马尔可夫链中的不可预测性

IF 1.4 4区数学 Q1 MATHEMATICS

Carpathian Journal of Mathematics Pub Date : 2021-11-15 DOI:10.37193/cjm.2022.01.02

M. Akhmet

引用次数: 3

摘要

我们已经将马尔可夫链的实现形式化为方便构建的序列，并解释了为什么随机动力学允许不可预测性，这是我们之前在论文中引入的概念。应用了领域结构动力学（标签动力学）的方法。提供了一个具有适当数值模拟的示例。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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Unpredictability in Markov chains

We have formalized realizations of Markov chains as conveniently constructed sequences, and explained, why the random dynamics admits the unpredictability, the concept introduced in our papers previously. The method of the domain structured dynamics (dynamics on labels) has been applied. An illustrating example with a proper numerical simulation is provided.

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来源期刊

Carpathian Journal of Mathematics MATHEMATICS, APPLIED-MATHEMATICS

CiteScore

2.40

自引率

7.10%

发文量

审稿时长

>12 weeks

期刊介绍： Carpathian Journal of Mathematics publishes high quality original research papers and survey articles in all areas of pure and applied mathematics. It will also occasionally publish, as special issues, proceedings of international conferences, generally (co)-organized by the Department of Mathematics and Computer Science, North University Center at Baia Mare. There is no fee for the published papers but the journal offers an Open Access Option to interested contributors.