A fundamental limitation to the reduction of Markov chains via aggregation

被引:0
作者
Kotsalis, Georgios [1 ]
Shamma, Jeff S. [1 ]
机构
[1] Georgia Inst Technol, Sch Elect & Comp Engn, Atlanta, GA 30332 USA
来源
2012 50TH ANNUAL ALLERTON CONFERENCE ON COMMUNICATION, CONTROL, AND COMPUTING (ALLERTON) | 2012年
关键词
MODELS;
D O I
暂无
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
This paper highlights a limitation of state space aggregation based model reduction of Markov chains. It is shown that within the set of Markov chains of a given dimension that admit an exact low order representation, the set of Markov chains where this exact low order representation can be extracted by means of aggregation based model reduction is a nowhere dense set.
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页码:1449 / 1454
页数:6
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