English

Properties of Tensor Complementarity Problem and Some Classes of Structured Tensors

Optimization and Control 2017-01-18 v3

Abstract

This paper deals with the class of Q-tensors, that is, a Q-tensor is a real tensor A\mathcal{A} such that the tensor complementarity problem (\q,A)(\q, \mathcal{A}): \mboxfinding\xRn\mboxsuchthat\x\0,\q+A\xm1\0,\mboxand\x(\q+A\xm1)=0,\mbox{ finding } \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, has a solution for each vector \qRn\q \in \mathbb{R}^n. Several subclasses of Q-tensors are given: P-tensors, R-tensors, strictly semi-positive tensors and semi-positive R0_0-tensors. We prove that a nonnegative tensor is a Q-tensor if and only if all of its principal diagonal entries are positive, and so the equivalence of Q-tensor, R-tensors, strictly semi-positive tensors is showed if they are nonnegative tensors. We also show that a tensor is a R0_0-tensor if and only if the tensor complementarity problem (\0,A)(\0, \mathcal{A}) has no non-zero vector solution, and a tensor is a R-tensor if and only if it is a R0_0-tensor and the tensor complementarity problem (\e,A)(\e, \mathcal{A}) has no non-zero vector solution, where \e=(1,1,1)\e=(1,1\cdots,1)^\top.

Keywords

Cite

@article{arxiv.1412.0113,
  title  = {Properties of Tensor Complementarity Problem and Some Classes of Structured Tensors},
  author = {Yisheng Song and Liqun Qi},
  journal= {arXiv preprint arXiv:1412.0113},
  year   = {2017}
}
R2 v1 2026-06-22T07:15:44.454Z