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arXiv 1902.06249math.PR
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抛硬币马尔可夫链的泛函极限定理

A functional limit theorem for coin tossing Markov chains

Stefan Ankirchner, Thomas Kruse, Mikhail Urusov

摘要:

证明了马尔可夫链的一个泛函极限定理,该链在每一步中分别以概率$1/2$向上或向下移动一个可能的状态依赖常数.该定理的结果是:自然尺度下的一维正则连续强马尔可夫过程的律可以用这样的马尔可夫链任意好地逼近。泛函极限定理特别适用于不能表征为随机微分方程解的马尔可夫过程。我们的结果允许实际上近似这样的过程与不规则的行为,我们说明了这与马尔可夫过程表现出粘性功能,例如,粘性布朗运动和布朗运动在康托尔集上慢化。

英文摘要:

We prove a functional limit theorem for Markov chains that, in each step, move up or down by a possibly state dependent constant with probability $1/2$, respectively. The theorem entails that the law of every one-dimensional regular continuous strong Markov process in natural scale can be approximated with such Markov chains arbitrarily well. The functional limit theorem applies, in particular, to Markov processes that cannot be characterized as solutions to stochastic differential equations. Our results allow to practically approximate such processes with irregular behavior; we illustrate this with Markov processes exhibiting sticky features, e.g., sticky Brownian motion and a Brownian motion slowed down on the Cantor set.

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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