ such that }\x \geq \0, \q +
\mathcal{A}\x^{m-1} \geq \0, \mbox{ and }\x^\top (\q + \mathcal{A}\x^{m-1}) =
0.$$ We prove that a real tensor $\mathcal{A}$ is a (strictly) semi-positive
tensor if and only if the tensor complementarity problem $(\q, \mathcal{A})$
has a unique solution for $\q>\0$ ($\q\geq\0$), and a symmetric real tensor is
a (strictly) semi-positive tensor if and only if it is (strictly) copositive.
That is, for a strictly copositive symmetric tensor $\mathcal{A}$, the tensor
complementarity problem $(\q, \mathcal{A})$ has a solution for all $\q \in
\mathbb{R}^n$.

Optimization and Control