English

Finding the Spectral Radius of a Nonnegative Tensor

Numerical Analysis 2015-03-13 v1

Abstract

In this paper, we introduce a new class of nonnegative tensors --- strictly nonnegative tensors. A weakly irreducible nonnegative tensor is a strictly nonnegative tensor but not vice versa. We show that the spectral radius of a strictly nonnegative tensor is always positive. We give some sufficient and necessary conditions for the six well-conditional classes of nonnegative tensors, introduced in the literature, and a full relationship picture about strictly nonnegative tensors with these six classes of nonnegative tensors. We then establish global R-linear convergence of a power method for finding the spectral radius of a nonnegative tensor under the condition of weak irreducibility. We show that for a nonnegative tensor T, there always exists a partition of the index set such that every tensor induced by the partition is weakly irreducible; and the spectral radius of T can be obtained from those spectral radii of the induced tensors. In this way, we develop a convergent algorithm for finding the spectral radius of a general nonnegative tensor without any additional assumption. The preliminary numerical results demonstrate the feasibility and effectiveness of the proposed algorithm.

Keywords

Cite

@article{arxiv.1111.2138,
  title  = {Finding the Spectral Radius of a Nonnegative Tensor},
  author = {Shenglong Hu and Zheng-Hai Huang and Liqun Qi},
  journal= {arXiv preprint arXiv:1111.2138},
  year   = {2015}
}

Comments

25 pages, 1 figue

R2 v1 2026-06-21T19:33:14.543Z