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P Systems Computing the Period of Irreducible Markov Chains

机译:P系统计算不可约马尔可夫链的周期

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It is well known that any irreducible and aperiodic Markov chain has exactly one stationary distribution, and for any arbitrary initial distribution, the se- quence of distributions at time n converges to the stationary distribution, that is, the Markov chain is approaching equilibrium as n→∞. In this paper, a characterization of the aperiodicity in existential terms of some state is given. At the same time, a P system with external output is associated with any irre- ducible Markov chain. The designed system provides the aperiodicity of that Markov chain and spends a polynomial amount of resources with respect to the size of the in- put. A comparative analysis with respect to another known solution is described.
机译:众所周知,任何不可约且非周期性的马尔可夫链都具有一个正态分布,对于任何任意的初始分布,时间n处的分布序列都收敛于平稳分布,也就是说,马尔可夫链随着n趋于平衡。 →∞。在本文中,以某种状态的存在性来描述非周期性。同时,带有外部输出的P系统与任何不可约的马尔可夫链相关。设计的系统提供了该马尔可夫链的非周期性,并根据输入的大小花费了多项式的资源。描述了相对于另一种已知解决方案的比较分析。

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