Abstract
The proof of Theorem 2.3 in our paper [3] is fully justified only under the additional assumption qi(n) = ain + bi, i = 1, …, ℓ. Correction in Markov case In the statement of Theorem 2.3, an additional assumption qi(n) = ain + bi is required which yields a homogeneous in time ℓ-component Markov chain (Formula Presented) with transition probabilities (Formula Presented) where (Formula Presented) is the k-step transition probability of the initial Markov chain ξn, n ≥ 0. Without this assumption, Ξn, n ≥ 0 forms, in general, an inhomogeneous Markov chain (even when ℓ = 1), and so the limits (Lyapunov exponents) in (2.8) may fail to exists. In addition, the large deviations estimates and other results from [1] and [2] we relied upon are proved there for homogeneous Markov chains only.
| Original language | English |
|---|---|
| Article number | 6 |
| Journal | Electronic Communications in Probability |
| Volume | 24 |
| DOIs |
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| State | Published - 2019 |
Bibliographical note
Publisher Copyright:© 2019, Institute of Mathematical Statistics. All rights reserved.
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Nonconventional random matrix products
Kifer, Y. & Sodin, S., 2018, In: Electronic Communications in Probability. 23Research output: Contribution to journal › Article › peer-review
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