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Archaeologists, in surface surveys, are able to separate discrete systems by period, through a study of potsherds found on sites that lie along the canals.
Discrete systems can be subdivided only so far, and they can be described in terms of whole numbers 0, 1, 2, 3, ….
Discrete systems pose a greater challenge.
Both continuous and discrete systems are considered.
Similar equations are used in the case of discrete systems.
Linearisable discrete systems are a class of their own.
The application of the results to discrete systems is discussed.
Traffic systems are discrete systems that can be heavily populated.
For example, they appear in the theory of discrete systems and control theory of discrete systems as basic models of the discrete systems [3 5], and discrete-time signal processing as basic recurrence relations of sampled signals [6].
Kolyada and Snoha [1] gave the definition of topological entropy in non-autonomous discrete systems; Kolyada et al. [13] discussed minimality of non-autonomous discrete systems; Kempf [14] and Canovas [15] studied ω-limit sets in non-autonomous discrete systems.
Krabs [16] discussed stability in non-autonomous discrete systems; Huang et al. [17, 18] studied topological pressure and pre-image entropy of non-autonomous discrete systems.
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