An algorithm for constructing nonnegative matrices with prescribed real eigenvalues

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摘要

Provided with the real spectrum, this paper presents a numerical procedure based on the induction principle to solve two types of inverse eigenvalue problems, one for nonnegative matrices and another for symmetric nonnegative matrices. As an immediate application, our approach can offer not only the sufficient condition to solve inverse eigenvalue problems for nonnegative or symmetric nonnegative matrices, but also a numerical way to solve inverse eigenvalue problems for stochastic matrices. Numerical examples are presented to show the capacity of our method.

论文关键词:Inverse eigenvalue problem,Nonnegative matrices,Perron–Frobenius theorem,Stochastic matrices

论文评审过程:Available online 13 February 2015.

论文官网地址:https://doi.org/10.1016/j.amc.2015.01.033