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Lyapunov-type conditions for non-strong ergodicity of Markov processes
Journal of Applied Probability ( IF 0.7 ) Pub Date : 2021-02-25 , DOI: 10.1017/jpr.2020.84 Yong-Hua Mao , Tao Wang
Journal of Applied Probability ( IF 0.7 ) Pub Date : 2021-02-25 , DOI: 10.1017/jpr.2020.84 Yong-Hua Mao , Tao Wang
We present Lyapunov-type conditions for non-strong ergodicity of Markov processes. Some concrete models are discussed, including diffusion processes on Riemannian manifolds and Ornstein–Uhlenbeck processes driven by symmetric $\alpha$ -stable processes. In particular, we show that any process of d -dimensional Ornstein–Uhlenbeck type driven by $\alpha$ -stable noise is not strongly ergodic for every $\alpha\in (0,2]$ .
中文翻译:
马尔可夫过程非强遍历性的李雅普诺夫型条件
我们提出了马尔可夫过程的非强遍历性的李雅普诺夫型条件。讨论了一些具体模型,包括黎曼流形上的扩散过程和对称驱动的 Ornstein-Uhlenbeck 过程$\阿尔法$ - 稳定的过程。特别是,我们表明任何过程d 维 Ornstein-Uhlenbeck 类型由$\阿尔法$ - 稳定的噪声不是强遍历的$\alpha\in (0,2]$ .
更新日期:2021-02-25
中文翻译:
马尔可夫过程非强遍历性的李雅普诺夫型条件
我们提出了马尔可夫过程的非强遍历性的李雅普诺夫型条件。讨论了一些具体模型,包括黎曼流形上的扩散过程和对称驱动的 Ornstein-Uhlenbeck 过程