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arXiv 1709.09275math.PR
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多时间尺度马尔可夫链的大偏差

Large deviations of Markov chains with multiple time-scales

Lea Popovic

摘要:

对于在多个时间尺度上演化的马尔可夫过程,大分量标度和快速波动平均的组合可以导致模型近似的有用限制。在文献[16]和[17]中已经证明了一个确定性极限的大数定律和围绕它的中心极限定理的一般方法。本文给出了证明多尺度马氏过程在道路空间中的大偏差原理的一般方法。受系统生物学模型的启发,我们将这些大偏差结果应用于具有多个时间尺度的一般化学反应系统,并为几个相关的例子提供了明确的计算。

英文摘要:

For Markov processes evolving on multiple time-scales a combination of large component scalings and averaging of rapid fluctuations can lead to useful limits for model approximation. A general approach to proving a law of large numbers to a deterministic limit and a central limit theorem around it have already been proven in [16] and [17]. We present here a general approach to proving a large deviation principle in path space for such multi-scale Markov processes. Motivated by models arising in systems biology, we apply these large deviation results to general chemical reaction systems which exhibit multiple time-scales, and provide explicit calculations for several relevant examples.

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