Francesco Tudisco

Associate Professor (Reader) in Machine Learning

School of Mathematics, The University of Edinburgh
The Maxwell Institute for Mathematical Sciences
School of Mathematics, Gran Sasso Science Institute JCMB, King’s Buildings, Edinburgh EH93FD UK
email: f dot tudisco at ed.ac.uk

A note on certain ergodicity coefficients

Francesco Tudisco,
Special Matrices, 3 : 175--185 (2015)

Abstract

We investigate two ergodicity coefficients $\phi_{|| \cdot ||}$ and $\tau_{n-1}$, originally introduced to bound the subdominant eigenvalues of nonnegative matrices. The former has been generalized to complex matrices in recent years and several properties for such generalized version have been shown so far. We provide a further result concerning the limit of its powers. Then we propose a generalization of the second coefficient $\tau_{n-1}$ and we show that, under mild conditions, it can be used to recast the eigenvector problem $Ax = x$ as a particular $M$-matrix linear system, whose coefficient matrix can be defined in terms of the entries of $A$. Such property turns out to generalize the two known equivalent formulations of the Pagerank centrality of a graph.

Please cite this work as:

@article{tudisco2015note,
  title={A note on certain ergodicity coeflcients},
  author={Tudisco, Francesco},
  journal={Special Matrices},
  volume={3},
  number={1},
  year={2015},
  publisher={De Gruyter Open}
}

Links: doi

Keywords: Ergodicity coefficients Eigenvalues Nonnegative matrices Linear systems Pagerank