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On the Inverse Eigenvalue Problem for Irreducible Doubly Stochastic Matrices of Small Orders

Author

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  • Quanbing Zhang
  • Changqing Xu
  • Shangjun Yang

Abstract

The inverse eigenvalue problem is a classical and difficult problem in matrix theory. In the case of real spectrum, we first present some sufficient conditions of a real r -tuple (for ; 3; 4; 5) to be realized by a symmetric stochastic matrix. Part of these conditions is also extended to the complex case in the case of complex spectrum where the realization matrix may not necessarily be symmetry. The main approach throughout the paper in our discussion is the specific construction of realization matrices and the recursion when the targeted r -tuple is updated to a -tuple.

Suggested Citation

  • Quanbing Zhang & Changqing Xu & Shangjun Yang, 2014. "On the Inverse Eigenvalue Problem for Irreducible Doubly Stochastic Matrices of Small Orders," Abstract and Applied Analysis, Hindawi, vol. 2014, pages 1-10, March.
    • Handle: RePEc:hin:jnlaaa:902383
    DOI: 10.1155/2014/902383
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