On the structure of stochastic matrices with a subdominant eigenvalue near 1
β Scribed by D.J. Hartfiel; Carl D. Meyer
- Publisher
- Elsevier Science
- Year
- 1998
- Tongue
- English
- Weight
- 443 KB
- Volume
- 272
- Category
- Article
- ISSN
- 0024-3795
No coin nor oath required. For personal study only.
β¦ Synopsis
An n X n irreducible stochastic matrix P can possess a subdominant eigenvalue. say h,(P), near h = I. In this article we clarify the relationship between the nearness of these eigenvalues and the near-uncoupling (some authors say "nearly completelydecomposable") of P. We prove that for fixed n, if h,(P) is sufficiently close to A = 1, then P is nearly uncoupled. We then provide examples which show that h,(P) must, in general, be remarkably close to I before such uncoupling occurs. 0 3998 Elsevier Science Inc.
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