Abstract
In the last chapter we discussed the basic ideas of the theory of generalized cell mapping and some elements of the theory of Markov chains. From the discussion it is obvious that if a normal form of the transition probability matrix can be found, then a great deal of the system behavior is already on hand. To have a normal form (10.3.7) is essentially to know the persistent groups and the transient groups. In Section 10.5 we have seen some simple examples of generalized cell mapping. Those examples involve only a very small number of cells. The normal forms can be obtained merely by inspection. For applications of generalized cell mapping to dynamical systems where a very large number of cells are used, it is an entirely different matter. We need a viable procedure to discover persistent and transient groups and, if possible, the hierarchy among the transient groups.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
Author information
Authors and Affiliations
Rights and permissions
Copyright information
© 1987 Springer Science+Business Media New York
About this chapter
Cite this chapter
Hsu, C.S. (1987). Algorithms for Analyzing Generalized Cell Mappings. In: Cell-to-Cell Mapping. Applied Mathematical Sciences, vol 64. Springer, New York, NY. https://doi.org/10.1007/978-1-4757-3892-6_11
Download citation
DOI: https://doi.org/10.1007/978-1-4757-3892-6_11
Publisher Name: Springer, New York, NY
Print ISBN: 978-1-4419-3083-5
Online ISBN: 978-1-4757-3892-6
eBook Packages: Springer Book Archive