A ROBUST SPECTRAL METHOD FOR FINDING LUMPINGS AND META STABLE STATES OF NON-REVERSIBLE MARKOV CHAINS

被引:0
作者
Jacobi, Martin Nilsson [1 ]
机构
[1] Chalmers Univ Technol, Complex Syst Grp, Environm & Energy Dept, S-41296 Gothenburg, Sweden
来源
ELECTRONIC TRANSACTIONS ON NUMERICAL ANALYSIS | 2010年 / 37卷
关键词
Markov chain; stochastic matrix; metastable states; lumping; aggregation; modularity; block diagonal dominance; block stochastic;
D O I
暂无
中图分类号
O29 [应用数学];
学科分类号
070104 ;
摘要
A spectral method for identifying lumping in large Markov chains is presented. The identification of meta stable states is treated as a special case. The method is based on the spectral analysis of a self-adjoint matrix that is a function of the original transition matrix. It is demonstrated that the technique is more robust than existing methods when applied to noisy non-reversible Markov chains.
引用
收藏
页码:296 / 306
页数:11
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