this paper, we discuss the discrete dynamical system GL+1 = PGI -g(h), n=O,l,..., (\*I arising as a discrete-time network of single neuron, where p is the internal decay rate, g is a signal function. First, we consider the case where g is of McCulloch-Pitts nonlinearity. Periodic orbits are discusse
Attractors for discrete periodic dynamical systems
β Scribed by John E. Franke; James F. Selgrade
- Publisher
- Elsevier Science
- Year
- 2003
- Tongue
- English
- Weight
- 282 KB
- Volume
- 286
- Category
- Article
- ISSN
- 0022-247X
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β¦ Synopsis
A mathematical framework is introduced to study attractors of discrete, nonautonomous dynamical systems which depend periodically on time. A structure theorem for such attractors is established which says that the attractor of a time-periodic dynamical system is the union of attractors of appropriate autonomous maps. If the nonautonomous system is a perturbation of an autonomous map, properties that the nonautonomous attractor inherits from the autonomous attractor are discussed. Examples from population biology are presented.
π SIMILAR VOLUMES
For a dynamical system on a connected metric space X, the global attractor (when it exists) is connected provided that either the semigroup is time-continuous or X is locally connected. Moreover, there exists an example of a dynamical system on a connected metric space which admits a disconnected gl
In this work we study the asymptotic properties of maps on fuzzy spaces which are extensions of maps on R". The main results are in Section 4 (see Theorem 2 1) and we give an illustrative example in the last section.