Abstract
A sharper lower bound for the spatial entropy of two-dimensional golden mean was derived. The spatial entropy of subshifts of finite type was known to be the logarithm of the largest eigenvalue of its corresponding transition matrix. The relationship between m-transition matrix T(m) H, V and h(∑H, V) was also given. The recursive formula for constructing T(m)H, V was also found.
Original language | English |
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Pages (from-to) | 309-319 |
Number of pages | 11 |
Journal | International Journal of Bifurcation and Chaos in Applied Sciences and Engineering |
Volume | 14 |
Issue number | 1 |
DOIs | |
Publication status | Published - 2004 Jan |
Externally published | Yes |
Keywords
- Cellular neural networks
- Spatial entropy
- Subshift of finite type
- Two-dimensional golden mean
ASJC Scopus subject areas
- Modelling and Simulation
- Engineering (miscellaneous)
- General
- Applied Mathematics