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.
|Number of pages||11|
|Journal||International Journal of Bifurcation and Chaos in Applied Sciences and Engineering|
|State||Published - 1 Jan 2004|
- Cellular neural networks
- Spatial entropy
- Subshift of finite type
- Two-dimensional golden mean