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arXiv 0912.3231math.PR
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具有Markov切换的扩散方程的长时间行为

Long time behavior of diffusions with Markov switching

Jean-Baptiste Bardet, Hélène Guerin, Florent Malrieu

摘要:

设$Y$是由遍历有限状态马尔可夫过程$X$:$dY_t=-λ(X_t)Y_tdt+σ(X_t)dB_t$,$Y_0$控制的Ornstein-Uhlenbeck扩散.在遍历性条件下,得到了$Y$长时间行为的定量估计.我们还建立了一个尾部的平稳分布的$Y$:它可以是沉重的(只有一些时刻是有限的),指数型(只有一些指数矩是有限的)或高斯型(其拉普拉斯变换是有界的高斯上下)。临界时刻的特征在于模型的参数。

英文摘要:

Let $Y$ be an Ornstein-Uhlenbeck diffusion governed by an ergodic finite state Markov process $X$: $dY_t=-λ(X_t)Y_tdt+σ(X_t)dB_t$, $Y_0$ given. Under ergodicity condition, we get quantitative estimates for the long time behavior of $Y$. We also establish a trichotomy for the tail of the stationary distribution of $Y$: it can be heavy (only some moments are finite), exponential-like (only some exponential moments are finite) or Gaussian-like (its Laplace transform is bounded below and above by Gaussian ones). The critical moments are characterized by the parameters of the model.

机构、总结、中文摘要均由AI分析而来,可能存在错误,请以论文正文为准。

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