半正定张量

Positive semidefinite tensors

随着大数据时代的来临,承载高阶高维信息的张量结构备受关注,从而引发了关于张量的理论、计算和应用的广泛研究.与矩阵的情形类似,作为张量理论的一个重要组成部分的半正定张量理论,也在实际问题中凸显出不可或缺的作用.本文旨在对张量的半正定性理论进行简单的梳理与总结,并希望对张量理论的未来发展提供可能的研究方向.

In the era of big data, the high-order high-dimensional tensor structure has attracted more and more attention, which further leads to the extensive study on tensor theory, computation and applications. Analogous to the matrix case, the positive semidefinite tensors, which form an important class of tensors, have played an essential role in tensor applications. This paper aims to provide a simple survey of the positive semidefiniteness of tensors and some potential research directions on tensor theory.