Research output per year
Research output per year
Yuri Kifer, Sasha Sodin
Research output: Contribution to journal › Comment/debate
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 |
|
State | Published - 2019 |
Research output: Contribution to journal › Article › peer-review