Abstract
In this section we discuss nonnegative matrices A = (a ij), i.e., a ij ≥ 0 for all i and j, in which case we write A ≥ O. If a ij > 0 for all i and j, we write A > O. For two matrices A and B, we write A ≥ B if and only if A − B ≥ O and A > B if and only if A − B > O. Throughout this section, we assume that matrices are finite and square.
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© 1997 M. Kijima
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Kijima, M. (1997). Review of matrix theory. In: Markov Processes for Stochastic Modeling. Springer, Boston, MA. https://doi.org/10.1007/978-1-4899-3132-0_6
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DOI: https://doi.org/10.1007/978-1-4899-3132-0_6
Publisher Name: Springer, Boston, MA
Print ISBN: 978-0-412-60660-1
Online ISBN: 978-1-4899-3132-0
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